We're solving real problems that we've lived through ourselves—and turning them into products developers actually want to use.
Here's the thing: AI coding assistants are powerful, but they're still blind to half of what developers need. They can't debug embedded hardware. They can't safely access credentials. We're changing that.
After months of wrestling with these problems in our own consulting work, we built solutions. Then we realized—every embedded developer using AI has this problem. Every dev team using AI assistants struggles with credential chaos. So we're building commercial products, and the market is responding.
The Problem We're Solving: Picture this—you're debugging an IoT device, and your AI assistant is completely useless because it can't see what's happening on the hardware. Every embedded developer hits this wall. We did too.
Our Solution: We built the first MCP server that connects Claude Code and Cursor directly to ARM debuggers. Now AI can inspect memory, read registers, analyze RTOS threads—everything you'd do manually, but faster.
Where We Are (v0.1.18-alpha):
The Market: 6M+ embedded developers worldwide. 500K already using AI assistants. We're targeting the 50K early adopters in robotics, IoT, automotive who need this now.
The Problem We're Solving: "Hey AI, deploy the staging server." But wait—you can't give your AI assistant your AWS credentials. So you copy-paste them in Slack, store them in docs, or waste hours hunting them down. Every dev team has this nightmare. It's insecure, it's chaotic, and we lived it.
Our Solution: Credentials that unlock based on what you're working on. Assigned to deploy? You get deploy access. Task done? Access revokes automatically. AI never sees raw credentials—just executes authorized intents. It's task-based authorization that actually makes sense.
Where We Are (v0.1.1-alpha):
The Market: 27M developers globally, 5M+ already using AI assistants. If we capture 1,000 companies with 20 devs each at €40/dev/month? That's €9.6M ARR. And we're just getting started.
On November 6, we brought on 3 new developers. Not contractors, not advisors—actual engineers who had to learn ARM debugging, RTOS internals, and start shipping. Here's what happened in 27 days:
Why This Matters: Most startups talk about scaling. We've done it. Our documentation is good enough that new people ship in weeks, not months. When you invest in us, you're investing in a machine that can add fuel (people) and go faster (ship more products).
We rate ourselves 7.5/10 for alpha stage—because we're honest. No automated testing yet (that's coming). Products aren't integrated (we're on it). But we're moving fast, learning faster, and the trajectory is steep. And critically—the infrastructure to actually sell is built and running.
We're laser-focused on getting to paying customers. Here's the path:
Once we've proven product-market fit, we scale hard:
Bottom line: We're not raising to "explore opportunities." We're raising to accelerate what's already working.
There are 6 million embedded developers in the world. Half a million are already using AI coding assistants. But those assistants can't touch hardware—until now.
We're going after the 50,000 early adopters first: robotics engineers, IoT teams, automotive developers who are bleeding edge and willing to pay for tools that make them faster. The MCP ecosystem is just getting started. We're planting our flag early.
Here's a problem that's only getting bigger: 27 million developers globally, 5 million already relying on AI assistants. Every single one of them hits the same wall—"how do I give my AI access to production without handing over the keys to the kingdom?"
Our answer saves teams 2-3 days per developer per month in credential hunting alone. That's not a nice-to-have. That's money walking out the door every month. And we're the first to solve it properly.
We're not going to pretend everything is figured out. Here's what keeps me up at night:
Why invest now anyway? Because the best time to get in is when the outcome isn't certain but the trajectory is clear. We're early, we're fast, and the market is responding. By the time everything is "proven," the returns are smaller. You know this.
We're keeping this straightforward. Here's what we're raising and what you get:
Why €5M valuation? We're alpha stage with no revenue, so we're not claiming we're worth €20M. But we've got commercial infrastructure live (Stripe + Keygen), GDPR compliance done, a team that scales 6-12x faster than industry standard, and validation coming in (Swedish government investor, first alpha partner). We're early, but we're de-risked.
Our goal: Raise this round, hit beta in Q1 2026, get to €10K-€30K MRR, then Series A at €15M-€20M (3-4x step-up). We're building this to maintain founder control through 4 rounds—we're in this for the long haul.
Note: This valuation will be revised as the company develops. We'll adjust based on product milestones, revenue traction, and market feedback.
We're raising €500K-€1M to go from alpha to paying customers. Looking for investors who get developer tools, understand B2B SaaS, and want to move fast. If that's you, let's have a conversation.
Founder: Lee Sandberg
Location: Sweden
Company: Droidtech 42 AI Labs AB
Stage: Pre-seed / Seed