KovaServeKovaServe
For enterprise AI platform teams

One cloud. Every team. Your infrastructure.

KovaServe is the Agentic Inference Cloud for your org. One API with isolation, budgets, audit, and resume across every GPU pool and every internal team. Managed or fully self-hosted with identical semantics.

Teams share GPU pools with no isolation. No per-team audit. Sensitive data can't leave your VPC. One runaway job degrades everyone's latency. You're duct-taping this with scripts.

One cloud, every team
Your org
org-wide budget, audit, compliance
Teams
per-team quota, model ACL, SSO
Projects
per-project API key, per-env isolation
KovaServe, the Agentic Inference Cloud

One API. Inference + runtime + state + recovery, bundled. Deploy managed, self-hosted, or air-gapped with the same semantics.

What your product gains

Primitives you'd otherwise build for a quarter.

Per-team, per-project isolation

Hierarchical tenants: organization → team → project → environment. Per-team GPU quotas, model ACLs, and rate limits. No noisy-neighbor degradation.

Per-tenant audit trail

Every run, step, and model call is attributable to a team, project, and user. End-to-end replay for compliance, security review, or incident response.

Air-gapped self-hosted

Deploy inside your VPC with zero data egress. Identical semantics to managed. No feature split between hosted and on-prem.

Runaway protection, org-wide

Hard budget caps per team, per project, per run. No single workload can run a department out of its quota.

Open, programmatic cloud

Every capability is a public API call. Wire it into your ServiceNow, Slack ops, FinOps tooling. No closed loops.

Before / after

What changes for enterprise ai platforms.

Without KovaServe

  • Teams share GPU pools → noisy neighbors
  • Audit = grep logs across 12 services
  • Data has to leave VPC for inference
  • Runaway job eats everyone's latency
  • FinOps = guess per team
  • On-prem feature split vs managed

With KovaServe

  • Hierarchical tenants → per-team quotas
  • Audit = one API call per run
  • Self-hosted with zero egress
  • Runaway job hits its cap at the boundary
  • FinOps = attributed per project
  • On-prem = identical semantics to managed
How you adopt it

Three levels. Pick one and ship.

1
Pilot on one team
1 week, zero lock-in

Deploy KovaServe inside your VPC or use the managed tier. Route one team's traffic through the gateway. Compare metrics.

2
Roll out to the org
1 month, org-wide primitives

Provision the tenant hierarchy. Grant teams their quotas. Wire audit feeds into your existing compliance pipeline.

3
Make it the default
1 quarter, full platform

Every AI workload in the org goes through KovaServe. Budget caps, audit trail, and replay become org-wide defaults.

Proof

Numbers that matter for this workload.

Per-team budgets. Per-tenant audit. Per-project quotas.

Self-hosted parity. Same features, your VPC.

Air-gapped option available on request.

Open API. Integrates with your existing FinOps.

Pricing highlight

Self-Hosted tier. Flat annual, your infra, air-gapped option.

See full pricing
How you start

Three steps. Most teams ship within the hour.

1

Sign up

Create a free account. Credit card, no sales call.

2

Change your base URL

One-line swap in any OpenAI-compatible client. You're now calling the Agentic Inference Cloud.

python
base_url = "https://api.kovaserve.ai/v1"
3

Ship

Every call is now a durable run. Inference, runtime, state, and recovery, bundled. Cache savings and cost attribution come automatically.

Stop assembling inference, runtime, state, and recovery yourself.

Call the Agentic Inference Cloud instead.

Design partner program open. 5 slots this quarter.