What is Retorio?

Retorio is an AI coaching platform for enterprise sales, service, and leadership teams. Founded at the Technical University of Munich eight years ago, it was built on research developed at TUM, MIT, and the University of Tokyo, making it one of the few platforms in this space with genuine scientific foundations rather than marketing claims.

The core idea is straightforward. The more powerful AI becomes, the more buyers seek real human connection. Customers do not buy from the most technically proficient rep in the room. They buy from the person they trust. Retorio exists to develop that quality at scale, turning transactional sellers into trusted advisors through repeated, realistic practice and precise behavioral feedback.

How it works

Retorio's AI coach puts learners inside simulated conversations that mirror the situations they face every day: sales calls, objection handling, performance reviews, difficult customer interactions. After each role play, the platform analyzes both what was said and how it was said, covering verbal and non-verbal behavior, and delivers specific, actionable feedback tied to the organization's own standards and methods.

The result is coaching that is impactful, scalable, and measurable.

Impactful because the feedback goes beyond content. Retorio reads facial expressions, voice, body language, and language patterns to give people an honest picture of how they come across, not just what they said.

Scalable because the platform runs across teams, geographies, business units, and languages without adding headcount to the training function. One coaching program can reach thousands of users simultaneously.

Measurable because every session generates data. Organizations can track skill development over time, identify where their best performers behave differently, and replicate those winning behaviors across the rest of the team.

What is AI coaching and AI training software?

Traditional sales and leadership training has a well-known problem: people sit through a workshop, retain a fraction of what they heard, and then face a real customer or a difficult conversation with no meaningful practice behind them. AI coaching software exists to solve that gap, not by replacing training content, but by giving people a place to practice it until it sticks.

How it works

AI coaching platforms simulate realistic conversations using lifelike avatars or voice-based personas. These personas are built from actual customer profiles, complete with defined personalities, objections, needs, and communication styles. Learners engage with them in role plays that mirror the situations they face every day, whether that is a cold call, a negotiation, a product pitch, or a difficult performance conversation with a direct report.

After each interaction, the AI analyzes what happened and delivers immediate, specific feedback. Not generic encouragement, but precise observations: where the rep lost the thread of the conversation, which objection went unanswered, where their tone undermined their message, or how closely their response aligned with the methodology or product knowledge the organization expects.

Over time, the platform tracks progress, surfaces patterns across teams, and gives L&D and sales leaders objective data on where capability is strong and where it is not.

What makes it different from conventional training

Conventional training is episodic. AI coaching is continuous. A sales rep can complete ten role plays before a big meeting. A new hire can practice onboarding scenarios on day one. A manager preparing for a difficult conversation can rehearse it privately until they feel ready.

The scale is also categorically different. A human trainer can run a handful of role plays per day. An AI coach can run thousands simultaneously, delivering consistent quality of feedback regardless of time zone, cohort size, or how experienced the trainer is.

Content that once took months to build can be created in a fraction of the time. And because the platform learns from real usage data, the feedback becomes sharper and more relevant as the organization uses it more.

What Retorio's AI coach does

Retorio's AI coach combines verbal and behavioral analysis. It evaluates not just what a learner says but how they say it, reading facial expressions, voice characteristics, body language, and language patterns to give feedback on the full picture of how someone communicates.

Coaching programs are built from real business inputs. Managers upload persona sheets, product information, competitor data, or sales methodologies, and the platform turns them into ready-to-run coaching scenarios. Learners interact with photorealistic avatars in simulated video calls, receive immediate feedback tied to the organization's own standards, and can repeat scenarios until the behavior becomes natural.

What problems does Retorio solve?

Most organizations have accepted a uncomfortable truth about their training programs: they do not really know if they work. A workshop gets delivered, a box gets ticked, and performance either improves or it does not. The connection between the training investment and the business outcome is assumed rather than measured.

Retorio was built to fix that, and several related problems that sit underneath it.

Practice has no place in traditional training

The defining limitation of conventional sales, service, and leadership training is that it teaches without testing. People sit through content, absorb a fraction of it, and then face a real customer or a difficult conversation with no meaningful rehearsal behind them. Reading about objection handling is not the same as handling an objection. Watching a negotiation technique demonstrated is not the same as negotiating.

Retorio gives people a place to practice. Not in theory, but in realistic simulated conversations that mirror the situations they will face. The feedback is immediate, specific, and tied to the organization's own standards. People can repeat scenarios until the behavior becomes natural, not just familiar.

Good coaching does not scale

A skilled coach is one of the most effective development tools an organization has. They are also expensive, scarce, and unavailable at the moment of need. The result is that coaching tends to be rationed: reserved for senior people, delivered in brief bursts, and inconsistent in quality depending on who is doing it.

Retorio removes the constraint. The same quality of behavioral feedback that a skilled coach would provide is available to every rep, every agent, and every manager on the platform, simultaneously, in 13 languages, across every geography the organization operates in. A company with 3,000 customer-facing employees can run personalized coaching at scale without building a coaching team to match.

Training impact is invisible

L&D and commercial leaders routinely struggle to answer a simple question: is our training actually working? Completion rates tell you nothing about behavior change. Survey scores tell you whether people enjoyed the session. Neither tells you whether performance improved.

Retorio generates objective data from every session. It tracks behavioral development over time, surfaces patterns across teams, and makes it possible to identify what the best performers do differently and replicate it across the rest of the organization. For the first time, training has a measurable signal.

Change does not reach the front line fast enough

When a product launches, a sales methodology changes, or a compliance requirement shifts, organizations need their entire commercial population to internalize the new information quickly. Traditional training cannot move fast enough. Scheduling workshops, booking facilitators, and cascading content through regional teams takes weeks or months.

Retorio compresses that timeline. New coaching programs can be built and deployed in a fraction of the time, reaching the full user base simultaneously without logistical constraints.

The result

Retorio makes coaching impactful, because behavioral feedback works. Scalable, because it reaches every person in the organization regardless of location, language, or team size. And measurable, because every session generates data that connects training activity to business outcomes.

What use cases does Retorio cover?

Retorio is an AI coaching platform built for enterprise teams. It covers the full range of people development challenges that arise in sales, service, and leadership, from getting new hires productive faster to preparing experienced managers for the conversations that define their effectiveness.

Onboarding and Qualification

The first weeks in a new role are where the most time and money are lost. Retorio compresses ramp-up time by giving new hires a place to practice real conversations before they happen live. The result is faster speed to competency, higher certification pass rates, and lower onboarding drop-off. Clients consistently report shorter time-to-first-sale and significantly reduced re-takes on qualification assessments.

Key metrics: time-to-first-sale, ramp-up duration, certification pass rate, onboarding readiness index

Contact Center Enablement

In contact centers, every call counts. Retorio trains service reps to handle customer conversations more efficiently and with more empathy, improving both operational performance and the customer experience. Teams practice realistic scenarios, receive behavioral feedback on what they said and how they said it, and enter live calls better prepared.

Key metrics: average handling time (AHT), first call resolution (FCR), NPS, CSAT, sentiment scores

Sales Method Coaching

Retorio covers the core commercial skills that determine whether a sales team wins or loses: cold calling, objection handling, and negotiation. Rather than sitting through a workshop and forgetting 80% of it, reps practice repeatedly in realistic role plays and get precise feedback on their behavior. Over time, this builds the kind of muscle memory that actually shows up in results.

Key metrics: SQL rate, call reluctance, conversion rate, deal loss rate, average deal margin, discount rate

Solution Selling

For teams selling complex, high-value solutions, generic sales training is rarely enough. Retorio helps reps qualify opportunities more sharply, sell across a broader portfolio, and adapt their approach to different buyer personas. The platform simulates realistic decision-maker conversations so reps can practice the nuance that enterprise deals demand.

Key metrics: qualified pipeline volume, average deal size, multi-product adoption rate, deal relevance score, persona engagement rate

Product Enablement

When a product launches, gets repositioned, or changes, the entire commercial team needs to internalize new messaging fast. Retorio accelerates that process by giving reps a way to practice pitching the new product or message before they are in front of a customer. This applies equally to pre-launch preparation, go-live readiness, and ongoing fine-tuning as market feedback comes in.

Key metrics: assessment scores, message accuracy, time-to-market readiness, launch adoption rate, message recall rate, win rate post-repositioning

Retail Performance

In retail, the difference between a good and a great customer interaction often comes down to a single conversation moment. Retorio trains retail staff to increase basket size, improve upselling and cross-selling, and represent the brand with consistency across every customer touchpoint. This applies equally to agency-model sales forces, staff navigating retail transformation, and teams making the shift from transactional selling to solution-based conversations.

Key metrics: units per transaction (UPT), average basket size, attach rate, revenue per customer, brand consistency scores

Emerging Leader Journeys

Promotion into a leadership role rarely comes with sufficient preparation. Retorio gives new and developing managers a safe environment to practice the conversations that define effective leadership: performance reviews, salary discussions, difficult feedback, hiring and letting go, and building psychological safety within their teams. Organizations use Retorio to build succession pipelines, reduce time-to-fill for leadership roles, and decrease attrition driven by poor management.

Key metrics: team performance metrics, internal placement rate, succession bench strength, time-to-fill leadership roles, attrition rate

Retorio in Pharma

The pharmaceutical commercial cycle is long, complex, and heavily regulated. Retorio supports field force effectiveness at every stage, from building scientific storytelling skills ahead of a product launch to sharpening objection handling during the growth phase to repositioning messaging when a drug moves into a new indication or market.

Retorio is MLR-review compliant, built to avoid hallucinations, and designed for the compliance requirements of regulated industries. Clients including Merck and Amgen use it to coach medical sales reps and key account managers across multiple countries and languages.

Relevant stages: pre-launch preparation, market entry and launch readiness, growth phase acceleration, product repositioning, performance fine-tuning, maturity phase retention

Retorio in Insurance

Insurance sales demands a specific combination of regulatory knowledge, product fluency, and trust-based communication. Retorio covers the full training lifecycle for insurance sales forces, including preparation for IHK examinations, ongoing IDD compliance training, product knowledge certification, DORA-related requirements, and claims management communication.

Nürnberger Versicherung uses Retorio to supercharge sales onboarding while establishing itself as a leader in data-driven, practice-oriented training. AXA, R+V Versicherung, die Bayerische, Versicherungskammer Bayern, and Münchner Verein are among the other insurers that have built Retorio into their training infrastructure.

Retorio in Telco

Telecommunications companies face some of the highest-volume, highest-churn sales and service environments in any industry. Retorio trains contact center teams and field sales forces on solution selling, upselling, complaint handling, and, for B2B and enterprise telco teams, stakeholder management in complex technology sales. Vodafone VOIS reduced ramp-up time from 8 weeks to under 6 weeks and increased training efficiency more than threefold using Retorio across its service centers in Egypt and India.

Retorio in FMCG

In fast-moving consumer goods, commercial teams need to negotiate hard, sell portfolios strategically, and stay compliant across markets. Retorio supports negotiation training for buyer-facing teams, solution and portfolio selling skills, and compliance-critical communication scenarios. It is well suited to large, distributed commercial organizations where consistency of message and method across regions is a constant challenge.

Retorio in Leadership Development

Effective leadership is a learned skill, and most organizations under-invest in the practice side of it. Retorio gives managers at all levels a private, low-stakes environment to rehearse the conversations that have the highest stakes in real life: performance management, annual reviews, salary negotiations, hiring decisions, letting people go, and creating the conditions for psychological safety in their teams. Organizations use Retorio to build stronger leaders faster, reduce people-driven attrition, and develop a deeper internal bench for succession.

Retorio works with enterprises that have large, distributed customer-facing or leadership teams and need coaching that goes beyond a periodic workshop.

We typically work with sales academies, sales enablement teams, service enablement teams, heads of sales, L&D professionals, commercial excellence owners, commercial excellence experts or C-Level.

Retorio is EU-hosted, GDPR and EU AI Act compliant, and ISO 27001 certified, making it suitable for regulated industries including pharma, insurance, and financial services. The platform is available in 13 languages and supports global rollouts with auto-translation.

What companies use Retorio?

Retorio is trusted by 50+ enterprise clients across industries where scalable, high-quality people development is a strategic priority, including telecom, automotive, pharma, medtech, insurance, semiconductors, and logistics.

Named clients include Vodafone/VOIS, Daimler Truck, Merck, Amgen, Kraft Heinz, Deutsche Telekom, AXA, R+V Versicherung, Nürnberger Versicherung, die Bayerische, Versicherungskammer Bayern, and Münchner Verein, among others.

Telecommunications is one of Retorio's strongest verticals. Vodafone VOIS deployed Retorio to onboard and upskill customer care reps across its service centers in Egypt and India. Ramp-up time dropped from 8 weeks to under 6 weeks, training efficiency increased more than threefold, and the time investment per new hire fell from 26 trainer hours to just 8.

In automotive, clients like Daimler Truck use Retorio to develop sales and service teams at scale. In a proof-of-value project with a large automotive sales cluster of a premium OEM with around 120 reps, Retorio shifted the top-performer ratio from 17% to over 30% within four months, delivering approximately €4M (+7%) in additional revenue in that period and a projected €11M (+21%) uplift over 12 months. Porsche's VC arm invested in Retorio's Series A round.

Insurance is one of Retorio's fastest-growing verticals, with a strong cluster of leading German-speaking insurers already on the platform. Nürnberger Versicherung partnered with Retorio to move away from traditional classroom-based training toward AI-powered video simulations that are data-driven, practice-oriented, and scalable. AXA, R+V Versicherung, die Bayerische, Versicherungskammer Bayern, and Münchner Verein are among the other insurers using Retorio to develop customer-facing and sales teams across their organizations. In an industry defined by complex products, trust-based selling, and strict regulatory requirements, Retorio's compliant AI and behavioral feedback approach is a natural fit.

In pharma and medtech, clients like Merck and Amgen, or Madrigal Pharmaceuticals use Retorio to coach medical sales reps and key account managers across multiple countries and languages, where scientific credibility and nuanced communication are essential to every customer conversation.

Beyond sales and service, Retorio is increasingly deployed for leadership development. Organizations use it to help managers and team leads practice high-stakes conversations, from giving difficult feedback and running performance reviews to motivating teams through periods of change. The same behavioral coaching approach that builds commercial skills in front-line teams applies equally to developing the interpersonal effectiveness of leaders across all levels of an organization.

Retorio typically works with organizations employing at least 1,000 people, or with a minimum of 300 people in customer-facing roles. A significant share of clients run Retorio across multiple geographies simultaneously. The platform supports 13 languages with auto-translation for fast international rollouts.

For smaller organizations, Retorio works with select HR consultancies and training agencies. Book a demo to find out whether Retorio is the right fit for you directly or through one of its partners.

Is Retorio GDPR and EU AI Act compliant?

Yes. Retorio is fully compliant with both GDPR and the EU AI Act. This has been independently confirmed by CMS, one of Europe's leading law firms, in a legal memorandum dated February 2025.

EU AI Act: Not a prohibited or high-risk AI system

The EU AI Act prohibits AI systems that infer emotions in workplace or educational settings (Article 5(1)(f)). Retorio's AI does not do this. While it analyzes readily apparent behavioral cues, such as visible facial expressions (e.g. a smile) and simple voice characteristics (e.g. speech pace, tone), it does not interpret or deduce users' inner emotional states. CMS confirmed that these observable signals fall outside the definition of "emotion inference" under the AI Act.

Retorio is also not classified as a high-risk AI system. The AI Act designates high-risk status to systems used in recruitment, hiring decisions, exam evaluation, or employment monitoring. Retorio is designed exclusively for coaching and skill development, it does not screen job candidates, influence hiring or promotion decisions, or track employee performance in any way that affects their employment status.

GDPR

Retorio processes user data in accordance with GDPR requirements. All data remains within EU infrastructure, and users retain full control over their data. For full details, see our pricacy policy.

Retorio is headquartered in Munich, Germany, with offices in Vienna, Austria and Calgary, Canada. The platform serves enterprise clients globally, across the European Union, the United States, Canada, Latin America, India, the Middle East, and East Asia including Singapore, Hong Kong, and Japan. Service availability in China may be subject to limitations due to technical constraints.

The platform currently supports the following languages, along with the countries where each is commonly spoken:

English – United States, United Kingdom, Canada, Australia, New Zealand, Ireland, Singapore, Hong Kong, India, South Africa, and most international business contexts globally

German – Germany, Austria, Switzerland, Luxembourg, Liechtenstein

French – France, Belgium, Switzerland, Luxembourg, Canada (Quebec), and across large parts of Sub-Saharan Africa and North Africa

Spanish – Spain, Mexico, Colombia, Argentina, Chile, Peru, Ecuador, Venezuela, Bolivia, Paraguay, Uruguay, Panama, Costa Rica, Honduras, El Salvador, Nicaragua, Guatemala, Dominican Republic, Cuba, and parts of the United States

Portuguese – Portugal, Brazil, Angola, Mozambique, Cape Verde

Italian – Italy, Switzerland, San Marino

Dutch – Netherlands, Belgium, Suriname

Bulgarian – Bulgaria

Greek – Greece, Cyprus

Russian – Russia, Belarus, Kazakhstan, Kyrgyzstan, and widely spoken across Central Asia and the Caucasus region

Korean – South Korea

Turkish – Turkey, Cyprus, and Azerbaijani-speaking communities

Content and coaching interfaces can be automatically translated between all of the above languages, allowing organizations to deploy consistent training programs across geographically distributed teams without having to rebuild content from scratch for each region.

Every human conversation carries far more information than the words being spoken. Decades of communication research show that what people take away from an interaction is shaped by tone of voice, facial expression, and body language just as much as by content itself. Retorio's behavioral model was built on this reality.

A multimodal approach

Retorio analyzes behavior across three channels simultaneously: what is said, how it is said, and how it looks. Verbal content, voice characteristics, and visual signals from video are processed in parallel, not in isolation. This matters because no single channel tells the full story. A rep might give a technically correct answer to an objection while their body language signals uncertainty. Retorio catches these gaps between channels that humans intuitively sense but rarely articulate.

The verbal layer evaluates content and substance: whether the learner followed the right methodology, covered required talking points, or handled an objection effectively. The vocal layer captures how the message lands through the voice: pace, tonal variation, pause placement, and fluency. The visual layer reads facial expressions, eye contact, posture, and gestures, the cues that make a customer feel heard and trusted, often without knowing why.

From a GDPR perspective

Retorio acts as a Data Processor under GDPR, handling personal data on behalf of the client organization, which remains the Data Controller. The personal data categories are narrow: email addresses (optional, only if actively provided) and end-user videos recorded during role-play sessions.

Retorio's models are not designed to identify individuals. They exist solely to generate coaching feedback. Analytics are only surfaced at cohort level, with a default minimum of seven users before any aggregated results become visible. Individual results remain private to the learner at all times. All data is hosted within the EU, backed by ISO 27001 certification and AES-256 encryption at rest.

What makes Retorio different from other AI coaching platforms?

Retorio is one of the pioneers of AI coaching, founded at the Technical University of Munich eight years ago on research from TUM, MIT, and the University of Tokyo. That head start shows in the depth of the technology and the breadth of enterprise experience.

Multimodal behavioral intelligence

Most AI coaching tools, including Second Nature, Yoodli, and Quantified AI, evaluate whether a learner covered the right content. Retorio evaluates in much more depth, how they communicated it. The platform analyzes three channels simultaneously: words, voice (pacing, pitch, vocal stability), and body language (eye contact, posture, facial expressions). Crucially, it also detects whether those channels are aligned, because when a rep's words say confidence but their body language says doubt, the customer notices.

The Warmth and Competence framework

Retorio's feedback is organized around a scientifically validated behavioral model. Every customer interaction triggers two unconscious questions: do I trust this person, and can they help me? These map to Warmth (active listening, empathy) and Competence (confidence, strategic communication). Retorio predicts how a learner's behavior is likely to be perceived by the other person, not just what they said.

Hyper-realistic personas and immersive role plays

Retorio's photorealistic avatars have configurable personalities, attitudes, and communication styles. They respond dynamically to learner input rather than following scripts. Sessions run as video or phone-call simulations, with real-time coaching during the conversation and structured behavioral feedback after.

Content generation at enterprise scale

The Coaching Generator builds complete programs from scratch in minutes using uploaded materials like playbooks, product docs, or compliance guidelines. The Persona Generator creates realistic virtual conversation partners that can be reused across dozens of scenarios. A small L&D team can serve thousands of users across multiple markets without external production support.

Guided AI feedback for every type of learner

Post-session feedback adapts to the learner: a quick overview with three key action points for busy professionals, a guided coaching journey with video highlights for most users, and a full deep-dive for those who want complete transparency. Every insight is tied to a specific moment in the recording.

Enterprise experience that compounds over time

Eight years of deploying AI coaching in regulated industries, from insurance and pharma to automotive and telco, produces operational knowledge that newer platforms do not have. Retorio achieves voluntary activation rates above 80% and an average of ten-plus coaching sessions per active user. Enterprise features include SSO, role-based access control, cohort management, LMS and CRM integrations, and anonymous token-based enrollment for privacy-sensitive environments.

Language coverage and global scalability

Retorio supports more than twelve languages including English, German, French, Spanish, Portuguese, Italian, Dutch, Turkish, Korean, Russian, and Greek, with auto-translation for cross-regional rollouts. One coaching program can reach teams across fifteen countries without rebuilding content for each market.

Security, compliance, and EU data residency

All data is hosted and processed within the European Union. Retorio is GDPR compliant, EU AI Act aligned, and ISO 27001 certified. An independent legal assessment by CMS confirmed that Retorio does not perform prohibited emotion inference and does not fall under high-risk AI categories. For procurement teams in regulated industries, this combination of EU residency, independent legal validation, and certified security is a prerequisite, and Retorio meets it.

Please schedule a demo and we are happy to provide you with access to a free trial if we see potential for a collaboration.

When certain criteria are met, Retorio offers Proof-of-Value (PoV) projects to help clients build business cases and prepare larger roll-outs.  Please schedule a demo to learn more.

No! Retorio does not train its models on client data, and several architectural decisions make this explicit rather than just a policy statement.

Retorio does not build or own the foundation models used for inference. The platform calls third-party APIs from Google (Vertex AI / Gemini) and Microsoft Azure (OpenAI / GPT-4o) on a per-session basis. Each API call is individual and isolated, no session data is passed into another client's context, and Retorio has no mechanism to feed interaction data back into those foundation models, which are owned and controlled by Google and Microsoft.

For Retorio's own in-house models (used for behavioral analysis such as vocal and visual signals), training data consists exclusively of openly and commercially available datasets. This is documented internally as a governance requirement: data sources, licenses, and rights are recorded in project charters before any model development begins. Client interaction data is not used as training input.

In production, sessions are monitored for quality and content filtering using Langfuse, which is self-hosted on Retorio's own infrastructure. This monitoring is used to improve prompt quality and catch issues — not to retrain models.

A few additional safeguards worth noting: AI-generated content used in coaching sessions (such as scenario generation) goes through human review by an administrator before it is published to end users, which also serves as a check against model drift or unexpected outputs. And since each coaching session runs as a fully isolated inference call, there is no cross-contamination between tenants at the model level.

Retorio approaches this problem on several levels rather than relying on a single safeguard.

Human review before publication

The most direct control is a human-in-the-loop requirement: any AI-generated content used in coaching sessions - such as scenarios, personas, or session structures — must be reviewed and approved by a training administrator before it goes live to end users. This means a hallucinated fact, a fabricated product claim, or an off-brief persona description gets caught before any learner ever sees it.

Grounding in administrator-provided content

The Session Generator only injects data that has been explicitly provided and reviewed by the administrator. Product documentation, battle cards, sales playbooks, compliance guidelines - all of this is uploaded by the client and used as the factual reference for scenario generation. The AI does not generate content from general world knowledge in an unconstrained way; it works within the boundaries of what the organization has defined.

The referencing feature

This is particularly relevant for the Applied Knowledge dimension. When a learner completes a role-play session, the feedback on whether they followed instructions correctly is not based on the AI's open-ended judgment - it is validated against the specific Do's and How's that the administrator defined upfront. The system compares what the learner said against those pre-written reference phrasings using embedding similarity. If the administrator wrote "You are currently paying €100 per month for Sky, Netflix and Disney+. With Magenta TV Smart you would pay only €70," that exact reference is what the system checks against - not a generated approximation of it. This anchors the factual feedback to verified content rather than model inference.

Monitoring in production

All LLM calls in production are traced through Langfuse, which is self-hosted on Retorio's own infrastructure. This gives the team visibility into generation quality, content filter triggers, and call sequences in real time. Prompts are version-controlled and updated regularly based on what the monitoring surfaces.

Isolated sessions

Each coaching session runs as a fully independent inference call. There is no shared context between users or tenants, which prevents one session's outputs from contaminating another and limits the blast radius of any single unexpected model output.

Taken together, the approach treats hallucination prevention as a process problem as much as a model problem — grounding inputs, reviewing outputs, and monitoring continuously rather than trusting the model to self-correct.

By default, all user data is hosted and processed within the European Union. The primary cloud infrastructure runs on Google Cloud Platform (GCP), which covers the main application backend, video storage, databases, and AI inferencing via Vertex AI and Gemini. GCP operates across 9 EU regions. Certain AI services additionally run on Microsoft Azure, specifically the OpenAI integration, with Langfuse (used for LLM monitoring) self-hosted on an Azure virtual machine also within the EU.

The database layer uses Google Cloud PostgreSQL and MongoDB Atlas, both hosted in EU data centers. Video recordings and other user-generated content are stored in Google Cloud Storage buckets in the europe-west1 region.

On the security side, all data is encrypted at rest using AES-256 (Google's default encryption standard) and in transit using TLS 1.3. Retorio holds ISO 27001 certification, audited by TÜV, with the initial certification granted in 2024 and renewed on an annual base.

For clients who want to verify the specifics of where data flows across sub-processors, Retorio provides a Data Processing Agreement (DPA) on request.

How is Retorio priced?

Retorio uses a package-based subscription model with an annual base fee and a tiered license structure that scales with the size and complexity of a client's deployment. The model is designed to give organizations a predictable cost base while offering flexibility as their use of the platform grows.

Packages

There are different packages, each designed for a different type of organization and deployment context.

The entry-level package is built for small and medium-sized businesses and partner-led deployments. Moving up, there is a dedicated package for contact center teams operating exclusively over the phone, with a streamlined feature set suited to high-volume call environments.

For larger organizations, enterprise packages are available. The first covers deployments centered in a specific market or department. The second is an enterprise starter suited to organizations that need sophisticated reporting from the outset. The top-tier package is built for clients who need to reach a large user base across multiple markets and business units, and comes with the fullest feature set, including auto-translation, custom analytics, and integrations as standard.

Licenses

Licenses are available in several formats to match how organizations actually train their people.  This matters in practice: a contact center running frequent onboarding cohorts has very different needs from an enterprise sales team doing periodic coaching sprints. Licenses can be passed on from user to user once the active period expires, which gives organizations flexibility in how they allocate access across a rotating workforce.

As the number of licenses grows, the per-user cost decreases across nine pricing tiers. This means that scaling up is actively incentivized: the more users an organization trains, the more cost-efficient the platform becomes per person.

Add-ons

Beyond the base package, clients can extend their setup with add-ons. These include additional serviced accounts for organizations running Retorio across multiple markets or business units, additional languages, auto-translation, SSO, CRM or LMS integrations, and consulting days for content or rollout support. The higher-tier packages include many of these as standard.

Commercial Terms

Enterprise contracts run for 36 months with annual payment in advance and a 60-day cancellation notice period. Clients who pay the full contract term upfront receive a discount. Payment is available in both EUR and USD.

What this means for clients

The model rewards commitment and scale. Organizations that standardize on Retorio across multiple teams, markets, or business units benefit from lower per-user costs, richer analytics, more account management support, and greater integration flexibility. At the same time, the package structure means that smaller deployments or single-market rollouts are not overcharged for features they do not need.

Can I partner with Retorio?

Yes. Retorio works with a select network of partners and actively looks for organizations that share its commitment to measurable, enterprise-grade people development.

Who Retorio partners with

Retorio's partnership model is built around four types of organizations.

Resellers are sales consultancies and agencies that bring Retorio to their clients as part of their commercial offering. This is suited to organizations with an established enterprise client base and a sales motion that includes L&D and sales enablement,.

Referral partners are trusted advisors, coaches, and consultants who recommend Retorio to their networks. This model works well for individuals and boutique firms who frequently advise on talent development, commercial effectiveness, or digital transformation.

Implementation partners support client onboarding, content creation, and platform adoption. These are typically established sales consultancies, training agencies, or system integrators with deep expertise in a specific industry or use case. Current implementation partners include organizations specializing in pharma, insurance, retail, telco, and automotive training.

Technology partners are platforms and ecosystems where Retorio integrates to extend its reach, including LMS providers, CRM vendors, and enterprise software platforms.

What partners get

Partners receive access to sales collateral including industry case studies, competitor battlecards, platform whitepapers, and AI Act documentation for client conversations.

Retorio's customer success team supports partners through onboarding and ongoing enablement. Referral and reseller partners receive commercial terms based on volume commitment, with pricing that scales as the partnership grows.

Who it is a good fit for

The strongest partnerships tend to come from HR consultancies, sales training agencies, coaching firms, and system integrators that work with large enterprises in industries where Retorio already has depth: insurance, telco, automotive, pharma, retail, and FMCG. If your clients employ large customer-facing or sales teams and are looking for ways to develop those teams at scale, Retorio is likely a natural fit for your portfolio.

Here's the expanded version with all subdimensions:

Applied Knowledge measures what was said -- whether the learner followed the scenario-specific instructions defined by their training administrator.

Active Listening measures whether the learner demonstrates genuine attention and understanding, assessed through two subdimensions:

• Attention & Focus -- body language, facial expressions, eye contact, and use of minimal encouragers ("mm-hmm," "I see") while the other person is speaking

• Verbal Mirroring -- paraphrasing, labeling, summarizing, and clarifying questions in the learner's own responses

Empathy measures whether the learner recognizes and responds to the conversation partner's emotional state, assessed through two subdimensions:

• Empathetic Response Generation -- whether empathy is expressed across all three channels: facial expressions, body language & eye contact (visual); sentiment and word choice (textual); pacing, pitch modulation, and vocal stability/jitter/shimmer (auditory)

• Verbal & Nonverbal Alignment -- whether those channels are consistent with each other; mismatches between words, voice, and body language are flagged separately for verbal-visual and verbal-vocal alignment

Confidence measures how assured and credible the learner comes across, assessed through three subdimensions:

• Doubt Words (Hedging Language) -- frequency of epistemic hedges ("I think," "maybe"), content hedges ("kind of," "roughly"), and interpersonal hedges ("if you don't mind")

• Filler Words -- frequency of hesitation sounds ("um," "uh") and discourse markers ("like," "you know")

• Presence -- overall physical and vocal bearing across body language & gestures, eye contact, pacing, pitch modulation, and vocal stability

Persona-Oriented Communication measures how well the learner adapts their style to the conversation partner, assessed through four subdimensions:

• Lexical Sophistication -- whether vocabulary complexity (simple vs. technical/professional) matches the audience

• Syntactic Complexity -- whether sentence structure and length (short & direct vs. multi-clause) fits the context

• Conceptual Abstraction -- whether the level of abstraction (concrete facts vs. principles and frameworks) suits the conversation goal

• Information Density -- whether the amount of information packed into each statement is appropriate for the listener

What admins can customize is the Applied Knowledge dimension, which is essentially the mechanism for injecting scenario-specific requirements (incl. Skills) into a session. Through the Session Generator, admins define:

• Instructions ("Do's") - specific actions or statements the learner should execute (e.g. "Ask about the customer's current streaming services")
  
  
• How's - optional best-practice phrasings written in direct speech that show how to execute each instruction

• Stages - organizing instructions by conversation phase (Beginning, Main Part, End)

Applied Knowledge gives admins significant flexibility to tailor what gets measured to their specific business context, product knowledge, compliance requirements, or sales methodology.

Yes, and the numbers back it up. Across Retorio deployments, voluntary return rates consistently exceed 80%, with most reps completing training sessions without being prompted. That's the benchmark we hold ourselves to, because a tool nobody uses is a tool that delivers nothing.

Engagement doesn't happen by accident. Retorio's Customer Success team, with decades of combined experience in enterprise sales training, works with you from day one to design scenarios reps find genuinely useful: real objections, real products, real customer types. When practice feels relevant, people show up for it.