You rebranded from Autoket to Supply Veins last August because the real pain was the communication layer, not the catalog. The homepage says it plainly: live in minutes, not months. Four hours saved per day. A unified supplier communication system that sits alongside Sage, Microsoft 365, SAP, QAD.
We read the site, the PR Newswire release, and the Refresh Miami coverage of the original Autoket launch. We spent time with the product screenshots. What follows is a short, specific read on the stack question you will need to answer for a lead investor's technical partner inside the next six weeks.
Most teams putting AI into a product overestimate how much of the product is actually an AI problem. In our experience the split is closer to 60-30-10. Knowing which layer each piece of the product belongs on is the difference between a ten-minute onboarding claim that holds up and one that does not.
The 60 / 30 / 10 read, applied to Supply Veins
Where each piece of the product actually belongsThe shared supplier inbox is mostly a data-model and integration problem. Thread matching, PO linkage, ERP write-back into SAP or QAD. Almost entirely deterministic engineering.
Delivery-risk alerts sit here. SLA windows, acknowledgement timers, late-response thresholds. Rules running over structured data you already have from the ERP, not model calls.
Email triage and the thin interpretation layer over freeform supplier replies. That is a real AI job. The rest of the product should stop asking an LLM to do work a query can answer.
Workshop, onsite or remote
One working session with you and your CTO. We walk the current product surface, the email-to-ERP path, and the three claims on the homepage that your next investor will diligence first.
Advisory calls across four weeks
Short, specific calls against the open questions. Where the AI actually sits. Which ERP integration goes first. What the second co-founder's public story looks like by seed close.
Organizational Context Architecture
A structured map of supplier profiles, PO state, thread matching, and ERP mappings. Layered by the ICM pattern so a technical diligence partner can walk it in one meeting.
Strategic Operations Framework
How the product team and the go-to-market run against that architecture. Which claims to measure now, which to stop making until you have a named pilot logo behind them.
A scoped sprint with the CTO of a product company called Feeld.
Four weeks. Workshop plus advisory calls. The output was not a pitch deck. It was a structured map of where AI sat in their system and where it did not. The same shape of engagement maps cleanly onto what Supply Veins needs before the seed raise: a defensible read on the stack, documented clearly, that a lead investor's technical partner can walk through in one meeting.
Not a forced match. Product company, CTO buyer, an internal AI question that needed a structured answer. That is the Feeld trigger, explicitly.
- Delivered
- One workshop with the product and engineering leads
- Four weeks of advisory calls against open questions
- Organizational Context Architecture artifact
- Strategic Operations Framework
- Scoped sprint, value-based, no retainer
Our paper, "Interpretable Context Methodology: Folder Structure as Agent Architecture," is on the ACM TiiS track with a public repo. It gives you a citable framework for how to organize context across supplier profiles, PO state, and ERP mappings. Useful in a seed deck. More useful in the architecture.
Interpretable Context Methodology (ICM). Layered filesystem as agent architecture. Measurable interpretability and reproducibility gains. MIT licensed, 52-member practitioner community.
Repo: github.com/RinDig/Interpretable-Context-Methodology-ICM-
Matt Creamer is on the floor this week. He runs enterprise and partner development for Eduba.
Jake Van Clief, Eduba's founder, is a Marine Corps veteran (eight years, F-35 avionics, cryptographic systems) with an MSc in Future Governance from the University of Edinburgh. Jake and Matt built an online community to 22,000 members in five weeks.
Eduba partners with NLP Logix for work that sits below the orchestration layer. NLP Logix has been in machine learning since 2011 and runs over 150 data scientists. If Supply Veins decides to invest in a reference-grade certified ERP integration, that is where it would route.