Pit raises $16 million from Andreessen Horowitz to build AI-native enterprise operations software

Pit launched publicly with $16 million from Andreessen Horowitz to build custom AI software that replaces spreadsheets and rigid SaaS tools. Early deployments report 85% faster campaign execution and 10,000+ hours saved annually.

Categorized in: AI News Operations
Published on: May 09, 2026
Pit raises $16 million from Andreessen Horowitz to build AI-native enterprise operations software

Pit Raises $16 Million to Build Custom AI Software for Enterprise Operations

Pit launched publicly today with $16 million in funding led by Andreessen Horowitz to develop AI-native software that replaces fragmented operational tools with custom systems built to each company's specific workflows.

The Stockholm-based startup, founded by former leaders at Voi, Klarna, and iZettle, targets a fundamental problem: most enterprises still run critical operations through spreadsheets, email, and inflexible SaaS platforms despite years of digital transformation spending.

Pit's platform includes two components. Pit Studio learns how a company's operations actually work and generates custom software accordingly. Pit Cloud provides the infrastructure layer with tenant isolation, ISO 27001 compliance, single sign-on, role-based access controls, and audit trails.

The distinction matters for operations teams evaluating tools. Low-code platforms and AI copilots produce prototypes or suggestions. Pit generates production-grade software designed to run actual business operations at scale.

Early Results and Current Deployments

The company has deployed the platform across pilots in logistics, telecom, e-commerce, healthcare, and industrial sectors, including implementations with Voi, Tre, Stena Recycling, and Kry.

Early customer results include:

  • 85% reduction in campaign execution time
  • More than 10,000 hours saved annually per deployment
  • 99% invoice acceptance rates through automation

The funding round included participation from Lakestar and executives from OpenAI, Anthropic, Google, Deel, and Revolut, along with the Stena and Lundin families.

For operations professionals, the implications are direct: custom software built specifically for your workflows, rather than retrofitting operations around generic tools. This aligns with broader industry movement toward AI Agents & Automation in operational processes.

Operations managers looking to understand how AI can optimize their specific processes may find value in the AI Learning Path for Operations Managers, which covers workflow automation and operational efficiency strategies relevant to platforms like Pit.


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