Open-model AI orchestration

Build AI workflows once. Run them across models and providers.

AttractorFactory is an open-model AI orchestration platform that helps AI teams switch between models and providers without breaking their workflows or adding engineering overhead.

See how it worksExplore the architecture

Switch provider → keep the workflow running.

AI engineering team reviewing a multi-provider orchestration workflow

Stable layer

Workflow IA

AttractorFactory

Routing · state · control

Model A

Provider A

Model B

Provider B

Model C

Provider C

The route changes. The workflow does not.

The problem today

Your AI workflow should not depend on one provider.

AI teams often integrate providers one by one. Each new model or provider can introduce new APIs, wrappers, compatibility work and maintenance overhead.

01

Provider-specific integrations

Every new provider introduces additional integration and maintenance work.
02

Workflow disruption

Changing the underlying model should not force teams to redesign their workflow.
03

Vendor dependency

Choose the model that fits each task, workload or constraint.
FRAGMENTED SYSTEM01

Today

  • 01

    Direct provider APIs

  • 02

    Custom wrappers

  • 03

    Provider-specific logic

  • 04

    Manual switching

  • 05

    Re-integration work

ORCHESTRATED FLOW02

With AttractorFactory

  • 01

    One orchestration layer

  • 02

    Multiple configured routes

  • 03

    Provider switching

  • 04

    Stable workflow logic

  • 05

    Stateful execution

Less integration overhead. More model freedom.

First value moment

Switch the model. Keep the workflow.

EXECUTION IN PROGRESSAF / CONTINUITY 01
STABLE INTENTWorkflowSTATE / 7F2
01Provider AROUTE A · UNAVAILABLE
CONTROLLED SWITCH
02Provider BROUTE B · ACTIVE
CONTEXT PRESERVEDSame workflow continues

The workflow remains stable while the underlying execution route changes.

  1. 01Route A interrupted
  2. 02State transferred
  3. 03Execution continued

Four steps

How it works

01

Connect

Connect an existing AI workflow to the orchestration layer.
02

Configure

Define available models, providers and execution routes.
03

Run

Execute through the selected model route.
04

Switch / Fallback

Move to another route while preserving the workflow above it.

Core capabilities

Orchestration first. Control where it matters.

Core orchestration

01

Open-model orchestration

Run workflows across configured model/provider surfaces without coupling business logic to one vendor.
02

Model/provider switching

Change configured execution routes while preserving workflow intent.
03

Routing

Select routes according to configured availability and requirements.
04

Workflow state & memory

Preserve context, observations, outcomes and workflow history.

Multi-agent execution & control

01

Specialized agent workflows

Coordinate agents for analysis, implementation, review, testing and evaluation.
02

Budget & observability

Inspect routes and outcomes while applying configured cost controls.
03

Controlled execution

Dry-run and read-only safeguards limit supported external side effects.

Technical proof

Already orchestrating real multi-agent workflows

The existing engine coordinates specialized agents for architecture analysis, implementation, review, testing and evaluation through a LangGraph-based cycle.

Inspect the evidence

LangGraph · specialized agents · persistent memory · model-selection hooks · convergence scoring · dry-run safeguards

Early access

The first AttractorFactory MVP

Connect one existing AI workflow, configure at least two model/provider routes, switch or fail over between them, and keep the workflow running without rewriting the application.

Join Early Access