DROP-IN PROXY - NO SDK REWRITE

Turn your API calls into a model you own.

Point your OpenAI and Anthropic calls at Kolm - your SDK stays exactly as it is. Kolm captures the behavior you already use, compiles it 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.

Capture from the tools you already use Run on the hardware you already have Every model signed, verify it yourself Export it anytime - no lock-in
intercept · drop-in proxycapturing
First-screen platform media: unchanged SDK traffic passes through the kolm intercept, capture happens off the wire, and a signed behavior.kolm artifact carries model, recipe, evals, and receipt.
REG-04 claims-redactor.kolm TOL ±0.2 · v3.3
Source
prod-ai-loop
Targets
5runtimes
Release gate
passed
Signature
sha256:a1f0...
In spec

Running today

17sources you can capture from
12ways your calls come in
10ways to export what you own
8steps from live calls to a model

What you get

Everything between your live calls and a model you run.

Most tools stop at a demo, a dashboard, or a gateway. Kolm carries the whole job - capture your behavior, set the rules, test it, compile it, run it anywhere, and hand you proof.

Capture

Capture how you actually use the API.

Point your traffic at Kolm and it records the calls you make - structured, messy, or unknown alike. Where each capture came from, its source hash, environment, and retention window travel with it, ready to open on any record later.

Set the rules

Decide what's reusable before it's reused.

Redact sensitive fields, set data boundaries, scope exports, cap budgets, and purge what you don't want. Every captured call passes through a policy gate (a single checkpoint your rules run at)A policy gate is the one checkpoint every captured call must pass before it can be reused. Your redaction, retention, and export rules run there, so nothing becomes training or eval material until it clears the rules you set. before it can become training or eval material.

Test the behavior

Turn your edge cases into release gates.

Labels, regressions, and failures become evals with thresholds and owners - and they block a release until the behavior you care about passes.

Compile the model

Compile it into one portable file.

Your behavior and its eval constraints compile into a single artifact - model, manifest, checksums, runtime target, and a receipt anyone can verify.

Run it anywhere

Run it on the hardware you already have.

Hosted, local, your private cloud, edge, offline, or a restricted fleet - pick the smallest runtime that fits, with the limits shown up front.

Take the proof

Walk away with proof you can hand to anyone.

Receipts, eval reports, audit events, warehouse exports, webhooks, and CI status - all carrying the same IDs, so your trust story holds up when someone checks it.

Stay in control

Run it your way, with the controls you expect.

Manage API keys, roles, environments, provider policy, cost and rate limits, retention, and export destinations - and see connector health at a glance.

Connect everything

Plug into the pipelines you already run.

Inbound APIs, webhooks, streams, batches, queues, object storage, warehouses, and CLI imports come in; signed artifacts and proof go out.

The data boundary

Where your data crosses, and where it cannot.

Every captured call enters one workspace, passes the policy gate once, and only then reaches your dataset, evals, compile, and exports. Nothing crosses the tenant perimeter, and nothing skips the gate.

DATA BOUNDARY / TENANT PERIMETERlive
Intake

Live calls in

Takes your live calls in as raw records, each tagged with source and timestamp.

raw recordsource + timestamp
Policy gate

The one checkpoint

Redaction, retention, and export scope run here before anything moves on. Nothing skips the gate.

redaction + scopeapplied
Dataset

Cleared records only

Only ever sees records that already cleared the gate.

governedtenant-scoped
Evals

Graded behind the gate

Only ever sees records that already cleared the gate.

gradedbehind perimeter
Compile

Built behind the gate

Only ever sees records that already cleared the gate.

one .kolminside perimeter
Export

Leaves with scope only

Leaves the perimeter only with the scope the gate allowed, carrying its own receipt.

scoped+ receipt
  1. 01Intake takes your live calls in as raw records, each tagged with source and timestamp.
  2. 02Policy gate is the one checkpoint. Redaction, retention, and export scope run here before anything moves on.
  3. 03Dataset, evals, compile only ever see records that already cleared the gate.
  4. 04Export leaves the perimeter only with the scope the gate allowed, carrying its own receipt.
PERIMETER nothing crosses, nothing skips the gate enforced

The artifact

What comes out is one file, and it is yours.

Compile produces a single signed .kolm model: your distilled behavior, the exact build recipe, the eval gates it cleared, and a receipt. Plain terms, no jargon - and the full layout lives in the .kolm spec.

THE ARTIFACT / claims-redactor.kolmlive
Yours

You own it outright

The .kolm model is data you hold, not a subscription. Export it any time and run it with no provider to call and no per-token bill - own the AI you're renting.

Signed

Ed25519 signed, end to end

Model, recipe, evals, and receipt are bound under one signature with sha256 checksums. Anyone can verify it offline without trusting us or being online.

Portable

Runs on the hardware that fits

One artifact, many targets. The same file moves from laptop to edge to server with its IDs and receipts intact - see the ranked runtime targets.

ONE FILE yours, signed, portable verified

Capture

Start capturing in minutes - no rewrite.

Point one production workflow at Kolm and it starts recording the behavior you already run. You set up the workspace, key, connector, and retention rules once; from then on, every call you make is captured cleanly and ready to reuse.

  • Capture provider logs, app events, agent traces, spans, warehouse rows, and custom records - all in one place
  • Know where every capture came from: source hash, environment, and retention window travel with it
  • Bring structured, messy, or unknown inputs - Kolm holds them as-is, no schema required up front
capture · stream.kolmlive

Compile

Set the rules, test it, ship one portable file.

Redact sensitive fields, set data boundaries, scope exports, and cap budgets before anything is reused. Then your edge cases earn their keep: labels, drift checks, thresholds, and locked regression sets decide whether the model is good enough to ship.

  • Compile produces a signed model, manifest, target recipe, checksum, and a receipt anyone can verify
  • Every rule you set stays attached downstream; anything unmapped stays untouched until you classify it
  • Nothing ships until your evals and protected cases pass - the gate has the final say
INSIDE A .KOLM / EXPLODED VIEWlive
FOUR LAYERS one signature verified

Compose

Every claim traces back to something you can open.

Every capture, rule, eval, compile, runtime, and export is a real record you can query - pull up any claim and see exactly what backs it and where it came from. Every record is tenant-scoped (walled off to one workspace)A tenant is one isolated workspace, usually one team or customer. Tenant-scoped means a record belongs to exactly one tenant and is never visible to, or mixed with, another. One team's captures cannot leak into another team's datasets., so one team's data never bleeds into another's.

  • Your account · organization, workspace, project, environment, key, service account, connector, role, policy, owner
  • Your behavior · source, capture, trace, prompt/tool/schema version, dataset, label set, eval, failure, regression set
  • Your model · compile run, artifact, manifest, checksum, runtime target, target recipe, verifier receipt, approval, release gate
OBJECT MODEL · queryable
account objects 10
behavior objects 11
compiler objects 9
evidence objects 8
Queryableopen any record and see what backs it

Deploy

Run it anywhere, then take the proof with you.

Deploy to hosted, local, your private cloud, edge, offline, or a restricted fleet - each with its compatibility and limits shown up front. Then the proof leaves with you: receipts, eval reports, webhooks, warehouse exports, and CI status all carry the same IDs, so any team can trace a model end to end from its own tools.

  • Every place you can run it shows its compatibility, limits, and verification status before you commit
  • Receipts, audit events, and proof bundles are yours to export and hand to anyone who asks
  • Move a model between targets without rebuilding - the same artifact, IDs, and receipts carry across every runtime
runtime · claims-redactor.kolmfit

Connects to your stack

Works with the tools you already run.

Capture from where your behavior already lives, take in calls the way you already send them, and export what you own in the format your team uses.

Capture from · 17

17 sources you can capture from

Provider logs, application events, gateway records, agent tool calls, observability spans, eval data, human labels, product analytics, warehouses, CI/CD, repositories, support tools, GRC systems, files, runtime telemetry, cost events, and customer-system actions.

See integrations →

Calls in · 12

12 ways your calls come in

REST, GraphQL, gRPC, webhooks, streaming, batch files, object storage, warehouse queries, queues, browser events, local CLI, and custom adapter manifests.

Get an API key →

Take it out · 10

10 ways to export what you own

Signed model, verifier receipt, eval report, proof bundle, JSON API, warehouse export, webhook, CI status, SIEM/GRC event, and admin analytics.

Read the API reference →

Live calls to model · 8

8 steps from live calls to a model

Register a source, capture a call, classify it, redact what's sensitive, build an eval, lock a regression set, compile the model, and export your proof.

What you can rely on

Rules that hold up when you check our work.

These are the guarantees behind every capture, model, and export - the kind of detail that decides whether your security and platform teams trust what you ship.

Guarantee · audit

Nothing happens off the record.

Every change leaves an audit trail you can query and export: what changed, who did it, where, under which policy, and exactly when.

Guarantee · proof

Every claim comes with proof.

Models, receipts, reports, and exports each carry their source hashes, output hashes, versions, and owner - anyone can re-verify a claim independently, on their own machine.

Guarantee · exports

You can see where your data goes.

Every export records its destination, what was sent, the policy that scoped it, delivery status, checksum, and who received it.

Guarantee · sensitive data

Sensitive data isn't reused by accident.

Anything unmapped or sensitive is held with its provenance and retention controls - it never gets pulled into a reusable dataset until you classify it.

Guarantee · claim ledger

Every public claim has a record behind it.

Benchmark, certification, package, partner, standards, and adoption claims each resolve to a queryable record with its own source, status, and proof you can open.

Guarantee · where it runs

You always know what a runtime can do.

Hosted, local, your private cloud, edge, offline, or a restricted fleet - each one shows its compatibility, limits, and verification status before you commit.

How Kolm is different

The other tools stop short of a model you own.

An agent, a gateway, an eval dashboard, or a fine-tuning service each does one piece. Kolm carries your behavior all the way to a portable model on your hardware - with proof.

If you already useHere's what Kolm addsWhat you keep
agent toolsAgents get the task done; Kolm captures what they did, gates the failures, and compiles it into a model you can run again cheaply - not just one-off automation.compare
observabilityDashboards explain your behavior. Kolm compiles it into a portable model you own, tested and signed - not just a chart of what happened.a model
model gatewaysRouting trims the bill per call. Kolm ends the rent entirely - once your behavior is captured, you run it yourself with no provider to pay.ownership
eval toolsScores tell you how you're doing. Kolm makes them block a bad release and ship a receipt - your tests gate what goes out.a gate
fine-tuningFine-tuning ties you to one provider. Kolm's model, manifest, target, and receipt move with you - switch providers or hardware and it still runs.no lock-in

Ready to own what you're renting?

Start with one workflow: capture it, compile it into one signed .kolm model, and run it on your own hardware. Prove it works on one before you scale it across all of them.