OptimaTech Labs

OptimaTech Labs · engineering journal

Inside the Lab

Real systems. Real experiments. What happened when we built them.

Less whitepaper, more wrench.

We’re a small engineering lab in Rhode Island. We work on artificial intelligence, autonomous systems, simulations, cryptographic verification, and the occasional thing that doesn’t fit neatly into any category.

We don’t always know whether an idea will become a product. That’s part of the point. Inside the Lab is where we open up the work: the architectures, the experiments, the data, the decisions, the unexpected results, and the things we had to rebuild because the first approach didn’t work.

We show the actual technology wherever we can: working demonstrations, measured results, the hardware it ran on, and the limits that matter. No imaginary roadmaps presented as accomplishments. No performance numbers without context. No pretending an experiment succeeded when it didn’t.

Built here. Tested here. Explained here.

Lab log

  1. Scrapped Agent Desk before release, for bigger and better things. WORLDSTATE takes its place. WORLDSTATE
  2. Agent Desk: the dashboard we run 200+ agent-built products from. Agents propose, a human decides. Field note 010
  3. Fixed the long-run fault: noise was piling up in the unused half of each encrypted number. Training now runs clean past the step that used to break. The fix
  4. Trained an AI model on encrypted data its host never saw: 242 steps on one GPU. Field note 008
  5. Moved encrypted training from CPU to GPU: about 12x faster per step. The numbers
  6. Caught a fault on our GPU encryption path during a long run and traced it to one operation. The fix comes before bigger runs. What it was
  7. Countersign: a pre-funding invoice check for lenders, in development. Countersign
  8. Kicker’s decision model went to production. Optima Prime signs every batch of hands. Field note 001
  9. Kicker Live: six characters play cards at watching speed. Watch it
  10. THREADPULL: an AI investigator that has to show its evidence. Try the demo

The field notes

  1. 010 · Agent DeskManagement of ScaleScrappedMore than 200 products built by agents since May, and the one screen where agents propose and a human decides.
  2. 009 · The Conflict LedgerA Forecaster That Has to Show Its WorkPublishedCheckable questions, linked sources, officials’ claims judged against the record, and a public score against prediction markets.
  3. 008 · Private ModelNot Us. Not Our Servers. Not Even the Model.PublishedTraining an AI on encrypted data its host never sees: post-quantum encryption, a GPU, and the controls.
  4. 001 · KickerWe Taught a Small AI Model to Play a Character, Using 120 Million Simulated HandsPublishedSimulation, synthetic data, fine-tuning, WebAssembly, replay and signed records.
  5. 002 · Optima PrimeWhat If Every AI Answer Came With a Receipt?ComingSigned inference, model fingerprints, audit trails and replay.
  6. 003 · THREADPULLWe Built an AI Investigator That Has to Show Its EvidenceComingSaved sources, exact quotations, contradictions and gaps.
  7. 004 · Synthros and NonplayerWhat Happens When AI Characters Have Lives Outside the Conversation?ComingMemories, motivations, autonomous behaviour and simulated populations.
  8. 005 · Optima PrimeWe Taught a Small AI Model to Know When It Doesn’t KnowComingHuman corrections, retraining and off-topic refusals.
  9. 006 · TerritrixFinding Gambling Operators That Don’t Want to Be FoundComingDomain discovery, game identification and evidence for regulators.
  10. 007 · feel-smart-llmWe Built a Transformer in NumPy to Understand Every Moving PartComingModel internals, hand-built backpropagation and a browser demonstration.

Scrapped

Projects we stopped. Their pages stay up as the record.

  1. 23 Oct 2026Agent DeskScrappedA dashboard for teams of AI agents: they propose, you approve. Never released. We moved on to bigger and better things: WORLDSTATE. Field note 010