AI agents that execute inside your business

DataGOL gives agents shared truth, workflow hooks, and verification so outputs become actions teams can trust

Schedule a 2-Week proof of value

Multi-Agent Orcastraction Powered by ContextOS

Data is necessary but insufficient; context is what makes AI resilient and relevant.

Role, History, Permissions, KPIs
Role, History, Permissions, KPIs

These shape what "good" looks like for each request.

Continuity Across Journeys
Continuity Across Journeys

Context follows issues across time, channels, and teams. No re-explaining. No lost state.

Right Answer, Right View
Right Answer, Right View
Right Answer, Right View

Two people ask the same question, need different responses. Role-appropriate. Evidence-backed.

One Semantic Data Layer Grounds your Agent in Truth

One Semantic Data Layer Grounds your Agent in Truth

Instead of one fragile, monolithic agent, DataGOL lets you:

  • Reuse agents as sub‑agents

  • Orchestrate workflows across SQL, BI, search, and Python

  • Share logic across customers

  • Rapidly launch new vertical use cases

This is embedded analytics evolved — autonomous, contextual, and scalable.

Instead of one fragile, monolithic agent, DataGOL lets you:

  • Reuse agents as sub‑agents

  • Orchestrate workflows across SQL, BI, search, and Python

  • Share logic across customers

  • Rapidly launch new vertical use cases

This is embedded analytics evolved — autonomous, contextual, and scalable.

Instead of one fragile, monolithic agent, DataGOL lets you:

  • Reuse agents as sub‑agents

  • Orchestrate workflows across SQL, BI, search, and Python

  • Share logic across customers

  • Rapidly launch new vertical use cases

This is embedded analytics evolved — autonomous, contextual, and scalable.

Build Your Agentic Solution Faster Than the Market

Build Your Agentic Solution Faster Than the Market

From idea → MVP → enterprise‑ready product, faster

From idea → MVP → enterprise‑ready product, faster

The Reality of Building an Agentic Solutions

Every successful agentic AI story starts the same way: strong domain insight, early traction, and a successful pilot. Then the hard parts show up.

  • Data scattered across warehouses, SaaS tools, docs, and APIs

  • Agents that work in demos but fail in real customer workflows

  • Endless one‑off logic per customer

  • No observability, no guardrails, no learning loop

The result? Teams spend months rebuilding foundations instead of winning the category.

DataGOL exists to change that.

The DataGOL Advantage

DataGOL gives you the fastest path to launching and scaling a vertical AI product, without sacrificing trust or reliability.

  • Launch customer‑facing agents in weeks, not quarters

  • Ship AI your customers can rely on

  • Build reusable intelligence, not brittle bots

  • Create a real moat beyond models

This is how successful team, either building vertical AI companies or product teams at large enterprises move faster than competitors, and build products that solve real business needs



DataGOL gives you the fastest path to launching and scaling a vertical AI product, without sacrificing trust or reliability.

  • Launch customer‑facing agents in weeks, not quarters

  • Ship AI your customers can rely on

  • Build reusable intelligence, not brittle bots

  • Create a real moat beyond models

This is how successful team, either building vertical AI companies or product teams at large enterprises move faster than competitors, and build products that solve real business needs



Composable Agents.
Not Fragile Scripts.

DataGOL treats agents as durable system components — reusable, versionable, observable, and deployable across workflows without rebuilding logic each time.

Start Building

Read Documentation

Compose Agents Like Infrastructure

Compose Agents Like Infrastructure

DataGOL treats agents as durable system components. You can reuse them, chain them, version them, and deploy them across workflows without rebuilding logic each time

DataGOL treats agents as durable system components. You can reuse them, chain them, version them, and deploy them across workflows without rebuilding logic each time

Reuse agents and sub-agents

Any agent can invoke any other. Build complex workflows from tested, versioned components.


Orchestrate across SQL, BI, search & Python

One workflow can query, analyze, retrieve, and act — spanning your entire data stack


Share logic across customers and verticals

Build once, deploy to every tenant. Shared agent libraries with tenant-scoped context.


Launch new use cases without rewriting core flows

Recombine existing agents for healthcare, insurance, or fintech, days, not months.

Built for Customer Products & Internal Systems

Built for Customer Products & Internal Systems

DataGOL treats agents as durable system components. You can reuse them, chain them, version them, and deploy them across workflows without rebuilding logic each time

DataGOL treats agents as durable system components. You can reuse them, chain them, version them, and deploy them across workflows without rebuilding logic each time

Trust Is an Architectural Decision

Trust Is an Architectural Decision

Reliability must be embedded into the substrate, not added later. Deterministic Temporal Workflows

Reliability must be embedded into the substrate, not added later. Deterministic Temporal Workflows

Policy Guardrails & Enforcement

Output validation, content filtering, and safety constraints are native, not after thoughts.

ENFORCED

Built-In Token & Cost Controls

Usage tracking and budget enforcement per agent, per tenant, per

workflow. No surprise bills. No runaway compute.

METERED

Full Interaction Observability

Every agent interaction traced end-to-end. Latency, token usage,

reasoning paths — captured and queryable in real time.

TRACEABLE

Deterministic Temporal Workflows

Durable execution with automatic retries, timeouts, and versioned

workflow definitions. Every step is recoverable and auditable.

DETERMINISTIC

Organizational Memory
is Your Long-Term Moat.

Knowledge shared with agents isn't lost. DataGOL stores business context, user corrections, and domain-specific intelligence.

Business Context

Persistent understanding of your specific domain logic.

Feedback Loops

Agents learn from every user correction and edit.

Compound Growth

Your vertical advantage grows with every interaction.

BUILT_FOR

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1

Founders launching vertical AI startups

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2

CTOs shipping customer-facing AI

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3

CEOs selling AI to enterprise buyers

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4

Teams that need speed and

trust

Launch faster. Ship smarter.
Win your category.

Join other forward-thinking businesses in harnessing the power of all-in-one platform.

Start Free Trial - Full platform access, no credit card required

Start Transforming your SaaS Business Today

Join other forward-thinking businesses in harnessing the power of all-in-one platform.

Start Free Trial - Full platform access, no credit card required

Start Transforming your SaaS Business Today

Join other forward-thinking businesses in harnessing the power of all-in-one platform.

Start Free Trial - Full platform access, no credit card required