Services
Focused, end-to-end help across the AI software lifecycle.
- AI application development (LLM and traditional ML)
- Backend APIs, integrations, and workflow automation
- Model evaluation, quality gates, and monitoring
- RAG systems: retrieval, indexing, and grounding
- Performance, reliability, and security hardening
Approach
Simple, pragmatic engineering — clear milestones, measurable outcomes, and software that’s maintainable.
- Start with a small proof of value
- Validate quality with real-world test cases
- Ship incrementally with observability from day one
- Design for production: latency, cost, and governance
Contact
Tell us what you’re building and your timeline. Contact options follow.
What we’re great at
Bridging research and production: solid engineering with AI capabilities.
- Clean architecture and maintainable codebases
- Cloud deployments and CI/CD
- Data pipelines and search/retrieval
- Developer tooling and internal platforms