Agents, automations and RAG copilots - shipped to production, wired into your real systems, with the engineering rigour to keep them running.
Sales, support and ops agents wired into your CRM, inbox and workflows - acting on real data, not demoware.
End-to-end automations across your stack - Zapier, n8n, Temporal, custom APIs - with proper error handling and observability.
Private chatbots and copilots grounded in your docs, tickets and product data - with citations and access controls.
Briefs, audience generation, creative variants and reporting drafts - shipped through your existing tools, not a separate UI.
We don't start with 'where can we use AI'. We start with the workflow that's bleeding the most hours or revenue.
A working prototype on real data inside the first week - not a 6-week scoping exercise.
Evals, guardrails, fallbacks, logging and access control. AI in production is engineering, not prompting.
Eval datasets evolve, models change, workflows shift - we run the system so it gets better over time, not staler.
How we wired AI agents into a live customer data platform to turn segment insights into next-best-action automatically.
Most pilots die because nobody owned production. We scope around a workflow with a budget owner, ship to production, and stay on to operate it.
Yes. We're model-agnostic. We'll benchmark options on your eval set and pick the best cost/quality fit - then make swapping providers easy.
Default posture is no training on your data, regional hosting where needed, PII redaction in the pipeline, and audit logs on every call.