SignalBrain-OS is the universal governance layer that constrains AI agents to deterministic, cost-bounded execution. 15 patents. Live in production.
View Investor Deck →Multi-agent AI costs are exponential and unpredictable. LLM hallucinations cascade through agent chains. No one has solved deterministic governance — until now.
Agentic loops consume 10–100× expected tokens. A single chain can burn $200+ per task.
CFOs can't budget for AI when costs vary 50× between identical requests.
Agents calling agents calling LLMs. 10-second responses. Users leave.
SignalBrain-OS replaces probabilistic reasoning with O(1) mathematical structures. The "cage" constrains any AI agent to predictable cost, latency, and accuracy bounds.
5 query engines built in a single linear pass. Wavelet trees, RMQ, GUBO — all constant-time.
~50-line sentinels replace thousand-line LLM chains. Deterministic quality gates on every operation.
Entire compute graph lives in 96GB VRAM. Zero von Neumann bottleneck. Sub-100ms consensus.
Every signal encoded once through the Universal Signal Interface. Five constant-time query engines built simultaneously. Patent-protected.
| Engine | Query Type | Complexity | Patent |
|---|---|---|---|
| Radix-4 Wavelet Tree | Frequency / Rank | O(1) | Prov. B |
| RMQ Sparse Table | Max-Confidence Range | O(1) | Prov. A |
| Phi-Ladder (GUBO) | Nearest Neighbor | O(1) | Prov. A |
| Episodic Text Cache | Exact Recall | O(1) | Prov. A |
| FP16 Regime Similarity | Pattern Match | O(N×16) | Prov. C |
Every core algorithm is patent-protected. Competitors can't replicate the architecture without colliding with our IP portfolio.
28-slide deep dive into the technology, market, team, and financials.
Your email is kept confidential. We'll send a follow-up within 24 hours.