Codified business
- ERP · CRM · billing
- Claims · contracts · policies
- MDM · workflow · audit trails
Decades of investment. Clean. Governed. Mostly invisible to LLMs.
Architecture
Two control planes, one trust contract. Content is certified before agents see it. Agent actions are governed before they ship.
Where Business Logic Meets Human Context
LLMs are good at language. Enterprises run on logic. Both have to meet — and the meeting needs a trust score before any agent can act.
Fusion + trust score
Powered by CQM™
What nobody else builds.
Human context
- Tickets · email · chat
- Contracts (text) · case notes
- Transcripts · PDFs · forms
Voluminous. Situational. What LLMs reach for first.
DATA PRODUCT STUDIO
Built on the medallion architecture — Bronze, Silver, Gold, and our decision-grade Platinum tier. You certify to the use case, not the whole library: generative tasks run on Bronze; autonomous agent actions need Platinum. Validators behind each promotion stay behind the demo wall.
CARBON-AWARE BY DESIGN
Every token your AI burns has a carbon cost. We make it visible. World-first carbon-aware AI control plane — patent-filed methodology, aligned to UN SDG 13, GHG Protocol Scope 2/3, and TCFD disclosures.
The Anatom Architecture
Two planes, one quality gate — powered by CQM™ (Content Quality Management).
Multi-tier certificationDeterministic enforcementSigned audit trailTier-bound autonomy
What the Gate Actually Checks
Five verifications run on the data before any agent acts. Each catches a class of failure that a regular agent gateway would let through.
Quality
Stale, vague, low-signal content blocked before it reaches the LLM.
Provenance
No source chain — not eligible for autonomous action.
Supersession
Retired policies still being cited — flagged before agents quote them.
Identity
Wrong-customer attribution caught before the agent answers.
Sensitivity
Regulated content never leaks into customer-facing responses.
Why a Gateway, Not a Sidecar
Data quality has to be enforced where the agent action and the data meet. Anywhere else, it's advice the agent can ignore.
DQ scores live in a dashboard
Quality information has no path to runtime enforcement. Advisory, not enforced.
The agent decides what is good
Each agent invents its own quality rules. No shared contract. No regulator-defensible audit.
Sees the call, not the data
Gateway approves the agent's request. Retrieval returns whatever the vector store has. Quality never enters the decision.
Sees agent intent and scores the data
One transaction. One audit trail. The only place the contract can be enforced.
Compliance by Architecture
Built for regulated industries. The gate maps directly to the controls regulators expect.
- Technical control enforcement at runtime
- End-to-end traceability per agent action
- Operational resilience
- Change-management discipline
- PHI sensitivity gating
- Designated security & privacy officer attribution
- Audit trail per access
- Minimum-necessary use
- Governance standards for consumer data
- Risk-based asset inventory
- Continuous monitoring
- Designated security officer
- Explicit consent capture
- Data subject rights handling
- "Right to be forgotten" mechanisms
- Data residency compliance
Carbon-Aware by Design
Every token your AI burns has a carbon cost. Anatom makes it visible — and enforces against it at the gate, not in a downstream dashboard.
DUAL ΔCO₂ TELEMETRY
Predict emissions before retrieval. Measure savings after execution. Plan and prove, every call.
EMISSIONS-AWARE SUPPRESSION
Low-utility, high-emission content is deprioritized at runtime. The gate factors carbon into every decision.
ESG-ALIGNED REPORTING
Aligned to UN SDG 13, GHG Protocol Scope 2/3, and TCFD disclosures. Audit-ready emissions accounting.
Deployment Options
Private VPC / Hybrid
Deploy within your cloud boundary for full control.
Managed Runtime
Operate as a managed layer without changing your stack.
Works with existing LLMs and vector stores. No model changes required.