Keenoble · the flagship
You don't pick the model. That's the whole idea.
Chat, Preview and Code over one shared memory, with every prompt routed across a 335-model library — counted, not rounded — to whatever the evidence ranks best for that particular question. Plus live tools no chatbot alone can offer: web, market data, weather, news, cited on the receipt.
01 · Chat
Where ideas form. Smart-routed across the full library — the router picks in milliseconds and you never choose a model from a dropdown.
02 · Preview
Where an idea becomes something you can look at. Live, deployed, and already holding the context you set in Chat.
03 · Code
Where you get surgical. Repo-connected, working from the same project memory rather than from a pasted snippet.
01 / 05
What's the capital of France?
→ speed · closed-book fact
The cheapest lane that can be right is the right lane.
Ruled out
- claude-opus-5capable, and absurd for this — frontier price, no frontier need
- kimi-k2.6a 200k context window for eight words
- sonar-prosearch costs a round trip to learn something already known
02 / 05
Tesla stock price?
→ live data · needs a source, not a memory
A model would have guessed. A tool call knew, and charged nothing.
Ruled out
- gpt-oss-120bwould answer confidently from stale training data
- sonar-prowould find it, and bill for the search
- claude-opus-5the most expensive way to be out of date
03 / 05
Generate a TypeScript type for this JSON
→ code · structured output, small scope
Specialist beats generalist when the task has a right answer.
Ruled out
- deepseek-v4-prothe deep code tier, for a job that isn't deep
- llama-3.1-8bfast enough, not reliable enough on exact syntax
- claude-opus-515× the cost to produce the same interface
04 / 05
Summarise this 200-page document
→ long context · the whole thing has to fit
Sometimes the constraint is the window, not the intelligence.
Ruled out
- gemini-3.6-flashcheap, and would have to read it in pieces
- kimi-k2.7-codewrong specialist — this is prose, not a repo
- groq llama-3.3the fast lane cannot hold the document
05 / 05
Analyse our Q3 strategy tradeoffs
→ deep reasoning · multi-step, no single right answer
This is what the frontier is for. It gets used, and it gets billed.
Ruled out
- gemini-3.6-flashwould produce something fluent and shallow
- deepseek-v4-proexcellent at code, not the tier for this
- groq llama-3.3speed is not the scarce resource here
Five representative routing decisions, replayed — not a live feed and not a captured incident log. Figures are the dated snapshot in our scripted replay (2026-08-08). Candidates are ruled out in words because we have not published per-model scores for these prompts, and we are not going to invent some to make the panel look busier.
Memory
Say it once, in any room.
A project is a folder of linked memory nodes — an index map, decisions, preferences, constraints, files. Chat writes to it, Preview reads from it, Code reasons over it. Retrieval follows a path to the two or three nodes that matter instead of shovelling the whole history back into a context window. Pick a room.
Retrieval is a path to two or three nodes, not a dump of the whole memory — that is the difference between shared memory and stuffing a context window, and it is why the receipt says 0.4k tokens instead of 42k. Sample project, drawn to show the mechanism.
Receipts
Every answer tells you what it cost and why.
Model, latency, price, and the reason that model was chosen — attached to the answer, not buried in a usage dashboard you have to go and find. If a run fails its gate, it doesn't bill.
“What's the capital of France?”
- routed to
- Groq Llama 3.3
- because
- speed
- latency
- 84ms
- charged
- 0.1 sp
Smallest lane that can be right. Nothing was gained by spending more.
“Tesla stock price?”
- routed to
- finnhub · tool call
- because
- live data
- latency
- 142ms
- charged
- 0 sp
A tool call, not a model. Nothing to bill, so nothing was billed.
“Generate a TypeScript type for this JSON”
- routed to
- Kimi K2.7-Code
- because
- code
- latency
- 260ms
- charged
- 0.4 sp
Code specialist. Cheaper and better than the frontier at this exact job.
“Analyse our Q3 strategy tradeoffs”
- routed to
- Claude Opus 5
- because
- deep reasoning
- latency
- 2.1s
- charged
- 3.8 sp
The frontier, earned. This is the receipt you should see least often.
Every answer the platform returns carries one of these. The four above are samples built from our dated method table (2026-08-08) — real mechanism, illustrative contents. We are not going to paste a customer's prompt on a marketing page to prove we log it.
Compare
Three honest ways to buy AI.
Every cell below describes how an approach is built, not how well it performs — we have not published a head-to-head benchmark, so nothing here claims one. Two of the rows go against us.
| One frontier subscription | Your own API keys | Keenoble | |
|---|---|---|---|
| Which models you can reach | One vendor's line-up | Anything you wire yourself | 335 measured, 12+ in rotation |
| Who picks the model per prompt | The vendor — it only sells one | You, every time | The router, on evidence |
| What a greeting costs | Frontier rates, or a quota | Whatever you chose to call | The cheapest lane that can be right |
| Memory across chat, preview and code | Per-product, if at all | Whatever you build | One project memory, three surfaces |
| Live data (markets, web, weather) | Sometimes, opaquely | Another integration to own | Tool calls, cited on the receipt |
| Receipt under every answer | No | Your own logs, if you wrote them | Model, latency, price — always |
| Incentive to rank models honestly | None — the rival is the competitor | Yours, and it's your time | It's the business model |
| Published head-to-head benchmark | Vendor's own, on vendor's tasks | None unless you run it | Yes — 54 models, 11 domains, published in full. Ours, not independent |
| Track record you can check | Years of it | n/a | Months, and one published audit |
Model vendors sell one model each — ranking a rival honestly means losing a customer to it. Keen Labs buys every model, so honest ranking is the business rather than a threat to it. That is a structural argument, not a result; the method and the dated benchmark example are on /research.
Honest limits
Six reasons you might not want this yet.
Everything above is the argument for Keenoble. This is the cost of admission, stated by us, before you find it yourself.
No published head-to-head benchmark. Not one.
We say the router picks on evidence, and the qualification sweep that produces public, same-test results has not published yet. Until it does, the routing table you see on this site is a dated snapshot of representative decisions — labelled as such everywhere it appears.
Our autonomous workforce is paused, by us.
It reported success it had not earned for three months. We caught it, stopped it, and published the whole thing rather than quietly patching it. Read the audit. It is the least flattering document on this website and the main reason to believe anything else on it.
Keenoble has 0 paying customers.
Active since 2026-05, used daily by its builder, and not yet validated by anyone's money. If a logo wall is what you need before you try something, this is not that.
Pro is not shipped. Neither is media generation.
Pro is designed and unreleased — pricing not announced. Image, video and music models are catalogued in the lab and will arrive as credit add-ons. Both are on the site as coming, and neither is counted in anything we claim today.
Two of the four memory layers are drawings.
Working memory and project memory are shipped and are what the map on this page animates. Source memory and mission memory are designed — the map draws them dashed and says so, because a roadmap rendered in the same ink as a feature is a lie with good typography.
We will not show you the routing config.
We publish findings and method; we do not publish the live routing rules. That is a deliberate limit on how far you can verify us from outside, and pretending otherwise would be its own dishonesty. The findings are the pitch; the config is the moat.
Pilot · five seats
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