Services
Model-as-a-Service (MaaS)
Go from AI urgency to business impact - quickly, safely, and with costs you can forecast.
AI is moving fast – and most organizations don’t need more pilot programs or beta testing. They need a practical path to identify the best opportunities to leverage AI, build and launch AI solutions in production, and run them reliably without taking on new operational risk.
Built for organizations ready to move beyond AI experimentation, Ankura’s Model‑as‑a‑Service (MaaS) is a managed service that helps identify and prioritize high-value AI solutions, then deploy and operate the models behind those solutions in a private, dedicated and secure environment. Rather than relying on shared, consumption‑based AI platforms or building a costly internal AI infrastructure and knowledge base, clients leverage Ankura’s deep expertise and state-of-the-art hardware to push the boundaries of what’s possible with AI. We handle the heavy lifting, including assessment, platform operations, monitoring, support, and governance, so your teams can focus on opportunities, adoption and outcomes while maintaining control, confidence and costs.
We can help you:
- Start with the right work with a structured assessment to select use cases that are valuable, feasible, and responsible.
- Get to production faster with an operating model designed to move beyond experimentation.
- Operate safely with reliability, monitoring, incident response, and governance built in.
- Control cost with a predictable model designed to avoid runaway consumption spend.
MaaS exists to remove AI infrastructure friction so clients can operationalize AI safely, efficiently, and economically
Offerings
- MaaS Managed Service
Our MaaS Managed Services provide the operational layer required to run AI models at scale.
What we provide:
- AI opportunity assessment to identify/prioritize use cases by value, feasibility and risk
- Deployment and management of production‑ready AI models
- Integration seamlessly into AI governance frameworks
- Ongoing model runtime operations and monitoring
- Secure API endpoints for application and workflow integration
- Incident response, troubleshooting, and operational support
- Model upgrade, refresh, and optimization planning
- Capacity planning and scaling guidance
- Competitive pricing structure not based on consumption
This service eliminates the need for clients to build or maintain a permanent AI operations team while ensuring AI systems remain reliable, secure, and performant over time.
- Private AI Infrastructure
Our Private AI Infrastructure provides clients with a dedicated, single‑tenant hardware environment required to support MaaS.
What we provide:
- Dedicated AI hardware reserved exclusively for the client
- Deployment in secure hosted environments or client on‑premises facilities
- Private connectivity to client systems
- Hardware provisioning, configuration, and performance monitoring
- Infrastructure designed to scale as AI usage grows
Unlike shared AI platforms, this secure infrastructure is architected to provide control, isolation, and predictability.
The Ankura Difference
Ankura helps leaders turn AI ambition into results—without taking on unnecessary risk. We combine deep technical capability with the governance, compliance, and operational discipline needed to run AI in the real world. The result: faster path from use-case selection to production, a managed model that reduces burden on internal teams, and an approach designed to protect your data, your reputation, and your budget. Connect with us for an executive briefing to align on priority use cases, success measures, and a practical 90-day path to production.
Key Contacts
- Kevin Lavin
Chief Executive Officer
New York, NY
- Arni Steingrimsson
Managing Director
