The problem
Every team is experimenting with AI, but very few have anything in production. Prototypes stall because of hallucinations, security concerns, or systems that don't integrate with existing tools — while support queues grow and competitors automate.
The gap isn't ideas. It's engineering: evaluation, guardrails, integration, and monitoring. That's the part we do.
What we deliver
Chat and search over your own documents, products, and data — grounded, cited, and evaluated.
Customer-facing assistants that resolve queries and hand off cleanly to humans.
Extract, classify, and summarize invoices, contracts, and reports automatically.
Custom vision and NLP models where off-the-shelf APIs fall short.
Test suites, safety filters, and monitoring so quality doesn't degrade silently.
Connected to your CRM, helpdesk, database, and internal tools — not a silo.
Our process
We identify where AI creates real ROI for you — and where it doesn't.
A working proof-of-concept on your data, typically in 2–3 weeks.
Accuracy testing, guardrails, security review, and cost optimization.
Production rollout with dashboards, alerts, and continuous improvement.
faster first response in our sample AI support-assistant build. See how an AI assistant transforms a support team — read the full sample case study.
Read case studyQuestions we hear often
Yes. We design for data privacy from day one — your data stays in your infrastructure or an isolated environment, with access controls and no training on your private data without written consent.
Whichever fits the job and budget. We're model-agnostic: OpenAI, Anthropic Claude, or open-source models hosted privately — chosen after testing on your actual use case.
A working prototype typically takes 2–3 weeks. Production deployment usually lands between 6 and 12 weeks depending on integrations and compliance needs.
We optimize for running cost, not just build cost — caching, model routing, and right-sizing typically cut monthly AI bills by 30–60% versus naive implementations.
A 30-minute call is enough to tell you whether this is the right move, what it would take, and what it would cost.
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