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Capability
Managed Services
We stay after launch — monitoring models and apps, fixing issues, and shipping continuous enhancement under clear SLAs.
Summary
AI Ops, application support, continuous enhancement, and SLA-backed run operations.
Problem
What teams are stuck with
Products launch then stall; nobody owns drift, incidents, or model quality decay.
Vendor tickets bounce while users wait.
Offerings
What we deliver
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01
AI Ops and model monitoring
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02
Application support and SRE
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03
Continuous enhancement
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04
SLA-backed run operations
Approach
How we work it
Define run ownership, SLAs, and escalation trees upfront.
Monitor product health and AI quality as one operating model.
Reserve capacity for enhancement, not only firefighting.
Outcomes
What good looks like
- Stable production with clear owners
- Models that do not silently degrade
- Steady product improvement after launch
Sub-services
Inside Managed Services
- AI Ops & Model Monitoring Monitor latency, cost, quality drift, and safety signals for production AI.
- Application Support & SRE Tiered support, on-call, and reliability engineering for your production apps.
- Continuous Enhancement A retained engineering capacity for prioritized improvements after go-live.
- SLA-backed Run Operations Contracted uptime, response, and resolution SLAs for mission-critical systems.
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