AI systems, engineered for production.
We design and ship AI-native software for teams that need real engineering — not demos. Every capability below is something we have built, in production, for clients and inside our own lab.
Applied LLM Systems
Production LLM platforms with retrieval, evaluation, and safety baked in. We design the architecture, not just the prompts.
- RAG pipelines over private corpora
- Multi-model routing & fallbacks
- Eval harnesses and regression suites
- Guardrails, PII handling, audit trails
Agent Architectures
Reliable, observable agents that do real work. Structured tool use, deterministic recovery, and clear boundaries between autonomy and control.
- Tool-using agents with strict schemas
- Long-running task orchestration
- Human-in-the-loop checkpoints
- Trace-level observability
AI-Native Product Engineering
Web, mobile, and desktop applications built around an AI core — not bolted on. Beautiful, fast, accessible interfaces with AI as a first-class primitive.
- Next.js, React Native, Electron / Tauri
- Streaming UIs and realtime inference
- Design systems with motion craft
- Edge-aware rendering & latency budgets
Knowledge & Retrieval
Search and Q&A systems that respect your data. Hybrid retrieval, semantic indexing, and continuous quality monitoring.
- Hybrid lexical + vector retrieval
- Document parsing for messy real-world inputs
- Reranking and citation tracking
- Drift detection on knowledge bases
Workflow Intelligence
AI woven into the systems your team already uses. We model the workflow first, then place inference where it actually moves the needle.
- Process mapping and intervention design
- Event-driven AI triggers
- Integration with existing CRMs and stacks
- Measurable success criteria from day one
ML Infrastructure
The unglamorous foundation that decides whether AI ships. Pipelines, evals, deployment, and the operational story behind every model in production.
- Inference serving and autoscaling
- Eval pipelines as a build gate
- Cost and latency observability
- Model registry and rollout discipline
Senior engineers, end-to-end.
Engineering depth
Senior engineers do the work end-to-end. No handoffs to juniors after the sales call.
Production discipline
We treat evals, observability, and rollback as launch criteria, not afterthoughts.
Research literacy
Our team tracks frontier research and brings what is genuinely useful into client systems.
Have something ambitious in mind?
Tell us about the problem. If it is a good fit, we will scope a discovery sprint and bring senior engineers to the conversation from day one.