The Theorem

Every company starts with a hypothesis.

Ours is that the next decade of value won't be built on chatbots or simple tech upgrades or digital enablement, but on rigorous, verifiable autonomous systems. We are currently in the laboratory phase, refining the logic and infrastructure that will bridge the gap between theoretical AI potential and enterprise reality.

To win in this space, our team must do more than just build. They must understand the intricate mechanics of the enterprise, navigate complex business landscapes, and partner directly with customers to successfully deploy our solutions into their existing environments.

We thrive on validation over speculation, and we need partners who can translate abstract AI potential into measurable, real-world business outcomes.

"If you possess both the technical ambition to build the future and the domain grit to make it work in the enterprise, you belong here."

Life in The Proving Ground

A lean, elite team.
No hierarchy. Only rigour.

We value intellectual rigour, rapid iteration, and the courage to test bold theorems against real-world data. We are not currently scaling a traditional workforce — we are curating three kinds of builders.

Architects

Build the core intelligence. Design the orchestration systems, the reasoning engines, and the kernel abstractions that make Theoremic's platform operate at enterprise scale.

Core engineering

Researchers

Advance the science. Push the boundaries of agentic reasoning, multi-modal inference, and enterprise-grade explainability. Turn frontier AI research into production-grade logic.

Applied research

Product Specialists

Possess deep business domain expertise. Bridge the gap between technical capability and enterprise reality — working directly with customers to deploy, iterate, and prove value.

Domain & product

"We are in the laboratory phase — refining the logic and infrastructure that will define the next era of enterprise."

The Theoremic Founding Thesis

Start a conversation

We don't post job listings.
We find exceptional builders.

While we do not have active listings today, we are always open to meeting exceptional people. We are specifically interested in those with deep expertise in these four domains.

Agentic AI

Agentic workflows & reasoning

Designing autonomous agents that don't just predict, but act. You have built systems that own end-to-end workflows — not demos, not prototypes, but production logic running at scale.

Procurement & Supply Chain

Strategic procurement & supply chain

Deep domain veterans who understand the nuance, friction, and logic of enterprise spending. You know where the leakage hides and what it costs to leave it unmanaged.

Infrastructure

High-scale enterprise infrastructure

Building the Substrate — the mission-critical, high-availability systems required to run autonomous logic across complex enterprise environments without failure.

Applied ML

Applied ML & inference optimisation

Deploying the frontier of machine learning into real-world production environments. You understand the gap between benchmark performance and enterprise-grade reliability.

Share your
Theorem.

If your work aligns with our mission, we'd love to hear what you're currently building and where you see the frontier moving.

We ask three questions — not to screen, but to understand how you think. We respond to every submission personally.

What to expect:

A member of the founding team reviews every submission and responds within 5 business days — either to start a conversation or to keep you in mind for when the right moment arrives.

Your theorem — share it with us

01  ·  The Evidence

What is a complex system or domain problem you have successfully proved or solved in the real world?

02  ·  The Theorem

Where do you see the biggest untapped opportunity for autonomous logic in the enterprise — specifically within procurement?

03  ·  The Connection

Why is Theoremic the right proving ground for your specific expertise?

We read every submission. No recruiters, no auto-responses — a founder will reply.