“Is It Verified?"
The question every enterprise needs to be asking.
aidnn answers your questions using a team of specialized agents to continuously learn about your business and data context to plan, refine, execute, and verify analyses.
The self-learning cognitive layer behind better business decisions.
NeoCortex is aidnn's self-learning system, it is structured the way the brain synthesizes knowledge from information. A catalog holds what your organization defines as rules and standards. This translates to skills and habits, which determines how it does analytical work. Memories of previous work directs it on to judge a process input and output. A deep learning runs continuously in the back end, turning every answer aidnn produces into long term reasoning across all three layers during inference time.
Go beyond what traditional BI tools can do.
Tableau, Power BI, and Looker help teams explore and visualize data. aidnn goes further, using AI agents to build, analyze, and act on data while keeping your team in control. See how five common BI workflows compare.
Task
aidnn by Isotopes AI
Tableau
Why it matters to your team
Answer the follow-up
Execs ask in their workflow. aidnn answers using connected data and evidence.
Pulse and Tableau agents answer questions on pre-modeled metrics. New questions often require the dashboard author.
The question gets answered in the meeting. Nobody files a ticket.
Ship a new workflow
Agents build workflows on existing data, in notebooks your team can review, branch, and release.
New workflows mean new dashboards, extensions or Tableau Next flows, built and maintained by your team.
Your team reviews and releases. Agents do the build.
Prove the answer is right
Every data app is verified before release, with answers traceable to source data.
Trust rests on the data source and the report author. AI answers are not tested before people rely on them.
You can sign off on an AI answer, because you can see where it came from.
Serve it everywhere
Use it in aidnn or across web, mobile, and agent apps, with consistent data and rules.
Embedded analytics puts dashboards inside other apps. Reusing the logic in a mobile app or agent means rebuilding it.
One build, one fix, every surface. Answers never drift apart.
Save and share the scenario
Adjust assumptions, save and share scenarios, comment, and ask follow-up questions on any plan.
Parameters enable what-if analysis. Saving, sharing, and commenting on separate scenarios requires an extension or Tableau Next.
The plan stays live after the meeting. Everyone works from the same saved version, with the discussion beside it.
Task
aidnn by Isotopes AI
Power BI
Why it matters to your team
Answer the follow-up
The exec asks in the view they are already in. aidnn answers from connected records and shows the evidence.
Copilot can summarize and answer questions on a report, once capacity and admin settings are in place. Answers stay within the semantic model.
The question gets answered in the meeting. Nobody files a ticket.
Ship a new workflow
Agents build the workflow on the data you already have, in a notebook your team can review, branch and release.
Writeback and planning workflows combine Fabric, Power Apps or Power Automate, plus storage and access rules.
Your team reviews and releases. Agents do the build.
Prove the answer is right
Each data app is checked before release. Every answer carries its lineage back to the rows behind it.
Certified semantic models help. Copilot answers themselves are not checked before release.
You can sign off on an AI answer, because you can see where it came from.
Serve it everywhere
Use it in aidnn, or call it from your own web, mobile and agent apps. Every surface gets the same numbers and rules.
Power BI Embedded shows reports in other apps. The logic stays inside the model and the report.
One build, one fix, every surface. Answers never drift apart.
Save and share the scenario
Users change assumptions, save each scenario, choose who sees it, and discuss it in comments. Follow-up questions work on every saved plan.
What-if parameters are built in. Saved plans need writeback through Fabric or Power Apps, plus storage and rules for who can see each one.
The plan stays live after the meeting. Everyone works from the same saved version, with the discussion beside it.
Task
aidnn by Isotopes AI
Looker
Why it matters to your team
Answer the follow-up
The exec asks in the view they are already in. aidnn answers from connected records and shows the evidence.
Gemini and Conversational Analytics answer within a governed Explore. Questions across Explores need modeling work.
The question gets answered in the meeting. Nobody files a ticket.
Ship a new workflow
Agents build the workflow on the data you already have, in a notebook your team can review, branch and release.
New workflows mean LookML changes, actions or extensions, and a developer to build them.
Your team reviews and releases. Agents do the build.
Prove the answer is right
Each data app is checked before release. Every answer carries its lineage back to the rows behind it.
LookML keeps definitions consistent. Individual AI answers carry no verification status or row-level lineage.
You can sign off on an AI answer, because you can see where it came from.
Serve it everywhere
Use it in aidnn, or call it from your own web, mobile and agent apps. Every surface gets the same numbers and rules.
The semantic layer and API let other apps reuse definitions. Lineage on each answer, follow-ups and agent tasks are left to your team.
One build, one fix, every surface. Answers never drift apart.
Save and share the scenario
Users change assumptions, save each scenario, choose who sees it, and discuss it in comments. Follow-up questions work on every saved plan.
LookML parameters support what-if inputs. Saving plans needs actions or extensions, custom storage and access rules.
The plan stays live after the meeting. Everyone works from the same saved version, with the discussion beside it.
How aidnn is different.
Fragmented Data
About Your Business & Data
Your data, under your control.
Make decisions at the speed of AI without compromising security or speed.
Your data stays yours
We do not train models, so your data is yours.
Full control, your rules
You delete data, we forget it.
Secure and Isolated by design
Our environments are fully isolated and encrypted.
See aidnn in action.
Experience how aidnn solves real business challenges across industries:
We clean your data. You make better decisions.
When aidnn handles the messy parts of analysis, you can implement data decisions that impact the entire org immediately.
Too many finance teams are buried in reports and manual analysis, yet still struggle to make clear, confident decisions. aidnn handles the grunt work of data access, curation and prep, freeing up my teams to focus on high-value analytical insights and shift from reactive reporting to proactive leadership. This is exactly what modern CFOs need.
aidnn streamlines how we manage SaaS revenue and margins by aggregating billing data, running scenario projections, and analyzing anomalies - helping us make confident, data-driven decisions in a fast-changing market.
aidnn solves a critical challenge for any CFO: ensuring data tells a cohesive, accurate story. It eliminates the data-wrestling and inconsistencies that can derail board meetings and erode confidence. This allows my team to focus on strategic analysis, not grunt work, so we can drive the business forward with confidence and speed.
aidnn’s ability to automatically generate monthly financial reports, track against projections, identify significant divergence with its root cause analysis has enabled our finance team in delivering valuable business outcomes that stands apart from commoditized offerings.
aidnn will be a game changer for Finance Leaders by giving them better visibility into the data and helping with the FP&A workflow - especially dealing with AWS cost management. The features of automatically retrieving data from multiple QuickBooks instances, incl. AWS bills, consolidates and normalizes everything, and generates monthly reports seamlessly. What once took days of manual wrangling now happens effortlessly in the background—accurate, consistent, and always on. It truly feels like having a finance co-worker!
aidnn solves a critical challenge for any CFO: ensuring data tells a cohesive, accurate story. It eliminates the data-wrestling and inconsistencies that can derail board meetings and erode confidence. This allows my team to focus on strategic analysis, not grunt work, so we can drive the business forward with confidence and speed.
Too many finance teams are buried in reports and manual analysis, yet still struggle to make clear, confident decisions. aidnn handles the grunt work of data access, curation and prep, freeing up my teams to focus on high-value analytical insights and shift from reactive reporting to proactive leadership. This is exactly what modern CFOs need.
aidnn streamlines how we manage SaaS revenue and margins by aggregating billing data, running scenario projections, and analyzing anomalies - helping us make confident, data-driven decisions in a fast-changing market.
aidnn’s ability to automatically generate monthly financial reports, track against projections, identify significant divergence with its root cause analysis has enabled our finance team in delivering valuable business outcomes that stands apart from commoditized offerings.
aidnn will be a game changer for Finance Leaders by giving them better visibility into the data and helping with the FP&A workflow - especially dealing with AWS cost management. The features of automatically retrieving data from multiple QuickBooks instances, incl. AWS bills, consolidates and normalizes everything, and generates monthly reports seamlessly. What once took days of manual wrangling now happens effortlessly in the background—accurate, consistent, and always on. It truly feels like having a finance co-worker!
