NIELLO Bridge / Deployment & model operations

From possibility.
Into production.

Connect providers, choose models, test releases and deploy on your terms. The operational bridge between a working prototype and dependable AI.

Explore Bridge
n/BRIDGE / WORKSPACEILLUSTRATIVE VIEW
RELEASE CONTROL

A considered path to production.

EvaluateCompareDeploy
VARIANT A

Current release

Baseline model
VARIANT B

Candidate release

Your selected model
Configured compliance checksReview before release ↗
Managed cloudYour cloudSelf-hosted models
CONNECTED THROUGH NIELLO HUMAN CONTROL, BUILT IN

THE RELEASE STUDIO

A considered route into production.

Explore the connection, evaluation and operating decisions behind a model release.

NIELLO BRIDGEINTERACTIVE ILLUSTRATION / SELECT TO EXPLORE
OPERATING BOUNDARY

Connect an agreed provider endpoint within your access and data boundaries.

ILLUSTRATIVE TRAFFIC PLAN
INNABREQUESTACCESS BOUNDARYPROVIDER ENDPOINT
CONNECT / EXAMPLE PLAN

A clear route to the right model.

A shared request boundary keeps model access connected to its purpose and permissions.

Baseline80%
Candidate20%
HUMAN APPROVAL BEFORE RELEASE
Deployment & model operationsExample content and controls. Your workflow is shaped during discovery.

MADE TO MOVE YOU FORWARD

A clearer purpose.
A more powerful possibility.

01

Connect your model ecosystem

Route requests to the providers and models suited to the task. Connect an existing endpoint or deploy a model on infrastructure you control.

02

Release with evidence

Run A/B experiments, compare evaluation results and check your configured compliance requirements before promoting a version.

03

Operate on your terms

Choose deployment boundaries, define fallback behavior and keep a path back to a previous release. Carry Mesh policies into the runtime.

MODEL ACCESS WALKTHROUGHSWFTE / REFERENCE FILM

THE VALUE IS IN THE CONNECTION

Connect the intelligence.

Explore a reference recording of model access and connected AI services.

Explore the story ↗

FROM CANDIDATE TO PRODUCTION

Evaluated first.
With a path back.

Follow a candidate model from evaluation, through a controlled rollout you set, into production on the infrastructure you choose. If it is not right, roll back and every request returns to the release you trusted.

EVALUATIONCONTROLLED ROLLOUTPRODUCTIONROLLBACK PATHREQUESTSEVALUATION SETGATE OPENBRIDGE SPLITS TRAFFICCurrent releaseServing the restCandidate releaseServing its sharePRODUCTIONYour cloudAN ILLUSTRATIVE RELEASE · NOTHING HERE CALLS A MODEL OR CHANGES A DEPLOYMENT
  • Current release serves the rest.
  • Candidate release serves its share.
  • Production runs on your cloud.
Release stage
Where production runs

Controlled rollout. The candidate serves the share you set, and the current release serves the rest.

HOW THE WORK MOVES

From intent to outcome.

01 /

Choose providers and models

02 /

Check release requirements

03 /

Compare an A/B rollout

04 /

Deploy and observe

A LITTLE MORE CLARITY

Good questions.
Clear answers.

How do we begin with Bridge?

Bring a concrete use case to a discovery conversation. We will map how Bridge fits the workflow, confirm the systems and access it needs, and agree on what a useful pilot should demonstrate.

Can we keep our existing systems?

The platform is designed to work with your systems and chosen model providers. Connector availability, infrastructure boundaries and data requirements are confirmed when scoping your deployment.

How is availability confirmed?

The site describes the Niello product direction. Specific features, integrations, deployment options and commercial terms are confirmed with your team before an engagement begins.