Managed AI
Services

Yes. We support all major cloud platforms (AWS, Azure, GCP), on-premise infrastructure, and hybrid environments. Our deployment model is flexible and adapts to your data residency, security, and compliance requirements.

We embed governance from day one — covering AI risk management, data privacy (GDPR, HIPAA, etc.), audit trails, and ethical AI practices. Our dedicated AI Governance & Compliance pillar ensures your AI is always audit-ready and regulatory-compliant on a continuous basis, not just at deployment.

Our model monitoring systems detect performance degradation, data drift, and concept drift in real time. When a model starts underperforming, we trigger an automated retraining workflow, validate results, and promote the improved model to production — typically without any downtime or manual intervention from your team.

We offer tiered SLAs based on engagement model. Fully Managed AI clients receive 99.9%+ uptime guarantees, defined incident response times (P1 response within 15 minutes), and monthly performance reporting. All SLAs are contractually backed.

Pricing is based on a predictable monthly operating cost model — no large upfront fees or hidden ongoing costs. The fee is scoped to the number of models managed, service tier, and support level required. Contact us for a tailored quote after a free AI Readiness Assessment.

Onboarding typically takes 2–4 weeks depending on your environment complexity. It covers AI readiness assessment, environment setup, model baseline configuration, monitoring integration, and handoff documentation. We aim for a fast start without compromising quality or security.