ACT

Launch production‑ready AI agents on day one

DataGOL is the agent platform purpose‑built for founders, CEOs, and CTOs building vertical AI products who need speed, reliability, and defensibility — without rebuilding the data stack.

Policy-first execution

Human-in-the-loop

Cross-agent coordination

Schedule a 2-Week proof of value

AgentOS Architecture

Agent Layer

GTM

Agent

DataSci

Agent

BI / Chart

Agent

Sql

Agent

Policy & Guardrails Layer

Approval Rules

Scope Limits

Conflict Resolution

Audit Log

System Connectors

ERP

CRM

WMS

Finance

Verification & Memory Loop

Outcome Tracking

Shared Memory

Learning

AgentOS Architecture

Agent Layer

GTM

Agent

DataSci

Agent

BI / Chart

Agent

Sql

Agent

Policy & Guardrails Layer

Approval Rules

Scope Limits

Conflict Resolution

Audit Log

System Connectors

ERP

CRM

WMS

Finance

Verification & Memory Loop

Outcome Tracking

Shared Memory

Learning

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.

Featured AI Agents

DataGOL ships with proven agents you can deploy out‑of‑the‑box, or compose into higher‑level vertical workflows.

DataGOL ships with proven agents you can deploy out‑of‑the‑box, or compose into higher‑level vertical workflows.

Selected Agent
Data Science Agent
pythonanalysisvisuals

Data Science Agent

Runs complex analysis, shows its work, and visualizes the outcome using real Python code.

Execution Flow

1
Clarifies your intent before running anything to ensure it solves the right problem
2
Shows you the exact plan, the data it will use, and the actual code it will implement
3
Generates and runs real Python code using your data and definitions
4
Returns the most appropriate visual outputs (charts, tables, heatmaps) generated directly from the computation
5
Pairs every conclusion with traceable logic, reproducible code, and visual evidence

Primary Use Cases

  • Exploratory data analysis
  • Statistical modeling
  • Predictive forecasting
  • Custom data visualization

Differentiators

ContextOS Powered
Grounds analysis in knowledge graphs, shared memory, and decision traces
No black-box answers
Shows the exact plan, data, and code used for the analysis
Executable Analysis
Doesn't just generate text, it generates and runs real Python code

Required Inputs

Natural LanguageDatasetsBusiness Context

Expected Outputs

Python CodeVisualizationsVerifiable Results
Selected Agent
Data Science Agent
pythonanalysisvisuals

Data Science Agent

Runs complex analysis, shows its work, and visualizes the outcome using real Python code.

Execution Flow

1
Clarifies your intent before running anything to ensure it solves the right problem
2
Shows you the exact plan, the data it will use, and the actual code it will implement
3
Generates and runs real Python code using your data and definitions
4
Returns the most appropriate visual outputs (charts, tables, heatmaps) generated directly from the computation
5
Pairs every conclusion with traceable logic, reproducible code, and visual evidence

Primary Use Cases

  • Exploratory data analysis
  • Statistical modeling
  • Predictive forecasting
  • Custom data visualization

Differentiators

ContextOS Powered
Grounds analysis in knowledge graphs, shared memory, and decision traces
No black-box answers
Shows the exact plan, data, and code used for the analysis
Executable Analysis
Doesn't just generate text, it generates and runs real Python code

Required Inputs

Natural LanguageDatasetsBusiness Context

Expected Outputs

Python CodeVisualizationsVerifiable Results

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

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

Get more accurate insights by combining your internal knowledge with real-time data. Our RAG technology ensures recommendations always make business sense

Contact Sales

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

  • 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."

    Read Case Study

  • 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)."

    Read Case Study

  • 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."

    Read Case Study

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?

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