BI Agent · AI Business Intelligence
From business question to live dashboard.
From business question to live dashboard.
Build business intelligence through conversation. The thaink² BI Agent queries your data, creates the relevant KPIs and visualizations, and assembles them into interactive dashboards your teams can monitor and reuse.
Less time building dashboards. More time using them.
Describe what you want to monitor. The BI Agent explores the available data, selects the relevant metrics, creates charts and KPI cards, and turns them into a structured dashboard.
Turn business metrics into monitoring signals
KPIs
Turn business metrics into monitoring signals
KPIs
Generate the right visualization for the data
Charts & tables
Generate the right visualization for the data
Charts & tables
Create, publish and refresh reusable BI views
Dashboards
Create, publish and refresh reusable BI views
Dashboards
BI without the reporting backlog. Experts when the architecture needs work.
When dashboards depend on complex modeling, fragmented sources or unfinished pipelines, our Data teams can design and implement the architecture behind the BI experience.
Finance
Build reporting around revenue, margins, budget, cash and financial performance.
Manufacturing
Supply Chain
Data & IT
Leadership
Finance
Build reporting around revenue, margins, budget, cash and financial performance.
Manufacturing
Supply Chain
Data & IT
Leadership
Give every team the dashboard they actually need.
Describe the business view. Let the BI Agent build it from your data.
What can the BI Agent create?
Interactive dashboards combining KPI cards, charts, tables and data visualizations.
Where does the dashboard data come from?
From the enterprise sources connected to thaink², including databases and other systems available in your environment.
Can dashboards stay up to date?
Yes. BI content can be refreshed from its underlying data and integrated into recurring monitoring workflows.
How is the BI Agent different from the Data Analyst Agent?
The Data Analyst Agent focuses on investigating questions and explaining what is happening. The BI Agent focuses on turning data and metrics into persistent dashboards and monitoring views.
Give every team the dashboard they actually need.
Describe the business view. Let the BI Agent build it from your data.
What can the BI Agent create?
Interactive dashboards combining KPI cards, charts, tables and data visualizations.
Where does the dashboard data come from?
From the enterprise sources connected to thaink², including databases and other systems available in your environment.
Can dashboards stay up to date?
Yes. BI content can be refreshed from its underlying data and integrated into recurring monitoring workflows.
How is the BI Agent different from the Data Analyst Agent?
The Data Analyst Agent focuses on investigating questions and explaining what is happening. The BI Agent focuses on turning data and metrics into persistent dashboards and monitoring views.
One agent for each job. One platform for all of them.
Analyze data, build dashboards, forecast what comes next, search enterprise knowledge or design your own agentic workflows all within the same thaink² environment.
Explore the future of business intelligence.
Discover practical resources on AI-powered BI, automated dashboards, KPI monitoring, data visualization and recurring reporting. Learn how intelligent agents can turn enterprise data into continuously updated views that business teams can actually use.
An open-source foundation for building your own agents.
ApowerB is the open-source agentic framework developed by thaink² to build, orchestrate, and operate AI agents on your own stack, using your models, tools, and data.
What if your next analysis were ready before your next meeting?
Show us your environment and a use case. See how thaink² can query, monitor, and act on your data.
Our mission
Our vision
Move from data you look at to data that works continuously for your business.
We believe the next generation of Data platforms will do more than show what happened. They will monitor, explain, anticipate, and prepare decisions before some questions even need to be asked.
What is an Agentic Data Platform?
An Agentic Data Platform uses specialized AI agents to work with enterprise data. Unlike a static dashboard or a simple chatbot, agents can explore multiple sources, run analyses, generate visualizations, produce deliverables, and execute recurring missions.
What’s the difference between Proactive Mode and Exploratory Mode?
In Exploratory Mode, the user asks a question and thaink² runs the analysis on demand. In Proactive Mode, a mission is defined in advance: agents monitor the data based on a set schedule or specific conditions and automatically deliver the relevant results.
Do I need to know SQL to use thaink²?
Not for business use cases. Users can ask questions in natural language and get analyses, tables, charts, and dashboards without writing SQL queries themselves.
What data sources can thaink² connect to?
The platform is designed to work with the systems already in place across your organization: databases, data warehouses, ERP, CRM, APIs, files, and document repositories. Available connectors depend on your environment and use case.
What types of outputs can the agents produce?
Depending on the agent and use case, outputs can include analyses, tables, charts, dashboards, forecasts, alerts, summaries, and reports. The goal is to deliver an actionable result, not just a text response.
Can thaink² be deployed on our own infrastructure?
thaink² supports deployment options designed around enterprise requirements, including organizations that need greater control over their infrastructure, models, and data. Our teams help define the architecture that best fits the project.
Which part of the thaink² ecosystem is open source?
ApowerB is the open-source agentic framework developed by thaink². It enables technical teams to build and operate their own agents, with support for RAG, Text-to-SQL, multi-LLM setups, and APIs.
How do I get started with thaink²?
The easiest way to start is with a concrete use case: reporting, analysis, forecasting, document search, or monitoring. An initial session helps define the available data, expected outcomes, and the most suitable deployment approach.
Join our Discord community
Connect with builders, Data teams, and AI practitioners. Share ideas, get technical help, discuss agentic architectures, and follow the latest developments around ApowerB.
Our newsletter (Soon)
Data that takes action, straight to your inbox.
Field insights, agentic architectures, benchmarks, use cases, and the latest from ApowerB. Only what’s worth reading.
An open-source foundation for building your own agents.
ApowerB is the open-source agentic framework developed by thaink² to build, orchestrate, and operate AI agents on your own stack, using your models, tools, and data.
What if your next analysis were ready before your next meeting?
Show us your environment and a use case. See how thaink² can query, monitor, and act on your data.
Our mission
Our vision
Put the power of data in the hands of decision-makers.
Today, too many business questions still depend on an export, a dashboard, or the availability of a Data team. thaink² changes that by letting teams query their data directly, while agents handle the analysis and recurring work.
What is an Agentic Data Platform?
An Agentic Data Platform uses specialized AI agents to work with enterprise data. Unlike a static dashboard or a simple chatbot, agents can explore multiple sources, run analyses, generate visualizations, produce deliverables, and execute recurring missions.
What’s the difference between Proactive Mode and Exploratory Mode?
In Exploratory Mode, the user asks a question and thaink² runs the analysis on demand. In Proactive Mode, a mission is defined in advance: agents monitor the data based on a set schedule or specific conditions and automatically deliver the relevant results.
Do I need to know SQL to use thaink²?
Not for business use cases. Users can ask questions in natural language and get analyses, tables, charts, and dashboards without writing SQL queries themselves.
What data sources can thaink² connect to?
The platform is designed to work with the systems already in place across your organization: databases, data warehouses, ERP, CRM, APIs, files, and document repositories. Available connectors depend on your environment and use case.
What types of outputs can the agents produce?
Depending on the agent and use case, outputs can include analyses, tables, charts, dashboards, forecasts, alerts, summaries, and reports. The goal is to deliver an actionable result, not just a text response.
Can thaink² be deployed on our own infrastructure?
thaink² supports deployment options designed around enterprise requirements, including organizations that need greater control over their infrastructure, models, and data. Our teams help define the architecture that best fits the project.
Which part of the thaink² ecosystem is open source?
ApowerB is the open-source agentic framework developed by thaink². It enables technical teams to build and operate their own agents, with support for RAG, Text-to-SQL, multi-LLM setups, and APIs.
How do I get started with thaink²?
The easiest way to start is with a concrete use case: reporting, analysis, forecasting, document search, or monitoring. An initial session helps define the available data, expected outcomes, and the most suitable deployment approach.
Join our Discord community
Connect with builders, Data teams, and AI practitioners. Share ideas, get technical help, discuss agentic architectures, and follow the latest developments around aPowerB.
Our newsletter (Soon)
Data that takes action, straight to your inbox.
Field insights, agentic architectures, benchmarks, use cases, and the latest from ApowerB. Only what’s worth reading.