Voi Co-Founders Launch Pit AI Startup with $16M to Automate Enterprise Workflows

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Stockholm-based Pit, founded by Voi's leadership team, has raised $16 million led by Andreessen Horowitz to build custom AI software for enterprise operations. The AI startup promises to replace fragmented SaaS tools with production-grade systems that learn company workflows and deploy in days, already saving early customers over 10,000 hours annually.

Voi Veterans Launch AI Startup with Major Backing

Pit, a Stockholm-based AI startup founded by the leadership team behind European scooter giant Voi, has emerged from stealth with $16 million in funding led by Andreessen Horowitz. The company positions itself as an "AI product team as a service," aiming to transform how enterprises handle internal operations by building custom AI software tailored to individual business needs

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CEO Adam Jafer, who spent seven years scaling Voi into a team of nearly 1,000 employees across 13 countries, leads the venture alongside former Voi CEO Fredrik Hjelm and engineers from iZettle and Klarna. Lakestar joined a16z on the round, with strategic angels from OpenAI, Anthropic, Google, Deel, and Revolut participating

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. Stockholm, also home to other rising AI companies like Lovable, has become a key hunting ground for a16z seeking the next European unicorn.

Source: SiliconANGLE

Source: SiliconANGLE

Replacing Fragmented SaaS Tools with Custom Solutions

Pit addresses a persistent challenge facing enterprises: despite over $1 trillion in digital-transformation spending, most corporate operations still run on spreadsheets, email inboxes, and rigid SaaS tools never designed for how individual companies actually work

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. The AI startup argues that forcing operations to fit existing software has been an unavoidable cost—until now.

"For 20 years, enterprises have rented software that forces them to operate around it," Jafer explained. "With AI, that ends. For the first time, every company can run on systems they actually designed themselves"

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. Unlike competitors offering AI agent-building or low-code products that produce prototypes, Pit creates production-grade software designed to run operations end-to-end

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Dual Platform Approach: Pit Studio and Pit Cloud

The company's differentiation relies on two core components. Pit Studio serves as the build layer where AI learns how customers work and assembles systems to run those workflows. Users guide the platform through processes that could be handled by AI-generated software, describing business needs and existing procedures

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Pit Cloud provides the governed infrastructure underneath, offering tenant isolation, ISO 27001 certification, SSO, role-based access control, and full audit observability

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. This focus on governance and auditability targets enterprise requirements that often block AI adoption, ensuring compliance while maintaining speed.

Early Results Show Significant Time Savings

Since mid-January, Pit has been testing with pilot customers across telecommunications, healthcare, logistics, and other sectors, focusing exclusively on automating internal processes. "Nothing customer facing, no conversational AI, just pure back-office, service and support functions that we turn into automations so that you can give back time to people to focus on your core business," Jafer told TechCrunch

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Named customers including Voi, Tre, Stena Recycling, and Kry are reporting deployment timelines of days to weeks

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. Early results include an 85% reduction in campaign execution time at one customer, more than 10,000 hours saved annually per deployment, and 99% invoice-acceptance rates achieved through automation

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. At one of Europe's largest industrial companies, Pit replaced legacy contract and invoice validation with an AI-powered system processing in real time with zero validation errors

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Scaling Strategy and Market Positioning

As Pit prepares to scale commercially, it's hiring solution engineers to embed with customers—following the trend of AI companies deploying forward-deployed engineers to drive enterprise adoption. The goal is meeting expectations of large customers "looking to buy outcomes," Jafer explained. "They want processes to go faster. They want to see productivity unlock and time unlock"

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Jafer emphasized that Pit isn't pitching workforce reduction. "The theme is more around moving people upstream to do more valuable things for the business, rather than repetitive back-office work." Success metrics extend beyond cost savings to quality improvements and reducing human errors

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Andreessen Horowitz General Partner Alex Rampell, who led the firm's investment, framed the opportunity distinctly: "Every AI company is selling speed. Pit is selling speed that holds up for years, secure, governed, and built to last. It's a new category"

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. For enterprises watching the AI landscape, Pit represents a shift from assistive tools to systems capable of running core operations—a transition that could redefine how companies approach enterprise workflows and internal automation in the coming years.

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