Systems
Production infrastructure we built and operate. Every system includes real metrics, architecture details, and links to evidence.
ConstantSense Edge AI
10 AI models that run on phones, wearables, and $12 sensors — no cloud, no subscriptions. Heart screening, fall detection, industrial monitoring, document classification, and more. Each one tested on ~100 real devices.
Problem: Most AI requires the cloud. That means latency, subscriptions, privacy risk, and no offline capability. These models run entirely on your hardware.
AURE Sovereign AI
A private AI assistant that runs on a single desktop machine. Ask it questions about your documents, your data, your business — nothing leaves your building. Smarter than what most companies pay $50K/year in API fees for.
Problem: Every time you use ChatGPT or Claude through the cloud, your data goes to someone else’s server. AURE runs on your desk. Your queries stay yours.
FinSense Financial Sentiment
A headline hits and this model tells you if it’s bullish, bearish, or neutral before you finish reading it. Runs on a phone. Works in English, Spanish, Chinese, and Japanese. No API call, no one sees your queries.
Problem: Bloomberg charges $25K/year. Cloud sentiment APIs see everything you search. FinSense runs on your device for a fraction of the cost and keeps your research private.
AURE Provenance
How do you know the model you downloaded is the model we trained? Every model we ship is cryptographically signed. You can verify it hasn’t been tampered with — by us, by a CDN, by anyone in between.
Problem: You download an AI model and trust it blindly. No one checks if it was modified in transit. That’s a problem when the model is making medical or financial decisions.
Constant Framework
504+ mathematical theorems that a computer checked, not a human. When software correctness matters — medical devices, financial logic, safety systems — tests aren’t enough. We prove it’s right.
Problem: Most software is tested, not proven. Tests check some inputs. Proofs check all inputs. For systems where a bug can hurt someone, that difference matters.
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