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Datagran

datagran.ioWorkflow automation

PulseGate's liveness check found it on 3 Oct 2026; it is registered on GitHub and has been in the index since 12 Aug 2026. How this is checked

Datagran provides coordinated AI agents for demand generation, advertising, lead acquisition, follow-up, and revenue attribution. It is designed for marketing and revenue teams that want AI execution with human supervision across the customer journey.

Inferred · not functionally tested

MITWebCloud-managed
Datagran preview
Visit datagran.io

Overview

6 features

Purpose: Coordinating marketing, lead conversion, follow-up, and revenue attribution across disconnected tools and teams.

Inferred · not functionally tested

Audience: marketing and revenue teams

Inferred · not functionally tested

Functions: agents, workflow_automation, analytics

Inferred · not functionally tested

Interfaces: API: indicated (inferred, not tested) · MCP: unknown · CLI: unknown · Self-hosting: unknown

Recorded constraints: pricing: unknown · license: MIT · platforms: WEB · deployment: browser, cloud_managed

Constraint provenance is unknown; confirm requirements with the publisher.

Record sources: datagran.io · github.com. These links do not verify the individual claims.

Datagran sits in PulseGate's Workflow automation category. Inferred · not functionally tested: It focuses on coordinating marketing, lead conversion, follow-up, and revenue attribution across disconnected tools and teams. Inferred · not functionally tested: Datagran is a B2B product aimed at marketing and revenue teams. Basis unknown · not verified: It ships for the web.

Datagran builds and maintains Datagran, and it first shipped in 2026. Inferred · not functionally tested: Key capabilities include AI growth agents, ad concept generation, and campaign management. Inferred · not functionally tested: Catalogued interfaces include a public API.

Summary written by a language model from the project’s public pages.

Tasks: Inferred · not functionally tested

  • AI growth agents
  • Ad concept generation
  • Campaign management
  • Lead qualification
  • Appointment scheduling
  • Automated follow-up

Topics: Inferred · not functionally tested

Tags
ai-growth-teammarketing-agentslead-conversioncampaign-automationrevenue-attribution
AI capabilities
TextImageVideoAudio
Inference: Cloud API

JSON profile · Text profile · Access guide

Built with & integrations

Framework
Next.js
Hosting
Vercel
Connectors
API
Runs on
BrowserCloud-managed
Detected from
Next.js
x-nextjs-prerender header · /_next/static/ in the HTML · __next_f in the HTML
Vercel
x-vercel-id header · x-vercel-cache header

Trust & compliance

License
MIT
Public signals
HTTPSPrivacy PolicyTerms of ServiceGitHub
Legal
Privacy Policy Terms of Service

Indexing history

1

What PulseGate has recorded for this listing

  1. Indexed12 Aug · 16:05 UTC
    Datagran seen via Saashub
    Source: Saashub · Open

Frequently asked questions about Datagran

What does Datagran do?
Inferred · not functionally tested: Datagran focuses on coordinating marketing, lead conversion, follow-up, and revenue attribution across disconnected tools and teams. It is catalogued under Workflow automation on PulseGate.
Who is Datagran for?
Inferred · not functionally tested: Datagran is a B2B product built for marketing and revenue teams.
What platforms does Datagran run on?
Basis unknown · not verified: Datagran runs on the web.
Is Datagran still active?
PulseGate's liveness check found it on 3 Oct 2026.
What projects are similar to Datagran?
Similar projects tracked by PulseGate include AdsGency AI, Dageno AI, and AdGen AI.AdsGency AIDageno AIAdGen AI
Who develops Datagran?
Datagran is developed by Datagran.
When did Datagran launch?
Datagran first shipped in 2026.
Is Datagran open source?
Basis unknown · not verified: Datagran has a public GitHub repository.

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