Vertical · the scaling channel
The purest expression of the daXos thesis.
Your software and AI agents are only as good as the physical-world data they ingest — and OBD-coarse, siloed telematics is not up to the task.
daXos is the MCP-native, multi-flow substrate; these platforms are the action layer on top.
TMS / ERP / WMS integrators, fleet-software vendors, and MCP-native AI-agent platforms building autonomous workflows.
Where telematics data is good, AI risk models already cut claims ~24% and automate ~78% of underwriting.
Certified integration + co-sell, and a possible white-label feed — the strategic channel and the Seed-stage scaling engine.
Partners lack a unique physical-world data edge. daXos gives them one — multi-flow, OBD-free, MCP-native — so their agents can act, not just describe. The model is fine; the data is wrong. daXos fixes the input.
| For the platform / agent | OBD / GPS feeds | daXos |
|---|---|---|
| Input data quality | ✕ coarse, context-free | ✓ multi-flow, high-res |
| Integration burden | ✕ bespoke per-telematics API | ✓ one MCP-ready API |
| Act on physical-world events | ✕ describe only | ✓ cargo/driver/env context |
| Differentiated data edge | ✕ same as everyone | ✓ unique physical-world layer |
| Edge / offline autonomy | ✕ cloud-dependent | ✓ local agentic functions |
Source: daXos Industry Study (Full · Rev. 2), June 2026. Market signals are external estimates cited within that study.
A partner / API-console view — feed health, flows ingested, agent actions — is in build. Want to co-build against a live daXos feed? Become a design partner.