2 min Applications

Attio raises €6.87 in funding round for data-driven CRM solution

Attio raises €6.87 in funding round for data-driven CRM solution

Attio, a data-driven CRM platform for modern teams raised €6.87 in seed funding to bring customer relationship management into the same agenda as that of modern businesses and enable build-your-own work tools.

The funding round saw Point Nine Capital lead with participation from Headline and Balderton Capital.

Other investors like Passion Capital and angel investors including Front co-founder and CEO Mathilde Collin, Indeed co-founder Paul Forster, Loom and Hyper co-founder Sahed Khan, and Loom co-founder and CTO Vinay Hiremath also participated in this round.

Attio

The startup was launched early this year by Nicholas Sharp and has the mission to develop a new CRM platform with software that is more in line with the new generation of build-your-own-work tools (Airtable, Webflow, Zapier, and Notion).

These tools make it easier for growing startups and large corporations to empower internal teams to move quickly through modern, collaborative, and flexible no-code platforms to complete tasks.

Almost every business uses a customer relationship management tool. However, with the rapid change in technologies and digital transformation, many CRM systems remain the same for too long.

Moving away from the old

Because of that inability to change, the CRM systems often rely on the same workflows that are outdated, leaving teams to manually transcribe data into rigid processes, which eats up time and money.

Attio is designed to handle all the CRM needs of a modern business, offering an overview of all relationships and processes across operations. Team members can get more information on the history of each contact, including call notes, emails, and attributes, to gather insight at every stage.

The software expands and adapts as the business grows, improving overall data quality, efficiency and output. The platform takes in, aggregates, and enriches data from existing interactions to improve the quality and quantity of data.