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Platform

One connected platform for the data-to-action lifecycle.

DooHorizon connects enterprise data, analytics, machine learning, AI, governance, automation and application development in one operating environment — turning data into decisions and decisions into action.

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See the architecture
The DooHorizon ecosystem: Data — FlowDoo and VizzDoo; Intelligence — MLDoo and AIDoo and GovernanceDoo; Action — AppsDoo and FlowDoo. Beneath them, the Doo platform provides Identity, Workspace, Metadata, Execution, Billing, Audit; around them, the Doo ecosystem: Academy, Marketplace, Universe, Partners.
DOOHORIZON
DataFlowDooVizzDoo
IntelligenceMLDooAIDooGovernanceDoo
ActionAppsDooFlowDoo
Doo Platform
  • Identity
  • Workspace
  • Metadata
  • Execution
  • Billing
  • Audit
Doo Ecosystem

One platform, many capabilities

A connected operating layer, not another silo.

DooHorizon does not ask you to replace everything you run. It creates a connected layer across data, intelligence and action, so you can consolidate workflows progressively while still working with your existing stack.

  • One identity.
  • One security model.
  • One governance layer.
  • One metadata/catalog layer.
  • One execution layer.
  • One marketplace.
  • One connected ecosystem.

The lifecycle

  1. Data
  2. Integration
  3. Analytics
  4. Machine Learning
  5. Artificial Intelligence
  6. Governance
  7. Automation
  8. Applications

Use DooHorizon with the technology you already have — then consolidate where it creates value.

Capabilities

Seven capability areas. One way of working.

Each area is delivered by a Doo product and shares the platform beneath it.

  • Connect

    Data & Integration

    Bring data together from files, databases, SaaS applications and APIs, and prepare it once for everything downstream.

  • Visualize

    Analytics

    Explore prepared data and publish dashboards on definitions the whole organization shares.

  • Explain

    Machine Learning

    Build models whose behaviour you can read, register them with their evidence and serve them.

  • Reason

    AI

    Ground language models in your data and give them tools, approvals and a trace.

  • Govern

    Governance

    One inventory, policy and audit layer across data, models, agents and applications.

  • Automate

    Automation

    Turn a decision into a scheduled, logged workflow instead of a task on someone's list.

  • Build

    Application Development

    Design a process and deliver it as an application built from governed parts.

Platform architecture

Five layers. Every product uses the same ones.

The experience layer is what people see. Beneath it, a control plane, an execution layer, a data layer and a choice of deployment — shared, so nothing is built or governed twice. The architecture is the design the platform is being built toward; product pages say what each product delivers today.

DooHorizon Experience

The products people work in.

DooHorizon Control Plane

What every product shares, so nothing is configured twice.

DooHorizon Execution

Where work actually runs — scheduled, logged and limited.

DooHorizon Data

The systems you already rely on, connected rather than replaced.

Deployment

Run it where your requirements say it must run.

Select a service to see which products use it, or a product to see what it relies on.

Find your starting point

Start from what you need to get done.

What are you trying to accomplish?

Recommended for “Automate a process”

Build the workflow in FlowDoo, watch how it performs in VizzDoo, and keep it accountable with GovernanceDoo.

You can start today with FlowDoo and VizzDoo; the rest follows as it is released.

Start with FlowDoo

Land and expand

One customer, multiple Doo products.

Start with one use case. Expand across the ecosystem.

Nobody adopts a platform in one step. A first use case proves its worth on one product; the next one reuses the data, the identity and the governance that are already in place.

  1. Customer dataIt starts where every organization starts: data scattered across systems and files.
  2. FlowDooFirst use case: connect the sources and automate the clean-up.
  3. VizzDooThe clean data becomes a dashboard leadership actually opens.
  4. MLDooA question on the dashboard becomes a model that predicts the answer — and explains it.
  5. AIDooAn agent reasons over the prediction and recommends what to do.
  6. FlowDoo automationThe recommendation triggers a workflow instead of an email.
  7. AppsDooThe whole thing becomes an application the team works in.

Why it is built this way

Five ideas behind the platform.

Data → Intelligence → Decision → Action.

  1. Simplification

    Reduce fragmentation.

  2. Integration

    Make products work together.

  3. Intelligence

    Bring ML and AI into actual workflows.

  4. Trust

    Make data, models and AI more understandable and governable.

  5. Action

    Move beyond dashboards and recommendations into automated execution and applications.

Ecosystem strategy

The DooHorizon flywheel.

This is the strategy for how the ecosystem is intended to grow — not a description of a network effect that already exists.

The product flywheel

  1. Customers
  2. Use Cases
  3. Templates / Connectors / Models / Agents
  4. Developers & Partners
  5. Marketplace
  6. More Product Value
  7. More Customers

The skills flywheel

  1. Customers
  2. DooAcademy
  3. Certified Professionals
  4. Partners
  5. Implementations
  6. Customer Adoption

Where to next

Two ways to continue.

Evaluating for an organization

Nothing here needs an account.

  1. Platform
  2. Solutions
  3. Architecture
  4. Security
  5. Pricing
  6. Demo

Trying it yourself

Free to start, one product at a time.

  1. Products
  2. Examples
  3. Start Free

FAQ

Questions, answered plainly.

What is DooHorizon?

DooHorizon is an integrated platform connecting data, analytics, machine learning, AI, governance, automation and application development.

Are FlowDoo, VizzDoo and MLDoo separate products?

They are specialized product experiences within the broader DooHorizon ecosystem and are designed to work together.

Can I use only one Doo product?

Yes. Customers can start with one capability and expand as their needs grow.

Does DooHorizon replace my existing enterprise stack?

It is designed to integrate with existing systems and can progressively consolidate workloads where it creates value.

Is MLDoo focused on explainability?

Yes. Explainability and interpretability are intended to be first-class product principles in MLDoo.

Does AIDoo support RAG and agents?

AIDoo is intended to provide RAG, intelligent agents and AI execution capabilities, subject to the current product release.

Is DooHorizon enterprise-ready?

The platform is being designed with enterprise identity, security, governance, auditability and deployment requirements in mind.

Which products can I use today?

FlowDoo — Available; VizzDoo — Public Beta; MLDoo — Preview; AIDoo — Coming Soon; GovernanceDoo — Coming Soon; DoodleDoo — Roadmap; AppsDoo — Roadmap. Every product page shows its current status.

One platform. A better way to build with data and AI.

Start with one use case. Expand across the ecosystem.

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