A reasoning layer
above your systems of record.

It reads them in place — there is no vendor-side copy of your spend universe to secure, govern or exit — and it deploys into your own cloud environment.

Data Spine

On-demand reads across structured and unstructured data from ERP, CLM, P2P and the systems in between. One view of your spend universe, assembled without moving or replicating anything.

Cognitive Kernels

Reusable reasoning units that are the building blocks behind every product. Because every product is a configuration of the same kernels, each deployment makes your architecture simpler rather than more fragmented.

Policy Engine

Approvals, thresholds, delegation, and the per-category autonomy settings, expressed as executable policy rather than workflow diagrams. What we act on automatically and what we escalate is set to your policies, not ours.

Enterprise Guardrails

Every decision writes its inputs, reasoning, confidence and citation. Audit defense and continuous improvement in a single artifact.

Every suite vendor is consolidating customer data onto its own platform so its agents have somewhere to stand. We took the opposite bet: read in place, deploy into your account, and let the intelligence be what earns the renewal rather than the lock-in.

What makes this possible is a foundation built once and read by everything above it: your suppliers resolved as entities rather than records, your agreements held as evaluable obligations rather than documents, one taxonomy so that a line on an invoice and a line in an agreement are known to be the same thing, and a store where every decision keeps its reasoning.

Most "AI in procurement" efforts skip this layer. It is why they end as disconnected copilots — useful individually, ungovernable together.

Deployment

  • Deployed into your own cloud account, inside your own network. Per-tenant isolation; no shared data plane.
  • Reads on demand. There is no vendor-side copy of your spend universe to secure, govern or exit.
  • Source documents remain in your storage. We hold references, not files.
  • Your data is never used to train shared models.

Technical architecture

One core.
Every product a configuration.

Theoremic connects via standard enterprise APIs and Model Context Protocol (MCP). No rip-and-replace. No migration risk. No connectors for your team to maintain.

Products
Claro — Settlement Intelligence Portio — Demurrage Intelligence Cipher — Contract Intelligence Verum — Entitlement Verification Dormio — Renewal Intelligence Lumen — Project Commitment Forma — Standardization Unio — Sourcing Intelligence
Domain-specific agents, each composed of Cognitive Kernels
Theoremic Core
Data Spine Cognitive Kernels Policy Engine Enterprise Guardrails
The reasoning layer — assembling, evaluating, and writing the decision record
Integrations (MCP)
SAP Oracle Workday Coupa Ariba CLM / P2P Email / PDFs
Your existing stack, untouched — we read and act through standard APIs

How We Deploy

Four autonomy levels, per category

You set the pace. Assisted, supervised, delegated, or autonomous — reversible at any time, gated by evidence rather than ambition.

See how deployment works →

Security & Trust

Built on a foundation of trust

Encryption, per-tenant isolation, human-in-the-loop review, and a full audit trail on every decision — the foundation everything else is built on.

Read our security posture →

Ready to see the platform in depth?

Includes how Theoremic works with your existing integration layer, and where the line falls between what it moves and what we interpret.

Request the technical brief