Our Services
Five focused services for building and operating AI in production: on-device deployment, agentic systems, model optimization, private architecture, and adoption.
On-Device AI
Deploy AI models to mobile, IoT, and embedded hardware. We measure performance on the devices you support and design for local processing and offline operation.
- ExecuTorch deployment
- React Native integration
- Offline operation
- Device-specific benchmarks
Agentic Systems
Build AI agents for intake, triage, document handling, and back-office operations. Predictable steps stay in code; language models handle the parts that require judgment.
- Tool integrations
- Deterministic controls
- Evaluation suites
- Audit trails
Model Optimization
Make AI models faster and less resource-intensive on the hardware that matters. We benchmark first, then reduce latency, memory use, and compute while tracking quality.
- Measured latency
- Lower memory use
- Hardware-specific tuning
- Quality benchmarks
Private AI Solutions
Define where sensitive data is stored, processed, and allowed to leave. We design local, on-premises, and tightly controlled cloud architectures around those boundaries.
- Data-flow mapping
- Local & on-premises inference
- Access controls
- Deployment architecture
AI Adoption Strategy
Assess where AI can improve real work, choose a first project worth validating, and prepare the team that will own it in production.
- Opportunity assessment
- Validation plan
- Team enablement
- AI governance
Not sure which service you need?
Tell us what you are trying to build and we will help identify the most useful starting point.