Solutions
Built for workflows that demand control.
Each solution is a workflow, not just a model. One problem, one deployment pattern, one measurable outcome — on hardware you control.
Sort discovery in minutes, not weeks.
Problem
Law firms handle millions of documents in discovery, contract review, and compliance. Sending them to a cloud API violates client privilege. Manual sorting costs thousands of hours.
Workflow
Drop documents into LawSense. It classifies contracts, pleadings, correspondence, regulations, and opinions — on the firm's own hardware. Client files never leave the building.
Outcome
Design-partner early access. Target: 99.3% classification across 5 document types (internal eval — independent benchmark pending). On-premise. DeBERTa-v3. Ed25519 signed.
Classify rulings. See why.
Problem
Tax professionals need to classify rulings quickly and explain the reasoning to clients and regulators. Black-box AI is a liability when the IRS asks how you reached a conclusion.
Workflow
TaxSense reads rulings and classifies them by type — deductions, credits, penalties, procedure. Then shows exactly which phrases drove each decision. Built-in explainability, not an afterthought.
Outcome
Design-partner early access. Target: 0.86 macro F1 (internal eval — independent benchmark pending). Built-in XAI. Under 5 MB. Signed ONNX.
Score sentiment before you finish reading.
Problem
Financial advisors, traders, and analysts need to read market sentiment from news faster than they can read the article — without sending their queries to a third party.
Workflow
A headline hits. FinSense scores it bullish, bearish, or neutral at 42 μs. On your phone. In English, Spanish, Chinese, or Japanese. No API call. No one sees your queries.
Outcome
FinSense v6 standard (2.48 MB): 96.1% multi-dataset aggregate accuracy. 42 μs inference. 4 languages. Zero cloud dependency.
Screen hearts where cardiologists can't go.
Problem
Rural clinics, field hospitals, and remote areas lack specialist access. Sending patient data to cloud services violates HIPAA and creates connectivity dependencies in places with unreliable internet.
Workflow
A nurse holds a phone to a patient's chest. ECG Arrhythmia flags irregular heartbeats in 36 μs. No cardiologist needed on-site. No internet needed. Patient data never leaves the device.
Outcome
36 μs on Snapdragon NPU. 101 KB model. Fully on-device. No connectivity required.
Predict failure weeks before it happens.
Problem
Unplanned downtime costs $80K+ per incident. Traditional monitoring reacts to failure rather than predicting it. Cloud-dependent solutions fail in environments without reliable connectivity.
Workflow
Clip a sensor to a motor. TS Anomaly and Bearing Anomaly learn what 'normal' sounds and feels like. When patterns shift — weeks before a breakdown — you get an alert. Runs for a year on a coin-cell battery.
Outcome
39 μs latency. 387 days on CR2032 battery. 36 KB model. MCU-ready.
Don't see your industry?
The platform supports custom models and workflows. Start with an assessment and we'll scope exactly what you need.