infra · open source
Enterprise AI Platform with Kubernetes
Enterprise AI Platform built on Kubernetes, chosen where it genuinely fits, and swapped where it does not.
- Category
- infra
- Vendor
- Open source
- Alternatives we also use
- 9
Why Kubernetes for this
Orqent Labs builds the internal platform layer so your teams get the speed of direct API access with the audit trail your risk function requires.
Kubernetes is strongest at portability and fine-grained control over scaling and scheduling. For enterprise ai platform that matters because the failure modes of this kind of system tend to cluster exactly there.
The honest trade-off: an operational burden most teams below a certain size should not take on. We say that up front because a stack chosen for fashion rather than fit becomes someone's migration project two years later. We start from the constraint, not the capability, what the system must never do, who signs off, and what happens when it is wrong.
We hand over with runbooks, tests and a team that knows how it works, not a dependency.
The honest assessment
- What it is
- Container orchestration for workloads that genuinely need it.
- Strongest at
- portability and fine-grained control over scaling and scheduling
- Trade-off
- an operational burden most teams below a certain size should not take on
- Category
- infra
We are not a reseller for Kubernetes and hold no commission on this choice. Where a different option fits your workload better, the recommendation will say so. That is the entire value of asking us.
What is included
- Model gateway across providers with failover
- Central prompt and template registry with versioning
- Per-team quotas, budgets and cost allocation
- Policy enforcement, PII handling, allowed models, data residency
- Full audit log of every prompt and response
- Self-service onboarding for product teams
Questions
Why not let teams call the APIs directly?
Because you lose cost visibility, audit trail and policy enforcement, and you end up with keys in a dozen repositories. A gateway gives teams the same speed with none of that exposure.
Does it lock us to one model provider?
The opposite, the gateway is what makes providers swappable, with failover when one has an outage.
How long does a platform take?
A usable first version with gateway, logging and quotas typically lands in six to eight weeks; governance depth grows from there.
Alternatives for enterprise ai platform
Same capability, different stack. Each page states its own trade-off.
Building with Kubernetes?
Bring us the workload and we will tell you whether this is the right stack for it.
Or email bd@dtrasglobal.com · call +91 74118 77878