The Autonomous Workflow Network for Procurement
Theoremic is the autonomous intelligence layer that sits on top of the enterprise systems you already run — ERP, contract, or operational platforms alike. We unify fragmented data across contracts, invoices, finance, and operations and deploy AI agents that recover and create measurable value — auditing every contract against every invoice, enforcing policy at the point of spend, and turning each sourcing decision into a better one.
The Problem
Enterprises have spent millions upgrading their systems of record and tens of millions piloting AI on top of them. Yet negotiated value still leaks, quarter after quarter, because the record was never built to act on what it knows.
Most enterprise AI optimizes for how work looks — leaner, faster, more digital. Theoremic optimizes for where value is actually hidden, and unlocks it. We build rigorous, verifiable autonomous systems that reimagine the work itself.
“We are not helping enterprises experiment with AI. We are building the platform that makes AI deliver value by default.”The Founding Theorem
Live today — Powered by Theoremic Core
Claro and Portio run today, on top of enterprise systems companies already trust. They are built from the same “cognitive kernels” — our logic engines — and both do one thing legacy systems never could: turn buried, fragmented data into recovered and created value, continuously and auditably.
Recover the value you've already negotiated.
Claro connects sourcing to payables and gets every negotiated dollar in your contracts to show up in your P&L. It reads the contract, watches the invoice stream, and flags the variance the moment it appears — before it compounds into leakage you can't recover. Three cognitive kernels work as one engine:
Know your demurrage obligation before the invoice arrives.
For industrial companies running major shipping operations, demurrage is one of the largest hidden cost centers — fragmented across voyage data, terminal events, and charter-party PDFs that never reconcile. Portio surfaces every dollar of exposure in real time, computes the obligation against the contract, and triggers action before the dispute window closes. It connects multiple enterprise systems — like NAVARIK and SAP GOM — and your charter-party documents, and every calculated obligation traces back to the source event and the exact contract clause.
The Platform Advantage
A point tool finds overpayments. Another enforces policy. A third analyses sourcing. Each solves one problem while value leaks everywhere else — and each adds another standalone agent to manage. That's how the last two decades of automation ended: in sprawl no one could govern.
Theoremic is built differently. Every product — Claro, Portio, and everything after — is assembled from the same cognitive kernels on the same core. So as you deploy more of Theoremic, your architecture gets simpler, not more fragmented: one enterprise-grade layer, one security and compliance posture, one audit trail. And because procurement decisions move real money, auditability is a default, not a feature — every agent decision is traceable, explainable, and exportable for review.
Theoremic Core
Theoremic Core is the autonomous reasoning layer that sits above your existing enterprise systems — unifying fragmented data and orchestrating agent workflows across your environment. You bought the system of record. Theoremic Core makes it deliver the value it was always supposed to.
By “enterprise systems,” we mean the full range of systems of record carrying negotiated and operational value — ERP (SAP, Oracle, Workday), CLM, TMS/WMS, maritime and logistics platforms, and the legacy, custom, and best-of-breed systems in between.
Real-time ingestion and normalization of structured and unstructured data from enterprise systems — ERP, CLM, TMS, or otherwise. One unified view of your spend universe.
Specialized, reusable AI logic engines that are the atomic building blocks behind every Theoremic product.
Security-first architecture with complete audit trails. What Theoremic acts on automatically, and what it escalates to your team, is set to your policies, not ours. Human-in-the-loop controls ensure oversight over every agent decision that matters.
Standard enterprise APIs and Model Context Protocol (MCP). No migration risk, no long implementation cycles, no connectors to maintain.
Connects with
Want the deeper technical picture — kernels, orchestration, and governance, layer by layer?
Technical architecture brief →
Built for the leaders who own the value
Transform procurement from a process-execution function into a strategic partner to the business. Theoremic's agents run the core workflows — reconciliation, compliance, audit — so your team spends its time on category strategy and long-term value, not data entry.
Turn procurement from a cost center finance only sees after the fact into a continuously verifiable source of margin and cash — with numbers you can defend to the board and the auditors. Continuous, full-population assurance across every contract and invoice, with a traceable record behind every recovered dollar.
Procurement becomes a true value-add to your performance — measurable, sustainable impact on the goals you're accountable for, not a back-office process you wait on.
One platform, many entry points
For enterprises on SAP, Oracle, JDE and beyond
You already have a system of record. Theoremic deploys on top of it, one high-value workflow at a time, with seamless integration to your data and zero change to how your team works. Prove value in weeks, then expand.
For growing companies building procurement to scale
No legacy enterprise systems to work around? Theoremic's end-to-end source-to-pay engine runs the function as an autonomous system — humans supervising AI and focusing on the strategic decisions, AI handling the rest. This is what procurement looks like when it's reimagined from the ground up.
Same platform, same conviction: transform procurement one workflow at a time — or all of them at once.
The Autonomous Source-to-Pay Suite
Continuous contract-to-invoice auditing, compliant intake, and value creation across your spend universe.
Real-time demurrage exposure, computed against the charter party before the dispute window closes.
Monitors every auto-renewal and evergreen clause; calculates the renegotiation window before the renewal date decides for you.
Purpose-built for complex agreements — EPC, frameworks, multi-party. Generates role-specific intelligence for finance, engineering, HR, and legal from one document.
Unified sourcing intelligence, contract-to-project tracking, and contract standardization — sequenced based on where our pilot partners find the most value.
Every deployment adds a new cognitive kernel to the same core — what we build next is shaped by what our partners need most.
The Founding Theorem
Theoremic was built by practitioners who have seen both sides of the AI value gap — and built the platform to close it.
The Strategist
A former Partner at McKinsey & Company for 15 years, worked with 25+ organizations across 100+ AI and digital engagements — spanning strategy, transformation, and digital business building — for clients across six continents and 20+ countries. He helped found the Firm's digital practice and held a founding role in launching a new regional office. Across a decade and a half of engagements, he watched the same pattern repeat: enterprises investing heavily in AI, and rarely seeing it reach the P&L. Theoremic exists to close that gap.
Co-Founder — Chief Architect of Value
The Scientist
A PhD in Artificial Intelligence from the University of Wisconsin–Madison, with a research focus on machine learning, currently building enterprise-grade AI products for enterprise customers at a leading global technology company (Fortune 50). He brings that same rigor to Theoremic's cognitive kernels — because enterprise AI needs more than a capable model; it needs a precision-engineered orchestration layer built for explainability, auditability, and scale.
Co-Founder — Chief Architect of Systems
Q3 2026 Enterprise Pilot Cohort
Theoremic deploys as an autonomous workflow network on your existing stack — scoped first to a single high-value workflow, with success metrics agreed before we begin. When it works, you expand: broader scope, deeper integration, more of the suite. We're selecting a limited number of pilot partners this quarter and are open to outcome- and value-share arrangements, because we're confident in what this delivers.
Request a pilotPilot application
A member of our founding team will respond within 48 hours to discuss your specific challenges.
We review every application personally. Expect a reply from a founder, not a form.