InnoMetrique

Our core work spans four areas: Retrieval-Augmented Generation (RAG) pipelines for grounded, accurate knowledge retrieval; autonomous AI agents for SOP and workflow automation; custom LLM and copilot development; and Document AI/OCR systems for high-volume unstructured data extraction. Alongside this, we support clients with data engineering, cloud/MLOps infrastructure, and — for teams that need it — blockchain and full-stack product engineering.

What sets our approach apart is what happens after the demo works. Every engagement we take on includes evaluation frameworks, observability, error handling for real-world edge cases, and a clear plan for who maintains the system once we hand it off. We don’t build black boxes, and we don’t disappear after launch.

We also publish our pricing openly, which is unusual in this industry: focused 4–8 week builds run $6,000–$18,000, larger 12+ week platform engagements run $48,000+, and every project starts with a free technical consultation to validate scope before any commercial commitment is made.

We work best with founders, product leaders, and technical teams whose AI pilot proved the concept but stalled before reaching real users — and who want a technical partner, not a black-box vendor, to get it the rest of the way there.