AI Agents that execute inside your business
DataGOL gives agents shared truth, workflow hooks, and verification so outputs become actions teams can trust
Why AgentOS is Different
AgentOS is built for execution, giving agents shared context, defined authority, and verification at every step
Specialized Agents
Specialized Agents
Each agent has a defined role, strict authority levels, and specific goals. They reason within constraints, not free-form chat
Shared Context & Memory
Shared Context & Memory
All agents operate on the same data, definitions, and history, keeping teams aligned around a single source of truth.
Governed Execution
Governed Execution
Every action is controlled by policy, routed through approvals when needed, and recorded in immutable logs.
New Agent:
Python Data Science Agent
Powered by ContextOS engine, enabling it to draw on knowledge graphs, use memory, and take full advantage of decision traces when they exist
Powered by ContextOS engine, enabling it to draw on knowledge graphs, use memory, and take full advantage of decision traces when they exist
It doesn’t just answer questions.
It runs the analysis, shows its work, and visualizes the outcome.
ContextOS: The system that grounds agents in knowledge graphs shared memory and decision traces so every analysis is informed by past context aligned definitions and traceable reasoning
𝗜𝗻𝘁𝗲𝗻𝘁 𝗖𝗹𝗮𝗿𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻: Clarifies your question before running anything, ensuring it is solving the right problem, not just producing a plausible answer.
No black-box answers: Shows you the exact plan, the data it will use, and the actual code it will implement.
Executable Analysis: Generates and runs real Python code using you data and definitions.
Visualizations: Every analysis return the most appropriate visual outputs, charts, tables, heatmaps, generated directly from the underlying computation and tailored to the question being asked.
Verifiable Results: Every conclusion is paired with traceable logic, reproducible code, and visual evidence you can inspect or reuse.
It doesn’t just answer questions.
It runs the analysis, shows its work, and visualizes the outcome.
ContextOS: The system that grounds agents in knowledge graphs shared memory and decision traces so every analysis is informed by past context aligned definitions and traceable reasoning
𝗜𝗻𝘁𝗲𝗻𝘁 𝗖𝗹𝗮𝗿𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻: Clarifies your question before running anything, ensuring it is solving the right problem, not just producing a plausible answer.
No black-box answers: Shows you the exact plan, the data it will use, and the actual code it will implement.
Executable Analysis: Generates and runs real Python code using you data and definitions.
Visualizations: Every analysis return the most appropriate visual outputs, charts, tables, heatmaps, generated directly from the underlying computation and tailored to the question being asked.
Verifiable Results: Every conclusion is paired with traceable logic, reproducible code, and visual evidence you can inspect or reuse.
A Python Data Science Agent built on ContextOS
How DataGOL Powers your AI Agents
How DataGOL Powers your AI Agents
How DataGOL Powers your AI Agents
How DataGOL Powers your AI Agents
DataGOL gives agents more than answers by unifying data, enforcing governance, and enabling actions that can be verified end to end
DataGOL gives agents more than answers by unifying data, enforcing governance, and enabling actions that can be verified end to end
AI Agents That Execute Inside Your Business
Design agents with defined roles, prompts, and permissions. DataGOL connects data, policies, and workflows so actions happen in real systems and results can be verified.
From Business Question to Verified Answer
A user asks a plain-English business question.
The agent:
Identifies intent
Selects the correct data
Runs the analysis
Produces charts and narrative backed by source files
Every step is visible, traceable, and auditable
A user asks a plain-English business question.
The agent:
Identifies intent
Selects the correct data
Runs the analysis
Produces charts and narrative backed by source files
Every step is visible, traceable, and auditable
Connect Once. Reuse Everywhere
Connect Once. Reuse Everywhere
DataGOL serves as the unification layer between your data and your agents. Ingestion, transformation, and governance happen once, then every agent and application consumes the same verified context.
DataGOL serves as the unification layer between your data and your agents. Ingestion, transformation, and governance happen once, then every agent and application consumes the same verified context.
DataGOL serves as the unification layer between your data and your agents. Ingestion, transformation, and governance happen once, then every agent and application consumes the same verified context.
Enterprise-Grade Security & Compliance
Enterprise-Grade Security & Compliance
Enterprise-Grade Security & Compliance
Protect sensitive data with real-time monitoring, customizable policies, and continuous security learning
Protect sensitive data with real-time monitoring, customizable policies, and continuous security learning
DataGOL places guardrails around every agent, enforcing policies before and after execution while maintaining real-time monitoring and audit trails
Enterprise Data, Unified and Governed
Enterprise Data, Unified and Governed
Enterprise Data, Unified and Governed
Instead of stitching together point integrations, DataGOL unifies enterprise data sources into a single governed layer. Agents and applications consume consistent, up-to-date context without conflicting definitions or manual sync logic.
AI That Understands your Business Context
AI That Understands your Business Context
AI That Understands your Business Context
Get more accurate insights by combining your internal knowledge with real-time data. Our RAG technology ensures recommendations always make business sense
Why AgentOS is Different
Why AgentOS is Different
Not another AI tool. An operating system for autonomous enterprise execution
Not another AI tool. An operating system for autonomous enterprise execution
Success Stories
Success Stories
Success Stories
Success Stories
Mahesh
Program Lead at FreshMenu
Data collaboration for effective decision making
"With DataGOL, you can have everything. You can grab things from DataWarehouse or S3 or Google Sheets and connect it with Jira and all these applications and systems. It’s like the glue for what you need to do. It’s the single platform for collaboration, the deliverables and even workflows."
Prakash B.
CTO at a Healthcare SaaS
Unify data at one place
“We considered various traditional data warehouses, including cloud vendors and ETL tools, but found these solutions are costly, time consuming for implementation and insufficient. DataGOL offered a unified, scalable platform that significantly reduced complexity and cost. They implemented significantly faster (8 to 10 weeks) compared to traditional methods (9 + months)."
Hoyin Cheung
CEO at REMO
Accelerate product innovations
"DataGol delivered on its promise to simplify data analysis. We get insights in hours instead of weeks, saving money and engineering resources. It truly democratizes data within our company."
Protect your Data and Maintain Compliance
Your Data is your own
Agent OS enforces strict data separation between customers. Information that you provide to inform your agent's behavior, like your knowledge base, unstructured documents, and guides, is stored in your own, private workspaces. Anything stored or build within your workspace is never shared with any other company - this space is distinctly, your own.
Agent OS enforces strict data separation between customers. Information that you provide to inform your agent's behavior, like your knowledge base, unstructured documents, and guides, is stored in your own, private workspaces. Anything stored or build within your workspace is never shared with any other company - this space is distinctly, your own.
Private Data stays private
Agent OS detects and masks customers personal information (PII), like Social Security numbers and credit card details, ensuring their privacy. Real-time integrations with your company's systems of record ensure that sensitive data is only accessed on an as-needed basis, ensuring data integrity.
Agent OS detects and masks customers personal information (PII), like Social Security numbers and credit card details, ensuring their privacy. Real-time integrations with your company's systems of record ensure that sensitive data is only accessed on an as-needed basis, ensuring data integrity.
Train your Agent and nothing else
Your data will never be used to train model for use by anyone other than you for your AI agent. Your data will only ever be used to build your company's agent and benefit you. Period.
Your data will never be used to train model for use by anyone other than you for your AI agent. Your data will only ever be used to build your company's agent and benefit you. Period.
Frequently Asked Questions
What kind of AI capabilities does DataGOL offer?
What exactly are AI Agents at DataGOL?
How do we realize ROI from your AI Agents?
Will these AI Agents integrate with our existing systems?
Do we need an AI or engineering team to get started?
How do you ensure data security and compliance?
What makes our AI Agents different from other tools out there?
We’re not a SaaS company—does this still work for us?
Who inside my company benefits from these AI Agents?
What kind of AI capabilities does DataGOL offer?
What exactly are AI Agents at DataGOL?
How do we realize ROI from your AI Agents?
Will these AI Agents integrate with our existing systems?
Do we need an AI or engineering team to get started?
How do you ensure data security and compliance?
What makes our AI Agents different from other tools out there?
We’re not a SaaS company—does this still work for us?
Who inside my company benefits from these AI Agents?
What kind of AI capabilities does DataGOL offer?
What exactly are AI Agents at DataGOL?
How do we realize ROI from your AI Agents?
Will these AI Agents integrate with our existing systems?
Do we need an AI or engineering team to get started?
How do you ensure data security and compliance?
What makes our AI Agents different from other tools out there?
We’re not a SaaS company—does this still work for us?
Who inside my company benefits from these AI Agents?
What kind of AI capabilities does DataGOL offer?
What exactly are AI Agents at DataGOL?
How do we realize ROI from your AI Agents?
Will these AI Agents integrate with our existing systems?
Do we need an AI or engineering team to get started?
How do you ensure data security and compliance?
What makes our AI Agents different from other tools out there?
We’re not a SaaS company—does this still work for us?
Who inside my company benefits from these AI Agents?
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