Rapport AI
Speech Graphics · Chatbot
Rapport AI is a role-play training platform from Speech Graphics. Teams practice sales, service, and leadership conversations with real-time AI avatars, then get scored reports on what to fix.
About Rapport AI
What Is Rapport AI
Rapport AI is a browser based training platform for practicing conversations, with sales training and customer service as its main use cases. The other side of the table is a 3D avatar that listens, reacts, and answers in real time. After the session, Rapport generates a scorecard that rates how the learner handled the scenario against criteria the organization defines.
It comes from Speech Graphics, an Edinburgh company that spent years building audio driven facial animation for games. That background explains the product's main difference. Most training video is pre-recorded, so the learner answers a fixed script. Rapport renders the avatar live, which means the conversation can move in an unexpected direction and still look natural.
The limit is scope. Rapport is built for workplace conversations, not for entertainment or general chatbots. It also prices by conversation minutes, so heavy practice schedules need a budget conversation before rollout. Custom characters and deep integrations usually go through the sales team.
Getting Started
- Start a free trial on the Rapport site, which gives 50 minutes of avatar conversation and one creator seat.
- Pick a template for sales, service, leadership, or compliance, or write a scenario from scratch with personas, goals, and scoring criteria.
- Configure the avatar's voice, language, and behavior, then test the conversation yourself before sharing it.
- Invite learners by link, or connect the project to your LMS through SCORM or an iframe embed.
- Open the reports after each session, review the scorecard, and use cohort analytics to spot gaps across a team.
Product Information
A quick look at Rapport AI's pricing, supported platforms, and performance.
Best for
The users, tasks, and scenarios where this tool fits best.
Users
- Learning and development teams
- Sales enablement managers
- Customer service trainers
- Higher education faculty
Tasks
- Rehearsing a sales objection
- Practicing a hard management conversation
- Onboarding new hires on company frameworks
- Screening communication readiness
Scenarios
- Certification before a product launch
- Seasonal hiring waves in support
- Clinical communication courses
- Public facing installations
Key features
Real-Time 3D Avatars
The avatar is rendered live rather than played back from video. Rapport cites 50ms response latency, which keeps the rhythm close to a real conversation. Facial animation comes from Speech Graphics technology, so the character shows small reactions like blinks, brow movement, and head motion while the learner talks.
Scenario Builder With Templates
Projects start from a template or a blank scenario. You set the persona, the objective, the opening situation, and the criteria used for scoring. Templates cover sales objections, customer complaints, leadership conversations, and compliance topics, which cuts the setup time for a first pilot.
Performance Reports After Every Session
Each conversation produces a report instead of a vague summary. Learners see scores by criterion, quoted moments from the transcript, and specific behaviors to change. Managers can compare attempts over time, which turns practice into a visible improvement curve.
Cohort Analytics
The performance analytics dashboard rolls individual sessions into team and cohort views. Trainers can see where a group struggles, such as handling price objections or opening a conversation, and adjust the curriculum before the gap shows up in live performance.
LMS and Embed Deployment
Rapport runs in the browser, embeds in an iframe, and connects to learning systems through SCORM. That matters for organizations that already track training in an LMS. Learners keep one place for courses, and completion data stays with the rest of their record.
Developer Platform
The developer side exposes APIs and plugins for Unity and Unreal Engine. Teams can bring their own LLM, speech to text, and text to speech providers, including OpenAI, Gemini, Groq, Dialogflow, and Amazon Lex. Custom characters, MetaHumans, and on-premise hosting are available for enterprise builds.
Pros and cons
Pros
- Conversations feel live: the 50ms response time and audio driven facial animation make practice closer to a real room than a scripted video.
- Evidence, not impressions: every session ends with scored criteria and transcript moments, which helps managers coach with specifics.
- Fits existing training stacks: SCORM, LMS links, and iframe embeds avoid a second learning portal.
- Broad language coverage: speech integrations support dozens of languages, which suits global teams running one scenario.
Cons
- Minutes based pricing: the Pro plan includes 100 minutes per month, and heavier practice is billed at $0.21 per minute, so large cohorts add up quickly.
- Scenario design takes work: a useful scorecard depends on clear criteria, and a rushed setup produces generic feedback.
- Body animation lags: only face and lip sync are driven by audio today, and audio driven body motion is still in development.
- Enterprise features sit behind sales: custom branding, on-premise hosting, and unlimited creators require a custom contract, not a self-serve upgrade.
Frequently asked questions
Rapport AI is used for conversation practice at work. Learners talk to a 3D avatar in a scripted scenario, then review a report that scores their handling of the situation. Sales, customer service, leadership, and clinical communication are the main uses.
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