AI marketing startup Gradial raises $ 65 m in Series C funding

Friday, 19 June 2026 00:00 - - {{hitsCtrl.values.hits}}

Gradial, a US-based artificial intelligence startup focused on automating enterprise marketing operations, has raised $ 65 million in a Series C funding round, valuing the company at $ 675 million.

The Seattle-headquartered firm said the funding round was led by Insight Partners, with participation from existing investors VMG Partners, Madrona and Pruven. The latest investment brings the company’s total funding to more than $ 120 million.

Founded in 2023, Gradial develops AI agents that automate marketing workflows across multiple enterprise software platforms, including Adobe, Salesforce, ServiceNow and Databricks.

The company is positioning itself as an operating system for marketing teams, enabling AI agents to execute tasks across different applications and approval processes that traditionally require significant manual intervention.

According to Chief Executive Officer Doug Tallmadge, the platform is designed to help organisations manage increasingly complex marketing operations by allowing AI agents to work across entire workflows rather than within individual software tools.

Among Gradial’s clients are Amazon Web Services (AWS), Prudential, T-Mobile, Vanguard, Kaiser Permanente and US Bank.

The company said its technology can identify gaps in AI-generated search and content results, draft updates, route them through approval processes and publish changes across multiple systems.

T-Mobile reported that the platform reduced marketing campaign execution times by between 80% and 90%, while maintaining an accuracy rate of 99%.

Gradial said some of its earliest customers have come from highly regulated sectors such as healthcare and financial services, where organisations are seeking to automate processes while maintaining compliance standards.

The company plans to use the fresh capital to expand its workforce beyond its current headcount of around 100 employees, with recruitment planned across engineering, sales and marketing functions.

The investment reflects continued investor interest in enterprise AI applications as businesses seek to automate operational processes and improve productivity through the deployment of AI agents and workflow automation tools.