Irvine Tech Firm Saved Client $10 Million
Caylent helped Smarsh boost software productivity by embedding engineers and artificial intelligence.
Updated on Oct. 9, 2026 in Employment
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Irvine-based Caylent helped client Smarsh save $10 million in engineering capacity through the use of generative AI. This project transformed the client's software development lifecycle by embedding specialized personnel into the workflow.
Why it matters
The project demonstrates how companies are leveraging generative AI and external engineering support to significantly reduce operational overhead and improve product quality. By integrating new tools into existing workflows, businesses aim to lower defect rates and optimize resource allocation.
Smarsh achieved $10 million in capacity savings, reflecting a 30 percent improvement in test coverage and a 40 percent decrease in defect escape rates. These gains were driven by the deployment of 125 specialized forward-deployed engineers.
The players
Caylent
An Irvine-based technology firm that specializes in Amazon Web Services infrastructure and provides outsourced engineering expertise to corporate clients.
Smarsh
A technology company that leverages external partnerships to manage its software development lifecycle and improve product testing capacity.
Amazon Web Services
A major cloud provider that offers the computing infrastructure required for corporate software development and generative AI deployment.
The details
Caylent utilized its status as an Amazon Web Services Premier Partner to embed forward-deployed engineers (FDEs) directly into the Smarsh development team. By integrating Claude Code into the company's software development lifecycle, the engineers were able to rebuild operating models. This structural shift allowed the client to automate testing and refine code quality beyond traditional manual oversight.
Timeline
The operational improvements were reported as of 2026.
Money Landscape
This project follows the broader industry trend of adopting generative AI to optimize software development efficiency. It highlights how firms are shifting capital toward AI-integrated engineering models to secure measurable improvements in output quality.
While this news focuses on business-to-business capacity, it highlights how firms are reallocating budgets toward high-efficiency engineering models. Professionals should monitor how these efficiency shifts affect local hiring demand for specialized tech roles in the Irvine area.
The takeaway
The successful implementation of embedded engineering models can lead to substantial reductions in product defects and operational costs. Business leaders should consider reviewing their own software development workflows for integration opportunities with specialized artificial intelligence consultants.
Further reading
For more on the local labor market and workforce trends, visit Employment.
Source note: This article includes information reported by CRN.
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