A production localization pipeline built entirely on the OpenAI API: one English source of truth, SEO-aware translation prompts, cross-model verification with
Independent review of a target company's codebase, architecture, and team โ for investors, acquirers, or founders who need an honest second opinion. Written report in 3โ5 days.
Based in Finland (UTC+2) ยท VAT-registered FI29845875 ยท Respond within 24 hours
Recent client work
Before we closed on a seed-stage SaaS we asked Iurii to look under the hood. He gave us a written report in five days: what was solid, what was held together with tape, and roughly what it would cost to fix the worst of it. He flagged a scaling bottleneck in their database layer that the founders hadn't mentioned, and rated the rest realistically instead of either rubber-stamping it or scaring us off. That report changed how we structured the deal.
Florian Berg ๐จ๐ญ
Investment Principal
Databases

Before you wire money or sign an LOI, you need to know what you're actually buying. Most technical due diligence engagements are run by big consultancies who send junior analysts with checklists โ for โฌ15โ25k, six weeks, and a 60-page report you'll skim once.
I do this differently: one senior engineer with 25+ years of real production experience, a focused 3โ5 day engagement, and a written report you'll actually read. I look at the codebase, infrastructure, architecture, security posture, scalability risks, and team maturity โ and I tell you what I'd be worried about if this were my money.
This works for three audiences: founders who want an independent check on their own dev team before a milestone, founders preparing for acquisition who need a clean technical assessment for the data room, and angel investors or smaller PE firms who don't want to pay Crosslake rates for a Series A check โ Finland-based (UTC+2), NDA-friendly.
30-minute call to agree on scope: what's in scope, who I'll need access to, what the output should answer. Fixed price, fixed timeline.
Read-only access to repos, infrastructure dashboards, monitoring tools. NDA signed before any access. Optional 30-min interviews with key engineers.
I read the code, run the tests if any, examine the architecture, check security and infrastructure. No assumptions โ I document evidence as I go.
Structured report: executive summary, ranked risks, deal-breakers vs. fixable issues, remediation cost estimates. Followed by a 60-min call to walk you through it and answer questions.
A production localization pipeline built entirely on the OpenAI API: one English source of truth, SEO-aware translation prompts, cross-model verification with
Internal sales portal that turns a wholesale deal into a full set of trade paperwork โ pro forma, contract, commercial invoice, packing list, CMR and more โ
Vibe-coded codebase problems: duplicate auth flows, tests that assert nothing, unused dependencies, security shortcuts, schema drift โ why they happen and how
Agency codebase handover checklist: first 48 hours, security triage, architecture mapping, and how to write a takeover assessment. Practical guide.
We had an acquisition offer on the table and I needed to know whether our own codebase would survive the buyer's technical review before I walked into that room. Iurii did a five-day independent audit and gave me a written report I could actually act on โ what was solid, the two things that would raise flags in a data room, and what it would take to fix them first. He caught an undocumented dependency on one ex-contractor's private package that would have been a red flag the moment their team looked. We cleaned it up before diligence started, and the deal closed without a single technical concession. Best money I spent on the whole process.
Wouter Claes ๐ง๐ช
Founder & CEO
AvailableReady to discuss your technical due diligence project?
Tell me what you're building or stuck with. I'll reply within 24 hours.