Data Analyst Agent · AI Data Analysis
Ask your data. Understand what’s really happening.
Ask your data. Understand what’s really happening.
Turn business questions into structured data investigations. The thaink² Data Analyst Agent queries your connected data, explores the relevant dimensions, compares periods, detects anomalies and explains the drivers behind a change without requiring business users to write SQL.
Less time querying data. More time understanding it.
Move from question to analysis in one conversation. The agent can explore database schemas, generate and execute queries, analyze results, create visualizations and turn findings into reports your teams can use.
Ask business questions without writing SQL
Natural language
Ask business questions without writing SQL
Natural language
Explore trends, segments, anomalies and comparisons
Analysis + charts
Explore trends, segments, anomalies and comparisons
Analysis + charts
Turn results into reusable analytical outputs
Reports & exports
Turn results into reusable analytical outputs
Reports & exports
An analyst when the data is ready. Our experts when it isn’t.
Need to connect fragmented systems, prepare your data layer or move an analytical workflow into production? thaink² combines the platform with Data, AI and engineering expertise when the use case requires more than configuration.
Finance
Analyze margins, revenue, costs, cash flow and variances. Compare periods and understand which dimensions are driving a change.
Manufacturing
Supply Chain
Data & IT
Leadership
Finance
Analyze margins, revenue, costs, cash flow and variances. Compare periods and understand which dimensions are driving a change.
Manufacturing
Supply Chain
Data & IT
Leadership
Turn every business question into a data investigation.
Connect your data and see how the Data Analyst Agent works with your environment.
What does the Data Analyst Agent do?
It turns natural-language questions into data analysis. It can query connected databases, compare metrics, identify trends and anomalies, and return results through tables, visualizations and analytical summaries.
Do users need to know SQL?
No. Business users can ask questions in natural language. SQL and data-access operations happen behind the interaction layer.
Can it work with existing databases?
Yes. thaink² is designed to work with the enterprise data stack already in place rather than require a new isolated data environment.
Can analyses run automatically?
Yes. The same analytical capabilities can be used interactively in Exploratory Mode or as recurring and condition-based missions in Proactive Mode.
Turn every business question into a data investigation.
Connect your data and see how the Data Analyst Agent works with your environment.
What does the Data Analyst Agent do?
It turns natural-language questions into data analysis. It can query connected databases, compare metrics, identify trends and anomalies, and return results through tables, visualizations and analytical summaries.
Do users need to know SQL?
No. Business users can ask questions in natural language. SQL and data-access operations happen behind the interaction layer.
Can it work with existing databases?
Yes. thaink² is designed to work with the enterprise data stack already in place rather than require a new isolated data environment.
Can analyses run automatically?
Yes. The same analytical capabilities can be used interactively in Exploratory Mode or as recurring and condition-based missions in Proactive Mode.
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.
Go deeper into AI-powered data analysis.
Explore practical guides and technical insights on AI data analysis, Text-to-SQL, anomaly detection, root-cause investigation and conversational analytics. Learn how enterprise teams can move from business questions to reliable, decision-ready analysis across their existing data.
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.