KovaServeKovaServe
For AI-native SaaS platforms

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.

Run timeline
run_01HK4Q · 20 steps
1
step 1 · model_call · qwen3-4b · 60ms · $0.0080
cache MISS
2
step 2 · model_call · qwen3-4b · 69ms · $0.0100
cache MISS
3
step 3 · model_call · qwen3-4b · 78ms · $0.0120
cache MISS
4
step 4 · model_call · qwen3-4b · 87ms · $0.0080
cache HIT
5
step 5 · model_call · qwen3-4b · 96ms · $0.0100
cache HIT
6
step 6 · model_call · qwen3-4b · 60ms · $0.0120
cache HIT
7
step 7 · model_call · qwen3-4b · 69ms · $0.0080
cache MISS
8
step 8 · model_call · qwen3-4b · 78ms · $0.0100
cache HIT
9
step 9 · model_call · qwen3-4b · 87ms · $0.0120
cache HIT
10
step 10 · model_call · qwen3-4b · 96ms · $0.0080
cache HIT
11
step 11 · tool_call · qwen3-4b · 60ms · $0.0100
cache HIT
12
step 12 · model_call · qwen3-4b · 69ms · $0.0120
cache HIT
13
step 13 · model_call · qwen3-4b · 78ms · $0.0080
cache MISS
14
step 14 · model_call · qwen3-4b · 87ms · $0.0100
cache HIT
15
step 15 · model_call · qwen3-4b · 96ms · $0.0120
cache HIT
16
step 16 · model_call · qwen3-4b · 60ms · $0.0080
cache HIT
17
step 17 · model_call · qwen3-4b · 69ms · $0.0100
cache HIT
18
step 18 · model_call · qwen3-4b · 78ms · $0.0120
cache HIT
19
step 19 · model_call · qwen3-4b · 87ms · $0.0080
cache MISS
20
step 20 · model_call · qwen3-4b · 96ms · $0.0100
cache HIT
Total cost
$0.42
Cache saved
$0.23
Duration
4.2s
What your product gains

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.

Before / after

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
How you adopt it

Three levels. Pick one and ship.

1
Change one URL
15 min, zero refactor

Swap your OpenAI base_url. Your existing client code works unchanged. Cache-aware routing kicks in immediately.

2
Add run metadata
1 hour, per-customer attribution

Tag every inference with your tenant_id and run_id. Pull per-customer cost reports straight from the KovaServe API.

3
Adopt the SDK
1 sprint, full budgets and checkpoints

Wrap features in kovaserve.runs with per-feature budgets. Resume from checkpoint on reconnect. Replay any run for support.

Proof

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.

Pricing highlight

Startup or Growth tier is usage-based with volume discounts. SLA on Growth.

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.