Predictive Agent · AI Forecasting
Understand what happened. Anticipate what comes next.
Understand what happened. Anticipate what comes next.
Turn historical data into forward-looking analysis. The thaink² Predictive Agent prepares forecasts from your connected datasets, visualizes expected trends and helps teams understand both the prediction and the limits behind it.
Less reactive reporting. More forward-looking decisions.
Select what you want to predict and how far ahead you need to look. The agent retrieves the relevant historical series, runs the forecasting workflow and returns results in a form that business teams can understand and use.
Forecast from the data already available
Historical data
Forecast from the data already available
Historical data
Project future values over a defined horizon
Forecasts
Project future values over a defined horizon
Forecasts
See trends, uncertainty and forecast outputs clearly
Visual analysis
See trends, uncertainty and forecast outputs clearly
Visual analysis
Forecasting when the signal is there. Data expertise when it isn’t yet.
Reliable forecasting starts with usable historical data. When preparation, modeling, integration or production deployment is needed, thaink² can support the entire predictive-data pipeline.
Finance
Forecast revenue, cash flow and financial indicators to complement retrospective reporting.
Manufacturing
Supply Chain
Data & IT
Leadership
Finance
Forecast revenue, cash flow and financial indicators to complement retrospective reporting.
Manufacturing
Supply Chain
Data & IT
Leadership
Bring forecasting into the flow of everyday decisions.
Connect your historical data and see what the Predictive Agent can anticipate.
What does the Predictive Agent forecast?
It can forecast measurable business variables from suitable historical datasets, such as sales, demand, operational volume or other time-based metrics.
What data does it need?
A historical series containing the variable to forecast and an appropriate time dimension. Data quality and history length affect forecast reliability.
Can forecasts be visualized?
Yes. Forecast results can be returned through dedicated visualizations and incorporated into wider analytical outputs.
Can forecasting run proactively?
Yes. Predictive work can be incorporated into recurring missions so forecasts are produced on a schedule rather than requested manually each time.
Bring forecasting into the flow of everyday decisions.
Connect your historical data and see what the Predictive Agent can anticipate.
What does the Predictive Agent forecast?
It can forecast measurable business variables from suitable historical datasets, such as sales, demand, operational volume or other time-based metrics.
What data does it need?
A historical series containing the variable to forecast and an appropriate time dimension. Data quality and history length affect forecast reliability.
Can forecasts be visualized?
Yes. Forecast results can be returned through dedicated visualizations and incorporated into wider analytical outputs.
Can forecasting run proactively?
Yes. Predictive work can be incorporated into recurring missions so forecasts are produced on a schedule rather than requested manually each time.
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 further with predictive analytics.
Explore guides and technical insights on forecasting, time-series analysis, anomaly detection and predictive AI for enterprise data. Learn how historical signals can be transformed into forward-looking analysis that helps teams anticipate change instead of only explaining it afterwards.
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.