Apr 14, 2026
Seventy percent of what software developers write isn't software.
It's plumbing. Wrappers, adapters, API clients, serialization layers, DTOs - code that exists only to make one system talk to another. According to Forrester, 70% of development work today is integration code. Not business logic. Not product features. Just wiring.
Every engineering team knows this. They've accepted it as the cost of building anything complex. REST APIs, gRPC, middleware - these are the tools everyone uses to manage the problem. But here's the thing: nobody has seriously asked whether the problem should exist at all.
Przemysław and Łukasz Ładyński spent two decades building enterprise integrations. They worked with Siemens, Intel, Bosch, TotalEnergies. They saw the same pattern everywhere: teams burning weeks on integration code that added zero value to the product. And at some point, instead of building a better pipe, they decided the pipe shouldn't be there.
That's Graftcode.
What do they do?
Graftcode is a runtime bridge. It lets applications written in different programming languages call each other's methods directly - as if they were local functions in the same codebase. No REST APIs. No middleware. No client libraries to write and maintain. One command, and your Python module talks to your Java backend with full type safety.
The developer installs a "Graft" - a strongly typed client generated automatically from the target service's public methods - through their standard package manager (npm, pip, NuGet, Maven). That's it. The integration layer that used to take weeks is gone.
Under the hood, there's a binary protocol called IIP (Invocation Intention Protocol) that replaces the text-based JSON/XML approach everyone uses today. The result: service interactions run up to 70% faster than conventional web services, with a fraction of the CPU consumption.
The platform supports over 20 programming languages, covers 143 language pair combinations, and works across all major cloud infrastructure - AWS, Azure, GCP, Kubernetes, Docker. It handles everything from frontend-to-backend communication through microservices to cloud-to-AI interactions. And it does all of this without forcing teams to change how they work - the Grafts show up as regular dependencies in the tools developers already use.
Why this matters now
Three things are happening at once.
First, software architecture is getting more complex, not less. Polyglot programming - using multiple languages in a single project - has become standard. Over 80% of projects now involve more than one language. Every new language in the stack multiplies the integration burden.
Second, AI-assisted coding tools (GitHub Copilot, Cursor, Replit AI) are generating more code faster than ever. But they're terrible at generating the integration layer. AI agents need clean, typed interfaces between services - exactly what Graftcode provides. The Gateway acts as an automatic MCP server, making every business method instantly available to AI systems without a single line of extra code.
Third, technical debt from integration code is reaching a breaking point. McKinsey estimates it consumes around 40% of IT assets. Deloitte puts the annual cost in the US alone at approximately $1.5 trillion. Companies are starting to look for structural solutions, not just patches.
Why are we getting involved?
We invested because we saw three things:
A real problem with hard numbers behind it. This isn't a theoretical inefficiency. When 30-40% of engineering budgets go to integration code, and that code creates the majority of technical debt, you're looking at a structural problem worth trillions. Every CTO we've spoken to nodded when we described it. The pain is universal - it's just been accepted as inevitable.
A technology that took a decade to build - and actually works. Graftcode isn't a weekend project. The core engine, Hypertube, has been in development since 2013. About 20 million PLN has gone into R&D, partly from reinvested revenues of their earlier product Javonet, partly from NCBiR grants. Javonet served over 400 enterprise clients - Premier Bank, IQVIA, TotalEnergies, TRUMPF. When they say runtime bridging works at scale, they have the receipts. Building a cross-runtime bridge for 143 language pairs is extremely hard engineering. That's the moat.
Founders who know the problem from the inside. Przemysław and Łukasz Ładyński aren't researchers who read about integration pain in a paper. They've spent twenty years building enterprise integrations - and watching the same problems repeat across every client, every project, every stack. They built Javonet, proved there was demand, listened to what users needed (more languages, network communication, no API overhead), and started from scratch with Graftcode. Companies were reaching out before the beta even launched - that kind of developer pull is the strongest signal we look for.
The market is ready
The global application integration market is valued at approximately $17 billion and growing at 20% annually. The microservices tooling segment adds another $4-6 billion. But those numbers describe the old way of solving the problem - managing integration. Graftcode proposes eliminating it.
The strategic exits tell an interesting story too. GitHub was acquired by Microsoft for $7.5 billion. HashiCorp went for $6.4 billion. Docker, Terraform, Kubernetes - the companies that became infrastructure standards built massive value. Graftcode is taking the same playbook: free core platform, open protocol, build the standard first, monetize enterprise later.
What's next?
The beta is live. The goal for 2026 is 200,000 developers on the platform. The enterprise tier - on-premise deployments with SLA and security features - comes next. Down the road, there's Graftcode AI Architect: a platform where AI generates entire distributed systems using the Graftcode runtime as the integration fabric.
If the bet plays out, Graftcode becomes what Docker became for containerization - the default way software systems connect. It's an ambitious bet. But when the founders have spent twenty years understanding why the current approach is broken, and the technology to fix it already works, it stops sounding ambitious and starts sounding overdue.
If you're building developer infrastructure that solves a real problem - not just wrapping AI around a pitch deck - we'd like to hear from you.
