Discuss a technical challenge
For researchers, engineering teams and organisations. A few sentences is enough: what you are trying to find out, and what decision depends on it.
Or write directly to warren@omegaprotocol.org
Warren Smith, founder and independent researcher. OMEGA is currently led by me alone. AI agents in the system do much of the implementation and checking.
Research and engineering work. Not regulated certification, an accredited audit, investment advice or a guarantee of performance.
What you can bring, and what comes back
You don’t need to know how to investigate it. Working that out is the job: the question comes first, and the method is chosen to fit it.
You might bring
- a result you don’t trust
- a model or algorithm that behaves strangely
- two approaches you can’t choose between
- an expensive experiment you want to de-risk first
- an AI system you’re not sure you can rely on
- a technical claim that needs an independent check
- an important question nobody knows how to test
The answer can be
- Yes
- It holds, and you are told exactly under what conditions. A spending limit was proved to hold in every state a protocol model can reach.
- No
- It does not, with the evidence and a way to reproduce it. A battery model gained 2.44% of its lithium.
- A better approach
- The question was right, but the method, model or experiment should change, and you get the evidence for the alternative.
- The evidence is not enough
- What is missing, and what would settle it. A power-grid solver’s results looked reasonable, but with no second, independent solver to compare against, “plausible” was as far as the evidence went.
Whichever it is, you receive
- the answer, and what it means for your decision
- the evidence, and exactly what was tested
- the code, data and, where possible, a check you can re-run
Every finding says exactly what was tested and what the result does, and does not, establish.
Three ways to work with OMEGA
Open investigation
You have an important technical question and don’t yet know what kind of work would answer it.
Bring it as it is. Working out what would answer it is part of the job.
Claim Check
You have one specific claim a decision depends on, such as “the paper’s result reproduces from the released code”.
I check that one claim independently and return Holds, Fails or Can’t tell yet, for a fixed fee agreed in advance.
Agent qualification
You need to know whether a particular AI setup can reliably do a particular job before you rely on it.
I test that exact setup on realistic and deliberately difficult tasks. The result never says “this agent is safe”: it says what worked, what failed and where a person must stay in the loop.
Related public work, not client work: an AI agent’s tool server passed 66 of 66 tests and its own replay check said VERIFIED, while it wrote 100,000 bytes where it was allowed 4,096. The finding
How an investigation runs
- Pin down the question. Precisely enough that the answer could come out either way.
- Decide what evidence would actually answer it. Agreed with you before anything runs.
- Find the cheapest test that would settle it. An experiment, a calculation, a simulation or a proof.
- Run it, then try to prove the conclusion wrong. Other explanations, cases where it should break, and checks shown to catch a planted mistake.
- Report what survived. What held, what failed and what is still unknown.
The tool is chosen last. AI can propose an answer; only the experiment shows what the evidence supports.
OMEGA starts from your question and uses whatever can answer it, rather than selling one technology: a simulation, a controlled experiment, a mathematical proof, or a program tested with thousands of generated inputs.
Fields
Some questions ask whether something works as claimed; others ask which way to go before an expensive step. Choose a field to see example questions, and the completed public work in it where it exists:
- Biotechnology & drug discovery
Fix submitted, not yet merged. Chemprop case study.
- Diagnostics & health technology
Fix submitted, not yet merged. TorchIO case study.
- Sensors & instrumentation
Fix submitted, not yet merged. QCoDeS case study.
- Materials & manufacturing
Public investigation posted, awaiting maintainer response. pymatgen scope comment. No fix has been submitted yet.
- AI & autonomous systems
Completed public work
- Scientific computing & software
Completed public work
- Quantum computing
Proposed investigations only
- Climate, agriculture & energy
Completed public work
Explore questionsEach example is a proposed investigation, never a past client.
Where the work runs
Experiments run on local workstations and, for one approved research project so far, on a EuroHPC supercomputer. Institutional allocations like that belong to named research projects and are restricted to them: they are not offered to clients or used for client work.
Who you reach
Warren Smith
Founder and independent researcher, OMEGA
I work on scientific simulations and software, on testing AI systems, and on mathematical proofs that software does what it should. The connecting idea is simple: turn difficult technical uncertainty into something that can actually be tested.
OMEGA is currently led by me alone. There is no account manager and no handoff: the person who reads your question is the person who designs and runs the investigation. Where a question needs domain expertise I don’t have, I say so in the first reply.
Research on agents that each pass their own checks while together breaching a shared limit has been accepted as a briefing and poster at AMLUCS 2026 and as a research poster at the IDAI Workshop on Multi-Agent Safety and Security 2026.
Presentations & postersFixes and reports in other people’s softwarePublic code on GitHubResearch archive