Someone is about to look closely at a technology organization, and the answers matter. An investor is evaluating a target. An acquirer is validating what they're buying. Or a company is nine months from a raise and would rather find the problems before a stranger does.
Whitehorn Ltd. Co. performs that review and reports what we find in terms both engineers and boards can act on. We are not the auditor and we do not certify anything. We tell you what is there, what it will cost to fix, and what happens if it isn't fixed.
What We Examine
Four areas, weighted to the questions you're actually asking
Codebase & Architecture
Structure, coupling, test coverage, and the decisions that will constrain the next three years. Where the debt actually costs money, not just where it looks untidy.
Team & Delivery
Team structure, seniority mix, and how work moves from idea to production. Whether velocity is a process problem, an architecture problem, or a staffing problem.
Data & Infrastructure
What the platform costs to run, whether that cost scales with revenue or ahead of it, and how close the data layer is to its limits.
Key-Person Risk
What lives in one person's head and nowhere else. This is the finding that most often changes a valuation, and the one least likely to be volunteered.
What You Get
A document your board can read and your engineers can't dismiss
We deliver written findings, dependency maps showing how the system actually fits together, a risk register with impact and likelihood, and a remediation roadmap with sequencing and cost. Then we walk your team through all of it in person.
The same artifact serves both sides of a transaction. On the buy side it tells you what you're acquiring. On the sell side it tells you what a buyer will find, while there is still time to do something about it.
Who Performs the Review
Someone who has been on the other side of it
Engagements are led directly by our founder, who has been a CTO twice, scaled an engineering organization from 2 people to more than 30, and taken a company from seed through Series A. That includes sitting in the room while investors asked these questions, and answering them.
That matters here more than in most work. A diligence review written by someone who has never carried the pager tends to flag everything equally. Knowing which findings are survivable and which are not is the entire value of the exercise.
Related Work
The same review, at larger scale
Our legacy assessment is the same discipline applied to older systems: inventory, dependency analysis, risk, and a roadmap. Our case studies show what happens after the findings, including a platform rewritten with zero downtime and a data platform re-architected past ten billion rows.
Buying, selling, or raising? Let's talk about what the review needs to answer.
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