Platforms
One layer.
Five industries.
The same thing every time: an AI and data layer on top of the systems a company already owns, turning what those systems recorded into a decision with the reasoning attached and a named person to approve it. What changes per industry is which systems, which decisions, and which rules the decisions have to survive.
Where we are
One is finished. Four are honest about not being.
An AI layer on the ERP and CRM a manufacturer already owns — forecasting, pricing, inventory, logistics, collections and the paperwork, each arriving as a recommended action with a named approver.
Read it › HealthcareComing soonThe same layer, built for providers and payers: capacity and staffing forecasts, revenue-cycle recovery, prior-authorisation and claims paperwork, and clinical operations reporting — inside HIPAA, with every automated action logged and reversible.
What it will do › FintechComing soonDecision intelligence for lenders, processors and finance teams: portfolio and collections prioritisation, fraud and anomaly review, model documentation, and the regulatory paperwork that follows every one of those decisions.
What it will do › LogisticsComing soonNetwork intelligence for carriers, brokers and 3PLs: load consolidation, lane and rate strategy, dock and detention control, and exception handling that proposes the reroute rather than reporting the miss.
What it will do › MarketingComing soonSpend and content intelligence for teams that have to prove a number: channel contribution after cost, creative and offer testing, lifecycle orchestration, and the AI-search visibility that now sits alongside classic SEO.
What it will do ›Your industry is not on the list.
That is not a no. The layer is not industry software — it is a way of joining systems that were never joined and putting a decision on the end of it, and the work is largely the same wherever the data lives. Tell us which systems you run and what decision keeps arriving too late.