Smart assistants, automated analysis, and machine learning applied where it actually helps — not as a buzzword. Real tools that make your team faster or your product smarter.
Customer service bots, internal knowledge assistants, document-drafting tools. Built on Claude, GPT, or open-source models depending on your privacy and cost requirements.
Extract structured data from PDFs, invoices, contracts, and forms. Turn unstructured documents into clean records in your database — with a human-in-the-loop review step for high-stakes fields.
Semantic search over your documentation, knowledge base, or customer history. Users get direct answers instead of a list of links to read.
AI that drafts, summarizes, classifies, or routes — with your team reviewing and approving. Faster than manual, safer than full autonomy.
We pick the model based on your constraints — latency, cost, data sensitivity, compliance. Not locked to one vendor.
Timeline: 2–4 weeks for a focused assistant or doc-parsing tool. 6–12 weeks for production RAG systems with evaluation, guardrails, and monitoring.
Budget range: Proofs of concept from $5,000. Production AI tools from $20,000. High-compliance or high-volume deployments quoted after discovery.
What we insist on: An evaluation suite so we can measure quality, not just hope. Guardrails so the model doesn't hallucinate into your production data. Observability so you can see what's being said.
Honest note: AI isn't always the answer. If you brief us on something that's better solved with regular software, we'll say so.
Describe the task, the volume, and what "good" looks like. We'll tell you honestly whether AI is the right fix.
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