Aeries Technology Delivers ~30% Faster Development Cycles Through AI-Enabled Engineering
Rhea-AI Summary
Aeries Technology (NASDAQ: AERT) has successfully completed an AI-driven application modernization project for a digital platform client, achieving ~30% faster development cycles through AI-enabled engineering practices. The transformation, completed in under five months, integrated AI into core development workflows including automated testing, code review, and pipeline optimization.
The implementation resulted in accelerated feature releases, reduced technical debt, and enhanced engineering productivity. Following the success, the client is exploring expanding these practices across additional business units. Unni Nambiar, CTO at Aeries Technology, emphasized that AI-enabled engineering has become crucial for digital platforms in competitive markets.
Positive
- Achieved ~30% faster development cycles through AI implementation
- Completed transformation in under 5 months, demonstrating rapid time-to-value
- Client initiated internal reviews for expanding implementation across other business units
- Successfully improved code quality and deployment reliability
Negative
- None.
Insights
Aeries' AI-driven dev tools delivered 30% faster cycles, driving client expansion opportunities and showcasing repeatable engineering transformation capabilities.
Aeries Technology's announcement demonstrates tangible AI implementation success in software development—achieving approximately
The company has created a comprehensive AI engineering transformation approach by targeting multiple development workflow phases simultaneously: automated test generation, code review assistance with policy guardrails, and pipeline optimization. This multi-pronged strategy addresses the full software development lifecycle rather than isolated improvements.
What's particularly notable is the rapid time-to-value—under five months from implementation to measurable results. This quick turnaround contradicts the often lengthy deployment cycles associated with transformative technology implementations.
The most significant business implication is the client's consideration to expand these practices across additional business units. This validates two critical aspects of Aeries' business model: the effectiveness of their solutions and their "land and expand" engagement strategy. When clients adopt technologies across multiple divisions, it typically leads to larger contract values and stronger vendor relationships that are more resistant to competitive displacement.
For investors, this represents evidence that Aeries can deliver measurable outcomes through its AI capabilities—particularly important as many companies struggle to translate AI investments into concrete business results. The replicability of their methodology suggests a scalable approach that could be applied across similar clients, potentially driving broader market adoption and revenue growth in Aeries' target markets.
AI-led application modernization drives client-wide expansion interest, supports repeatable engineering transformation playbook
NEW YORK, Oct. 01, 2025 (GLOBE NEWSWIRE) -- Aeries Technology, Inc. (NASDAQ: AERT), a global leader in AI-powered business transformation and Global Capability Center (GCC) services, today announced the successful completion of an AI-driven application modernization engagement with a high-transaction digital platform provider.
Aeries deployed AI-based software development and testing tools to deliver the engagement ~
The transformation was completed in under five months, demonstrating rapid time-to-value through AI-enabled engineering practices. The initiative embedded AI into core development workflows, including automated test generation and triage, code-review assistance with policy guardrails, and pipeline optimization for faster releases. The result was shorter time-to-market for new platform capabilities, reduced technical debt, and higher engineering productivity across systems supporting high-volume consumer interactions.
Following the engagement’s success, the client has initiated internal reviews to assess the applicability of these practices across additional business units. This momentum reflects strong satisfaction with the outcomes delivered and aligns with Aeries’ expansion-led engagement model.
“AI-enabled engineering is becoming a competitive imperative for digital platforms in fast-moving markets,” said Unni Nambiar, Chief Technology Officer at Aeries Technology. “When teams integrate AI into day-to-day engineering with the right governance and guardrails, both development velocity and quality improve. Our playbook is designed to deliver measurable outcomes quickly and then scale those capabilities safely across an organization.”
For investors, this engagement illustrates Aeries’ ability to secure AI-focused engineering programs, deliver rapid outcomes that can support broader rollouts, and apply replicable methodologies across high-transaction digital platforms. The outcomes achieved for this client demonstrate how Aeries translates AI practices into durable engineering advantages that can deepen relationships over time.
About Aeries Technology
Aeries Technology (NASDAQ: AERT) is a global leader in AI‑enabled value creation, business transformation, and Global Capability Center (GCC) delivery for private‑equity (PE) portfolio companies, supporting scalable, technology‑driven execution. Founded in 2012, its commitment to workforce development has earned it the Great Place to Work Certification for two consecutive years.
Media Contact
IR@aeriestechnology.com
Forward‑Looking Statements
This press release contains forward-looking statements, including statements regarding product launches, leadership strategy, business expansion plans, initiatives, and operational transformation. These statements are subject to risks and uncertainties as detailed in the Company’s filings with the U.S. Securities and Exchange Commission, which are incorporated herein by reference. Actual results may differ materially. The Company disclaims any obligation to update forward-looking statements except as required by law.