A sale, a new investor or a funding round
Buyers and investors check the product story against the code, the infrastructure and the bill. We get you ready for that, or run the review for the investor or buyer.
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Consultancy · Technical due diligence
Get through technical due diligence on either side of the table
A go-live, a security audit, a big enterprise client's vendor review, a funding round, a new investor or a sale of the company. Each one brings someone who asks hard questions about your technology. We support that process end to end, and we have done it many times. We can get a company ready before buyers, investors or an enterprise security team look, or run the review for the investor or buyer. Either way, engineers who have taken over and rebuilt other teams' products read the code, the infrastructure and the accounts, talk to the people who run them and write down what is really there. Verified findings stay separate from what we could not confirm.
- 130+People, remote across Poland
- 12 questionsIn our public AI readiness scorecard
- 5.0Clutch rating, 11 reviews
This is for you if you have a milestone coming that someone will check
A big enterprise client wants to sign
Their vendor questionnaire and security review want evidence, not promises. We find what would stall the deal, help fix it and help you answer every question.
A security audit is on the calendar
Auditors ask who can access what, where the secrets live and how code reaches production. Better to hear those questions from us first.
You are about to go live or roll out
Before launch you want to know what breaks first, whether accounts belong to the company and whether anyone besides one or two people can deploy and fix it.
What you get. A technical account the other side can rely on
Diligence for the investor or buyer
An independent review of the target: findings ranked by risk and cost to fix, and the questions your deal team should ask next.
Ready before they look
For the company being checked: a gap list ranked by what a buyer, investor, auditor or enterprise security team will ask first, and hands-on help closing it.
Who owns what
Accounts, domains, keys and third-party services: who holds them and what it takes to transfer them.
A risk and operating assessment
Who can read and write what, secrets in the repo, what breaks first under load, dependence on key people, and the work needed to keep the product running.
An evidence register
Code, documents, infrastructure information and interviews we reviewed, with features mapped from the code against what the company claims and access limits made explicit.
Answers for the questionnaire
Draft answers to an enterprise client's vendor and security questionnaire, each one tied to evidence in your code, cloud and processes.
What we check first
What the code actually does
Features, data flows and integrations mapped from the code and checked against the company's claims.
Data model and migrations
Whether the schema can be rebuilt from scratch, migrations can be rerun safely and business logic is duplicated across tables.
Tests around what breaks most
Whether regression tests cover the critical flows, what they verify and which failures remain untested.
Error handling and logging
Whether errors and suspicious activity are recorded, who receives alerts and what the available logs let us verify.
Dependencies and the pipeline
Known vulnerabilities, secret scanning, who can merge and deploy, and whether a change can reach production unread.
A staging environment and a rollback
Whether changes can be checked outside production and a failed release can be rolled back, with evidence of how the process works.
Tech stack. Evidence for a decision
Diligence covers whatever the company runs: Java, .NET, PHP, Python, Node.js, Go or Ruby on Rails backends, React and Angular frontends, mobile apps, SQL and MongoDB data, AWS, Azure or GCP. We turn it into a report an investor, buyer, auditor or enterprise security team can act on.
Tech stack
- Java
- Spring Boot
- .NET
- C#
- PHP
- Laravel
- Python
- Node.js
- TypeScript
- Go
- Ruby on Rails
- React
- Angular
- React Native
- PostgreSQL
- MySQL
- MongoDB
- AWS
- Azure
- GCP
- Kubernetes
- Docker
- Terraform
- GitHub
- GitLab
- SonarQube
- Semgrep
- Snyk
- OWASP ASVS
- Datadog
- Sentry
- AWS Cost Explorer
- Azure Cost Management
How we work
Review the system behind the claims
We scope the work around the milestone: whose questions we answer (buyer, investor, auditor or enterprise client) and what evidence the company can give. Every finding says how we know it and how sure we are, with a clear record of what could and could not be checked.
Their ability to quickly deliver high-quality solutions while maintaining transparency in communication is rare.
How it works. From the milestone to findings you can act on
Define the milestone and the questions
Sale, round, audit, go-live or an enterprise review. We agree whose questions we answer, the deadline and the access the company can give. NDA first. The proposal states scope, price and schedule before the review starts.
Inspect the evidence
Repository history, infrastructure, cost reports, account ownership and how releases actually reach production.
Talk to the people who run it
Interviews with whoever runs the system: who knows what, what is written down and what lives in one person's head.
Report, then fix or hand over
Ranked findings with confidence and cost to fix. Getting ready? We help close the gaps before the other side looks. Investing or buying? You get the questions your deal team should ask next.
Proof, not promises
AI · FinTech
Taking over a crypto platform no one else could ship
PropTech · Platform
Rescuing a construction management platform after a failed first build
Security · Government
Financial-crime investigation software for Poland's authorities
Questions about technical diligence
- No. We work in your repository, your cloud and the tools your team already uses. If one of them gets in the way of the work, we tell you what and why, and you decide.
- With a 30-minute scoping call. We look at what you have and what you need, then propose a first step with its scope and price before any work starts.
- Read access to the repositories, cloud accounts and CI/CD pipeline. Cost reports, architecture notes if they exist and a list of third-party services with who holds each account. And time with the people who run the system. If the company can only share part of this, we scope to what is available and the report says what we could not check.
- Yes. The NDA comes first, before any access. The report goes to whoever commissioned it. When we review a target for an investor or buyer, we agree up front what the target gets to see. We ask for read-only access where we can and agree what happens to access and copies when the work ends.
- No. We assess technical condition and the implications of operating or changing the system. Financial valuation remains with the transaction's financial advisers.
- Before anyone outside starts asking. The review is the quick part. Fixing what it finds takes longer: moving accounts to the company, getting secrets out of the repo, writing down what lives in one person's head. Start early and you fix the gaps instead of explaining them to the buyer.
- Yes. Big clients send a vendor or security questionnaire and often follow up with calls. We check your code, cloud and processes against their questions, fix the gaps that would stall the deal and help you write answers you can back with evidence.
- We examine documentation, operating routines and how knowledge is distributed across the team. Interviews help identify tasks that depend on particular individuals without a clear transfer path.
- Yes: who reads what before it merges, what reaches production unread and whether tests cover the flows that break. On one live client project every commit records its declared AI share, model and tool, and the report flags the commits that went unmeasured, so we know what that evidence looks like and what it means when it's missing.
- It depends on the size of the system and the access the target gives. We agree the scope and schedule up front, and you get a price before we start.
- We have done diligence many times. That work is confidential, so we don't link it. The linked projects show takeover experience with complex systems instead: on Signal Mesh we inherited a database any logged-in user could read or delete; on Elite Medical Prep, a codebase after two failed attempts that wasn't worth saving.
How we think about this, in our own words
Interactive briefs and articles by our team, picked for this service
Why 10× isn't a constant
A field model from 53 production projects showing why AI leverage shrinks as a codebase grows, useful when a target claims it ships 10× faster.
Read the briefArchitecture is what the agent sees
Why architecture decides how much an agent can change safely, which tells you how far a target's AI-driven speed can carry.
Read the briefDo you even use AI? The receipts
What verifiable evidence of AI use looks like at commit level, so you know what to ask a target that says it builds with AI.
Read the briefTell us which milestone is coming up
Investor, buyer, enterprise client, auditor or go-live: tell us who is going to look and when. We will say what to prepare first and what we would check.
Direct contact
Mike KacprowiczBook a callChief Growth Officer