AI Development Company in Minneapolis, Minnesota

We sign NDAs before technical discussions begin. For sensitive engagements, we can work in your VPC from day one, no data leaves your environment. We're SOC2-aware and can align with HIPAA, or any other requirements depending on your vertical.

Most PoCs run 2–8 weeks and are scoped to a fixed deliverable: a working system against your real data, with a written benchmark report. Pricing scales with complexity, but we provide a fixed-price proposal after the technical discovery call.

Absolutely. Many of our engagements are staff-augmentation style, we embed one or two ML engineers into your team, work in your repos, attend your standups, and transfer knowledge throughout. We're built to make your team more capable, not create a dependency on us.

We decide based on your data volume, update frequency, and latency requirements. RAG is usually the right call for knowledge-intensive applications with frequently updated data. Fine-tuning wins when you need behavioral change, domain-specific reasoning, or API cost reduction at scale. We document the tradeoff analysis as part of the discovery phase.

We are a remote first team with our core AI engineering bench based in Pakistan, giving you access to senior, specialized talent at a more efficient cost than a traditional local only shop. We work US hours for client engagement, run architecture sessions, infrastructure audits, and technical workshops directly with your team, and operate async-first so the workflow adapts to distributed teams on your end too.