Kaizenology
Technical code review and validation of an AI infrastructure project.
Industry
Fintech
Project scope
Technical assessment of AI infrastructure module’s source code, documentation, and performance
Country
Timeline
About the client
Kaizenology is Stéphane Rogovsky's advisory and dealmaking company specializing in M&A, capital raising, and strategic transactions. The company helps businesses, investors, and strategic partners evaluate opportunities and maximize the value of business and technology assets throughout the transaction process.
Challenge
Kaizenology required an independent sanity review of a confidential AI infrastructure IP portfolio. They didn’t need a full due diligence or security audit. The objective was to verify the functionality of the main software module, assess the technical consistency of the delivered source code package, and provide an objective engineering assessment to support further evaluation.
Key project goals:
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Verify implementation. Validate that the main SPRF module could be executed locally and behaved as described in the technical documentation.
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Evaluate technical consistency. Review the source code package and supporting modules for alignment with the documented requirements.
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Provide an independent assessment. Deliver a concise report summarizing findings, limitations, and recommendations.
Solution
Krononsoft conducted a technical code review and validation of an AI infrastructure module and its associated source code package. The engagement focused on verifying the implementation, evaluating technical consistency, assessing performance, identifying technical issues and areas for improvement.
Technical implementation review
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Reviewed the core AI module, verified local deployment and execution.
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Validated API functionality and tested key behavioral scenarios, including new requests, duplicate detection, session handling, and related processing logic.
Source code and documentation assessment
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Compared the source code package against the accompanying technical documentation.
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Reviewed supporting modules to confirm technical consistency between the documented design and implemented functionality.
Performance testing
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Performed local load testing using Locust to evaluate response times, throughput, and stability under representative test scenarios.
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Verified successful request processing and analyzed system behavior under varying concurrency levels.
Engineering recommendations
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Identified opportunities to improve automated test coverage, dependency management, code organization, and technical documentation.
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Conducted a follow-up review after selected improvements were implemented and provided an updated technical assessment.
Founder at Kaizenology
“Krononsoft provided a clear and efficient independent technical review of our main module. They confirmed that it could be run and tested locally, identified practical improvement points, and delivered a useful written report that helped us move the project forward with more confidence.”
Results
The engagement provided Kaizenology with an unbiased technical assessment of the main AI infrastructure software module, confirmed its behavior under the tested conditions and identified practical improvements to strengthen the quality of the source code package. Following the implementation of selected recommendations, Krononsoft performed a follow-up review and updated the assessment.
Key outcomes:
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Verified local deployment and execution of the main SPRF module.
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Confirmed API functionality and validated key behavioral scenarios.
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Verified technical consistency between the reviewed source code package and technical documentation.
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Completed local load testing with zero failed requests across all executed test scenarios.
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Identified opportunities to improve source code and documentation.
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Delivered a technical report to support conversations with brokers, investors, and prospective buyers.
Performance testing results
Test scenario
Result
Low concurrency
2,922 requests, 0 failures, average response time 6.53 ms
High concurrency
42,356 requests, 0 failures, average response time 114.37 ms
Expertise applied
At Krononsoft, we don’t offer a one-size-fits-all code review, we adapt our review process to different types of software systems and the purpose of the engagement. The Kaizenology project demonstrates how we approached an independent technical review of an AI infrastructure module.
What the audit included
Local deployment validation
API behavior verification
Functional alignment check
Technical coherence review
Load testing with Locust
Technical recommendations
What wasn't part of this audit
Full due diligence
Security audit
Production certification
Commercial valuation
Need an independent technical assessment of your software?
Whether you need to review an AI application, validate software before investor or buyer discussions, assess an MVP built by another development team, or evaluate the maintainability of a production system, an independent code audit provides an objective view of implementation quality, architecture, performance, and technical risks.
Project snapshot
Client
Strategic advisory & dealmaking firm
Project
Technical review of an AI infrastructure
Timeline
May 2026
Team
2–5 specialists
Investment
<$10,000
Outcomes
Independent technical validation, technical issues identified and addressed