We are building frontier models for the semantic layer—systems that learn your data, your decisions, and your language to orchestrate enterprise knowledge with conversational intent.
Quietly collaborating with select design partners
/context deploys language-native models that align your knowledge graph, metrics, and workflows without brittle middleware.
Orchestrate metrics, docs, and schemas as a single semantic fabric
Compose multi-hop reasoning agents tuned to your domain
Deploy frontier models with enterprise guardrails
Link natural language intents to production actions
Derive lineage, provenance, and trust signals automatically
Deliver realtime copilots that speak your institutional language
Shadow your existing stack to map entities, events, and policies
Train frontier semantic models that internalize context securely
Activate language-native copilots across analytics and ops
We work with a limited number of partners. Each tier includes bespoke model deployment, on-prem options, and dedicated research alignment.
Align on objectives and scope your semantic layer
Executive workshop on knowledge architecture
Systems audit for data, metrics, and governance
Risk and compliance assessment
Early access to /context research drops
Dedicated partner channel
Deploy the semantic layer into live production workflows
Dedicated frontier model training run
Semantic query plane across BI and ops
Human-in-the-loop oversight console
Secure deployment in your cloud or ours
On-call applied research partner
Co-develop new frontier capabilities with our research team
Joint R&D roadmap and model customization
Private deployments with sovereign control
Advanced safety, alignment, and eval suites
Red-teaming and assurance services
Strategic briefings with founders
What our partners are saying as they deploy /context across their organizations.
We're building quietly, but here are answers to the questions we hear most often.
Share your data landscape and objectives. We’ll design a language-native layer tailored to your organization.