Dployed is the forward-deployed team and platform that turns your data into a living ontology — then builds, runs, and improves the AI-native systems on top. We sell an outcome, not a software.
Our proprietary platform ingests your data, cleans it, and structures it into a single source of truth. Your business is then modeled as an ontology — on which we build analytics dashboards and AI-native systems to operate it.
Our engineers embed on-site to map, build, deploy, and maintain the applications that run on it.
One platform to bring your business together, run the work on top of it, and get sharper with every engagement.
We connect every system you already run — ERP, warehouse, spreadsheets — into one trusted model of your business. No data migration, no rip-and-replace.
Put dashboards, automation, and AI agents on top of your existing tools — modernizing legacy software, or replacing it on your own timeline.
The ontology is your company brain — it belongs to you, not to any model. Plug in whichever model fits each task to keep your AI budget in check and cut dependence on any single vendor.
Every system you run, federated into one model of your business — the single source everything else is built on.
A Dployed squad embeds inside your company and runs the engagement end to end — mapping, building, deploying, and maintaining on our platform. Two ways to work together.
FDEs work on-site with your operators — mapping data, building the ontology, and shipping the first workflows into production in weeks.
Dployed operates the platform and the systems on top of it — monitored, improved, and kept accountable to the outcomes we agreed.
More than 3,500 connectors and MCP, live on top of the tools you already run.
We work with companies from €50M to €1B in revenue.
Finance and inventory reconciled by hand across newly acquired entities, with no consolidated view of margin.
Hiring and onboarding spread across five disconnected systems, with manual texting that broke down at volume.
Client portfolios tracked in spreadsheets across offices. Monthly reporting took days, with no single view of assets under management.
weeks to first production workflow
EBITDA margin uplift, typical engagement
single source of truth, not ten dashboards
built on top of your existing systems
Illustrative ranges from typical mid-market engagements.