Platform overview
Your AI team, connected to your business.
Bring analysis, data science, and reporting together. Connect your data, ask questions, review the work, and share useful results with the people who need them.
- Electronics36%
- Home29%
- Outdoors23%
- Other12%
How it helps
InfuseBI combines an AI analyst and data scientist with data connections, reusable business definitions, dashboards, reports, and controlled sharing. Teams can investigate questions, publish analytical results, and deliver analytics internally or inside customer-facing products.
Who this is for
- Product teams building analytics features
- Data leaders standardizing metrics
- Portal owners sharing data externally
- Security-conscious analytics teams
Six pillars
What does the InfuseBI platform do?
Model
Define reusable analytics models from approved data.
Govern
Apply identity, roles, row-level security, and LLM controls.
Build
Create dashboards, reports, pivots, and charts.
Embed
Put analytics inside SaaS apps and customer portals.
Share
Schedule, export, and distribute insights securely.
Assist
Answer plain-language questions with the governed AI analyst.
Core modules
Analysis and reporting in one workspace.
AI analyst & data scientist
Investigations, statistical analysis, forecasting, and inspectable notebooks.
Reusable analytical results
Publish result datasets and repeat approved analysis methods on a schedule.
Embedded dashboards
Analytics inside your SaaS app and customer portals.
Customer-facing portals
Controlled workspaces for customers, partners, and vendors.
Reports and pivots
Tabular reports, Excel-like pivots, and saved views.
SSO and tenant mapping
Your identity system drives analytics access.
Row-level security
Filtered by customer, region, or user before data is shown.
Exports and schedules
Excel and PDF, on demand or recurring.
AI chart creation
Charts on request, from approved datasets only.
LLM access controls
Pick which datasets and fields AI may read.
Packages and deployment
Promote content between environments as .ibia packages.
Integrations and ETL
Odoo and other systems via ETL and governed connections.
Built for builders
A builder experience your users already understand.
The same governed building blocks, whether the builder is your data team, a tenant admin, or the AI.
- ✓Drag-and-drop dashboard canvas with governed datasets
- ✓Saved views, filters, and personal customization
- ✓Rich formatting for currency, dates, statuses, and links
- ✓One-click Excel/PDF export and scheduled delivery
- Electronics36%
- Home29%
- Outdoors23%
- Other12%
Architecture
Use the same business definitions across your reports.
Define what your fields and metrics mean, then use those definitions across AI analysis, charts, and reports.
- 1
Connect
Use supported databases and uploaded files.
- 2
Define
Give fields and metrics clear business meaning.
- 3
Analyze
Explore with AI, charts, reports, and pivots.
- 4
Share
Make approved results available to your team.
Shared definitions help teams use consistent metrics across their analysis and reporting.
Your requirements
What does your team need to do?
How it works
How teams roll out InfuseBI.
Connect and model
Bring approved data into governed semantic models with formats and labels.
Map identity
Connect your login and set the data each team or customer is allowed to use.
Publish and iterate
Embed dashboards, launch portals, enable AI on approved datasets, and expand.
Ready when you are
Bring your toughest data question.
See how your AI analyst and data scientist can turn it into findings your team can review and use.
FAQ
Frequently asked questions
What does the InfuseBI platform include?+
It includes governed datasets, semantic models, dashboards, reports, pivots, embedded analytics, AI-assisted charting, scheduling, exports, content packages (.ibia), integrations/ETL connectors, and security controls. Everything shares one identity and governance layer.
Is InfuseBI only for internal BI?+
No. InfuseBI is designed for customer-facing analytics, SaaS tenant analytics, partner reporting, and internal teams that need governed self-service access. External sharing is the core use case, not an afterthought.
How does one platform serve internal teams and external customers safely?+
One semantic model is published to many audiences, each mapped to its own row-level scope through SSO. A tenant, a partner, and an internal analyst can open the same dashboard and see only their own rows, with exports and AI held to the same policy.