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 every level — user, team, enterprise. 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 training controls — who can teach the system, 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 | ✓ | ✓ | ✓ |
| Per-user encryption | ✓ | ✓ | ✓ |
| 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.
Frequently asked questions
How long does it take to get approved?
Most applications are reviewed within 48 hours. If your application aligns with what grāmatr does today, you will hear back quickly.
Is there a free trial?
grāmatr is bootstrapped — every user costs real compute. Early access members get founding-member pricing that reflects the value of shaping the product early. We would rather have 100 committed users than 10,000 casual sign-ups.
What happens to my data?
It stays yours. Always. Encrypted per-user with database-level row isolation. Privacy is the foundation we built first, not a feature we plan to add later.
How is this different from AI memory tools?
Memory tools store what you said and retrieve it later. That is a filing cabinet. grāmatr pre-classifies every request across seven dimensions, routes it intelligently, retrieves only what matters, and learns from every interaction to get better over time. It is not memory — it is intelligence.
Does it work with my existing AI tools?
Yes. grāmatr works across Claude, ChatGPT, Gemini, VS Code, Cursor, and every MCP-native tool — desktop and mobile. One intelligence layer, every tool, one unified experience.
Why isn't pricing public?
grāmatr is in private beta with limited capacity. Pricing is shared upon approval because we want to understand your use case first — what you need determines which tier fits, and founding members receive pricing that reflects the value of shaping the product early.
What about enterprise?
Enterprise is scoped to your organization's scale, compliance requirements, and deployment needs. Talk to us — we scope it together.