Six services, one discipline
We build the AI system, not just the model call — architecture, retrieval, adaptation, agents, the data underneath, and the infrastructure that keeps it running.
AI System Architecture
Model selection, inference pipeline design, and production-grade deployment — built to your load profile.
The problemMost enterprise AI projects fail not at the model, but at the system around it — latency budgets missed, cost overruns, no clear ownership between model and application.
RAG & Knowledge Systems
Retrieval-augmented generation pipelines that surface the right information at inference time, reliably.
The problemOff-the-shelf RAG demos work on clean documents. Enterprise document sets are messy — mixed formats, competing revisions, permission boundaries — and generic pipelines hallucinate or leak.
Fine-tuning & Adaptation
Domain-specific model adaptation and evaluation frameworks grounded in your actual business metrics.
The problemGeneric models miss the vocabulary, tone, or reasoning your domain requires — and blindly fine-tuning without measurement burns budget without a signal on whether it actually helps.
Agentic Workflows
Multi-step AI agents with tool use, memory, and guardrails — designed for autonomous operation at scale.
The problemAgent demos are impressive; agents in production are dangerous without guardrails. You need something that acts on your systems reliably and stops when it should.
Data Infrastructure
Pipelines, vector stores, and evaluation datasets that keep your models accurate as the business scales.
The problemAI models are only as good as the data feeding them. Scattered sources, stale exports, and no evaluation dataset means model quality degrades silently and no one catches it.
AI Infrastructure & DevOps
The deployment, monitoring, and reliability layer that keeps your AI fast and available under real load.
The problemA model that works in a notebook and a model that survives production traffic are different engineering problems.
Answer four questions and our AI scopes it for you — grounded in what we actually build.