Thyn companies focus on domains where intelligence must reason, simulate, execute, and verify under real constraints.
The portfolio is organized around six system loops: autonomous operations, markets, cryptographic trust, code intelligence, memory, and growth.
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Agent runtime, workflows, memory, simulations, tools, and governed execution for operational intelligence.
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Market simulation, execution strategies, portfolio intelligence, risk, and quantitative decisioning.
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Verification, replay, signatures, digital assets, self-hosted workflows, and trust infrastructure.
Coming Soon
Repository intelligence for coding agents: maps your whole codebase in milliseconds, for zero tokens, then delivers exact context.
Coming Soon
On-device memory engine for AI agents — turns filtered vector search into a single contiguous scan for millisecond recall, with zero cloud round-trips and data that never leaves the machine.
Coming Soon
Autonomous growth systems for campaigns, creative production, attribution, experiments, and optimization.
Sense operational state → plan → execute workflow → evaluate outcome.
Memory, tools, policy, traces, evals.
Observe market → simulate outcomes → route execution → measure risk.
Simulation, latency budgets, policies, replay.
Authorize action → verify state → execute → prove history.
Cryptographic checks, audit logs, deterministic replay.
Map repository → understand structure → retrieve exact context → guide the agent.
Code graph, retrieval, context windows, traces.
Ingest context → index on-device → recall in a single scan → ground the agent.
Vector memory, single-scan recall, latency budgets, on-device store.
Generate hypothesis → launch experiment → attribute signal → optimize spend.
Experiment loops, policy, simulation, content systems.
Run closer. Move faster. Keep control. Verify the loop.