Custom AI, built for production
AI applications engineered for real business outcomes
Overview
Most AI projects die in the demo stage. They impress in a slide deck, then collapse under real data, real users, and real latency budgets. We build the other kind: AI applications that survive contact with production and keep earning their place on your P&L.
Our team designs the full stack — model selection, retrieval architecture, evaluation pipelines, guardrails, and the product surface your users actually touch. You get a system with measurable accuracy, predictable costs, and a roadmap for improving both.
typical time from kickoff to production pilot
task accuracy targets set and measured per use case
typical ROI benchmark within the first year
What's included
What we deliver in ai development
LLM Application Development
Product-grade applications built on frontier and open-source models, with structured outputs, function calling, and fallback strategies baked in.
RAG & Knowledge Systems
Retrieval pipelines that ground answers in your data — chunking strategy, hybrid search, reranking, and citation so responses are accurate and auditable.
Model Evaluation & Guardrails
Eval suites, regression testing, and safety layers that catch failures before your customers do.
Fine-tuning & Model Optimization
Fine-tuned and distilled models when off-the-shelf isn't accurate or cheap enough at your scale.
AI Product Strategy
Feasibility analysis and build-vs-buy decisions grounded in what current models can reliably do — not vendor hype.
MLOps & Deployment
Monitoring, cost controls, versioning, and CI for prompts and models, so the system improves instead of decaying.
Engagement
How the work unfolds
Discovery
We map your workflows, data, and goals — then identify where AI and software create the most measurable leverage. You get a scoped roadmap with ROI estimates, whether or not you build with us.
Design
Architecture, interface, and success metrics defined before code. You see exactly what will be built, what it will cost to run, and how we'll know it's working.
Build
Senior engineers ship in weekly cycles with working demos every Friday. No black-box development — you watch the system come alive.
Scale
Launch, measure, tune. We stay accountable to the metrics defined in design — resolution rates, hours saved, revenue influenced — and iterate until they're hit.
FAQ
Common questions
We benchmark candidate models against your actual tasks and data during discovery — accuracy, latency, and cost per task — then recommend the smallest model that meets the bar. That often means mixing models: a frontier model for complex reasoning, smaller models for high-volume steps.
Scope your AI build — it starts with one call.
30 minutes. No pitch deck. We'll map where AI and automation create the most leverage in your operation — and give you the roadmap either way.