TinyTera helps complex organizations design, build and ship AI systems that hold up in the real world — from first prototype to production.
Not slideware — working systems. We take on the messy parts of putting AI inside real organizations: data, integration, safety and change.
Custom assistants and copilots wired into your tools, data and permissions — built on the model that fits, not the one that's trendy.
Turn scattered documents and institutional knowledge into systems that answer accurately, cite their sources, and respect access control.
UX for probabilistic software is different. We design AI products people actually trust — clear affordances, graceful failure, honest confidence.
The unglamorous foundation AI depends on: pipelines, warehouses and APIs that make your data usable, governed and ready for models.
Agentic workflows that take real work off your team's plate — document processing, triage, reporting — with humans kept in the loop.
Deployments that survive a security review: private model hosting, data residency, audit trails and compliance-aware architecture.
We specialize in the sectors where AI is hardest to ship — and matters most.
Assistants and document intelligence for health organizations — where accuracy, privacy and auditability are non-negotiable.
Recommendation and booking experiences that use generative AI to feel personal without being creepy.
Citizen services and learning tools built to public-sector standards: accessible, transparent, and procurement-friendly.
Strategy, engineering, design and infrastructure — under one roof, across three time zones.
A decade launching and operating client-facing products across telecom, finance, gaming, health, cloud and education.
Strategy consultant with tech and private-equity case experience. 5+ years in business strategy, product and market research.
Two decades in system administration, technical support and IT infrastructure, from troubleshooting to network operations.
B.S. in Computer Engineering from Milwaukee School of Engineering, with extensive experience building full-stack applications.
Whether it's a first AI pilot or a system that's outgrown its prototype — we'd like to hear about it.