Schemata develops spatial AI training platforms that create immersive 3D environments derived from physical assets for procedural practice. The platform integrates an adaptive AI instructor to deliver consistent, expert-level guidance during training simulations. This system supports both classroom learning and on-site field operations by providing performance analytics and AI guidance at the point of need.
Funding
$5M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Organizations that need to train personnel on complex equipment rely on paper manuals, isolated simulators, or on‑site experts, which limits training frequency, introduces safety risks, and creates inconsistent instruction across locations.
Solution
Schemata delivers a spatial AI training platform that converts physical assets into immersive, photorealistic 3D environments. An integrated AI instructor provides step‑by‑step guidance, monitors learner actions, and adapts the curriculum to each user’s performance. The system supports both classroom‑based and edge‑deployed scenarios, enabling repeatable practice of procedures, inspections, and maintenance tasks without physical hardware. Real‑time analytics dashboards capture completion rates, skill gaps, and performance metrics, giving trainers actionable insights. Secure deployment options allow the platform to operate within isolated networks, replacing traditional paper manuals and reducing reliance on on‑site experts.
Target Audience
Primary customers are defense and aerospace operators, industrial manufacturers, and enterprise maintenance teams that require consistent, high‑fidelity procedural training for technicians and operators.
Features
- Automated 3D asset capture pipeline that generates high‑fidelity, photorealistic models from real equipment data.
- AI‑driven instructor that delivers contextual, step‑wise instructions, monitors actions, and adjusts difficulty based on learner performance.
- Adaptive learning engine that personalizes training paths and provides instant feedback to close skill gaps.
- Real‑time instructor analytics dashboard with metrics on task completion, error rates, and proficiency trends.
- Edge‑ready deployment with end‑to‑end encryption, supporting operation on secure, isolated networks without internet connectivity.
- Integration layer for existing learning management systems (LMS) and enterprise asset management tools via standard APIs.
- Multi‑device support for VR headsets, desktop, and tablet interfaces, enabling training in both classroom and field environments.