Description
Datagran is a growth platform built around one idea: keep every AI agent, system, and human working from the same context as a lead moves from first ad impression to closed revenue. Rather than automating a single isolated task, it follows a lead through the full journey and updates itself as new information comes in.
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The workflow runs in connected stages. Datagran generates ad creative, images, video, and copy, from a company's existing Brand Book and past campaign results, then keeps refining that creative based on what performs. When a lead comes in, chat and voice agents hold an immediate conversation to understand intent and identify who is ready to move. When a human is the better next step, the AI hands off the full conversation, the lead's intent, its source, and a recommended next action to a teammate, so nothing has to be re-explained. In the background, Datagran updates the CRM, creates tasks, and uploads documents as the conversation happens, and it sends confirmations, reminders, and follow-up updates to keep the lead informed afterward.
On the reporting side, Datagran connects paid media, chat, voice, and CRM activity back to revenue, so a team can see which campaigns and channels are actually converting rather than relying on last-click guesses. It also includes a conversational interface where someone at the company can ask about conversions, ROI, pipeline, or which campaigns are driving growth and get a direct answer back.
Pricing is credit-based rather than seat-based: customers add credits to a shared balance, for example $100 adds 10,000 credits, and draw down on that balance for AI usage, tools, and services across conversations, calls, creative generation, and data work. There are no separate seat fees or per-product subscriptions; teammate access, human handoffs, and routine CRM updates are included in that model, while advertising spend and custom implementation work are billed separately.
Datagran is built for marketing and revenue teams that want one system to own the process from ad spend to closed deal, with humans able to set guardrails, approve actions, or take over a conversation at any point rather than handing full control to the AI.
- CategoryAI Agent Builders
- Pricing ModelUsage-based
- DeploymentCloud
- PlatformsWeb
Datagran's Core Features
Ad creative generated from a company's Brand Book and past campaign performance
Chat and voice agents that qualify inbound leads through natural conversation
AI-to-human handoff that passes along full conversation context and intent
Automatic CRM updates, task creation, and document uploads during live conversations
Automated confirmations, reminders, and follow-up messages after a handoff
Attribution that connects paid media, chat, voice, and CRM activity to revenue
A conversational "ask your business" interface for checking ROI and pipeline
Credit-based pricing with no seat fees or separate product subscriptions
How to use Datagran?
Connect your brand assets: Add your Brand Book and past campaign results.
Let Datagran create demand: Review AI-generated ad creative before it goes live.
Qualify incoming leads: Chat and voice agents engage new leads automatically.
Hand off high-intent leads: Your team receives full context when a human is needed.
Track the system: Use built-in attribution and the chat interface to check what's converting.
Datagran's Use Cases
- AI-generated ad creative
- Lead qualification at scale
- Sales handoff with context
- Revenue attribution
