LLM-powered apps, autonomous agents, and machine learning systems — designed around your business outcomes, evaluated rigorously, and shipped with guardrails from day one.
We don't do AI for the demo reel. These are the patterns that reliably pay back in production.
AI agents that resolve tier-one tickets autonomously and draft perfect responses for your human team on the rest.
Every doc, wiki, and ticket — searchable by conversation. New hires get answers in seconds, not Slack threads.
Contracts, invoices, forms: extracted, classified, and routed automatically with human review where it matters.
Multi-step processes across your tools — triage, enrichment, follow-ups — running while your team sleeps.
Assistants embedded in your product or internal tools that draft, summarize, and suggest — under your brand.
Churn signals, demand forecasts, lead scoring — machine learning on your data, monitored in production.
Chat experiences, copilots, and assistants powered by frontier models — grounded in your data.
Agents that take real action across your tools — with permissions, audit trails, and human checkpoints.
Custom models trained on your data for prediction, classification, and recommendation.
AI fails in production for boring reasons — bad data, no evaluation, no guardrails. Our process eliminates them in order.
We find where AI actually pays: workflow shadowing, data inventory, and a brutally honest feasibility check. If AI isn't the answer, we say so.
Your content cleaned, chunked, and indexed — the grounding layer every reliable AI system stands on. Garbage in is not an option.
Test suites of real cases, scored before and after every change. Hallucination controls, permission boundaries, and escalation paths.
Into your stack — your cloud, your tools, your brand. Phased rollout starting with a pilot group, not a big bang.
Quality dashboards, cost tracking, and a retraining loop. AI systems compound — we make sure yours compounds in the right direction.
Model-agnostic by principle — we pick what fits your constraints on quality, cost, latency, and privacy.
A small rule-based demo of the kind of assistants we build — try asking about timelines, pricing, or getting started.
Your data stays yours. We design with least-privilege access, support private deployments, and document exactly where every byte flows — no black boxes.
Grounded retrieval, constrained outputs, human-in-the-loop checkpoints for high-stakes actions, and continuous evaluation against real test cases — measured, not hoped for.
It depends on scope. We work in tight milestones — discovery and design first, then build, hardening, and launch — with working software demoed regularly so you always see real progress.
You own 100% of the code, prompts, pipelines, and documentation. Third-party model APIs run under your own accounts — we never hold your AI hostage.
Scoped before quoted, always. An AI opportunity audit comes first; the build is then broken into clear milestones with working software demoed regularly. Book a free consultation for a real number.
A free consultation: we map the opportunity, pressure-test feasibility, and give you a clear, honest plan. No pitch decks, no pressure.