Prices read from five providers, 6 October 2026
Technical Due Diligence for SaaS Acquisitions with Tech Due Diligence Cost and Checklist
Technical due diligence on a SaaS acquisition costs anywhere from $49 to $99 for an automated code scan on a micro SaaS, about $5,000 for a quick pre-LOI check by a specialist, and $15,000 to $30,000 for a standard fixed-fee review of a business doing $1 million or more in EBITDA. Multi-product targets run $25,000 to $50,000 and up. Turnaround ranges from same day for a scan to two to four weeks for a full engagement.
Verified MRR, churn and growth on every listing · no buyer success fee · from $99 a month · cancel any month
Target
The 0.1% to 0.3% rule of thumb puts this deal at .
Lowest published price shown as a share of the purchase price · our arithmetic · not advice
Those numbers are the published prices of five providers, read on their own pages on 6 October 2026 and listed below with the scope each one covers. One European firm puts the typical cost at 0.1% to 0.3% of the purchase price, which is a useful sanity check on a $5 million deal and useless on a $150,000 one, where a full review would eat several percent of the price.
Tech due diligence answers a different question from financial diligence. A quality of earnings report tells you whether the revenue is real. A technical review tells you whether the product that earns it can keep running, scale, and be maintained by someone other than the founder: code quality, architecture, security, open-source licences, hosting cost, deployment and the people who know how it all works.
This page is educational. It is not legal, tax or investment advice, and the providers named are not partners of Buyouts.
A code review tells you whether the product can keep earning. It cannot tell you whether it earns what the seller says. Check the revenue first, then pay for the code.
Read on each provider’s own page, 6 October 2026
What technical due diligence costs, provider by provider
Every price below is the provider’s own published figure. Euro prices are shown in euros because that is how the firm quotes them. Where a provider publishes a range rather than a fixed fee, the table gives the range.
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| Provider and service | What you get | Published price | Turnaround |
|---|---|---|---|
| Ascertify, automated code audit | Static scan of the repository for exposed credentials, vulnerable dependencies, licence conflicts, unfinished features and maintainability. No penetration test, no financial or legal review. Aimed at deals under $100,000 | $49 for the first 50 scans, then $99, with a 7 day refund | Same day |
| Async Advisor, pre-LOI sanity check | A short senior review before you commit to an offer | $5,000 fixed | 48 to 72 hours |
| Async Advisor, standard review | Single-entity target with one core platform, $1M to $20M EBITDA | $15,000 fixed | 5 business days |
| Async Advisor, multi-entity | Several products or entities | $25,000 to $40,000 | 7 to 10 business days |
| MEV, search fund and ETA deals | Code, architecture, key person and IP review with remediation costs, a 12 to 18 month roadmap and a lender-ready summary | $5,000 to $30,000 flat | 2 to 4 weeks |
| VeryDiligent, red flag review | Early-stage assessment of the main risks | €10,000 to €15,000 | 5 to 7 business days |
| VeryDiligent, standard review | Architecture, code quality, security, infrastructure and engineering team | €20,000 to €30,000 | 2 to 3 weeks |
| madewithlove, standard engagement | Team and key person dependency, architecture, processes, documentation, security and AI tooling, with an executive summary and action roadmap | €15,000 to €30,000 | 10 business days |
| Buyouts Buyer Access | Verified MRR, churn, growth and customer count on every listing, full metric breakdowns and data room requests. Buyouts does not audit code | $99 a month, no buyer success fee | Before you make an offer |
Sources: ascertify.io/due-diligence, asyncadvisor.com/tech-due-diligence, mev.com (technical due diligence for search funds, published 11 August 2026), verydiligent.com (pricing article dated 4 June 2026) and madewithlove.com (article dated 18 May 2026), all read on 6 October 2026. The 0.1% to 0.3% of purchase price rule of thumb is madewithlove’s. Big advisory firms quote by the hour and publish no fixed fee, so they are not in this table.
The tech due diligence checklist
Tech due diligence checklist for buying a SaaS business
These are the areas every provider above covers in some form, written as what to ask the seller for and what finding should change your price or your deal terms. On a micro SaaS you can run most of it yourself in a day with repository access; on a larger deal, hand it to a firm.
Swipe to see every column →
| Area | What to ask the seller for | Finding that should change the deal |
|---|---|---|
| Repository access | Read access to every repository, including infrastructure code and old branches | Code that only exists on the founder’s laptop or in a contractor’s account |
| IP ownership | Contractor and agency agreements with IP assignment clauses | Core code written by an outside agency with no signed assignment |
| Open-source licences | A dependency list with licences, or a licence scan | A copyleft licence (GPL, AGPL) inside code you will ship to customers |
| Secrets and credentials | Where API keys and passwords live | Keys committed in the repository history that were never rotated |
| Dependencies | Framework and runtime versions | An unsupported framework version that forces a rewrite within a year |
| Security | The last penetration test or security review and what was fixed | Open critical findings, or customer data stored without encryption |
| Hosting and cost | Twelve months of cloud invoices and the account owner | Hosting that grows faster than revenue, or an account in the seller’s personal name |
| Third-party APIs | Every paid API and its terms, including AI model providers | Gross margin that depends on one API price the seller cannot control |
| Deployment | How a change gets to production and who can do it | Manual deploys that only the founder knows how to run |
| Tests and monitoring | Test coverage, error tracking and uptime history | No tests on billing or data paths, no alerting |
| Data and privacy | Where customer data is stored and the privacy policy it was collected under | Personal data you cannot lawfully take over in the transfer |
| Key person | Who wrote and who maintains each part of the system | One person holds all the knowledge and is not staying after closing |
| Documentation | Setup instructions a new engineer could follow | Nobody outside the company can get the product running locally |
| Transfer plan | The list of accounts, domains and services that must change hands | Accounts that cannot be transferred, only recreated |
Any red flag in the third column is a reason to renegotiate rather than walk away: a lower price, a longer transition period, an escrow holdback or a specific indemnity in the purchase agreement. Write the remediation cost into your offer, not into your first year of ownership.
Pay for the code review after the revenue checks out
A technical review is the most expensive diligence item most SaaS buyers commission, and it is wasted money if the revenue underneath it is not real. The order that saves the most is simple. Confirm MRR, churn and customer count first, sign an LOI with a diligence period long enough for the review, then put an engineer on the repository.
Every listing on Buyouts carries verified MRR, churn and growth before you make an offer, so the first gate is already done when you open the deal room. What we do not do is read the code. That part belongs to an automated scan on a small deal and to a specialist firm on a large one, and the table above shows what each costs.
Side by side
What Buyouts verifies against what a technical due diligence firm checks
A fair look at what each does well. Both are useful. Here is where they differ.
| Feature | Buyouts | A technical due diligence firm |
|---|---|---|
| MRR, churn and growth | Verified on every listing before you make an offer | Out of scope, that is financial diligence |
| Code quality and architecture | Not reviewed | The core of the engagement |
| Security and open-source licences | Not reviewed | Scanned and reported with severity |
| Key person dependency | Tech stack and reason for selling are on the listing; ask the rest through a data room request | Assessed through interviews with the engineers |
| When it happens | Before the LOI, while you are still choosing a deal | After the LOI, during exclusivity |
| Price | $99 a month for Buyer Access, no success fee | $5,000 to $50,000 and up per deal |
Comparison reflects general, publicly understood positioning. Capabilities change, so check each marketplace for the latest. Trademarks belong to their owners.
Why founders and buyers pick Buyouts
One deal room built specifically for AI SaaS
Scan before the LOI, review after
An automated scan costs less than a lunch meeting and catches the expensive surprises: committed secrets, abandoned frameworks, licence problems. Run it as soon as the seller grants read access. Save the paid human review for the exclusivity period, when you are close enough to closing to justify the fee.
Size the review to the deal
At 0.1% to 0.3% of price, a $5 million deal justifies a $15,000 review comfortably. A $150,000 micro SaaS does not. For small deals, an automated scan plus a few hours of a trusted engineer’s time on the checklist above covers most of the risk.
Key person risk is a technical finding
The most common deal-changing result is not bad code. It is that one person understands the system and is leaving. Every firm above interviews the team for this reason. Price it as a longer transition agreement or a holdback, not as a hope.
Keep reading on the parts of a deal this page touches: the full M&A due diligence checklist, the SaaS due diligence checklist for buyers, what a quality of earnings report costs, key person risk in a SaaS acquisition, how to verify MRR before buying a SaaS, writing the diligence period into your LOI, using a holdback when the review finds a problem.
Good questions
Technical due diligence, answered
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Listing figures are published by their sellers and self-reported · valuation content is educational, not a guaranteed sale price or return · trademarks belong to their owners