About theorem.agency
We Build AI Platforms
You Own
Not rent. Not license. Own.
Our Story
theorem.agency exists because we got tired of watching the same pattern repeat.
We've spent years in the trenches—building infrastructure, deploying AI systems, watching organizations make decisions about their technology stack. And we kept seeing the same thing: companies that wanted strategic control over their AI capabilities but felt trapped between bad options.
Option one: rent capabilities from SaaS vendors. Fast to start, but you're locked into their data handling, their pricing trajectory, their roadmap priorities. When the vendor pivots or the economics change, you're stuck.
Option two: build everything internally. Full control, but 12-18 months to production if you're lucky. Your best engineers diverted from product work. Learning curves that never seem to flatten. Prompt quality issues nobody knows how to fix systematically.
Option three: hire a big consultancy. Enterprise credibility, but they're incentivized to keep you dependent. Proprietary accelerators that only they understand. Handovers that never quite complete. Billable hours that never quite end.
None of these options deliver what companies actually need: strategic AI capabilities they control, built fast enough to matter, without creating new dependencies.
That's the gap theorem.agency fills.
We combine deep infrastructure expertise with rigorous prompt engineering to build production-grade AI platforms—then hand you everything. The source code. The infrastructure templates. The prompt libraries. The documentation. The training to run it independently.
Our success metric isn't billable hours. It's whether you need us anymore.
What We Believe
Our core principles guide every engagement and shape how we work with clients.
Ownership Over Dependency
Every line of code, every prompt, every piece of documentation—it's yours. We don't build on proprietary accelerators. We don't create architectures that only we can maintain. The work product belongs to you. We succeed when you don't need us anymore.
Quality Over Speed (But Also Speed)
We ship fast—typically 8-12 weeks from discovery to production. But we never trade reliability for velocity. Agents that hallucinate in production aren't MVPs. They're liabilities. We build evaluation frameworks from day one and test edge cases, not just happy paths.
Open Source First
No proprietary accelerators. No vendor lock-in. No architectures that only work in one cloud. We build on proven open-source tools—LangChain, CrewAI, Kubernetes, Terraform, PostgreSQL—and hand you a stack you can understand, modify, and run anywhere.
Prompt Engineering Is Core
The infrastructure is the easy part. The hard part is the prompts, reasoning patterns, safety guardrails, and evaluation frameworks. We treat prompt engineering as a core competency, built into our delivery from day one, with training so your team can evolve them independently.
Who We Work With
Our clients share a common profile: they're technically sophisticated enough to know what they want, but practical enough to know they don't have to build everything themselves.
Series B-D Startups
Building AI into their product, who want to own their competitive advantage rather than depend on third-party APIs for core capabilities.
Mid-Market Tech Companies
With internal platforms to build, who need to move faster than internal teams alone can manage without sacrificing quality or accumulating technical debt.
Enterprise Innovation Teams
Who've been through cloud lock-in before and aren't interested in repeating the pattern with AI. Who need to satisfy security and compliance requirements without turning every project into an 18-month slog.
Agencies & Consultancies
Expanding into AI services, who need a reusable platform foundation they can leverage across multiple clients without building from scratch each time.
How We Work
We're not a body shop. We don't do time-and-materials. We don't optimize for scope creep. Every engagement follows a structured process designed to deliver working AI agents—not slide decks or discovery phases that never end.
Discovery & Design (2-3 weeks)
We identify your highest-impact use cases, map data flows and integration points, define success metrics. You get an architecture blueprint and prompt strategy before we write code.
Build & Engineer (6-10 weeks)
Infrastructure deployment, agent orchestration, and deep prompt engineering. We build, test, and iterate until your agents meet quality gates—not generic benchmarks, but criteria we define together based on your actual requirements.
Harden & Hand Over (2-4 weeks)
Security hardening, evaluation frameworks, documentation, and training. Your team learns to operate, optimize, and extend the platform independently.
Optional Advisory (Ongoing)
Monthly or quarterly optimization cycles for teams that want ongoing support. Prompt A/B testing, failure analysis, capability expansion. No lock-in—available when you need us, terminable when you don't.
What We Don't Do
We're not a fit for everyone, and we'd rather be clear about that upfront.
We don't do endless discovery
If you're looking for a consultancy to spend six months mapping your AI landscape and producing strategy documents, that's not us. We're here to build.
We don't do managed services
We build it, hand it over, and help you learn to run it. We don't want to operate your platform long-term—and you shouldn't want us to.
We don't compete on price
If you're looking for the cheapest option, we're not it. We compete on time-to-value, quality, and the total cost of ownership over years—not just the initial engagement.
We don't do work we don't believe in
If we don't think we can deliver what you need, we'll tell you. Sometimes that means recommending a different approach entirely. We'd rather have honest conversations than take projects we're not confident about.
The Team
We're engineers who've built AI systems at scale. We've seen what works in production and what fails. We've made the mistakes that inform our process.
We stay deep in the open-source ecosystem—contributing to communities, tracking framework evolution, understanding where the technology is heading. Not because thought leadership looks good on LinkedIn, but because it's how we stay effective.
We're intentionally small. Boutique by design. We'd rather do fewer projects well than more projects adequately. Every engagement gets senior attention.
Let's Talk
If you're evaluating how to build AI capabilities your organization can actually own and operate, we'd like to hear about your situation. Not a sales call. A conversation about what you're trying to accomplish, what's getting in the way, and whether our approach might help.