Athira
Athira provides an AI-powered platform that uses lifelike, real-time avatars to deliver corporate training and customer-facing interactions grounded in an organization's own knowledge base. The system measures comprehension through 250+ behavioral signals—including voice, facial expression, gaze, and response latency—and adapts teaching in real time, moving learners forward only when they demonstrate understanding. The platform also offers an API for embedding avatars on websites and a talent intelligence layer that tracks demonstrated capability with evidence.
- Artificial Intelligence
- AI Agents
- Education Technology
- Enterprise Software
- HR Technology
- Software Only
Funding
Founders
Founder details are not available yet.
Product
Problem
Organizational knowledge is fragmented across documents, workflows, and individual employees, creating a gap between what a company knows and what its people can actually do. Traditional training happens once, decays quickly, and fails to adapt to individual learning needs, leaving new hires unprepared and teams answering the same questions repeatedly.
Solution
Athira builds an intelligence layer for organizational learning through lifelike AI avatars that engage in real-time conversation with learners. The platform reads speech, timing, and intent together to respond within a second, while a cognitive modeling engine interprets 250+ behavioral and conversational signals to adapt teaching pace, depth, and practice. Answers are grounded in the organization's own sites, documents, and workflows, with citations to source material. Learners advance only when they demonstrate comprehension through practice scenarios, not merely when they finish content. The platform also offers an API product that puts a lifelike avatar on a company's website to answer customer questions from the company's own material, and a talent intelligence layer that tracks demonstrated capability with evidence for each claim.
Target Audience
Primary customers are enterprises seeking to accelerate new-hire onboarding and corporate training, as well as organizations needing AI-powered receptionist or knowledge-access solutions grounded in their own operational content.
Features
- Real-time avatar rendering with synchronized speech, expression, and response timing under one second
- Cognitive modeling engine interpreting 250+ live signals including voice, facial action units, gaze, response latency, and response trajectory
- Three-layer evidence model combining a Global Cognitive Prior, Domain Model, and Individual Learner State to choose next teaching actions
- Adaptive learning that adjusts pace, depth, and practice based on demonstrated capability rather than content completion
- Organizational knowledge grounding through Workspace Brain, indexing sites and documents with two-stage trust (sources and review) before approval
- Five session modes: Teach, Diagnose, Practice/Roleplay, Assignment, and Dialogue, with practice gated behind a diagnose pass
- Course creation pipeline that converts documents into structured learning points with author review and deliberate approval
- Talent and Capability Intelligence dashboard showing demonstrated capability concept-by-concept with evidence and audit records
- Receptionist Mode for public-facing interactions that begins fresh each session without retaining visitor data
- Longitudinal learner state tracking across sessions for corporate learning continuity
- Optional integrations with LMS, HRIS, SSO, content repositories, and collaboration tools that feed into Workspace Brain
- Custom avatar creation using a client's own face, voice, and name on the same real-time technology