Useful products shaped around how people actually work.
Independent AI Studio The next is built
ARCHON
We design and build the models, agents, tools, and architecture that turn ambitious ideas into working systems.
Intelligence, by design.Scroll
01 The studio
Possibility is easy to imagine. Progress takes craft.
We bring strategy, engineering, and imagination together to make AI useful where it counts. From the first question to a working system, we build with purpose.
Explore our expertiseBlueprint to stone, as you scroll.
02 Capabilities
What we build.
Ideas become powerful when the thinking and the technology move together.
Connected systems that reason, act, and support real workflows.
Strong foundations for reliable AI, including locally hosted systems.
Clarity on where AI can make a meaningful difference.
Diagram · illustrative A tool panel, organised around the work.
03 Custom intelligence
CUSTOM AI. ANY INDUSTRY.
Built around your world
We design, train, and deploy custom models and agents around your data, workflows, and goals—wherever your industry operates.
- 01 / DESIGN
Define the right system.
Shape the model or agent around the problem worth solving.
- 02 / TRAIN
Make it yours.
Adapt intelligence to your domain, data, and standards.
- 03 / DEPLOY
Put it to work.
Bring it into the workflows where it can make a difference.
Try it: shape a curve, train a small model on it, deploy it.
Illustrative demo · a toy model trained in this tab. Not an Archon product.
- Step
- 0
- Loss (MSE)
- —
- Parameters
- 321
- Training time
- 0.00 s
Compute: this tab · main thread · at most 2.5 ms per frame
Your design, drawn as a blueprint arch.
Next: your AI, in your environmentLocal deployment / Private control
Your AI. In your environment.
We also build locally hosted models, agents, and systems that run on your own infrastructure.
The curve you shaped and the model you trained stay in this browser tab. This page doesn't send them anywhere.
A boundary you can push. The model inside stays put. A visual metaphor.
04 Point of view
MAKE WHAT'S NEXT REAL.
From a question worth asking to an AI system worth using. That's the work.
05 Our first product
Socrates
Evidence-grounded, teacher-approved learning intelligence.
Status Launching soon
From evidence to outcome, with the teacher deciding.
- objective
- evidence
- cited diagnosis
- teacher decision
- intervention
- activity
- reassessment
- outcome
- learning history, the Student Intelligence Card
cited diagnosis: A draft finding that cites its evidence.
1 · Evidence Objective: Compare fractions with unlike denominators
- E1 · Exit ticket · rec_ex_014 [STUDENT-A] wrote 1/4 > 1/3 because 4 is bigger than 3.
- E2 · Homework, question 3 · rec_ex_022 [STUDENT-A] ordered 1/6, 1/3, 1/2 from largest to smallest.
- E3 · Class discussion note · rec_ex_031 [STUDENT-A] said a fraction with a bigger bottom number is bigger.
Masking runs in your browser before the draft step. Only the processed text is used.
2 · Draft diagnosis DRAFT · not a conclusion
Compares fractions by the size of the denominator, treating a bigger denominator as a bigger fraction. [E1] [E2] [E3]
Pre-written example draft.
3 · Teacher decision
4 · Student Intelligence Card · [STUDENT-A]
- 08 Sep 2026 · Objective set: compare fractions with unlike denominators.
- 15 Sep 2026 · Approved: finds equivalent fractions using a fraction wall. Cites rec_ex_009.
- Record entries
- 2
- Record checksum
- —
Illustrative example · synthetic data
| Student | Current objective | Latest evidence | Status |
|---|---|---|---|
| S-01 | Compare fractions | Exit ticket | Draft awaiting review |
| S-02 | Compare fractions | Homework Q3 | Approved |
| S-03 | Equivalent fractions | Quiz 2 | Approved |
| S-04 | Compare fractions | — | Needs evidence |
| S-05 | Add fractions | Exit ticket | Draft awaiting review |
| S-06 | Equivalent fractions | Class note | Rejected · record unchanged |
Class priorities
- Compare fractions with unlike denominators (3 of 6 students)
- Explain reasoning with a diagram
- Secure equivalent fractions before adding
Year plan
Autumn: fractions · Spring: decimals · Summer: ratio
Weekly plan
Mon: fraction strips · Wed: number line · Fri: exit ticket
Teachers decide
Only teacher-approved diagnoses become conclusions. Drafts and rejected suggestions never change a student's record.
Every claim is cited
Each approved claim links to a short, redacted citation and its source record.
Private by design
Student names are masked before evidence is processed; raw evidence and prompts stay out of operational logs.
The whole class in view
Class-level priorities, plus year and weekly plans, sit alongside each student's history.
Sketch your system first
Describe a workflow you'd like AI to help with. The field draws a first sketch of it.
Example sketch · built from the blocks above
Data to reviewed result
Your data feeds a custom model; a person reviews the result before it is used.
Where it runs: not stated
Questions to bring to a first conversation
- What data do you already have, and who owns it?
- What should the model do well that general models don't?
- Who reviews the output, and what happens when they disagree?
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