AI Development Company in Illinois

Custom models, generative AI features, RAG pipelines, AI chatbots and process-automation tools, matched to your product's actual data and workflow, not a generic off-the-shelf wrapper around a public API.

A focused AI feature typically runs $25,000-$70,000. A full generative AI product with multiple integrations can run $150,000 or more. We scope against your actual requirements after a discovery call.

Any project touching facial geometry, fingerprints or other biometric identifiers gets an explicit consent flow and a documented retention and destruction schedule reviewed during discovery. BIPA carries a private right of action, so this is not optional groundwork.

Yes. Route optimisation, demand forecasting and warehouse computer vision are a regular part of our work.

Our US headquarters is in Austin, Texas, with additional offices in London, UK and Mohali, India. We serve Illinois clients remotely with strong Central-time overlap and are happy to meet in person when useful.

A focused MVP typically takes 6 to 10 weeks. A full generative AI product with multiple integrations usually runs 16 to 24 weeks.

Yes, we are happy to sign an NDA before any detailed discussion of your data, business logic or systems.

Ask to see AI products the team has actually shipped to production, not just a prototype, then compare how each proposal handles data privacy, model evaluation and what happens after launch, rather than just the headline price.

We scope the specific use case, give an honest recommendation on whether prompting, fine-tuning or a full RAG pipeline fits, build and evaluate against real questions your users will ask, then deploy with monitoring rather than treating launch as the finish line.

An off-the-shelf AI tool can work when your use case is close to standard, like a generic support chatbot. Custom development earns its cost once you need the model grounded in your own data or evaluated against your own accuracy bar.

Yes, that is one of our most common engagements. We typically wire in a hosted model behind a RAG pipeline grounded in your own documents, so answers stay accurate to your business rather than generic.

Encryption at rest and in transit, role-based access control scoped to the smallest team that needs it, and versioned data pipelines so any model output is traceable to its source data.

Yes. You can hire an AI developer to work inside your existing team and codebase on a dedicated basis, or we can run the full project as a self-contained team depending on how you want to staff it.

You own the source code, trained model artifacts, and documentation delivered under the engagement. We are happy to sign an NDA before any detailed discussion of your data, business logic or systems.