marketing@innominds.com

Quarterly Newsletter | Apr - Jun 2026

Highlights of the Quarter

This quarter marked significant step forward in Innominds' strategic growth and market presence. We announced a strategic partnership with Aquila Clouds, strengthening our ability to help enterprises maximize cloud ROI by bringing financial discipline, visibility, and AI-powered intelligence to their cloud operations. Our position as a trusted Digital Engineering partner was further reinforced with recognition in the latest ISG Provider Lens™ Digital Engineering Services study.

Thought leadership continued to gain momentum, with our QE expert Karthik Reddy writing in CXOToday on the need to move from isolated AI adoption in testing to AI-led Quality Intelligence — positioning quality as a unified, enterprise-wide intelligence layer that drives smarter decisions and measurable business outcomes. This came against the backdrop of accelerating industry trends, with worldwide AI spending projected to reach $2.59 trillion in 2026, transformer-based clinical NLP reshaping healthcare, and agentic automation and digital threads enabling up to 40% faster time-to-market in manufacturing.

On the delivery front, our case study on scaling product sustenance for a leading software product company showcased how we transform enterprise data management portfolios for engineering excellence, while our popular blog on AI-led drug discovery explored what it truly takes to win beyond partnership announcements. Our Learning Corner reflected on how AI is not replacing engineering but changing the context in which engineering is relevant.

Beyond work, InnoVoices celebrated a decade-long journey of growth at Innominds — from Market Research to Business Development — while our Passion Corner spotlighted Lalitha Sirisha Telikicherla, who trades her laptop for ghungroos, and our Innostars recognized the exceptional performers who made this quarter shine.

Letter from the Editor

Strategic Partnership

Innominds Partners with Aquila Clouds to Help Enterprises Maximize Cloud ROI

We're delighted to announce a strategic partnership between Innominds and Aquila Clouds.

As enterprises rapidly scale their AI, Data, and Cloud initiatives, optimizing costs and maximizing business value have become essential to sustained growth. This partnership helps our customers move beyond visibility to action — enabling effective governance, smarter cloud spending, and stronger ROI.

By combining Aquila Clouds' Andromeda™ platform for FinOps and BillOps with Innominds' expertise in AI, Data Engineering, and Cloud Transformation, we can offer customers the intelligence they need to optimize spend, strengthen accountability, and accelerate business outcomes.

"Our partnership with Aquila Clouds enables us to combine world-class engineering services with governance and optimization, helping customers maximize ROI from their AI, Data, and Cloud investments," said Divakar Tantravahi, CEO of Innominds.

This opens up exciting new opportunities across our AI, Data, and Cloud practices — watch this space for more on how teams can get involved.

Latest Trends

Worldwide AI spending is projected to reach $2.59 trillion in 2026, a 47% year-over-year increase. Growth is driven by expanding AI infrastructure and cloud capacity, while enterprise adoption accelerates through GenAI models and AI agents, positioning 2026 as a pivotal year for broader AI investment.

AI-driven clinical NLP is a key healthcare technology trend, evolving from rule-based systems to transformer-based models. It is increasingly used for automated clinical coding, EHR optimization, and medical entity recognition, reducing administrative workload and improving accuracy. Enabled by privacy-preserving methods like federated learning, the market is projected to grow at 23.33% CAGR, reaching $2.46B by 2026 and $13.15B by 2034.

AI-driven agentic automation and digital threads are reshaping manufacturing, enabling up to 40% faster time-to-market and improved regulatory accuracy. By 2030, semiautonomous AI agents may manage 10% of production operations. However, rising AI integration could also increase system costs and vendor lock-in risks across industrial ecosystems.

Innominds continues to strengthen its position as a trusted Digital Engineering partner with recognition in the latest ISG Provider Lens™ Digital Engineering Services study.

We have been positioned as a Contender across all evaluated quadrants in both the U.S. and Europe, with a Product Challenger recognition in the U.S. for Intelligent Operations & Connected Experiences.

Thought Leadership

AI investments are accelerating across industries—but are they truly delivering the expected value and ROI? In this CXOToday article, our QE expert Karthik Reddy outlines the need to shift from isolated AI adoption in testing to AI-led Quality Intelligence—positioning quality as a unified, enterprise-wide intelligence layer that drives smarter decisions and measurable business outcomes.

The AI-led Drug Discovery Race Is On — But Winning Requires More Than a Partnership Announcement

Data Readiness for AI: The ISV Blueprint for Clean, Governed, and Activation-Ready Data

Scaling Product Sustenance for Engineering Excellence

Innominds partnered with a leading software product company to transform product sustenance across its enterprise data management portfolio. By implementing a scalable sustenance model, we enhanced reliability, streamlined release management, and enabled continuous product improvements across seven enterprise products.

Business Impact:

Managed sustenance across 7 enterprise products with a dedicated engineering team.
Delivered 800+ enhancements, fixes, and releases annually.
Reduced operational costs by 20% through a scalable delivery model.
Faster issue resolution, improving customer satisfaction
Enabled on-time, zero-regression releases while improving accessibility compliance.

Learning Corner

AI is not replacing engineering; it is changing the context in which engineering is relevant
By Mahalingam Murali Iyer, Senior Technical Lead, Experience Engineering

Generative AI has quickly evolved from a coding assistant to a capable development partner.
It can scaffold applications, turn designs into components, and generate large amounts of code in minutes.
But our experience taught us a valuable lesson: AI speeds up the implementation process.
Engineers make sure it’s correct. The areas where

AI Provides the Greatest Benefits

AI is particularly strong at doing repetitive, structural development tasks:

Application and component scaffolding creation
Convert designs to user interface components
Generating boilerplate and repetitive patterns
Speeding up the initial operational implementation

Key Point: The bottleneck is no longer the first draft of an application.

Where Artificial Intelligence Still Struggles

Even with detailed requirements, the AI can miss important details . Large language models work in such a way.

1.Weakening of Attention

In long requirement documents, thousands of other tokens compete with small but critical instructions.

Result: More likely to violate UI rules, configuration values and design constraints.

2.Training Priors Override Project Rules

If requirements are fuzzy or unclear, AI falls back to traditional implementation paradigms learned during training.

Result: Technically correct solutions, but not always aligned with project requirements.

3.Contextual Placement is Important

Instructions placed at the beginning and end of prompts are remembered more effectively than those hidden in the middle.

Result: Critical requirements may be missed.

What Works Better

Teams are finding that restructuring prompts is getting better results than expanding documentation.

Best practices are:

Highlight key constraints first.
Make explicit statements including what is not permitted.
Provide limited but relevant context.
Reference authoritative implementation artifacts.

Where Engineers Deliver the Greatest Value

AI assumes a greater role in implementation and engineering effort is freed up for higher value activities.

Assessing business regulations
Assessing architectural and design choices
Maintaining consistency in behavior
The fidelity check of design
Handling regressions and integrations
Choosing which buildings should not be built

Such obligations require context, judgment, and accountability that humans are still best at.

In Conclusion

The future is not an engineer vs. AI battle.

Engineers and AI are working together, each person doing what they do best in the field.

The first draft is written by artificial intelligence. Engineers build guardrails, provide guidance, verify correctness, and ship production-ready software. That is where the biggest productivity gains are coming.

InnoVoices

A Decade of Growth at Innominds

Ten years at Innominds have been a journey of constant evolution from Market Research in 2016, to Inside Sales, and now Business Development, solving complex problems that drive real business outcomes. Along the way, I've witnessed the shift toward data-driven decision-making and grown through a culture of collaboration and ownership. Each challenge has built resilience and adaptability. I look forward to new challenges and growing further with Innominds.

Surya Teja Medavarapu

Lead - Inside Sales

Passion Corner

Dancing Through Tradition

Featuring: Lalitha Sirisha Telikicherla, Trainee, Mobility

My journey with Kuchipudi began years ago and has grown into one of the most defining parts of my life. With eight years of formal training and a completed Kuchipudi certification, classical dance has taught me discipline, dedication, and the joy of preserving an art form that carries centuries of tradition. Being recognized as a B-Grade Artist by Doordarshan remains one of my proudest milestones.

Over the years, I have had the privilege of performing at some of the most prestigious spiritual and cultural platforms in the country, including Tirumala (Naada Neerajanam), ISKCON, Chidambaram, and Srisailam. Each performance has been a deeply humbling experience, connecting me to audiences, tradition, and something larger than myself. One of the most memorable moments of my journey was being part of a Guinness World Record performance alongside more than 5,000 artists—a powerful reminder of how art can bring people together on an extraordinary scale.

A significant part of what makes this journey sustainable is the environment at Innominds. The organization's culture of encouraging individuality and supporting passions beyond the workplace has allowed me to balance my professional responsibilities with my commitment to dance. The flexibility, trust, and encouragement from leadership and colleagues have enabled me to continue performing, practicing, and teaching without compromising on either front. At Innominds, I've experienced firsthand that when an organization celebrates the whole person—not just the professional—both sides flourish.

This journey continues to be driven by my love for Kuchipudi, my desire to keep the tradition alive, and my hope to inspire more people to experience the beauty of classical dance. I look forward to many more performances and to nurturing the next generation of dancers.