Agent Studio · Build & Orchestrate AI Agents
Build agents around your business context.
Build agents around your business context.
Create agents that understand what they should do and have the tools and knowledge to do it. Agent Studio brings together model configuration, instructions, enterprise knowledge, tools, integrations and orchestration in one environment for building AI agents around real business workflows.
Less glue code. More operational agents.
Configure the intelligence, context and capabilities of each agent from one place. Connect the model you want, attach the tools it needs, give it access to knowledge and define how it works with other agents and workflows.
Choose the intelligence layer that fits the agent
Models
Choose the intelligence layer that fits the agent
Models
Connect data, APIs, RAG and business capabilities
Tools + knowledge
Connect data, APIs, RAG and business capabilities
Tools + knowledge
Build agents that work alone or as part of a workflow
Orchestration
Build agents that work alone or as part of a workflow
Orchestration
Build it yourself when you can. Bring in our experts when you need more.
Agent Studio gives technical teams the building blocks. For custom integrations, advanced agent architectures, security requirements or production deployment, thaink² can support the design and implementation end to end.
Knowledge
Tools & Integrations
Workflows
Operations
Knowledge
Tools & Integrations
Workflows
Operations
Build agents that work with your systems, not around them.
Bring your models, tools and data together in Agent Studio.
What can I configure in Agent Studio?
You can configure agents around their model, instructions, tools, knowledge and orchestration requirements.
Can agents connect to external tools and business systems?
Yes. The thaink²/aPowerB ecosystem is designed around integrations, custom tools, MCP, APIs and enterprise data sources.
Can I use different LLM providers?
ApowerB provides a multi-model connectivity layer, allowing agent implementations to work with different providers rather than being coupled to one model.
Can the agents run automatically?
Yes. thaink² supports recurring missions and event/condition-driven execution, while the underlying agent runtime also supports scheduled executions and webhooks.
Build agents that work with your systems, not around them.
Bring your models, tools and data together in Agent Studio.
What can I configure in Agent Studio?
You can configure agents around their model, instructions, tools, knowledge and orchestration requirements.
Can agents connect to external tools and business systems?
Yes. The thaink²/aPowerB ecosystem is designed around integrations, custom tools, MCP, APIs and enterprise data sources.
Can I use different LLM providers?
ApowerB provides a multi-model connectivity layer, allowing agent implementations to work with different providers rather than being coupled to one model.
Can the agents run automatically?
Yes. thaink² supports recurring missions and event/condition-driven execution, while the underlying agent runtime also supports scheduled executions and webhooks.
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.
Learn how to build production-ready AI agents.
Explore technical guides and design patterns for building enterprise AI agents with models, knowledge, tools, integrations and orchestration. From single-agent systems to multi-agent workflows, discover the building blocks behind agents designed to perform real business work.
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.