There is no AI
without data.
OctoMesh makes your data AI-ready — machine signals, meters and documents alike, from raw value to digital twin to the agent that understands it. Model, refine, serve: one platform instead of a Frankenstack.
Frankenstack /ˈfɹæŋkənstæk/ — Frankenstein + stack. A data architecture stitched together from tools that were never meant to fit. It works. Until it doesn't.
Model once. Serve everywhere.
Your domain knowledge becomes a typed, versioned Construction Kit — a digital twin of your machines, sites, documents and processes. That one model powers every consumer at the same time:
Dashboards
Meshboards visualize live and historical data straight from the model — no BI glue layer.
Applications
Custom web apps ship as blueprints and deploy to any tenant with one command.
GraphQL API
Every type, association and time series is queryable the moment you model it.
AI agents
Agents read the same governed model via MCP — with real identity, roles and audit.
Other platforms bolt AI on.
OctoMesh gives agents a governed home.
Running in production today — not a roadmap slide.
Agent Access
MCPClaude & Co. operate OctoMesh directly — explore the data model, query instances, administer tenants. 180+ tools, secured by OAuth, roles and delegation.
AI Pipelines
ETL + LLMLLM steps as pipeline nodes: understand documents, classify data, match records — under a traceable identity instead of a shadow admin.
Semantic Model
CONSTRUCTION KITSYour domain knowledge as a typed, versioned model — the context agents need to understand data, not just read it.
Governed Autonomy
IDENTITY + AUDITEvery agent action runs under a real identity with fine-grained data permissions and a full audit trail — AI without losing control.
From sensor to agent — in four steps.
Edge & adapters
Connectors for OPC UA, MQTT, files and REST APIs — managed by a Kubernetes operator, scaling to zero when idle.
Construction Kits
Types, associations and enums as a versioned semantic model — your digital twin, designed in Refinery Studio.
Pipelines & archives
Declarative data flows transform, match and enrich; time-series archives keep every measurement queryable.
APIs, apps & agents
GraphQL, dashboards, custom apps and MCP for AI agents — all speaking the same governed model.
Built for people
who build.
Guides for users, operators and developers, a full API reference and a 5-minute quick start. Model with the Studio, automate with octo-cli, ship as blueprints — and let your AI assistant do the routine work via MCP.
30+ products run on OctoMesh — here are three.
OctoMesh Energy
PV, storage and loads connected to one smart energy system — forecasts, day-ahead prices, automatic optimization, peak shaving.
energy.meshmakers.io →BelegCockpit
AI-assisted accounting: documents understood, transactions matched, bank feeds reconciled — receipts to reports, automatically.
accounting.meshmakers.io →Cyber Resilience
CRA compliance for product makers — structured evidence, assessments and reporting on a governed data platform.
cyber.meshmakers.io →Your prototype runs.
Nobody dares to deploy it.
Cursor delivered. Claude delivered. What's missing: someone who takes AI-generated code to production grade — before your first real user finds the gaps. Audit, refactoring, hardening: by the team that runs OctoMesh in production.
Ready to refine your data?
Start in five minutes, or let us walk you through the platform on your own use case.