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WiseRegent

For ML/AI Engineers

Govern every model without slowing your velocity.

You move fast. You shouldn't have to choose between shipping and governing. WiseRegent makes governance invisible — automatic lineage, instant registration, and smart approval routing that gets out of your way.

Without WiseRegent

The challenges holding you back

No central model registry

Every team tracks models in their own spreadsheet, wiki, or experiment tracker. What's actually running in production? Nobody knows — until something breaks.

Approval via email

Manual sign-off chains slow every release. Models sit waiting for someone to respond to an email. By the time approval arrives, the version has changed three times.

No lineage — no context

When a model misbehaves in production, tracing it back to its training data takes days. There's no graph, no record, and no automated trail to follow.

With WiseRegent

How WiseRegent solves it

01

Register in seconds, not days.

WiseRegent auto-detects metadata from MLflow, SageMaker, and Vertex AI. Push a model — the catalog updates. No forms, no tickets, no chasing teammates.

  • Framework-native extraction: metadata pulled directly from your training run.
  • Git integration: commit a manifest and the asset is registered in CI.
  • Auto-detected risk tier based on data sensitivity and model type.
02

Full lineage — automated.

Training data → feature store → training run → model → production endpoint — all traced automatically. When something changes upstream, you know what downstream assets are affected.

  • Cross-platform lineage: SageMaker, Vertex, Databricks, MLflow all connected.
  • Impact analysis: see every downstream consumer before you retrain or retire.
03

Approval in hours, not weeks.

Risk-tier routing sends each model to the right approver automatically. Low-risk? Auto-approved. High-risk? Routes to ML lead with a 48-hour SLA and escalation built in.

  • SLA enforcement: overdue approvals escalate automatically.
  • Override with justification: fast-track with a logged reason.

The capabilities that make it possible

Your complete model inventory — always current.

Every model, agent, prompt, and dataset across all your clouds, automatically discovered and enriched. The catalog you always wanted but never had time to maintain.

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Trace every model back to its source.

Automatic lineage from training data to production endpoint. Know what trained your model, what it depends on, and what depends on it — without ever writing documentation.

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Policy gates that help — not hinder.

Policy-as-code that routes low-risk models to auto-approval and high-risk ones to the right reviewers. No manual routing, no guessing, no blockers for the teams that need speed.

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We went from 'we think we have around 80 models in prod' to 'we have 127, and 89% are governed' in the first week. WiseRegent found 23 models we didn't even know existed.

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Staff ML Engineer, [Company Placeholder]

Early access open

Govern your AI agents before your auditors do.

Join the early-access programme. Shape the roadmap. Lock in founding rates. No credit card, no commitment.

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