Change one URL. Get inference + runtime + state + recovery.
The Agentic Inference Cloud is OpenAI-compatible on the wire, but every call you make lands on the warm GPU, belongs to a replayable run, and respects a hard budget cap. Cut 40–70% off inference cost on repeated-state workloads, and stop building checkpoints, replay, and budgets yourself.
Per-customer cost attribution is guesswork. Margin depends on inference efficiency you don't control. Building the checkpoint + resume infra yourself is a team-quarter of work.
Primitives you'd otherwise build for a quarter.
Cache-aware routing
Every step lands on the GPU that already holds its KV cache. You pay for cold compute once, not every request.
Real per-customer cost attribution
Every tenant, project, and run carries real token counts and real dollar cost, not estimates. Attribution in a single SQL query.
OpenAI-compatible gateway
One URL change in your existing client. Zero refactor. Streaming, tool calls, and structured outputs all work unchanged.
Budgets that actually stop
Per-customer budget caps enforced at the inference boundary. Your support team stops fielding $500-loop incidents.
Self-host when you need to
Identical semantics managed or on your own infra. Flip to self-hosted without changing your application code.
What changes for ai-native saas.
Without KovaServe
- Per-request cost = fixed, unoptimizable
- Customer cost = your best guess
- Margin expansion = build your own infra
- Runaway jobs degrade everyone
- Checkpoint infra = team-quarter build
- Cold-start latency every request
With KovaServe
- Per-request cost = drops 40–70% on warm routes
- Customer cost = a measured number per run
- Margin expansion = one URL change
- Runaway jobs hit their cap and return 429
- Checkpoint infra = SDK primitive
- Warm KV cache across the session
Three levels. Pick one and ship.
Swap your OpenAI base_url. Your existing client code works unchanged. Cache-aware routing kicks in immediately.
Tag every inference with your tenant_id and run_id. Pull per-customer cost reports straight from the KovaServe API.
Wrap features in kovaserve.runs with per-feature budgets. Resume from checkpoint on reconnect. Replay any run for support.
Numbers that matter for this workload.
$648K/year saved at 10K tasks/day.
One URL change. Zero refactor.
Real per-customer cost attribution.
Measured savings, not estimated.
Startup or Growth tier is usage-based with volume discounts. SLA on Growth.
Three steps. Most teams ship within the hour.
Sign up
Create a free account. Credit card, no sales call.
Change your base URL
One-line swap in any OpenAI-compatible client. You're now calling the Agentic Inference Cloud.
base_url = "https://api.kovaserve.ai/v1"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.