Transform Your Business
With Intelligent AI / ML

Most projects run 8–16 weeks from kick-off to production deployment. A Proof of Concept can be done in 4 weeks. Complex multi-model systems with custom infrastructure take 12–20 weeks. We scope conservatively and build buffers for iteration cycles.

Yes — we sign NDAs before any technical discussions. All data stays in your cloud environment or agreed-upon secure infrastructure. We don't train on your data without explicit consent and follow SOC 2 and GDPR principles in all engagements.

Yes. We've deployed models to on-premise clusters, air-gapped environments, and hybrid setups. We design around your infrastructure constraints rather than forcing a cloud-first architecture when that's not appropriate for your situation.

Every project includes 90 days of post-launch support: weekly performance reviews, drift monitoring, retraining alerts, a dedicated Slack channel, and a monthly health-check call. We treat go-live as the beginning, not the end.

We offer three engagement models: Fixed Cost (for well-scoped builds), Hourly (for R&D and evolving requirements), and Monthly Retainer (for ongoing development). All pricing is discussed openly in the Discovery call — no hidden fees or scope creep surprises.

Absolutely — we often do. We can own end-to-end delivery, fill specific gaps (MLOps, data engineering, LLM expertise), or provide technical leadership and code review. We adapt entirely to your team structure and existing workflow.