What would you build if your AI never forgot?
Private beta. Limited access. Real intelligence.
grāmatr℠ is foundational technology — the layer between you and every AI you use. It pre-classifies your intent across seven dimensions, retrieves the right context, learns from every interaction, and carries that intelligence across Claude, ChatGPT, Gemini, VS Code, Cursor, and every MCP-native tool. We review every application personally.
Three ways to use grāmatr
Every tier sits on the same intelligence engine: pre-classification, persistent knowledge graph, learning flywheel, and cross-platform routing. Encrypted at rest with row-level security. Your data is yours at every scale.
Individual
Your AI gets smarter every day.
Available upon approval
- Full intelligence pipeline — pre-classification, routing, and learning
- Persistent knowledge graph across sessions
- Cross-platform: Claude, ChatGPT, Gemini, VS Code, Cursor, mobile, web
- Behavioral guardrails — your rules persist and compound
- Pattern recognition that predicts what you need next
- 97% token reduction — better responses, lower costs
- Every interaction encrypted and isolated
Team
Shared intelligence that compounds — without shared secrets.
Available upon approval
- Everything in Individual
- Composable agents — build and share specialized AI workflows
- Full pattern library — 230+ reusable workflow patterns
- Shared team knowledge graph — conventions, decisions, and patterns persist
- Day-one onboarding — new hires' AI already knows how your team works
- Team-scoped guardrails — governance that applies to everyone's AI
- Admin controls — who sees what, what is shared vs. isolated
Enterprise
Foundational intelligence infrastructure for your organization.
Let's Talk
- Everything in Team
- Hierarchical governance — system, org, team, user, project scoping
- Cross-LLM policy enforcement — same rules across every AI tool
- Row-level security at scale — cryptographic isolation between teams
- Tiered governance controls — who controls what propagates, at what level
- Audit trails and compliance readiness
- SSO / SAML integration Roadmap
- On-premises / private deployment Roadmap
- Data residency controls Roadmap
What you get at every tier
| Feature | Individual | Team | Enterprise |
|---|---|---|---|
| Pre-classification and intelligent routing | ✓ | ✓ | ✓ |
| Persistent knowledge graph | ✓ | ✓ | ✓ |
| Learning flywheel | ✓ | ✓ | ✓ |
| Cross-platform (Claude, ChatGPT, Gemini, VS Code, Cursor) | ✓ | ✓ | ✓ |
| Behavioral guardrails | ✓ | ✓ | ✓ |
| Pattern recognition | ✓ | ✓ | ✓ |
| Session continuity and handoffs | ✓ | ✓ | ✓ |
| Encrypted at rest with row-level security | ✓ | ✓ | ✓ |
| Composable agents | — | ✓ | ✓ |
| Full pattern library (230+) | — | ✓ | ✓ |
| Shared team knowledge graph | — | ✓ | ✓ |
| Team-scoped guardrails | — | ✓ | ✓ |
| Admin controls | — | ✓ | ✓ |
| Hierarchical governance | — | — | ✓ |
| Cross-LLM policy enforcement | — | — | ✓ |
| Row-level security at scale | — | — | ✓ |
| Audit trails | — | — | ✓ |
| SSO / SAML integration | — | — | Roadmap |
| On-premises / private deployment | — | — | Roadmap |
| Data residency controls | — | — | Roadmap |
Request early access
This is an application, not a sign-up form. Every request is reviewed individually. We are looking for practitioners who use AI seriously and want it to get better over time.
Request AccessWhat's coming
grāmatr is in active development. No dates we cannot guarantee. No promises we cannot keep. Just direction.
Now
Full intelligence pipeline in production. Pre-classification, knowledge graph, learning flywheel, cross-platform routing — built over 3.5 years of real-world use, not in a sprint.
Next
Team intelligence layer. Shared knowledge graphs, composable agents, team-scoped guardrails, admin controls.
After that
Enterprise governance. Hierarchical scoping, cross-LLM policy enforcement, audit trails — with SSO, on-prem deployment, and data residency on the roadmap. Need enterprise features now? Talk to us.