Impact Analysis. Built Once. Run Anywhere.
IA Studio + IA Local App — the first template-driven causal analysis platform that keeps your data entirely on your own machine.
Domain
Causal AI · Analytics · Privacy-first
Organisations run the same analysis from scratch — every single time.
Repeated manual work
Analysts rebuild the same impact or root cause logic every quarter — on new data, with no reusable structure.
Cloud data exposure
Existing tools require uploading sensitive datasets to third-party cloud infrastructure — a non-starter for regulated industries.
Correlation, not causation
Most BI and ML tools surface correlations. Decision-makers act on them as if they were causes — and get burned.
Build once in IA Studio. Run privately with IA Local App.
IA Studio
Browser-based template builder. Define variables, causal pathways, and output format using sample data — no coding required. Templates are reusable, versioned, and shareable across teams.
- Visual causal pathway editor
- Sample data workspace
- Template export to IA Local App
IA Local App
Standalone desktop application. Load your full production dataset and run the same template locally — no internet, no cloud, no data leaves your environment. Runs on Windows, macOS, Linux.
- 100% offline execution
- Handles millions of rows
- Air-gap & regulated-env ready
Three steps. Repeatable forever.
Design in IA Studio
Upload sample data. Define your impact variables, causal pathways, and output schema using the visual template builder. No code.
Export as IA Local App
One click exports your template as a standalone IA Local App — a self-contained executable bundled with your analysis logic.
Run on full data — privately
Load your full production dataset into IA Local App. Get explainable causal findings. Repeat every time data refreshes.
Example — Example: A finance team builds a revenue attribution template in IA Studio using last quarter's sample data. They export IA Local App and run it on every new quarter's full dataset — same causal logic, fresh findings, zero analyst rework.
A large, underserved market at the intersection of causal AI and data privacy.
Business Intelligence & Analytics market (2026)
Growing at 11% CAGR — driven by demand for actionable, explainable insights.
Causal AI & explainability tools segment
Emerging category with no dominant template-first, privacy-first player.
Enterprises cite data privacy as top barrier to cloud analytics adoption
IA Local App directly addresses the #1 reason enterprises avoid cloud BI tools.
Target segments: Financial services, healthcare, logistics, retail analytics, government & defence.
SaaS studio + per-seat local app licensing.
IA Studio — Free
Get Started
- Up to 3 templates
- Sample data workspace
- Community support
- Export 1 IA Local App / mo
IA Studio — Pro
For Teams
- Unlimited templates
- Team collaboration
- Priority support
- Unlimited IA Local App exports
- Version history
Enterprise
Custom
- On-premise IA Studio option
- Air-gapped IA Local App
- SLA & dedicated support
- Custom integrations
- Audit & compliance reports
Additional revenue: consulting engagements for bespoke template design and causal model development.
No one else is doing template-first, privacy-first causal analysis.
| Capability | Cogxta IA | Tableau / Power BI | Dataiku / H2O | Custom Python |
|---|---|---|---|---|
| Causal analysis (not just correlation) | ✅ | ❌ | ⚠️ partial | ✅ |
| Template-first, reusable logic | ✅ | ❌ | ❌ | ❌ |
| 100% offline / air-gapped execution | ✅ | ❌ | ❌ | ✅ |
| No-code template builder | ✅ | ⚠️ partial | ⚠️ partial | ❌ |
| Explainable causal findings | ✅ | ❌ | ⚠️ partial | ⚠️ partial |
| Runs on analyst's own machine | ✅ | ❌ | ❌ | ✅ |
Early traction. Clear path to scale.
Current Traction
Roadmap
A defensible product in a category with no clear winner yet.
Privacy moat
The only causal analysis platform that runs entirely on the customer's own machine. Zero data leaves their environment — a hard technical requirement in BFSI, healthcare, and government.
Reusability flywheel
Every template built in IA Studio compounds in value. Teams build once and reuse across quarters, datasets, and business units — driving deep product stickiness.
No-code for a technical problem
Causal AI has been locked inside research labs and custom Python scripts. IA Studio makes it accessible to any analyst — expanding the addressable market dramatically.
Early traction in a large market
Active users, live assignments, and consulting engagements across four verticals — before a formal sales motion. Strong signal of organic demand.
Platform, not just a tool
IA Studio is the template layer. IA Local App is the execution layer. Together they form a platform that can expand into scheduling, collaboration, and enterprise governance.
Consulting-led GTM
Every consulting engagement is a paid proof-of-concept that converts into a product deployment. Revenue from day one, with a natural upsell path to the SaaS tier.
Get in touch
[email protected]cogxta.ai