Pit: The AI Platform Building Custom Enterprise Software Instead of SaaS

The platform analyzes how a company operates and generates production‑grade software to automate workflows—such as logistics coordination, campaign management, approvals, or inventory processes—that are often handled manually today.

The company launched alongside a $16 million funding round led by Andreessen Horowitz (a16z), with participation from Lakestar and angel investors that include executives from OpenAI, Anthropic, Google, Deel, and Revolut, as well as Swedish industrial families such as Stena and Lundin.

Who Founded Pit

Pit was founded in 2025 by Adam Jafer, a co‑founder of the European mobility company Voi, together with several engineers and operators who previously worked at Voi, Klarna, and iZettle.

The founding team’s background in high‑growth technology companies shaped the company’s thesis: many large organizations still run critical operations through manual workflows spread across spreadsheets, email threads, and multiple SaaS tools.

The “AI Product Team as a Service” Model

Rather than selling a fixed software product, Pit acts more like a hybrid of a platform and a product development team.

The core idea is that companies don’t need yet another tool—they need custom software that reflects how their business actually runs. Pit attempts to deliver that through AI systems that:

• Learn how a company’s operations and workflows function
• Generate software systems that automate those workflows
• Deploy those systems into production environments

This approach allows organizations to build operational software without assembling a traditional internal engineering team or stitching together multiple SaaS products.

Pit describes the result as software that acts more like an internal operating system for operations, coordinating tasks across systems while reducing manual busywork.

Pit Studio and Pit Cloud

Public reporting on Pit’s launch mentions the platform components Pit Studio and Pit Cloud, but detailed technical documentation about these products has not yet been widely disclosed in independent sources.

Based on available descriptions of the platform, Pit Studio appears to relate to the environment used to design or generate AI‑driven operational systems, while Pit Cloud likely refers to the infrastructure layer used to deploy and run those systems in production. However, specific architecture details have not been confirmed in the available reporting.

How Pit Differs From Traditional SaaS

Pit’s approach challenges the core assumption behind SaaS products: that many companies can use the same standardized software.

Traditional SaaS tools typically provide a fixed feature set that customers must adapt their processes to fit. Pit instead attempts to build software around the company’s existing workflows, using AI to generate and maintain those systems.

This shift reflects a broader idea emerging in enterprise AI: software may move from standardized products toward custom systems generated on demand.

How It Differs From Low‑Code Platforms

Low‑code platforms give organizations tools to assemble applications themselves using visual builders and integrations.

Pit’s model differs in two ways:

• The system generates operational software using AI rather than relying primarily on human configuration.
• Pit provides the platform together with a service model resembling an outsourced product team.

In other words, companies are not expected to design their own applications from scratch. The platform is meant to create and run the systems automatically.

How It Differs From AI Copilots

AI copilots typically assist users inside existing applications—for example by drafting emails, summarizing documents, or generating code.

Pit targets a different layer of the stack: the workflows themselves. Instead of helping people operate within existing tools, the platform aims to automate the processes behind those tools entirely.

The goal is less “AI assistance” and more AI‑run operations.

The Enterprise Problem Pit Is Trying to Solve

Many enterprise processes still rely on fragmented systems:

• spreadsheets tracking operations
• email inboxes for approvals
• disconnected SaaS tools for different departments

This fragmentation creates manual work, delays, and operational errors.

Pit’s thesis is that AI can analyze how these processes actually function and generate systems that automate them end‑to‑end. The company specifically targets operational workflows that are repetitive, data‑heavy, and spread across multiple tools.

Early Industries and Customers

Early deployments of Pit’s platform have been reported across sectors such as logistics, telecom, e‑commerce, and healthcare.

Companies experimenting with the platform include:

• Voi
• Tre
• Stena Recycling
• Kry

Some early users have reported that operational systems built on the platform can be deployed in days to weeks, suggesting faster implementation than traditional enterprise software rollouts.

A New Direction for Enterprise Software?

Pit represents a growing category of startups exploring AI‑generated enterprise systems instead of fixed software products. The company’s pitch is simple: if AI can understand how a business works, it can build the software that runs it.

Whether that vision replaces traditional SaaS remains uncertain, but Pit’s launch—and its backing from a16z—signals increasing investor belief that AI may transform enterprise software from packaged products into dynamically generated systems.