Services
AI-Driven Development
AI integrated where it actually moves a metric. We design, ship, and run intelligent features inside your existing software — without rewriting your product.
Where AI actually earns its keep
Use cases we ship most often.
Conversational interfaces
Chatbots and copilots over your data — internal tools, customer support, sales assist. RAG-backed with citations and guardrails.
Search & retrieval
Semantic and hybrid search over documents, tickets, code, and structured data. Embedding pipelines + reranking.
Structured extraction
Pull structured data out of PDFs, emails, contracts, and unstructured text — with schema validation and confidence scoring.
Agents & workflows
Multi-step LLM workflows that take action — tickets, approvals, routing, escalation — with audit trails and human-in-the-loop.
Smart suggestions
In-product AI suggestions, drafts, summaries, and recommendations that integrate cleanly with your UX.
Eval & observability
Offline evals, regression tests for prompts, cost dashboards, and quality metrics — so AI behaves predictably in production.
How we approach AI
Practical, transparent, and built to survive a model upgrade.
Model-agnostic by default
We work across Claude, GPT, Gemini, and open-source models. We pick by the workload, not the vendor demo.
Retrieval first, fine-tuning last
Most "AI" problems are retrieval problems. We get the data right before reaching for fine-tuning or larger models.
Evals before scale
If you can't measure it, you can't ship it. We build eval suites alongside the features themselves.
Guardrails, not vibes
Schema-validated outputs, PII redaction, prompt injection mitigations, and clear escalation paths to humans.
Cost & latency are features
Caching, batch routing, smaller models where they're enough, and visibility into per-feature cost.
Data stays where it should
Cloud, on-prem, or hybrid. We respect your data residency and compliance constraints.
Starting points
AI readiness review
Two-week assessment: where AI fits in your product, what data is ready, what to build first, and what to skip.
Prototype sprint
Four-week sprint to a working prototype on real data with an honest eval — go/no-go decision at the end.
Production AI feature
Full implementation: ingestion, retrieval, prompts, evals, observability, and the UI inside your existing product.
Thinking about adding AI?
Tell us the problem you're trying to solve. We'll tell you honestly whether AI is the right tool and what the cheapest path to value looks like.
Book an AI consultation