Gradial
by Gradial
The agentic system of work for enterprise marketing
Gradial is an agentic AI platform—an "operating system for marketing"—that deploys AI agents across an enterprise's existing tools to automate content authoring, QA, brand compliance, and approvals. It's built for large marketing organizations and their leaders.
Gradial is a Seattle-based agentic AI platform, founded in 2023, that positions itself as a "system of work" or "operating system for marketing," acting as AI glue across the tools large enterprises already use rather than a standalone point solution. It deploys AI agents that execute end-to-end marketing workflows—content authoring, quality assurance, brand-compliance checks, and WCAG accessibility—on top of an agentic content infrastructure that stores brand, content, asset, and process context, integrating with systems such as Adobe, Salesforce, ServiceNow, and Databricks. The company reports customers including AWS, Prudential, T-Mobile, Vanguard, Kaiser Permanente, and US Bank, and says teams have seen up to 20x efficiency gains with SLA turnaround cut from ten days to same-day. Gradial was co-founded by a team that met at Dartmouth—CEO Doug Tallmadge, CTO Deip Kumar (a SpaceX alumnus who worked on Starlink), and chief growth officer Anish Chadalavada (formerly of Microsoft's AI strategy). In June 2026 it raised a $65 million Series C led by Insight Partners, with VMG, Madrona, and PruVen Capital participating, bringing total funding to more than $110 million and valuing the company at $675 million post-money; it employs roughly 100 people.
At a Glance
- Category
- Marketing & Sales
- Pricing
- Contact for pricing
- Target Market
- CMOs, VPs of Marketing, Marketing Operations, CTOs
- Founded
- 2023
- Headquarters
- Seattle, USA
- Customers
- Enterprise customers including AWS, Prudential, T-Mobile, Vanguard, Kaiser Permanente, and US Bank
Key Features
- ✓Agentic marketing execution
AI agents run full marketing workflows—authoring, QA, brand compliance, and approvals—rather than just recommending actions.
- ✓Agentic content infrastructure
Stores brand, content, asset, and process context so agents act with the organization's full marketing context.
- ✓Enterprise tool integration
Works as AI glue across existing systems such as Adobe, Salesforce, ServiceNow, and Databricks.
- ✓Brand and accessibility QA
Automatically maintains brand compliance and WCAG accessibility across produced content.
Capabilities
Use Cases
- •Brief-to-live campaign content
Move marketing work from brief to live in minutes instead of weeks using AI agents.
- •Automated compliance QA
Run brand-compliance and accessibility checks automatically across all content.
- •Cross-tool marketing orchestration
Coordinate work across Adobe, Salesforce, ServiceNow, and Databricks without separate point tools.
Ideal For
Best For
- ✓Automating enterprise marketing content authoring and QA with AI agents
- ✓Enforcing brand compliance and WCAG accessibility at scale
- ✓Executing marketing work across existing tools like Adobe, Salesforce, ServiceNow, and Databricks
Market & Ratings
Enterprise customers including AWS, Prudential, T-Mobile, Vanguard, Kaiser Permanente, and US Bank
Market Analysis
Pros
- ✓Executes complete marketing workflows, not just suggestions
- ✓Named enterprise customers and strong reported efficiency gains
- ✓Well-funded with a $675M valuation and marquee investors
Cons
- ✗Focused narrowly on enterprise marketing use cases
- ✗Pricing is not publicly available
Pricing
Gradial sells to large enterprises; specific pricing is not publicly disclosed.
Sources
This page was written from 3 sources, 2 on domains other than gradial.com.
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