Now in private beta
The Trust Layer Between AI Agents & Enterprise Data
A deterministic cage around probabilistic intelligence. Every query validated. Every action enforced.
99%+
NLQ Accuracy
On enterprise databases
<1ms
Verified Query
Sub-millisecond deterministic
2,300+
Certified Patterns
Zero LLM for known questions
Fail-Closed
Architecture
Abstains instead of hallucinating
The Problem
Your AI agents are guessing what "revenue" means. Every. Single. Time.
Made Up Answers
AI makes up wrong answers when it looks at raw, messy databases.
Slow Setup
Data teams spend months writing rules from scratch for every new tool.
Ignored Rules
Safety rules are stuck in manuals, so AI agents can easily break them.
One Platform. Two Enforcement Planes.
Every AI interaction is either reading data or taking action. Pramiti Labs governs both.
Context Plane
Epistom
"What does this data mean?"
Give AI agents hallucination-free understanding of your enterprise data before any query runs.
Explore Epistom →Control Plane
Aegis
"Is this action safe?"
Intercept, validate, and enforce every agent action before it executes — even if the agent is compromised.
Explore Aegis →Context Plane
Epistom
✓
Virtual Knowledge Graph
OWL 2 QL ontology maps business concepts to database schemas.
✓
NLQ to SQL Pipeline
14-stage pipeline. 11 deterministic stages. 99%+ accuracy.
✓
2,300+ Verified Queries
Certified SQL patterns. Zero LLM needed for known questions.
✓
SQL Validation Gate
Every table and column checked against live schema before execution.
✓
Semantic Drift Detection
Schema changes auto-degrade AI confidence scores.
✓
Calibrated Abstention
Says 'I don't know' instead of hallucinating.
✓
Multi-Turn Conversations
Entity tracking and pronoun resolution across a session.
✓
Self-Correcting Queries
Auto-retry on SQL errors with semantic anomaly detection.
Control Plane
Aegis
✓
Policy Decision Point
ALLOW / DENY / REWRITE / WARN on every agent action. Fail-closed.
✓
JSON Predicate Engine
10 operators, compound rules, glob matching, 60s cache.
✓
Formal SHACL Constraints
Business rules as formally verifiable graph shapes.
✓
Action Rewrite Engine
Cap values, mask fields, set defaults before execution.
✓
Signed Attestation Store
HMAC-SHA256 signed. Append-only audit trail.
✓
Identity Adapter
AWS IAM, Azure MSI, and SPIFFE/SVID workload identity.
✓
FinOps Token Gating
Hard cost ceilings per agent, per workspace, per month.
✓
SDK Wrappers
Drop-in for LangGraph, AutoGen, and CrewAI.
Setup
Connect in Minutes. Govern Forever.
1
Connect
Securely link your databases — Snowflake, Postgres, MongoDB, and more.
2
Understand
Epistom introspects your schema and proposes Object Types automatically.
3
Publish
Approve your Knowledge Model. MCP endpoint goes live instantly.
4
Query & Guard
Agents get verified answers. Aegis enforces every action. You get the audit trail.
Pricing
Start free. Scale as your AI agents grow.
Free tier for exploration · Growth at $2,500/mo · Enterprise custom
See full pricing →Frequently Asked Questions
How is Epistom different from a vector database?
Vector databases retrieve similar documents. Epistom validates meaning — it knows that 'revenue' means net paid invoices only, not gross orders. It blocks hallucinated columns before SQL runs.
Does Aegis work if our AI model is compromised?
Yes. Aegis is deterministic and external to the model. Even if prompt injection manipulates the model, Aegis evaluates every proposed action against your policies independently.
Can I use my own AI model?
Yes. Epistom is model-agnostic. Claude is the default but you can configure GPT, Gemini, Llama, or any local model via the LLM_PROVIDER environment variable.
How long does onboarding take?
Connect a database in minutes. The auto-discovery agent proposes Object Types automatically. A typical SaaS schema is approved and live in under a day.
Ready to make your AI safe?
Choose your path.