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Replace legacy BI with verified AI data apps
Keep your warehouse and data infrastructure. Move beyond dashboards, proprietary BI models and reporting backlogs.
With aidnn, teams ask questions, build workflows and access verified answers in one AI-native environment. NeoCortex learns existing business logic and nuances to replace legacy BI tools without rebuilding your data stack.
At a glance
Differentiator
aidnn
Tableau
Power BI
Looker
Answer follow-ups and build new workflows
Agents answer questions and build workflows
Modeled metrics and extensions
Copilot and Power Apps
Explores and LookML
Save, share and discuss what-if scenarios
Built-in scenario planning and collaboration
Parameters; extensions for saved plans
Writeback and storage required
Actions and custom storage
Verify answers before release
Verification integrated into the release process
Author review
Certified semantic models
Governed definitions
Learn your business with every decision
Neocortex continuously learns business context and decisions
Logic maintained in workbooks and models
Logic maintained in semantic models
LookML definitions manually updated
Build once, deploy across any app
Reusable workflows across web, mobile and agent apps
Embedded dashboards
Embedded reports
Semantic layer API
Move beyond traditional BI reporting
Unlike traditional BI tools built around dashboards and proprietary models, aidnn lets users query data and work with AI-powered apps while agents build new capabilities on governed models in your existing warehouse.
Differentiator
aidnn
Tableau
Why it matters
Answer follow-ups and build new workflows
Agents answer questions and build workflows
Modeled metrics; extensions and flows for new workflows
Fewer backlogs, faster execution
Save, share and discuss what-if scenarios
Built-in scenario planning and collaboration
Parameters; extensions for shared plans
Turn analysis into collaborative decisions
Verify answers before release
Verified answers traceable to source records
Data source and author review
Greater confidence in AI-generated answers
Learn your business with every decision
Neocortex continuously learns business context and decisions
Manually maintained workbooks and models
Less maintenance, more institutional knowledge
Build once, deploy across any app
Reusable workflows across web, mobile and agents
Embedded dashboards; custom development for more
Expand analytics without rebuilding logic
Differentiator
aidnn
Power BI
Why it matters
Answer follow-ups and build new workflows
Agents answer questions and build workflows
Copilot; Power Apps and Fabric for workflows
Faster answers, less manual development
Save, share and discuss what-if scenarios
Built-in scenario planning and collaboration
Parameters; writeback and storage for shared plans
Collaborative planning without additional development
Verify answers before release
Verified answers traceable to source records
Certified models and manual review
Confidence before acting on AI answers
Learn your business with every decision
Neocortex continuously learns business context and decisions
Manually maintained semantic models and DAX
Less maintenance as business needs evolve
Build once, deploy across any app
Reusable workflows across web, mobile and agents
Embedded reports; additional services for custom workflows
Consistent analytics across applications
Differentiator
aidnn by Isotopes AI
Looker
Why it matters
Answer follow-ups and build new workflows
Agents answer questions and build workflows
Gemini; LookML and extensions for workflows
Reduce developer dependency
Save, share and discuss what-if scenarios
Built-in scenario planning and collaboration
Explores; actions and custom storage
Shared planning without custom applications
Verify answers before release
Verified answers traceable to source records
Governed definitions and data validation
Traceable answers for confident decisions
Learn your business with every decision
Neocortex continuously learns business context and decisions
Manually maintained LookML definitions
Business knowledge evolves without manual updates
Build once, deploy across any app
Reusable workflows across web, mobile and agents
Semantic layer API and embedded analytics
Reuse logic across applications
See what changes when BI becomes agent-driven
aidnn is how teams can move from a question to a verified answer, a new workflow or a shared plan without maintaining another dashboard for every request.
Ask, build and share
Turn questions into actionable plans
Ask questions, test assumptions and save scenarios while AI agents build new workflows. Your team reviews and approves the results, with every answer traceable to its source data.
How other BI tools compare
Tableau. Parameters support what-if analysis, but saved scenarios and new workflows typically require extensions or additional development.
Power BI. Copilot answers questions within reports. Saved plans and new workflows may require Power Apps, writeback, storage and access controls.
Looker. Gemini answers inside one Explore. Saved plans need actions and custom storage.
Ask, build and share the scenario
Cinderbrook Ceramics, illustrative production workspace
Grounded in connected records
Hearthmere Hotels, illustrative account view
Verify every answer
Give teams a way to inspect and trust AI-generated answers
aidnn combines governed data models, pre-release review and traceable results so teams can verify answers before acting.
How traditional BI compares
Tableau: Validation depends on the source data, calculations and review of the published experience.
Power BI: Certified models support governance, but certification alone does not validate every AI-generated answer.
Looker: LookML governs metric definitions; answer-level traceability and verification depend on the implementation.
Deploy across applications
Deliver data apps wherever people work
Publish aidnn experiences across web, mobile and agent interfaces using shared, governed business logic.
How traditional BI compares
Tableau: Embedded dashboards extend reporting into other applications, but custom workflows may need separate development.
Power BI: Embedded reports support analytics distribution. Other application experiences can require additional services and implementation work.
Looker: APIs expose governed definitions, while custom agent experiences and application workflows require additional development.
Governed data, delivered through purpose-built applications
Avenlo Outfitters, illustrative associate dashboard and retail application
In aidnn
In the retailer's own app
Replace the BI layer, not your data infrastructure.
aidnn runs on the warehouse and systems you already have, raw data included. Your dashboards stay. The follow-ups, new workflows and app requests stop piling up.
Your data never leaves your environment. Everything your agents build and learn stays with you.
Where people and apps use the work
aidnn dashboards
Your web and mobile apps
Agents, APIs
Answer
Ship
Prove
Serve
Save
Snowflake, Databricks, BigQuery
SAP, Oracle, Workday
Salesforce and other apps
Your data, where it already lives
surfaced in the first four weeks
A Fortune 100 enterprise connected raw planning, actuals and purchase-order data to aidnn without first harmonizing the sources. Across more than 1,400 cost centers, the team identified previously uncaptured vendor rebates and budget opportunities.
A reconciliation process that previously took six weeks was reduced to one week, while quarterly reforecasting moved to a monthly cadence.
Questions data leaders ask
Do we have to replace Tableau, Power BI or Looker?
No. Keep the dashboards your business relies on. aidnn takes on the follow-ups, new workflows and app requests that would otherwise land in your team's queue.
What happens to our existing reports and business definitions?
Agents take the repetitive build work. Your team sets the rules, reviews what agents build, and decides what gets released. The same shift made software engineers more productive, and more in demand.
How do you check an AI answer before people rely on it?
The proposed verification process combines governed dbt models, automated SQL testing, analyst or developer review before release, and traceability to supporting records. The exact scope of query-time checks, row-level lineage, approval gates and audit history should be confirmed with the product team before these are presented as guaranteed capabilities.
Does our data need to be modernized first?
No. aidnn works directly with raw data in your existing environment, without requiring dbt, a semantic layer or changes to your current infrastructure. Where existing pipelines and business logic are available, aidnn can build on them. It can also validate migrations by comparing old and new systems transaction by transaction.
Where does our data live?
Your existing warehouse and connected systems remain the foundation. aidnn is positioned to operate against that infrastructure rather than requiring a new warehouse.
What is aidnn, technically?
aidnn is the data infrastructure and execution layer for agents. It works directly with your data, with or without existing transformation pipelines or semantic layers. Agents build data apps in notebooks, aidnn verifies them, and each release is served to dashboards, apps, agents and APIs. What agents learn along the way becomes a lasting asset for your enterprise.
