Turn messy data into verified analytics.

aidnn cleans and reconciles your fragmented data, continuosly auto-learns your organizational context and provides formally verified decisions.

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“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.

A prompt is not a product.

When a foundation model generates code, you still own the entire software development lifecycle. Skipping that isn't speed. It's technical debt with a delivery date.

Prompt → Code

A natural-language question turns into code. Whether the answer is correct is on you to verify.

Skills → Library

Reusable prompts saved for the team. Authoring, testing, and maintaining each one is on you.

Verification & testing

A separate verifier agent reviews every plan, query, and result before any number reaches you.

Evals & change management

Every prompt and skill is benchmarked on real data. Promote what improves, roll back what regresses.

Versioning & CI/CD

Version-controlled analyses shipped through CI/CD — the same rigor your engineers already trust for production code.

Audit trails

Every plan, query, and verification step is logged end-to-end. Reproduce any decision; defend any number.

aidnn works in your existing data landscape, seamlessly.

Connect once, analyze everything. aidnn plugs into your current systems without disruption.

How aidnn is different.

Cleans Raw Data & Reconciles
Fragmented Data
Works with data as it actually exists in your systems today.
Neocortex network with nodes labeled Knowledge Bases, Data Context, Process & Decision, and Memory & Learnings.
Neocortex: Continuous Learning
About Your Business & Data
aidnn Neocortex is the recursive self-learning system that turns existing enterprise knowledge and interactions with our AI agents into verified, governed organizational intelligence.
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Multi-Level Verification
Inline verification of the plan, the execution steps, and the final result as a forward pass, deeper offline verification during the backward pass to ensure consistency and accuracy.

Multi-model AI coding agents.

aidnn's multi-agent architecture is built with role-based specialization, critic veto authority, and data isolation, enableing team-wide collaborative intelligence with enterprise-grade privacy, verifiability, and accuracy that single models simply cannot achieve.

See aidnn in action.

Experience how aidnn solves real business challenges across industries:

Smart Invoice Reconciliation

Automatically reconcile invoices against expense reports, with smart matching.

Track NRR Over Time

See how expansions, contractions, and churn shape Net Revenue Retention.

Smarter Insights Beyond QuickBooks

Automatically pull data & deliver powerful analysis without manual sheets or grunt work.

CAC Optimization

Analyze customer acquisition costs and optimize growth strategies.

LTV Prediction

Get accurate lifetime value predictions for your customers.

Cohort Analysis

Analyze cohort data for customer retention insights.

Effortlessly Clean Messy Data

aidnn automatically detects missing values, duplicates, and outliers; with a clear report showing how each issue was resolved - building trust.

Data Transformations Made Simple

aidnn handles complex transformations like multi-level pivoting, aggregations, and more —delivering analysis-ready data without manual effort.

Convert Ideas to Clear Visuals

aidnn turns data into intuitive visualizations such as revenue waterfalls, spider-charts, sankey-charts - all generated just from your asks in plain language.

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.

Raj Singh
Founder & Chairman, Gateway AI

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.

Carey Rutigliano
ex-VP, FP&A at Appfire

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.

Caitlin Haberberger
Chief Financial Officer at Go1

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.

Varsha Udayabhanu
Head of Finance at Invisible

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!

Myoung Kang
Fractional CFO/COO Axiom, ex-Head of Ops, MotherDuck

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.

Caitlin Haberberger
Chief Financial Officer at Go1

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.

Raj Singh
Founder & Chairman, Gateway AI

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.

Carey Rutigliano
ex-VP, FP&A at Appfire

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.

Varsha Udayabhanu
Head of Finance at Invisible

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!

Myoung Kang
Fractional CFO/COO Axiom, ex-Head of Ops, MotherDuck
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Understand your business better, faster.