Inside the business
- Account list
- Evidence gathering
- Proposed changes
- Owner approves
- CRM and brief updated
One workflow, carried all the way through.
Pyranthus builds AI systems that carry real work inside your business. We connect the tools, gather the evidence, pause for approval, and leave a record your team can inspect.
Bring us a workflowStep 1 of 5: asking what was actually decided in the meeting.
- What did we actually decide in the meeting?
- Checking 436 claims against the recording.
- Corrections proposed: 4 attributions corrected, 2 entries struck.
- Waiting for you to review the corrections.
- Decisions on record: corrections applied, false claim removed, evidence saved.
Bring us one repeated workflow.
Tell us what repeats, who owns it, and where it breaks.
Start the intake
A short form, then book 20 minutes directly.
Where Pyranthus carries the work.
The system works inside the tools already in use. It collects what it needs, makes proposed work visible, and stops at a meaningful decision.
AI search and commerce
A supporting capability: product information made usable where AI assistants answer and recommend. It is not another storefront.
- Product data
- AI answer
- Recommendation
- Checkout
Evidence you can inspect.
Verification pattern · illustrative
The same break must turn the gate red.
A test suite can stay green while a safeguard is missing. The verifier must fail closed, reproduce the same break, and save the evidence before release.
- Disconnect one safeguard
- Confirm the verifier turns red
- Repair the safeguard
- Rerun the same check
- Save the evidence
Mora
Open-source under the Apache-2.0 license. A local memory system for useful context and open loops.
Open the Mora repository
Your AI System Is Most Dangerous When Every Test Passes
An essay about verification: what tests miss, where a system must stop, and why a passing suite is not the same as a safe release.
Read the essay