SpotterModel

Modeling Agent For AI-ready Data

SpotterModel is the enterprise modeling agent—turning prompts into governed, deployable data models with built-in review, reliable joins, and consistent definitions at scale.

Trusted by data-driven enterprises


TS Customer Sephora
TS Customer Huel
TS Customer Keyloop
TS Customer Wordpay
TS Customer Cona Services
TS Customer Mattel
TS Customer Verisk
TS Customer Alo
TS Customer Vizio
TS Customer Lyft
TS Customer Cisco
TS Customer Wellthy
TS Customer BD
TS Customer LG
TS Customer Brambles
TS Customer Trust
TS Customer Sephora
TS Customer Huel
TS Customer Keyloop
TS Customer Wordpay
TS Customer Cona Services
TS Customer Mattel
TS Customer Verisk
TS Customer Alo
TS Customer Vizio
TS Customer Lyft
TS Customer Cisco
TS Customer Wellthy
TS Customer BD
TS Customer LG
TS Customer Brambles
TS Customer Trust
TS Customer Sephora
TS Customer Huel
TS Customer Keyloop
TS Customer Wordpay
TS Customer Cona Services
TS Customer Mattel
TS Customer Verisk
TS Customer Alo
TS Customer Vizio
TS Customer Lyft
TS Customer Cisco
TS Customer Wellthy
TS Customer BD
TS Customer LG
TS Customer Brambles
TS Customer Trust
TS Customer Sephora
TS Customer Huel
TS Customer Keyloop
TS Customer Wordpay
TS Customer Cona Services
TS Customer Mattel
TS Customer Verisk
TS Customer Alo
TS Customer Vizio
TS Customer Lyft
TS Customer Cisco
TS Customer Wellthy
TS Customer BD
TS Customer LG
TS Customer Brambles
TS Customer Trust

Models You Can Ship.
Governance You Keep.

SpotterModel is your modeling agent that clears backlog, shortens review cycles, and standardizes definitions—so governed models reach production faster.
Lightning

Clear the backlog

SpotterModel reduces time spent translating requirements into model setup. Teams move faster from request to deployable models, so data engineers deliver more models and updates without added process or headcount growth.

Scale

Shorten review cycles

SpotterModel introduces clear review checkpoints during build, so approvals move faster with less back-and-forth. Governance stays intact, and teams avoid delays that stall deployment.

Rocket

Reduce rework

Many delays come from late fixes—broken relationships, shifting definitions, or confusing fields. SpotterModel brings key decisions forward, so teams catch issues earlier and avoid rebuild cycles.

Rocket

Standardize definitions

When definitions vary across teams, the same metric can produce different answers. SpotterModel keeps modeling choices consistent and reviewable, reducing disputes and improving trust in shared analysis.


Built For Governed Data Models Enterprise-wide

SpotterModel deploys governed data models fast, with built-in review and approval for consistent definitions at scale.

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Leader in Gartner Magic Quadrant for Data & Analytics
0.0/5
On Gartner Peer Insights
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Official patents through the U.S. Patent and Trademark office

From Prompt To Model
In Minutes

SpotterModel combines natural language prompting, guided table and join recommendations, and bulk metadata updates to help teams deploy governed, inspectable models ready for AI analytics.

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Build Models With Natural Language

Describe what to build in natural language, and SpotterModel drafts tables, joins, and measures your team reviews and deploys.

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Review And Approve While Building

Get explanations and confidence scores as you build; teams review, adjust, and apply recommendations without leaving the flow.

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Map Relationships Without Guesswork

Create joins in one click, with clear rationale for how tables connect to prevent broken relationships and rework.

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Choose From AI Column Recommendations

Get recommended columns based on your model’s purpose and the questions it should answer, helping teams select what matters faster.

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Automate Metadata Updates At Scale

Generate and update metadata across many columns, accelerating model deployment and keeping definitions aligned as your data changes.

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Ship Governed Models Faster

Build governed models faster with guided table, join, and column decisions upfront—reducing rework from incorrect relationships and bloated models.

End-to-end Enterprise-ready Modeling

Enterprise-grade capabilities for governance, integration, and reliable model operations.
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Natural language prompting

Turn purpose and questions into a ready-to-deploy model with review checkpoints.

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Guided modeling workflows

Follow step-by-step checkpoints to review, adjust, and approve decisions as you build.

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Confidence-scored tables

Recommend core and supporting tables, each with a confidence score.

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Explainable join mappings

Suggest join paths and conditions with clear rationale for each.

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Column recommendations

Surface the most relevant fields from selected sources, skipping manual scanning.

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Bulk metadata enrichment

Update column properties in bulk with complete visibility into what changed.

Ready To Clear Your Backlog?