Research Lab

The work behind owning the AI you rent.

This is how we build Kolm: take your live OpenAI and Anthropic calls, compile them into a signed model you run on your own hardware. Every research pass here ends as something you can use - a control you can open, a route you can call, a test that holds, or a proof you can check yourself.

17 customer clusters mapped 17 channel families covered 11 product standards we hold What ships vs. what's coming, stated plainly
REG-LAB evidence-to-product.kolm OPEN · v3.3
Clusters
17mapped
Standards
11we hold
Streams
6research passes
Shipped
8stated plainly
In spec

What we've mapped

17customer clusters mapped
17channel families covered
11product standards we hold
8shipped vs. coming, stated plainly

Research streams

Research that ships, not research that sits.

We don't collect notes. We turn what we learn from the market and from customers into the controls, APIs, pages, and tests that make owning your model real.

MAPPED / COUNTS BEHIND THE LABlive
17clusters 17channels 11standards 8shipped
COUNTS 17 clusters, 17 channels, 11 standards, 8 shipped stated plainly
EFFORT / HARDENED INTO PRODUCTthis cycle
  • Customer stack82%
  • Backend94%
  • API control78%
  • Website audit66%
  • UI audit71%
BACKEND leads at 94% data holds first
Customer stack

17 clusters we build for

Agent platforms, model gateways, eval suites, observability, training, data infrastructure, GRC, developer tools, runtimes, vertical AI, and workflow products - the teams that pay the API bill.

Product standard

What a serious tool owes you

Controls you can open, admin your enterprise needs, docs that work, proof you can export, your data kept yours, usage you can read, and procurement that clears.

API control surface

Your data, in and out

Every source, channel, way in, way out, credential boundary, provider rule, and audit event has a named owner and a clear state - so you always know where your traffic goes.

Website audit

Show the machine, not adjectives

Every page has to show what goes in, the controls, what comes out, the proof, and your next move. "Powerful AI" isn't an answer.

Backend

We only claim what holds

Tenant boundaries, audit events, schema handling, compile state, export receipts, and artifact checksums decide what we say on the site - not the other way around.

UI audit

Checked on real screens

Desktop and mobile, verified by screenshot: stable spacing, readable density, no overlap, no sideways scroll, and the proof in view before you scroll.

Research passes

Every pass ends in something you can use.

We track each pass as a dated note, and each one resolves into a control you can open, a route you can call, a page, or a clear line on what ships today - never an idea left floating.

STREAM LEDGER / PASS TO SHIPPEDlive
  1. stream 06Checked on real screensui audit

    Desktop and mobile, verified by screenshot: stable spacing, readable density, no overlap, no sideways scroll.

  2. stream 05We only claim what holdsbackend

    Tenant boundaries, schema handling, compile state, export receipts, and artifact checksums decide what the site is allowed to say.

  3. stream 04Show the machine, not adjectiveswebsite audit

    Every page has to prove inputs, controls, outputs, proof, and your next move.

  4. stream 03Your data, in and outapi control

    Every source, way in, way out, credential boundary, and audit event gets a named owner and a visible state.

  5. stream 02What a serious tool owes youproduct standard

    Controls you can open, enterprise admin, proof you can export, usage you can read, and procurement that clears.

  6. stream 0117 clusters we build forcustomer stack

    Where capturing your calls and compiling them into a model fits between agents, gateways, evals, and your data.

EACH PASS resolves into shipped product never left floating

Where we fit

One job, done end to end: your calls become a model you own.

Your stack already has agents, connectors, workflow automation, model routing, evals, and enterprise controls. We do the one thing none of them do - turn the behavior you're already paying for into a signed model you run yourself.

agent tools

Capture what worked, ship it as a model

You need fast execution and demos. We capture what your agents actually do, catch failures, compile the behavior that holds, and hand you proof you can export.

model gateways

Stop routing the bill, own the model

You route providers to control cost. We go one step further: set the rules, test the behavior, compile it into a signed artifact with a receipt - so you run it instead of renting it.

provider
eval platforms

Evals that gate the release

You run test suites and scorecards. We make evals the gate that ships a model - with receipts, regression sets, and a clear runtime decision.

gate
observability

From what you watch to what you ship

You have logs, traces, dashboards, and alerts. We turn that live behavior into a signed, portable model - with proof anyone can check.

artifact
data and AI infra

A model that exports into your systems

You handle storage, lineage, serving, controls, and scale. We compile your behavior into one portable file that exports cleanly into all of it.

export

How research becomes product

A finding only counts when it ships.

An insight earns its keep the moment it changes a route, a schema, a page, a control, a test, a screenshot, or what we're willing to claim. Here's the path every one of them takes.

CAPTURE / stream.kolmlive
CAPTURE stream to governed, signed rows verified
Source

Where it starts

A customer ask, official docs, a market report, an internal spec, a screenshot, route output, or generated JSON.

Pattern

What it means

A control to build, a workflow to support, an enterprise must-have, a risk, a pricing move, a docs fix, or a gap to close.

What ships

What it becomes

A source, trace, dataset, eval, policy, compile run, artifact, runtime target, receipt, export, or audit event - something you can use.

Proof

How we prove it

A route test, a copy test, an OpenAPI object, a screenshot, a claim check, a ref lint, the artifact verifier, or a real browser pass.

What we've learned

Win the one thing nobody else owns.

Kolm doesn't need to look like every AI category. It needs to do one thing better than anyone: take your live API behavior and turn it into a signed model you run, with proof you can export.

own the layer that matters

Own the path from calls to a model

Agents execute, gateways route, evals score, observability watches, data platforms store. We own the one step between them: turning that behavior into a model you keep.

position
put you in control

One place to run the whole thing

The API control center shows your sources, provider rules, connector health, retention, eval gates, runtime targets, cost, usage, exports, and audit events - capture to deploy, in one view.

no rewrite to get in

Point the calls you already make

Bring traffic in the way you already send it: REST, GraphQL, gRPC, webhooks, streams, batch files, object storage, warehouses, queues, browser events, CLI, and adapter manifests.

take the proof with you

Proof you can export

Receipts, eval reports, evidence bundles, admin analytics, CI status, warehouse exports, webhooks, and SIEM/GRC events all leave the dashboard - the proof is yours to keep.

only claim what's true

What ships vs. what's coming, stated plainly

We say what's live today and mark what isn't. Certifications, benchmarks, packages, partners, and adoption numbers we can't yet stand behind stay clearly out of the copy.

What buyers ask

The questions your team will ask - answered straight.

Every buyer who evaluates Kolm gets a concrete answer here, not a positioning line.

platform

Will it connect to our systems?

Yes - sources, adapters, environments, API keys, quotas, runtime targets, and exports each have an owner and a state you can see.

connect
ai

Can we improve behavior without hiding risk?

Yes - traces, labels, evals, regressions, drift checks, compile runs, and gates are all open to inspection.

evaluate
security

Can we keep our boundaries?

Yes - redaction, unknown-schema handling, retention, purge, provider rules, and audit events are all spelled out.

protect
compliance

Can we get proof out?

Yes - receipts, evidence bundles, object versions, and export destinations are there to take with you.

prove
developer

Can we wire it up fast?

Yes - docs, OpenAPI, examples, error codes, local verification, and stable routes matter to us as much as the pitch.

build

Start owning what you rent

Own your first model from one captured source.

Start small: one source, one policy, one eval gate, one signed artifact, one runtime, one export. That's the whole path from your live calls to a model you run - proof you can check, no lock-in once you have it.