AuraOne / Pricing

Pricing follows how you deploy the workflow.

Every engagement starts with the workflow, the required result, and the volume behind it.

Build costs are scoped up front. Each engagement gets a clear quote; recurring pricing follows whether AuraOne runs the work or your systems use the automation directly.

Scope a program Compare scope boundaries

Engagement comparison

Implementation first. Deployment economics second.

Enterprise Intelligence starts with a scoped implementation. Once the workflow is proven, the recurring unit follows whether AuraOne runs it or your systems use the automation.

Comparison of AuraOne commercial engagement structures.
Capability	Human Data program	Enterprise Intelligence implementation	Managed deployment	Dedicated task-model deployment
Primary unit	Accepted data units or releases	Implementation milestones and handoff	Completed or accepted workflow outcomes	Task-model executions, endpoint or inference usage, and throughput
Initial commitment	Program design and scoped delivery	Define, build, prove, and deployment plan	Operating commitment and delivery capacity	Task-model deployment, integration, and support commitment
What you receive	Contracted dataset and documentation	Working task system and baseline evidence	Finished outputs and run reporting	Structured result, version, and exception handoff
Availability	Scoped by modality and capacity	Design-partner entry path	Customer-specific managed operation	Design-partner scoped until production proof

View scope details

Implementation and deployment

Build the system, then choose who operates it.

Design partners are the entry engagement for a new workflow, not a separate product SKU. Existing AI can enter through the same implementation path when improvement is the right job.

Data production

Human Data program

Create expert, voice, or physical-world data against a defined acceptance standard.

Scoped quoteProgram design, plus the accepted units or hours you actually use.

Scope

The objective, the data spec, and the acceptance criteria
Contributor or expert qualifications and collection conditions

Economics

Setup and program-design work
Accepted output units, review depth, and turnaround

Delivery

Contracted dataset, metadata, and delivery documentation
Rights, retention, and handoff terms fixed in scope

Readiness

Availability depends on modality, rights, and operating capacity

Scope a data program

Define, build, prove

Enterprise Intelligence implementation

Run one recurring workflow, then scope a task-specific candidate when accepted outcomes, rights, and evaluation evidence support it.

Scoped quoteUp-front implementation for workflow design, data preparation, model selection or adaptation, integration, testing, and deployment planning.

Scope

The current workflow, required result, systems, volume, and baseline
Acceptance criteria, rights, review policy, and exception boundary

Economics

Workflow design and data preparation
Model selection, scoped training or adaptation, integrations, testing, and deployment

Delivery

A working task-specific system and baseline comparison
A managed operation or scoped task-model / integration plan with rights and support terms

Readiness

Design-partner admission is the entry path for a new workflow
An existing task AI can be improved instead of replaced

Scope an implementation

AuraOne runs it

Managed deployment

Send AuraOne the work. We run the workflow and return the finished result.

Scoped quoteCompleted workflow units, accepted outputs, service-level or turnaround commitment, and operating complexity.

Scope

Approved input and output contract for one named workflow
Human review, exception handling, and customer acceptance path

Economics

Completed workflow units or accepted outputs
Reserved operating capacity, turnaround, and support commitment

Delivery

Finished output plus the review, exception, and delivery record
Versioned reporting for quality, cost, and turnaround

Readiness

The workflow stays within the approved systems and operating boundary

Plan a managed workflow

Your systems use the scoped model

Dedicated task-model deployment

Accepted workflow outcomes become a task-specific candidate, served through a scoped endpoint or approved integration when the evidence supports it.

Scoped quoteWorkflow executions, API or inference usage, reserved throughput, private deployment, and platform or support commitment.

Scope

Input, output, version, exception, and webhook or handoff contract
Approved systems, access, residency, retention, and security boundary

Economics

Workflow executions, API or inference usage, and reserved throughput
Private infrastructure, deployment, and support commitment where needed

Delivery

Structured result returned to the calling application
Exception state, workflow version, review record, and deployment handoff

Readiness

Currently scoped through Enterprise Intelligence design partnerships
A public workflow-run endpoint is not claimed until production proof exists

Plan a task-model deployment

Enterprise Intelligence implementation

One commercial starting point. Three ways to scope the work.

The implementation brief fixes the workflow, acceptance bar, and deployment boundary before recurring pricing begins.

Build a new task system

Bring one recurring workflow. AuraOne defines the job, establishes what correct means, and builds the first working version.

Improve an existing AI system

Bring the current system, its costly failures, and approved corrections. We measure an improved version against the baseline.

Enter through a design partnership

The design partnership is the implementation path for a new workflow, not a separate product SKU. It ends in a deployment decision.

How a quote is built

Price the operation, not an invented software tier.

AuraOne quotes the work required to deliver an accepted result. We publish ranges only after real delivery economics support them.

Define acceptance

Agree what goes in, what comes out, which systems are touched, and what counts as correct.

Model the operation

Price workflow design, data preparation, model selection or adaptation, integration, testing, and deployment work.

Contract the result

Write down whether AuraOne runs the work or your systems use the automation, including the unit and handoff.

What affects your quote

Clear inputs make pricing faster and more accurate.

Outcome and acceptance

The accepted dataset, completed workflow unit, structured result, and approval process your team needs.

Source and volume

The inputs, estimated volume, language or location, collection conditions, rights, systems, and expected variation.

Work and review

The workflow stages, model or software work, review depth, rework, quality bar, exceptions, turnaround, and approvals.

Deployment and trust

Managed operation, integration or private deployment scope, storage, access, residency, retention, security review, service-level requirements, and support.

What the customer keeps

The contracted data, outputs, exports, documentation, and end-of-term handoff.

Start a program

Start with the AI problem in front of you.

Tell us what data your AI system needs or which recurring workflow your enterprise already performs. AuraOne will carry that context into the project brief.

1. Product2. Objective3. Brief

AuraOne / Pricing

Loading pricing.

Preparing engagement structures and program scope options.

Capability

Human Data program

Enterprise Intelligence implementation

Managed deployment

Dedicated task-model deployment

Primary unit

Accepted data units or releases

Implementation milestones and handoff

Completed or accepted workflow outcomes

Task-model executions, endpoint or inference usage, and throughput

Initial commitment

Program design and scoped delivery

Define, build, prove, and deployment plan

Operating commitment and delivery capacity

Task-model deployment, integration, and support commitment

What you receive

Contracted dataset and documentation

Working task system and baseline evidence

Finished outputs and run reporting

Structured result, version, and exception handoff

Availability

Scoped by modality and capacity

Design-partner entry path

Customer-specific managed operation

Design-partner scoped until production proof

Pricing follows how you deploy the workflow.

What shapes the price

Implementation first. Deployment economics second.

Build the system, then choose who operates it.

Scope

Economics

Delivery

Readiness

Scope

Economics

Delivery

Readiness

Scope

Economics

Delivery

Readiness

Scope

Economics

Delivery

Readiness

One commercial starting point. Three ways to scope the work.

Build a new task system

Improve an existing AI system

Enter through a design partnership

Price the operation, not an invented software tier.

Define acceptance

Model the operation

Contract the result

Clear inputs make pricing faster and more accurate.

Outcome and acceptance

Source and volume

Work and review

Deployment and trust

What the customer keeps

Start with the AI problem in front of you.

Loading pricing.

Pricing follows how you deploy the workflow.

What shapes the price

Implementation first. Deployment economics second.

Build the system, then choose who operates it.

Scope

Economics

Delivery

Readiness

Scope

Economics

Delivery

Readiness

Scope

Economics

Delivery

Readiness

Scope

Economics

Delivery

Readiness

One commercial starting point. Three ways to scope the work.

Build a new task system

Improve an existing AI system

Enter through a design partnership

Price the operation, not an invented software tier.

Define acceptance

Model the operation

Contract the result

Clear inputs make pricing faster and more accurate.

Outcome and acceptance

Source and volume

Work and review

Deployment and trust

What the customer keeps

Start with the AI problem in front of you.