Platform overview

Your AI data 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.

Connect dataAsk questionsReview the workShare results
THE CONNECTED VIEWRetail performance
Revenue$4.36M
Orders13,840
Margin30.8%

Revenue by market

Alabama · no demo dataArizona · no demo dataArkansas · no demo dataCalifornia: $920KColorado: $330KConnecticut · no demo dataDelaware · no demo dataDistrict of Columbia · no demo dataFlorida: $480KGeorgia · no demo dataIdaho · no demo dataIllinois: $420KIndiana · no demo dataIowa · no demo dataKansas · no demo dataKentucky · no demo dataLouisiana · no demo dataMaine · no demo dataMaryland · no demo dataMassachusetts: $290KMichigan · no demo dataMinnesota · no demo dataMississippi · no demo dataMissouri · no demo dataMontana · no demo dataNebraska · no demo dataNevada · no demo dataNew Hampshire · no demo dataNew Jersey · no demo dataNew Mexico · no demo dataNew York: $670KNorth Carolina · no demo dataNorth Dakota · no demo dataOhio · no demo dataOklahoma · no demo dataOregon · no demo dataPennsylvania · no demo dataRhode Island · no demo dataSouth Carolina · no demo dataSouth Dakota · no demo dataTennessee · no demo dataTexas: $740KUtah · no demo dataVermont · no demo dataVirginia · no demo dataWashington: $510KWest Virginia · no demo dataWisconsin · no demo dataWyoming · no demo data

Revenue trend

USD thousands
02,0004,0006,000JanFebMarAprMayJun

Product mix

100%Product mix
  • Electronics36%
  • Home29%
  • Outdoors23%
  • Other12%

How it helps

InfuseBI combines an AI data team 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.

✓ AI data team✓ AI data modeling✓ Reusable analytical results✓ Embedded dashboards✓ Customer-facing portals✓ Reports and pivots

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?

1

Model

Build reusable datasets with AI from approved data, no SQL needed.

2

Govern

Apply identity, roles, row-level security, and LLM controls.

3

Build

Create dashboards, reports, pivots, and charts.

4

Embed

Put analytics inside SaaS apps and customer portals.

5

Share

Schedule, export, and distribute insights securely.

6

Assist

Answer questions and build content with the governed AI data team.

Core modules

Analysis and reporting in one workspace.

◆

AI data team

Analysis, forecasting, charts, and dashboards from plain-language requests.

◇

AI data modeling

Pick tables; AI links them and suggests measures. No SQL.

▲

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.

◇

Your own MCP server

Publish approved data to Claude, ChatGPT, and other AI agents.

▲

MCP Marketplace

Import data from Stripe, Jira, Notion, and any MCP app.

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
See Dashboards, Reports & Pivots →
THE CONNECTED VIEWRetail performance
Revenue$4.36M
Orders13,840
Margin30.8%

Revenue by market

Alabama · no demo dataArizona · no demo dataArkansas · no demo dataCalifornia: $920KColorado: $330KConnecticut · no demo dataDelaware · no demo dataDistrict of Columbia · no demo dataFlorida: $480KGeorgia · no demo dataIdaho · no demo dataIllinois: $420KIndiana · no demo dataIowa · no demo dataKansas · no demo dataKentucky · no demo dataLouisiana · no demo dataMaine · no demo dataMaryland · no demo dataMassachusetts: $290KMichigan · no demo dataMinnesota · no demo dataMississippi · no demo dataMissouri · no demo dataMontana · no demo dataNebraska · no demo dataNevada · no demo dataNew Hampshire · no demo dataNew Jersey · no demo dataNew Mexico · no demo dataNew York: $670KNorth Carolina · no demo dataNorth Dakota · no demo dataOhio · no demo dataOklahoma · no demo dataOregon · no demo dataPennsylvania · no demo dataRhode Island · no demo dataSouth Carolina · no demo dataSouth Dakota · no demo dataTennessee · no demo dataTexas: $740KUtah · no demo dataVermont · no demo dataVirginia · no demo dataWashington: $510KWest Virginia · no demo dataWisconsin · no demo dataWyoming · no demo data

Revenue trend

USD thousands
02,0004,0006,000JanFebMarAprMayJun

Product mix

100%Product mix
  • 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.

From business data to useful findings
  1. 1

    Connect

    Use supported databases and uploaded files.

  2. 2

    Define

    Give fields and metrics clear business meaning.

  3. 3

    Analyze

    Explore with AI, charts, reports, and pivots.

  4. 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?

Your needUnderstand performance
◆ How InfuseBI helpsAsk the AI analyst to investigate a question and explain the supporting numbers.
Your needExplore what comes next
◆ How InfuseBI helpsWork with the data scientist on forecasts, patterns, and models; review the method and limitations.
Your needKeep reporting useful
◆ How InfuseBI helpsCreate charts, reports, and pivots, then save or schedule approved outputs.
Your needServe customers and partners
◆ How InfuseBI helpsShare content through customer workspaces or inside your application, with configured access rules.

How it works

How teams roll out InfuseBI.

1

Connect and model

Bring approved data into governed semantic models with formats and labels.

2

Map identity

Connect your login and set the data each team or customer is allowed to use.

3

Publish and iterate

Embed dashboards, launch portals, enable AI on approved datasets, and expand.

Ready when you are

Bring your toughest question.

See how your AI data team turns it into findings, dashboards, and data your team can 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.