Stockholm startup Pit has announced its public launch alongside $16 million in funding led by Andreessen Horowitz. The round also included Lakestar, the company’s founders, executives from OpenAI, Anthropic, Google, Deel and Revolut, as well as the Stena and Lundin families.
Pit is building an AI-native platform for enterprise operations, positioning itself as an "AI product team as a service" for companies that want to build and deploy custom internal software. The company says its software is designed to replace the spreadsheets, inboxes and inflexible SaaS tools that still underpin many business workflows.
Founded by team members behind Voi and Klarna, Pit is entering a market where enterprises continue to spend heavily on digital transformation but often remain reliant on fragmented and manual systems. The company says it is already running pilots and deployments across sectors including logistics, telecom, e-commerce and healthcare.
The funding and public launch underscore continued investor interest in startups applying AI to core enterprise infrastructure, particularly those aiming to move beyond copilots and automation layers toward fully deployed operational software.
Pit is building an AI-native platform for enterprise operations, positioning itself as an "AI product team as a service" for companies that want to build and deploy custom internal software. The company says its software is designed to replace the spreadsheets, inboxes and inflexible SaaS tools that still underpin many business workflows.
Founded by team members behind Voi and Klarna, Pit is entering a market where enterprises continue to spend heavily on digital transformation but often remain reliant on fragmented and manual systems. The company says it is already running pilots and deployments across sectors including logistics, telecom, e-commerce and healthcare.
The funding and public launch underscore continued investor interest in startups applying AI to core enterprise infrastructure, particularly those aiming to move beyond copilots and automation layers toward fully deployed operational software.