Technology Evaluation

Cut through vendor noise. Decide on evidence.

Rigorous, vendor-neutral assessment grounded in your real workloads — code audits, architecture reviews, proofs of concept, and cost modeling. Since 1996, our evaluations have paid for themselves many times over.

The practice

An honest answer, before the money moves.

Technology decisions are expensive to make and more expensive to unmake. SureSoft® evaluates the things those decisions rest on — the code, the architecture, the candidate platforms, the true costs — and reports what the evidence says, whether or not it is what anyone hoped to hear. We are vendor-neutral: the recommendation serves your workload, not a reseller margin.

The same evaluation lens turns inward, too. In engagements with object-oriented codebases, we have cut as much as seventy percent of the lines of code while delivering more functionality, greater stability, better performance — and the test automation to prove all three. Fewer lines, doing more, is a recurring result of evaluating code the way we do.

Underneath every engagement runs the same discipline: DevOps done correctly. Automated builds, automated tests, and proactive error reporting are what turn a one-time evaluation into stability that lasts — on some very complex systems, small changes guided by a correct evaluation have meant smooth operation, early warning instead of silent failure, and the closing of gaps that were losing or corrupting data.

What we evaluate

Six lenses. One standard of evidence.

Code audits

The codebase read closely and honestly — quality, structure, hidden risk, and what it will actually cost to live with. Essential before an acquisition; clarifying any time.

Architecture & systems review

How your systems work and communicate, reviewed by enterprise architects — approach corrected, infrastructure improved, and gaps closed before they lose or corrupt data.

Workload-based proofs of concept

Candidate technologies proven against your real workloads — not the vendor's benchmark, not a toy dataset. Yours.

Total cost of ownership modeling

What it costs to buy, run, staff, and eventually leave — modeled before you commit, not discovered after.

Risk and migration-path analysis

What can go wrong, what it takes to move, and the order to do it in — so the decision comes with a route, not just a verdict.

AI that works

Because we evaluate — and build — the data foundation first. A model is only as good as the information you feed it.

The judgment

AI can assist an evaluation. It cannot own one.

Some of our competitors run their evaluations through AI agents, and the agents are impressive — we use them ourselves where they help. But an evaluation hinges on understanding what the business is actually trying to accomplish, and that understanding lives outside the codebase: in conversations, constraints, and history an agent cannot see. Agents get misled; core purposes get missed.

That difference shows most in architectural reviews, and often in code evaluation: side by side with AI-proposed approaches, our recommendations have repeatedly proved more creative and more sound — because they answer the business, not the prompt. The standard for an evaluation is not what a model prefers. It is what the evidence and the business require.

The work in numbers

Delivered engagements. Measured outcomes.

The stories are genericized — our clients' business is their business. The numbers are not.

Technical Due Diligence — Software Acquisition

A pre-acquisition code audit that saved over $6 million

A global software company was acquiring another firm — the contract already underway. SureSoft audited the target's codebase and exposed the problems living inside it, delivering a prioritized list of what needed to be fixed and what it would take. The buyer went into the deal seeing clearly, and later credited the audit with saving more than six million dollars on the investment.

Code problems exposed before the deal closed
Prioritized fix list delivered to the buyer
Over $6 million saved on the investment, per the client

Performance Recovery — Enterprise Codebase

Memory leaks found and plugged — performance up more than 30%

A customer's system was underperforming and nobody could say why. SureSoft examined the code and found memory leaks throughout. Plugging them raised overall performance by more than thirty percent — no new hardware, no rewrite, the same system doing its job the way it always should have.

Memory leaks identified across the codebase
Performance improved by more than 30%
No hardware changes and no rewrite required

Code Audit — Software Vendor

A two-week audit that won the contract — and lasted for years

A software vendor's product began dropping connections at random once a system passed roughly five hundred of them — sometimes fewer, sometimes more. Most customers never ran above two or three hundred connections, so the failure was rare and nearly impossible to track. But the vendor was pursuing a contract with a national institution whose much larger user community exposed the problem in full. SureSoft's audit found the root cause — incorrect memory management writing to previously used addresses — and our fixes closed it. The vendor won the contract, and the product's overall performance and stability rose with it. The audit took a couple of weeks. The benefits lasted for years.

Random connection drops traced to incorrect memory management
Root cause found in a two-week audit
The contract with the larger client was won
Product-wide performance and stability improved for years after

Where it leads

The evaluation is the map. We also build the road.

Many evaluations end with a decision — and begin an engagement. The same team that found the problems can fix them: improving the code you own, building what off-the-shelf cannot do, and preparing the data foundation that makes AI work.

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