ORIONFOLDReceipts
The proof, not the pitch.
We do not ask you to trust us. We lock the test before we train, publish the receipts, and let you rerun them. Here is what one desk can prove. Open source, offline, and it runs on the machine in front of you. Rerun anything on this page yourself.
pip install orionfold-proofthenorionfold up Every star, rerunnable
Every ★ has a frozen test you can rerun.
We write the hard test and lock it before we train, so we cannot cheat. A ★ means we proved it and published the receipts, and it links to the page where you can check our numbers. The rest of the marks read like this:
- ★ proved on a locked test
- ● yes, strong
- ◐ possible, not guaranteed
- ○ not built for it
★ Click a row with a star to open its receipt, the frozen test you can rerun.
| What it can do | Advisor 4B · ours | Kepler 8B · ours | Patent 8B · ours | Qwen3 8B · base | Llama 3.3 70B · base | DeepSeek-R1 base |
|---|---|---|---|---|---|---|
| Runs offline on a desk box | ● | ● | ● | ● | ◐ | ◐ |
| Answers from your own documents | ★ | ○ | ◐ | ◐ | ◐ | ◐ |
| Gives exact source citations | ★ | ○ | ★ | ◐ | ◐ | ◐ |
| Refuses cleanly, no made-up answers | ★ | ○ | ◐ | ◐ | ◐ | ◐ |
| Calls tools, takes actions | ◐ | ○ | ○ | ● | ● | ● |
| Shows step-by-step reasoning | ○ | ★ | ★ | ◐ | ○ | ● |
| Returns one checkable number | ○ | ★ | ○ | ◐ | ◐ | ◐ |
| Checks its own memory quality | ★ | ○ | ○ | ○ | ○ | ○ |
Base-model marks (Qwen3, Llama, DeepSeek-R1) are general, vendor-documented capability, not our measurement. Only the ★ cells come with a frozen test anyone can rerun.
Typing speed, words a second
A model on your own desk keeps pace with the big hosted ones.
Our Advisor (4B)
your own desk, fully private
DeepSeek V4 Pro
hosted in the cloud
Claude Opus 4.7
hosted in the cloud
GPT-5.4
hosted in the cloud
Straight talk. Those big hosted models are far smarter than our small one, and some speed-chip services are faster still. The WOW is the dead heat on raw typing speed from a model on your own desk that never sends your data out.
What Orionfold Proof does
What Orionfold Proof does
The tool behind these receipts
Orionfold Proof runs on your own machine. You point it at your own task, run the AI models or setups you are weighing, and it hands back a signed receipt. It says which one won, at what cost, with what failures. One command to install, a cockpit in your browser, and you are proving in minutes. Nothing phones home.
How it works
- Step 1 Configure task + candidates Point Proof at your own task. Pick the models or setups you are weighing, local or cloud, and the rubric to score them by.
- Step 2 Run local, row by row Proof runs every candidate on your machine, row by row, with a live rail showing the host, the runtime, and the result as it lands. Nothing leaves your desk.
- Step 3 Decide a signed receipt You get a clear winner, a leaderboard with cost and speed, the failures laid out, and a signed receipt you can rerun any time.
Inside the cockpit
Your datasets
Bring your own task rows. Proof scores against the answers you decide are right.
Any candidate
Local models through Ollama or cloud models through their API, side by side in one run.
Signed receipts
Every run exports a receipt as Markdown, HTML, or JSON. Same inputs, same receipt, every time.
The flagship proof
Reproduce a published model result on your own laptop, turnkey
We took our Advisor 4B model and ran its governance bench again, this time on an Apple M3 Max
laptop instead of the lab box. It scored 18 of 21,
matching the published baseline answer for answer. The same 9 of 9 refusals, and the same 3
misses. It cost $0.00 because it ran fully local. Every
line of that is in the receipt, down to the config hash
552d0060f782.
It does not hide the losses. The result misses 3 of the 21 and shows exactly which checks failed and why. A trust tool that only ever shows a perfect score is the one you should not trust.
Pick your
path.
The same locked-test-and-receipt loop serves the builder proving a model on their desk and the regulated team that has to hand a reviewer something they can check.
For builders
Benchmark the models on your own desk, offline, in minutes.
- Run local and cloud models against the same locked test.
- Read one scored receipt. See which passed, which refused, which made things up.
- No account, no per-word bill. It runs on the machine in front of you.
For regulated teams
Produce an audit-ready receipt your risk team can rerun.
- Every run writes a signed receipt with the exact test, the models, and the scores.
- The same config hash reproduces the same result, so a reviewer can check it independently.
- Nothing leaves your machine. Prompts and data never reach us or any vendor you did not choose.
Prove it on your own machine
Own the tool behind these receipts.
Orionfold Proof runs on your own machine and hands back a signed receipt you can rerun. Owning it unlocks every pack it ships with, starting with the Advisor governance pack.
Our number, next to
the world it beats.
Each one links the receipt with the locked test and the run, so you can check it.
- 2 cents An overnight labOur desk box ran 50 AI experiments by itself in 73 minutes, on about 2 cents of electricity. The same loop on rented cloud chips runs to dollars, plus a fee for every word. And ours never sends your data out.See the work →
- 4B beats 30B Small out-trusts bigOn a hard locked test, our 4B Advisor scored 18 of 21. A model eight times bigger scored 8 of 21 and made up 3 fake answers. Advisor refused all 9 trick questions and leaked zero secrets.See the work →
- 76% faster Same model, same chipA special 4-bit mode made the same model run 76% faster, 38.8 words a second up from 22.1, on a fraction of the memory. Less memory means more room for everything else on the one box.See the work →
- $1 guards $1,679 A cheap wind tunnelBefore booking a big cloud training run, we test the design on the desk first. A $1 test on the box gates about $1,679 of expected loss. One wrong booking it stops pays for the whole box.See the work →
Six things almost
everyone assumes.
Each one, next to the receipt from our own desk that breaks it.
Real AI needs the cloud.We ran 50 experiments overnight for 2 cents, all on a desk.Failure is expensive, so play it safe.On the box, a failed try costs a fraction of a penny. So we let the machine fail 42 times out of 50, on purpose.Better answers come from a smarter model.Our biggest jump came from the ranker, which notes to read first, not the model. Answer quality went from 3.30 to 4.27 out of 5.A small box can't beat a managed service.Dropping to a 4-bit mode made our box 76% faster than the convenient default.Bigger models are always safer to trust.Our 4B out-trusts a 30B, 18 of 21 versus 8 of 21, and only the big one made up answers.
The story behind
each receipt.
The test we locked, the run, and what we found. Each one is a thing you can rerun yourself.
- Field note The fix that changed the leaderboardI found two honesty bugs in my own product and fixed both the same day. Then I reran the three-way governance bench on the fixed code. A four-billion-parameter model on my laptop scored highest, the famous frontier model came last, and the cost column finally told the truth. Here is the whole receipt, bugs and all.Read →
- Field note A 4B model scored 18 out of 21 on my laptopA published governance benchmark, run on a four-billion-parameter model, on an Apple laptop, for nothing. It refused all nine trick questions, matched the big-iron baseline answer for answer, and missed the same three. Here is the whole receipt.Read →
- Field note Same input, same receiptA benchmark you cannot rerun is a rumor. Every Proof Receipt carries a config hash, twelve characters that reproduce the whole run to the byte. Here is what that small string actually buys you, and why I built the product around it.Read →
- Field note The famous model didn't winI put a four-billion-parameter model that runs on my laptop in a head-to-head with Claude Opus and a frontier GLM, on a governance task, scored by a machine. The small local one won, for nothing, and faster. Here is the whole receipt, including the part where the scorer was too harsh.Read →
The questions
your risk team asks.
Proof runs on your own machine, holds none of your data, and keeps working even if we do not. Each answer links the page that shows the code behind it.
Does Proof send our prompts or data to you?
No. Proof runs on your own machine. Your prompts, your test data, and your results stay there. AI work runs through your own model accounts, not ours. We run no service in the middle, so there is nothing for us to see and nothing for us to hold. See every network call
Can I run it fully offline, air-gapped?
Yes. Point Proof at local models and it never needs the internet to run a test. The one time it reaches out is the checked, one-time download of the tool itself. After that, you can pull the plug and it keeps working. Read the security packet
What if you disappear? Do my receipts still verify?
Yes. The tool is open source and your receipts are plain files with the test, the config hash, and the scores baked in. Anyone can rerun the same config and reach the same result, with or without us. The honest edge cases are written down too. Read the continuity note
Can my risk team rerun this independently?
That is the whole point. A receipt names the exact test and the models it ran. Hand it to a reviewer, they install Proof, run the same config, and get the same numbers. A benchmark you cannot rerun is a rumor. This one you can. See the supply chain
Prove it yourself, on your own machine
Get Orionfold Proof
Orionfold Proof is the tool behind these receipts. It runs on your own machine, points at your own task, and tries each AI model or setup you are weighing. It scores them on a rubric you set and hands back a signed receipt. It says which one won, at what cost, with what failures. Nothing leaves your machine, and you can rerun the proof any time.
Install it in one command, open the cockpit in your browser, and you are proving in minutes. Owning Orionfold Proof unlocks every pack that ships with it, starting with the Advisor governance pack. Rerun our headline receipt, a 4B model that out-trusts a much bigger one, on your own desk.
$349 founding, first 25 licenses
then $499 one time, 12-month window included
After the first year, $149/yr keeps it proven. You get new packs, new checks, and a fresh receipt. Skip it and your copy keeps working, you just stop getting new proof.
The Orionfold line · Flow leads
Not ready to buy? Get the proof guide.
The one-page guide to locking a test, running it on your own desk, and reading the receipts. Plus a note when we publish new proof.
Orionfold Proof
Proof you can rerun. An AI team you can own.
The receipts are the reason to believe. The payoff is a private AI team that runs on the Spark you already own, with no cloud account and no per-word bills.
Orionfold Proof