Why Kolm
Own the AI you're renting.
Point your existing OpenAI and Anthropic calls at Kolm - no SDK rewrite. It compiles the behavior you already use into a signed model in one portable file and runs it on your own hardware. Pay to run the behavior you've already established, not frontier prices to rent it again, forever.
- Channels
- 17API data
- Policies
- 8layers
- Targets
- 5runtimes
- Signature
- Ed25519
The bill never stops
Renting a model means paying for it twice.
You proved the behavior already. Renting it back per call, forever, is the most expensive way to run AI you've ever built. Kolm captures that behavior once, compiles it into a model you own, and runs it on hardware you already pay for - without touching your SDK.
How we compare
Point tools rent you pieces. Kolm hands you the model.
Most teams stitch this together from separate products - a gateway, an eval dashboard, a training service, a serving host, a security packet. Each one rents you a slice and keeps you on the meter. Kolm uses those tools as inputs and ships you the thing you actually want: a portable, signed model you own. Every row below names what a point tool gives you, and what you walk away owning with Kolm.
| What you need | What a point tool gives you | What you own with Kolm | Where to check it |
|---|---|---|---|
| Gateway and routing | Provider access, fallbacks, model routing, cache, budgets, rate limits, retries, and canary routing - and the meter never stops running. | Your live traffic becomes the model. Kolm captures what flows through the gateway and compiles it into a model you run yourself - routing is the on-ramp, not the destination. | /v1/route 17 channels |
| Observability and evals | Traces, sessions, prompt versions, datasets, annotations, experiments, production evals, custom scores, and dashboards - insight you watch, but never ship. | Your traces ship inside the model. Import them and Kolm turns them into regression sets, eval bundles, and signed proof that travels with the artifact - not a dashboard you log into. | /v1/evals regression replay |
| Continuous improvement | Failure triage, data curation, targeted supervision, retraining, and regression checks - worth little if the model that comes out isn't yours to keep. | You keep the model and the controls. The failure queue, replay gates, compiled model, and export ledger all live in your account - improve it on your terms, and walk away with the result. | compile-artifact your account |
| Training and serving | Model customization, LoRA/adapters, hosted endpoints, GPU scheduling, autoscaling - mature, and another endpoint you rent by the hour. | You get a file, not another endpoint. Kolm packages the behavior into one portable artifact - model, recipe, evals, receipt - that runs on the smallest runtime that fits. No host to rent. | /v1/compile target matrix |
| Security and trust | Risk controls, prompt/security testing, model scanning, DLP, and vendor trust workflows - trust you have to take on faith from a vendor. | Proof anyone can check. Every artifact is Ed25519-signed, so a buyer, auditor, or platform team can verify exactly what it is and how it behaves - without trusting Kolm. | /v1/receipts/verify verify it yourself |
| Data and ops | Batch, streaming, warehouses, queues, CDC, SIEM drains, tickets, approvals, webhooks, browser events, and custom adapters - behavior scattered across a dozen pipes. | Capture from the tools you already use. Pull behavior from wherever it lives, then compile it into one model you own - with owner, retention, redaction, and export scope spelled out for every path. | 12 ingress modes 10 export modes |
No benchmark claims here - judge Kolm on what it lets you walk away with: a portable, signed model you own, run cheaper, and can verify yourself.
The shape of the choice
Rent the endpoint, or own the file.
Renting means you pay a per-call price for the same behavior on every request, forever, and the endpoint sits wherever the vendor put it. Owning means you compile that behavior once into a portable file and run it on your own hardware. Two pictures make the difference plain: where each option lands on cost and latency, and what happens to the bill once the model is yours.
Read it row by row · what each line of the table above buys you
- Rent the endpointyou own 0
- Stitch point toolsscattered
- Compile with Kolmone file, yours
Concrete example: a workflow that runs 500,000 calls a month keeps paying the per-call rate every month you rent it. Compile that same behavior once and the next 500,000 calls run on the hardware you already have. The endpoint route never hands you a thing to keep; the compile route hands you a signed .kolm file: model, recipe, evals, and receipt in one artifact you can verify yourself.
How Kolm wins
Eight reasons teams switch to Kolm.
Each one earns its place by getting you to the same outcome: a model you own, run cheaper, and can prove. If a feature doesn't move you toward that, it isn't here.
One console for the whole job
Capture, redaction, provider keys, budgets, retention, evals, compile, targets, and export - one place to take live traffic all the way to a model you own.
Bring your behavior from anywhere
Trace exports, eval dashboards, OpenTelemetry spans, gateway logs, JSONL, webhooks, GraphQL/RPC, queues, warehouses, SIEM drains, MCP, A2A, browser events, files, and custom adapters - capture it all.
Walk away with a model
You don't get a dashboard score - you get a signed .kolm file: model, recipe, evaluators, hashes, receipt, and run instructions, all in one portable artifact.
Verify it yourself
Receipts, public keys, and hashes check out anywhere - a buyer, auditor, or platform team can confirm exactly what a model is without trusting Kolm or logging into our UI.
Run it where it fits
Take your model and go - laptop, your private cloud, the edge, or a server. Kolm ships a clean recipe for each target, with the real limits shown up front.
No lock-in, ever
Your model is one file you can export and move whenever you want. Switch hardware, switch clouds, take it with you - nothing about Kolm holds your behavior hostage.
See the real machine
Every page shows the actual product - routes, captured channels, jobs, receipts, targets, and your next action. What you see is what you run.
Keep the tools you have
Gateways, evals, security, training, and RAG tools all plug in as sources, controls, or run targets. Kolm adds the model you own - it doesn't ask you to rip anything out.
It stays yours
The model you build is the model you keep.
Kolm ties production traffic, failures, curated data, retraining signals, evals, signed models, run targets, and proof together - and the model that comes out is yours to export, run, and verify. Improve it as long as you like; nothing about it depends on us.
- Capture live · work from your real API traffic, not a stale dataset export
- Proof per build · receipts, evals, and provenance travel with every compile
- Keep your tools · import traces and evals instead of a rip-and-replace migration
- Run anywhere · ship to your private cloud, the edge, a server, or a laptop
Ready to own what you're renting?
Run a capture. Own the model it makes.
Point one API namespace at Kolm. Capture the behavior you already use, compile it into a signed model, and run the result on the hardware you already have - no rewrite, no lock-in.