Axiom Engine
AI production that runs itself.
Define the campaign, lock the identity, reserve the credits, and let Digitalix Hub carry Generate, Enhance, Upscale, and Refine as one owned production system instead of another tool stack your team has to babysit.
Review layerQA, vault, and delivery stay inside the same operator surface.
GenerateEnhanceUpscaleRefine
The operational shift
From tool stack to production engine.
The old model makes the operator responsible for every handoff. Digitalix Hub turns the workflow itself into the operator.
The old way
Manual work hides in every step.
- Open multiple tools for one campaign and move assets between them by hand.
- Prompt, inspect, fix drift, re-export, then repeat when the next pass breaks continuity.
- Pay for seats, context switching, and manual checking before anything is ready.
- Start from scratch again tomorrow because the workflow never remembered the job.
With Digitalix Hub
Configure the outcome and let the engine run.
- Define the production run once and let Axiom Engine carry it through every stage.
- Identity references, prompt context, and output expectations stay attached to the job.
- Credits map to runs, so cost and throughput stay visible before execution.
- Assets land in the vault already processed, reviewed, and ready for the next action.
Axiom pipeline
Four stages. One production thread.
Every stage inherits the same campaign context, identity references, and cost logic, so output improves without splitting the workflow apart.
Generate
Create the first-pass asset from the brief, the right route, and the right identity pack.
Best-fit model path selected automaticallyEnhance
Sharpen composition, light, texture, and character fidelity without resetting the job state.
Reference lock stays attached through the passUpscale
Prepare the asset for delivery resolution and format without another export chain.
Resolution handled inside the same runRefine
Run the final identity and quality pass, then place the asset in the vault or flag it for review.
Drift checked before the job is considered doneProof
The product already behaves like an operating layer, not a page deck.
The difference is visible in the surface itself: active runs, reserved credits, stage state, review boards, and job histories all exist inside one system instead of a scattered handoff.
Locked contextPrompt intent, reference pack, output settings, and credit usage stay attached to the same run.
Reserved before renderProduction cost is committed up front, so operators see the spend before the job begins.
This is what shifts the experience from software you operate to a service layer you direct. You describe the campaign, the engine coordinates the production steps, and the output arrives in one owned system.
Better operator clarity
Campaign state, stage state, and job state are visible without opening extra tools.
Better asset continuity
Identity and brand reference data survive every pass because the workflow never loses the context.
Better production control
Routing and cost sit underneath the interface, so teams can focus on outcomes and output cadence.
Autonomous surfaces
Each one behaves like an endpoint in the production system.
These are not separate tool silos. They are callable surfaces that the broader pipeline can fire directly when the workflow needs them.
batch.digitalixhub.comRun campaign volume in parallel.
Queue rows at scale, preserve the same operating logic, and let the engine process without manual repetition.
qa.digitalixhub.comScore drift before output is accepted.
Identity checks surface issues early so review happens before the asset leaves the workflow.
publish.digitalixhub.comHand off approved work automatically.
Once the workflow clears QA, delivery can continue without another human approval click in the middle.
prompt.digitalixhub.comTurn briefs into better prompt input.
The operator defines the intent, and the prompt surface shapes it into structured language for the run.
Pricing
Buy production capacity, not seat count.
Each plan maps to output cadence. Credits are there to measure runs, preserve cost clarity, and keep the engine predictable as volume grows.
Entry plan
Axiom Starter
EUR19/mo
For solo operators who want the system running before they outgrow manual production.
- 100 credits per month
- All four Axiom pipeline stages
- Identity lock across each pass
- Asset vault included
- Email support
Axiom Pro
EUR49/mo
For recurring creator output where campaign cadence matters as much as asset quality.
- 400 credits per month
- Priority routing on supported runs
- API access for automation
- Batch scheduling support
- Slack support
Throughput plan
Axiom Scale
EUR99/mo
For agencies, teams, and operators running higher volume with less tolerance for bottlenecks.
- 1200 credits per month
- Higher generation limits
- Team-oriented workflow support
- Dedicated onboarding support
- Everything included in Pro
FAQ
The questions teams ask before they hand the workflow over.
Do I still choose the creative direction?
Yes. You define the campaign goal, reference pack, and output intent. The engine handles the execution path underneath.
What does "identity locked" actually mean?
The workflow keeps the same reference state attached to the job across Generate, Enhance, Upscale, and Refine so the subject does not drift between tools.
Why reserve credits before render?
It makes cost visible before execution begins. Operators know the expected spend up front rather than after the work is already done.
Is this replacing my whole workflow or just the image stack?
The current focus is production workflow: campaign setup, image generation, enhancement, upscaling, refinement, vaulting, and adjacent surfaces like batch, QA, and publish.
Start the engine
Hand off production, not creative control.
Your first pipeline run takes about a minute to configure. After that, Digitalix Hub handles the stage handoffs, reserves the credits, and keeps the asset history in one place.