datagran

datagran

Datagran is a platform that deploys coordinated AI agent teams to run advertising, lead acquisition, follow-up, and revenue attribution while keeping human teams in control and supervision.

datagran is ai agents software teams evaluate for ai agents. Use this page to review pricing, integration signals, and the best alternatives before you commit.

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#450 in AI Agents (450 tools)
Added 0 year ago
Data reviewed Jul 16, 2026

Profile facts come from the vendor source. AiMatch labels unknown pricing or API details instead of estimating them.

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Quick Overview

Best for: AI Agents

What it does

AI Agents software for decision-makers comparing workflow fit and alternatives.

Best fit

AI Agents

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datagran

Datagran deploys coordinated AI agents as an autonomous growth team to handle demand creation, lead acquisition, follow-up, and revenue intelligence while keeping human teams in control. The platform connects to ad accounts, CRM, and communication channels so agents operate from a single shared memory and context rather than isolated tools. Datagran is positioned for teams that want AI-driven execution across the full customer journey with approvals, interventions, and human takeover built into the workflow.

AI-powered data platform for building workflows, code, and BI dashboards.

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Key Features

Creative Agent

Produces ad concepts, copy, images, and videos based on your brand and performance data.

Campaign Agent

Creates and manages campaigns across Meta, Google, and TikTok.

Acquisition Agent

Responds to new leads instantly, answers questions, qualifies opportunities, and schedules the next action.

Follow-up Agent

Continues conversations automatically across phone, WhatsApp, email, and chat until every opportunity is resolved.

Attribution Agent (Traceline)

Connects campaign spend, leads, conversations, and closed revenue by capturing evidence at the source and resolving ad IDs against a live campaign catalog.

Human Control & Guardrails

Approve, intervene, or take over any agent; configure which actions require human sign-off and retain full visibility into every action, message, and dollar.

Datagran Stack (Groovy, Datagran Intelligence, Persona360, Telerion)

Under-the-hood components: Groovy is the surface for humans and agents, Datagran Intelligence provides shared memory and context, Persona360 stores living customer and account memory, and Telerion handles AI voice and chat across channels.

System Integrations

Connects to ad platforms, CRM, and communication channels so agents work from shared memory rather than isolated tools.

Pricing

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Use Cases

Demand generation and creative production

Use the Creative and Campaign agents to produce ad concepts, creative assets, and launch campaigns across major ad platforms.

Real-time lead response and qualification

Use the Acquisition Agent to respond instantly to inbound leads, qualify opportunities, and schedule next steps.

Automated follow-up and engagement

Use the Follow-up Agent to continue conversations across phone, WhatsApp, email, and chat until opportunities are resolved.

Revenue attribution and analytics

Use Traceline and the Attribution Agent to match spend to leads, conversations, and closed revenue for accurate campaign ROI measurement.

Integrations

Meta

Campaign and ad IDs synced into the live campaign catalog for campaign execution and attribution.

Google / Google Ads

Google lead forms and direct webhooks from Google Ads used as Traceline signals and for campaign execution.

TikTok

Campaign catalog sync for campaign execution and attribution across TikTok.

CRM

Connects CRM systems so agents operate from and update shared customer/account memory.

WhatsApp, Phone, Email, Web Chat

Communication channels used by Acquisition and Follow-up agents for lead response and ongoing engagement.

Benefits

Coordinated, multi-agent automation across the full customer journey (creative, campaigns, acquisition, follow-up, attribution).
Human-in-the-loop control: configurable guardrails, approvals, and one-click human takeover for high-value opportunities.
Accurate attribution: Traceline captures evidence at the source and resolves ad IDs to exact campaigns rather than relying on modeled guesses.
Single shared memory and context across agents, reducing isolated toolchains and duplicated data.
Continuous engagement: agents maintain conversations across multiple channels until opportunities are resolved.

Limitations

When source evidence is missing (no paid evidence found), Traceline cannot attribute and will indicate missing evidence rather than model a guess.
Agents operate with configured guardrails and require human approvals for actions you designate, so some actions may not be fully autonomous without prior configuration.

Frequently Asked Questions

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Getting Started

  1. 1 Step 1: Set the objective — define the growth goal, budget, and guardrails for agent autonomy.
  2. 2 Step 2: Connect your systems — plug in ad accounts, CRM, and communication channels so agents share one memory and context.
  3. 3 Step 3: Deploy the team — agents begin creating ads, launching campaigns, responding to leads, and following up.
  4. 4 Step 4: Supervise and scale — review, approve, intervene, or take over opportunities and measure how spend became revenue.

Support

Email

Contact sales or start the conversation via [email protected] (address listed on the site).

Sales / Onboarding

Request design and wiring of your agent team by initiating a conversation (site invitation: 'Tell us your growth objective. We design your agent team, wire it into your systems...').

API

Available: No

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