About · Company

We build the layer that makes enterprises legible to machines.

SenseMesh exists for one reason: enterprises are adopting AI agents faster than they are making their own information understandable. We close that gap with a governed intelligence layer between enterprise data and every agent that consumes it.

20+

Source types surveyed

1

Semantic layer of record

100%

Lineage-traced answers

0

Data copies required

01Position

An intelligence layer, not another dashboard

SenseMesh sits above the data estate and below the agent estate. It is the place where enterprise meaning is defined once and consumed everywhere.

Below usexisting investment
  • Warehouses and lakehouses
  • ERP, CRM, ITSM, HRIS
  • Document and content stores
  • Catalogs and quality tooling
SenseMeshintelligence layer
  • Discovery and profiling
  • Enterprise Meaning Graph
  • Semantic and governance layer
  • Agent-ready data products
Above usconsumers
  • Agent platforms and copilots
  • Internal LLM applications
  • Analysts and domain owners
  • Automation and orchestration

Agents do not fail because models are weak. They fail because the organisation was never described in a way a machine could reason over.

02Principles

How we build

Four commitments shape every decision in the platform.

01

Meaning before models

Model capability is no longer the constraint. Organisational understanding is. We invest in semantics, context and lineage rather than prompt theatre.

02

Governance is a feature, not a brake

Every definition, relationship and data product carries ownership, sensitivity classification and audit history from the moment it is created.

03

Work with the estate you already have

Warehouses, lakehouses, catalogs, ERP, CRM and document stores stay in place. SenseMesh adds the interpretive layer above them.

04

Readiness is measurable

Agent readiness is scored per domain — coverage, quality, governance, semantic completeness — so investment decisions stop being guesswork.

03Trajectory

Platform trajectory

SenseMesh was built in layers, each one dependent on the survey work beneath it.

Origin

Formed out of repeated enterprise findings: agents failed on context, not capability.

Phase I

Discovery and profiling engine across structured, semi-structured and document sources.

Phase II

Enterprise Meaning Graph and semantic layer with governed business definitions.

Phase III

Agent-ready data products, opportunity discovery and readiness scoring.

Now

Multi-tenant deployment with industry intelligence packs and assistant-first experience.

04Ecosystem

Relationship to OneCortex

OneCortex operates the agents. SenseMesh makes the enterprise understandable to them. The two are complementary layers of the same stack.

SenseMeshunderstanding

Surveys the estate, defines meaning, governs access and publishes agent-ready intelligence products with full lineage.

semantic layermeaning graphreadiness scoring
OneCortexexecution

Builds, orchestrates and runs enterprise agents that consume SenseMesh products instead of raw, ungoverned tables.

agent runtimeorchestrationworkflow actions

Joint deployment posture

Time to first agent72%
Context accuracy91%
Governance coverage86%