SuperPlane Raises $2.6M Pre-Seed to Build AI Platform Engineering Control Plane

SuperPlane, a Serbian-founded developer tools company building an open-source automation engine and AI-first platform engineering control plane, raised $2.6M in pre-seed funding led by Credo Ventures with participation from First Momentum Ventures and a syndicate of infrastructure operators. The company was founded by Darko Fabijan, Marko Anastasov, Lucas Pinheiro, Aleksandar Mitrovic, Igor Sarcevic, and Petar Perovic. Available sources identify Serbia and Novi Sad as the clearest location reference, while the company targets global engineering teams managing AI infrastructure, platform engineering, developer tools, DevOps automation, and production systems.

The timing matters because AI has made software creation faster, but it has not made production accountability cheaper. Every new agent, coding assistant, and automated workflow still needs approvals, observability, rollback logic, permissions, testing, and incident response. That is the layer SuperPlane wants to own.

The round is not just another bet on AI writing code. It is a bet on the operational layer that decides whether code can be trusted after it leaves the editor, especially inside engineering organizations responsible for complex production environments.

What Happened

SuperPlane raised $2.6M in pre-seed funding to accelerate development of its open-source automation engine and SuperPlane Cloud, the managed version of its platform engineering control plane. Credo Ventures led the round, with First Momentum Ventures participating alongside angel investors including Mirko Novakovic, Tomas Kratky, Andreas Klinger, Igor Bogicevic, Mihajlo Grbovic, Nenad Božić, Alexandre Yazdi, Noé Gersanois, Peter Zaitsev, Stanislas Polu, and Tim Sadler.

The company is building a shared control plane where human engineers and AI agents collaborate across production infrastructure through governed workflows instead of unrestricted automation. Its platform connects pull requests, deployment pipelines, approvals, testing, incident response, rollback procedures, observability, cloud infrastructure, command-line interfaces, APIs, and Model Context Protocol integrations into executable operational workflows.

Why This Matters

The software industry has spent two years celebrating how quickly AI can generate code, but the less glamorous reality starts when that code has to run in production. More generated software means more deployments, more configuration drift, more alerts, more review pressure, and more chances for an automated change to become an expensive operational problem.

That creates a different investment thesis. Rather than competing directly with AI coding assistants, SuperPlane positions itself where enterprises still need policy, human oversight, auditability, and deterministic execution. In plain English: AI can move faster, but someone still has to decide what is allowed to touch production.

Market Context

SuperPlane enters the market with founders who have already lived inside the infrastructure problem. Darko Fabijan and Marko Anastasov previously built Semaphore, a continuous integration platform used by engineering organizations including Intuit, Toyota Connected, Confluent, Replit, and Superhuman. That history matters because operating CI infrastructure at scale teaches a lesson the AI hype cycle keeps relearning: writing software is only one part of the work.

The company says it is working with design partners and early customers, including Confluent, while expanding SuperPlane Cloud. Available sources identify Novi Sad, Serbia as the strongest location reference through Tech.eu Funding Explorer, making "Serbian-founded" and "Serbia-linked" the most accurate editorial framing rather than confidently describing the company as San Francisco-based.

Competitive Landscape

The developer infrastructure market is crowded with companies promising faster code generation, autonomous agents, and increasingly capable programming assistants. SuperPlane competes in the layer after generation, where organizations still need to coordinate deployments, approvals, observability, security workflows, incident response, and production infrastructure without ripping out every system they already use.

That positioning is practical. Engineering teams already run stacks across GitHub, GitLab, cloud providers, CI/CD tools, observability platforms, communication systems, incident response tools, and internal services. SuperPlane's open-source strategy gives platform teams a transparent way to connect those systems through governed workflows instead of forcing a wholesale replacement project dressed up as modernization.

What This Signals

The investor syndicate says almost as much as the product itself. Credo Ventures and First Momentum Ventures are joined by operators who have built infrastructure businesses, enterprise software companies, developer platforms, and observability products. That kind of capital usually shows up when the pain is not theoretical.

Production infrastructure has become that recurring pain. As AI accelerates software creation, operational coordination becomes more valuable because engineering teams need systems that encode institutional knowledge into repeatable workflows. SuperPlane is effectively arguing that operational memory is becoming infrastructure.

The Bigger Industry Shift

AI continues to compress the cost of creating software, but it does not compress the cost of accountability. Someone still approves deployments, investigates incidents, evaluates production risk, and decides whether an automated action deserves human review. The market is starting to reward companies that make that accountability programmable without pretending humans are optional.

SuperPlane represents a growing category of infrastructure companies building coordination layers for humans, AI agents, and production systems. The company is not trying to replace engineers. It is trying to organize the increasingly chaotic relationship between AI-generated software and the environments where software ultimately succeeds or fails. If AI changed how software gets written, SuperPlane is betting the next transformation will decide how software gets trusted.