Our technology
Fourteen pillars of a validation-first platform
Physical AI, generative AI and agents, knowledge search, vision and voice recognition, avatars, edge and predictive AI, digital twins, fine-tuning and deployment, the datasets behind them, and the communication tools your teams already use, all on your hardware.
Physical AI
Small vision and decision models that perceive and act in the physical world: robots, machines, screens and sites, on your own hardware.
Learn more →Generative AI & LLMs
Private large language models that write, summarise, translate and answer in your company's own words, running on your hardware instead of a public cloud.
Learn more →AI Agents & Copilots
Digital co-workers that plan and carry out multi-step tasks in your systems, and copilots that assist each employee inside the tools they already use.
Learn more →Agentic AI Data Pipeline
A modular, on-premise pipeline of agents and verifiers that turns raw tickets, documents, logs and images into validated, evidenced outputs.
Learn more →RAG & Knowledge Search
Chat with your own documents: answers drawn from your manuals, contracts, procedures and tickets, each one with a link to its source.
Learn more →Video & Image Recognition
Fine-tuned recognition for screens, scans, inspections and video streams, reaching near-LLM quality at a fraction of the tokens.
Learn more →AI Avatars & Digital Humans
Lifelike talking avatars for reception, sales, training and interviews, speaking your customers' languages with your company's knowledge behind them.
Learn more →Edge AI
Models that run on the device itself: cameras, robots, vehicles and industrial PCs, working in real time without an internet connection.
Learn more →Predictive AI
Forecasts from your own history: which machine will fail, what demand will be and where a delay is coming, early enough to act.
Learn more →Digital Twins & Simulation
A virtual copy of your line, warehouse or robot cell, used to train and test models safely before anything changes on the real floor.
Learn more →Model Fine-Tune & Deploy
From base model to a specialised small model on your edge hardware: fine-tuning, evaluation, quantisation and rollout with hardware-in-the-loop checks.
Learn more →Dataset Processing
Collection, de-identification, labelling and curation of your own screens, images, documents and logs into training-ready datasets that stay on your site.
Learn more →Voice Recognition
Speech-to-text, speaker and intent recognition adapted to your vocabulary, accents and noisy environments, running on-premise or on the device.
Learn more →Communication Tools Integration
Agents that work inside the tools your teams already use: Teams, Slack, email, WhatsApp, phone and ticketing, so approvals and answers happen where people are.
Learn more →See it on your own data
We start with an MVP on your screens, devices or tickets. Request an MVP and bring a real use case.
Request MVP