Enterprise Brain

AI agents that know your business. And can prove it.

AutoSemantica connects your enterprise context into one governed intelligence layer — so every answer is right, and every decision can be signed off by a regulator, an auditor, or a risk committee.

Right answers you can sign off on
See the Demo → How It Works ↓
The Problem

Enterprise AI fails twice

01
Wrong answers

Your AI agents don't know what "churn" means in your business. They can't tell that two differently-spelled names are the same customer. They miss the rule your best analyst carries in her head. The context that makes answers right is scattered across dozens of internal systems — and the agents can't see it.

02
Indefensible decisions

Even when the answer happens to be right, there is no evidence trail. No record of which data was used, which rules were applied, or who approved what. An agent that cannot show its work cannot be signed off by a regulator, an auditor, or a risk committee. So it never reaches production.

The Solution

One governed intelligence layer

The Enterprise Brain connects the context scattered across your organization — inside your own walls — and turns it into answers and decisions you can defend.

Governance Context — controls, constrains & proves
Enterprise
Brain
Domain Context
What the business knows & the rules it follows
Data Context
What facts exist & how they're structured
Technical Context
How things are built
Operational Context
How things actually run day to day

Domain, Data and Technical context are knowledge at rest. Operational context is knowledge in motion. Governance is the control plane that cuts across all four.

Explore the full Context Model →
Governance is Architecture

Every answer stands on four pillars

Meaning

The Brain speaks your domain language. "Beneficial ownership," "medical necessity," "churn" — resolved to your definitions, not the model's guess.

Process

Every decision follows your rules and workflows — thresholds, escalation paths, approval authority. Not the model's best judgment.

Evidence

Every answer cites its sources — the actual records, documents, and systems it drew from, down to the highlighted passage.

Record

Every decision is logged with a trace ID, timestamp, and evidence chain. Immutable, auditable, and ready for a regulator.

See It Think

Real situations. Governed answers.

Watch the Brain think — pick a situation and follow it step by step. Every wire is real knowledge pulled from a real system.

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Two Ways to Work

Ask it. Or let it run.

Ask the Brain

Your people ask questions in plain language. The Brain answers with evidence from your own systems — sources cited, meaning resolved, decision recorded.

Is entity Meridian Holdings a sanctions risk?
Meaning
Answer
Evidence
SRC-01 SRC-02
Gov
Autonomous Workflows

The Brain runs multi-step processes end to end — gathering evidence, applying your rules, pausing at human checkpoints, and producing outputs a compliance officer can sign.

Gather evidence
12 sources · complete
Apply rules
8 policies · complete
Draft SAR narrative
in progress…
Human checkpoint
Compliance officer sign-off required
Domain-Agnostic by Design

Same platform. Same governance. Any enterprise domain.

Financial crime, health plans, and engineering operations are worked examples — the Enterprise Brain applies wherever decisions must be defended.

Financial Crime Compliance
KYC · AML · Regulatory Reporting
Periodic KYC reviews with cross-jurisdictional ownership verification
SAR narratives generated with full evidence chains
Regulatory change impact mapped to your policies automatically
Health Plan Operations
Claims · Care Coordination · Utilization Review
Complex claim adjudication with clinical evidence and benefit cross-reference
Post-discharge care transitions that never miss a follow-up window
Utilization reviews benchmarked against HEDIS and peer plans
Technology & Data Operations
Engineering · Data Platform · Product
Coding agents that resolve your metrics and business rules, not just your syntax
Incident response that correlates deploys, resources, and data signals in seconds
Launch gates and data-quality investigations with full evidence chains
BUILT FOR REGULATED ENVIRONMENTS

Your data never leaves your environment

The entire Brain runs inside your trust boundary — your cloud, your datacenter, or fully air-gapped. Ingestion, transformation, storage, and model inference all happen within your walls.

Inside your boundary
One deployment in your VPC, on-prem, or air-gapped. Nothing is sent to an outside service.
Self-hosted inference
Your own GPUs run the models. No external model provider ever sees your data.
Meaning, not a second copy
The knowledge graph holds your definitions and the map of where data lives — your bulk records aren't duplicated into it.

AutoSemantica connects your internal systems within one enterprise — it does not move data across organizational or legal boundaries.

Structured data and documents — answered together

Most tools do one or the other: a chatbot over your documents, or a query engine over your tables. Real questions cross both. The Brain answers from your rows, your documents, your code, and your live systems — in one governed response.

ONE QUESTION

Did this applicant exit another account for suspicious activity — and does our policy require enhanced review?

Account records structured rows, queried in place
Exit & case history structured, across systems
Compliance policy unstructured document
Business glossary definitions & meaning
One governed answer — with the evidence from each source and an audit record.
Ask across tables and documents in one question
Every source cited, every answer traceable
No separate tools to stitch together
ONE GOVERNED LAYER

Build your Brain once. Every AI plugs into it.

AutoSemantica isn't another chatbot or agent — it's the governed context layer underneath them. Point your search, your copilots, and your autonomous agents at the same Brain, and they all inherit the same meaning, rules, and evidence.

Search & Ask
Employees ask questions in plain language and get answers with citations.
Copilots
Embed governed answers into the tools your teams already use.
Autonomous agents
Multi-step workflows that act, gated by your policies at every step.
Enterprise Brain
governed context layer

Same meaning. Same rules. Same evidence trail — no matter which AI is asking.

Connect via API or standard tool interfaces — no rebuild per use case.

It scales with your meaning, not your data volume

A large enterprise has billions of records — but only thousands of concepts that actually need governing. The Brain grows with the second number, not the first.

WHAT STAYS SMALL
Concepts, definitions, and rules
The map of where data lives
The relationships between things
Thousands of items — curated by people, versioned, owned.
WHAT SCALES SEPARATELY
Your rows, records, and transactions
Documents, code, and embeddings
Operational and telemetry data
Billions of items — stay in the stores built for them, referenced by the map.
Approve a definition once — and it governs every answer that touches it, across millions of records.

Because governance happens at the concept level, the work of running the Brain stays bounded even as your data grows.

See AutoSemantica in action

Pick a domain. Pick a role. Watch the Enterprise Brain work.

Financial Crime Compliance
KYC · AML · Regulatory Reporting
Explore →
Health Plan Operations
Claims · Care Coordination · Utilization Review
Explore →
Technology & Data Operations
Engineering · Data Platform · Product
Explore →