Now deploying across FR & EU mid-marketBook an engagement →
Dployed
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[  Map your data. Build the ontology. Run the business.  ]

AI transformation,
but with ROI.

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.

Book a demo See the platform
6–10 wks
to first workflow
+3–7 pts
EBITDA uplift
1
source of truth
ontology.dployed
LIVE
DataOrdersSitesModelsTools ONTOLOGY
Asset Nº 731
RegionFR-14
Health89
[  In production across your stack  ]
SAPSAP SalesforceSalesforce SnowflakeSnowflake OracleOracle HubSpotHubSpot Microsoft 365Microsoft
[  Software × people  ]

Build the systems no consultant can sell you. Operational performance, measured economics.

01

A proprietary data platform

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.

02

Forward-deployed engineers

Our engineers embed on-site to map, build, deploy, and maintain the applications that run on it.

[  The operating layer  ]

Federate it. Operate it. Improve it.

One platform to bring your business together, run the work on top of it, and get sharper with every engagement.

[  Federate  ]

One clear view of your business

We connect every system you already run — ERP, warehouse, spreadsheets — into one trusted model of your business. No data migration, no rip-and-replace.

  • Your whole business in one place
  • One set of numbers everyone trusts
  • Always up to date
[  Operate  ]

Modernize the systems you run

Put dashboards, automation, and AI agents on top of your existing tools — modernizing legacy software, or replacing it on your own timeline.

  • Automate manual back-office work
  • Modernize legacy tools in place
  • Replace them at your own pace
[  Model-agnostic  ]

A company brain, independent of any model

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.

AnthropicAnthropic OpenAI MistralMistral Open sourceOpen source
[  The platform  ]

Your business as one living ontology.

Every system you run, federated into one model of your business — the single source everything else is built on.

SupplierSiteCustomerInvoiceStoreAssetVehiclePlant Records Generates Transacts Purchases Carries Produces Delivers Ships ONTOLOGY ← Federation Federation → DATA LAKEDATA WAREHOUSEDATA LAKEHOUSEOTHER PLATFORM Dployed → One source of truth FIG.03 — ONTOLOGY
[  The engagement  ]

Forward-deployed with you from day one.

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.

[  Embedded  ]

We build alongside your team

FDEs work on-site with your operators — mapping data, building the ontology, and shipping the first workflows into production in weeks.

01Map & blueprint, on-site
02Build the ontology & first workflow
03Hand over governance to your team
[  Managed  ]

We run it as a system of record

Dployed operates the platform and the systems on top of it — monitored, improved, and kept accountable to the outcomes we agreed.

01Team training
02Continuous tuning & new workflows
03Quarterly EBITDA review
Our team

We're AI experts from the world's leading organizations.

École Polytechnique Palantir Dauphine Astorg Wendel Télécom Paris HEC Paris Mistral AI
[  Integrations  ]

Connect to the stack you already run.

More than 3,500 connectors and MCP, live on top of the tools you already run.

SalesforceSalesforce
GmailGmail
SAPSAP
SnowflakeSnowflake
NotionNotion
MicrosoftMicrosoft
[  Customers  ]

Concrete use cases, deployed on our platform.

All engagements →

We work with companies from €50M to €1B in revenue.

Industrial distribution

~250 employees · LBO roll-up

Finance and inventory reconciled by hand across newly acquired entities, with no consolidated view of margin.

  • Unified ontology across entities
  • Automated month-end close
  • Inventory visibility, all warehouses
6 days → 4 hrsmonth-end close

Field-services staffing

~300 employees · Paris, France

Hiring and onboarding spread across five disconnected systems, with manual texting that broke down at volume.

  • One recruiting & onboarding flow
  • Automated outreach and routing
  • Reliable two-way SMS at volume
2.4×faster time-to-placement

Wealth advisor

400 employees · 6 cities

Client portfolios tracked in spreadsheets across offices. Monthly reporting took days, with no single view of assets under management.

  • End-to-end reporting workflow
  • Automated monthly reconciliation
  • AUM dashboard across every office
days → hoursmonthly reporting
[  Measured ROI  ]

Increase EBITDA in weeks, not years.

6–10

weeks to first production workflow

+3–7 pts

EBITDA margin uplift, typical engagement

1

single source of truth, not ten dashboards

100%

built on top of your existing systems

Illustrative ranges from typical mid-market engagements.