Princeton, New Jersey | Bellevue, Washington, November 13, 2025: Neurealm, an AI-first tech services company, today announced a strategic partnership with CoreStack, a global leader in AI-powered cloud governance and security, to deliver a new era of intelligent, secure, and efficient multi-cloud operations. This collaboration marks a major step forward in Neurealm’s mission to help enterprises modernize with confidence — combining Neurealm’s deep expertise in digital transformation and platform engineering with CoreStack’s award-winning governance, security, and automation platform. Together, the companies are empowering organizations to innovate faster, operate smarter, and optimize cloud investments with full visibility and control.

Driving Business Impact Through Intelligent Governance

As enterprises scale across multiple clouds, the complexity of managing cost, security, and compliance continues to rise. Through this alliance, Neurealm and CoreStack are introducing an integrated approach that unifies financial, operational, and security governance under one intelligent framework.

• Accelerate digital transformation through intelligent automation and continuous compliance.
• Reduce cloud waste and optimize spend via CoreStack’s FinOps+ capabilities.
• Strengthen security and governance posture through SecOps frameworks aligned with HIPAA, PCI-DSS, and other industry standards.
• Simplify cloud operations with real-time visibility, policy-based orchestration, and end-to-end operational intelligence.

“Through our partnership with CoreStack, we’re empowering enterprises to move faster and smarter across clouds — turning governance into a catalyst for innovation. Together, we believe the future of digital transformation will be shaped by intelligence, automation, and trust.” – Harmeet Chauhan, CEO, Neurealm

“Our strategic alliance with Neurealm is more than a partnership — it’s a catalyst for intelligent transformation across industries. By fusing CoreStack’s AI-powered governance with Neurealm’s cognitive technologies, we’re unlocking a new frontier in healthcare: where cloud-native automation accelerates innovation, safeguards compliance, and empowers care delivery like never before.” – Ezhilarasan (Ez) Natarajan, CEO, CoreStack

Strategic Alignment and Growth Vision

This partnership supports Neurealm’s broader growth strategy of building business through ecosystem expansion and technology alliances. By integrating CoreStack’s governance technology within Neurealm’s RunOps and Cloud Transformation practices, the company strengthens its ability to deliver end-to-end modernization solutions that align with customer priorities in performance, security, and sustainability.

Initial joint offerings — including Neurealm Govern Ops powered by CoreStack — will be targeted toward regulated industries such as healthcare, financial services, and technology, where cloud adoption requires both agility and compliance. 

About CoreStack

CoreStack is an AI-powered next-generation cloud governance and security platform that enables enterprises to govern, optimize, and secure multi-cloud environments. The platform currently manages over US $2 billion in cloud spend across 750+ global enterprises. Founded in 2016 and headquartered in Bellevue, Washington, with operations in India, CoreStack is backed by approximately US $96 million in funding and recognized by Gartner, Forrester, IDC, and Frost & Sullivan for innovation in multi-cloud governance. CoreStack’s CR360™ System of Intelligence unifies FinOps+, SecOps, and CloudOps capabilities, giving organizations a single system of record to automate, optimize, and secure their cloud operations. Learn more at www.corestack.io

The scene in the movie 3 Idiots, where Rancho asks the students and the head of the engineering college to define a non-existent term, feels strikingly relevant today amid the frenzy surrounding AI. In that scene, every student rushes to search for the made-up term in their textbooks without questioning the merit or genuine nature of the term itself. The frantic page-flipping and the desperate attempts to come up with an answer about something that doesn’t exist remind me of what’s happening among many CXOs today in their race to adopt Gen AI.

Every CXO is rushing to declare they have moved beyond the pilot stage and into monetization, claiming they have evolved from explorer to executioner, armed with a ready-made platform to deliver business impact. We have seen such madness and chaos before with every new wave of technology: Automation, AIOps, Cloud, VDI, and many more. So, is everything truly “green” in AI?

Recently, news circulated across the industry that Deloitte had refunded a sum to the Australian Government due to the errors in their output, apparently caused by AI. While some found this surprising, it wasn’t the first time something like this had happened. 

• In June 2024, McDonald’s stopped the use of its AI-powered drive-thru ordering system. 
• Replit, a coding assistant tool, accidentally deleted its actual database and created thousands of fictional users. 
• Air Canada was even compelled to compensate a passenger for the lies churned out by its chatbot. 

These are just a few instances of AI failures among the many that are happening around us. The fault doesn’t lie with the AI technology itself, but with the industry’s forecasters, analysts, and vendors.

We have heard these predictions many times before. When cloud computing emerged, industry analysts claimed that traditional IT infra services would vanish. Yet, even after 15 years, the cloud hasn’t replaced them. Around 2018-19, similar forecasts suggested that automation would eliminate half of all engineering jobs. Look where we are today.

Now, the same narrative is resurfacing. This time, it’s GenAI that’s expected to replace up to 50% of the IT workforce. Most vendors, particularly IT service providers, tend to echo these analyst predictions. But, can AI truly reduce the workforce significantly?

I remember the very first meeting I had with Professor Nandan Sudarsanam, IIT Madras, at his office. He clearly said that AI cannot guarantee perfect results. Rule-based programs will guarantee conformance to the rule, but AI models are benchmarked on predictive accuracy. At worst, they are just better than random chance; at best, we can get near-perfect predictions, so there is a wide range. This depends upon the quality of the data, availability of meaningful features and noise in the system, volume of data, complexity of the environment we seek to model, and data drift.

This means that if we deploy AI in a call center, up to 10% of customers may not get the right responses. Similarly, a code converter may not be able to convert all the legacy codes into a modern language, and a report generator may give unasked-for reports one out of 10 times. Are we ready to tolerate these margins of error?

Every CFO is asking for returns in the form of hard cash for the investment made on AI. The true quantitative returns can come from reducing the human workforce only, as AI cannot be expected to replace anything else, neither the hardware nor the software. If we have to replace humans with AI, the error percentage of the AI models has to be significantly low.

As of today, activities like writing, creating images, graphic design, and text analysis, are relatively more error-tolerant, with acceptable error rates of up to 50%. However, these activities alone cannot replace enough human effort to provide significant returns.

Some tasks like predicting an outage or a security threat in IT systems, forecasting demand for a specific item in the market, or recommending a loan to a customer, can tolerate a higher error margin (1% to 10%) because the consequences of an error are relatively minor. However, even here, the savings in the human workforce alone are often insufficient to generate a significant ROI.

The real savings will come from deploying AI in what I call ‘real-time business activities,‘ such as call centers, IT help desks, invoice, payment, claim, or order processing, fraud detection, and similar areas, where actions are executed and results get delivered in real time. These activities employ large human workforces across industries, however, AI must achieve extremely high accuracy in these tasks, typically producing fewer than 1% errors. 

But, how can we do that?

Well, there are many techniques to improve the accuracy (I mean reducing the errors), and one of them is Human-in-the-Loop (HITL). It means bringing humans to validate every outcome of AI models every single time. The moment we bring in HITL, the quality of the delivery improves, but not the savings. The CIO, CTO, or CISO will be happy with these qualitative improvements, but not the CFO who expects real cash.

In my last blog, I explored how AI is transforming data documentation and metadata management, turning catalogs into intelligent interfaces rather than static repositories. In case you missed it, read it here.

But here’s the next big question: if AI can now generate SQL queries, optimize pipelines, and even explain dashboards in plain English, which modern data platform is leading the way?

That’s what this installment tackles. I will compare how Databricks, Snowflake, and Microsoft Fabric are embedding AI and LLMs directly into their platforms to enhance data engineering and analytics.

Platform-Level AI

AI in data platforms is no longer an “add-on.” It’s being built natively into workflows, shaping how teams code, discover data, and generate insights. Key areas of infusion include:

• Code generation (SQL, Python, ETL)
• Data discovery and lineage automation
• Pipeline optimization
• Model development and deployment
• Natural language interfaces for analytics

Let’s explore how each platform is building these capabilities.

Our AIOps platform, ZIF, was recognized as the Best AIOps/MLOps Tool at the 2025 DevOps Conclave & Awards, organized by UBS Forums Pvt. Ltd. The awards highlight path-breaking achievements in the DevOps space, honoring those who demonstrate exceptional innovation and leadership.

We deeply appreciate this honor and remain dedicated to empowering our customers to achieve rapid, sustainable success by transforming their operations into Zero Incident Enterprises.

About ZIF

Neurealm’s Zero Incident Framework (ZIF) is an on-premises SaaS solution that helps organizations move toward a Zero Incident Enterprise. It enables proactive detection and remediation of incidents, improving uptime and ensuring high-performing, reliable IT systems.

With comprehensive end-to-end visibility, the platform empowers IT teams to manage and optimize resources and assets more effectively, driving measurable business value. Its modular approach includes agentless auto-discovery, agentless monitoring, correlation and noise reduction, predictive analytics, and automation. These capabilities transform enterprise IT delivery by optimizing infrastructure performance, preventing data disasters, and ensuring continuity of essential business services.

Click here to transform your IT operations with ZIF.

Neurealm Strengthens India Operations with Appointment of Shyamalendu Panda as GCC Leader 

Chennai, India, September 17, 2025: Neurealm, a global AI-first technology services company, has embarked on an AI first approach for addressing the needs of GCC as well. Neurealm is pleased to appoint Shyamalendu Panda as its GCC Leader in India. In this role, Shyam will spearhead Neurealm’s mission to accelerate growth and drive meaningful value for GCCs. Leveraging over two decades of industry experience, he will champion innovation-led collaboration, helping GCCs realize their full potential as global engines for digital transformation and technology excellence.

Welcoming Shyam to the team, Rajaneesh Kini, COO, Neurealm, said,

“We are delighted to have Shyam join us at such a transformative moment for the GCC ecosystem in India. Shyam’s deep expertise, leadership credentials, and passion for innovation perfectly align with Neurealm’s vision to empower GCCs beyond operational delivery—toward true technology leadership and global value creation.”

Known for his consultative approach and proven ability to deliver complex digital transformation initiatives, Shyam brings deep expertise in engineering services and cutting-edge technologies including Cloud, AI, Data Analytics, IoT, and Cybersecurity, across key sectors such as Telecom, MedTech, Software, and Automotive.

“Driving meaningful value has always been my passion, and the GCC ecosystem offers the perfect platform to make that impact. I look forward to partnering with key stakeholders to help GCCs unlock their full potential—especially in this new era where an AI-first approach is rapidly reshaping the way we innovate, operate, and deliver outcomes.”  said Shyamalendu Panda, GCC Leader, Neurealm

Balaji Uppili, CBO – India & UK, Neurealm added, “As we scale and deepen our partnerships with customers in India, GCCs will be a cornerstone of our India growth strategy. With GCCs increasingly taking a transformative approach and delivering greater strategic value to their headquarters, Neurealm’s AI-first approach—applied across SDLC, RunOps, and business value creation—aligns perfectly with their ambitions. Our proven history of setting up and transforming GCCs positions us to accelerate this journey together.”

Shyam’s appointment underscores Neurealm’s strong commitment to advancing the GCC ecosystem in India by leveraging cutting-edge technologies and fostering transformation-led partnerships.

New Jersey, US, Chennai, India, September 10, 2025: Neurealm, an AI-first technology services company, today announced the launch of its AI-Powered Software Development Lifecycle (SDLC) offering. Designed to modernize software development, the offering delivers structure, speed, and measurable ROI by addressing key challenges in AI-powered engineering—unstructured workflows, quality risks, and lack of governance.

The offering combines AI-ready Teams, Workflows, and the power of technology –  NeuGAIN platform, to accelerate productivity and ensure disciplined execution across the SDLC.

Neurealm’s engagement model goes beyond traditional service delivery. It brings together cross-functional teams composed of technologists, domain experts, and process enablers, working in close partnership with customers. This model ensures alignment with business goals, technology strategies, real-time course correction, and accountability at every step of the journey.

Manisha Deshpande, Digital Platform Engineering Practice Leader, Neurealm, said,

“Through real-world experience, we’ve learned that successful AI-powered engineering requires continuous adaptation, deep collaboration, and ownership of outcomes. Our hands-on engagements have taught us to focus on practical solutions that drive tangible business results. This learning is now embedded in our offering, giving customers a clear path to predictable success.”

Mahesh Maddur, AI Practice Leader, Neurealm, emphasized,

“NeuGAIN is the technology behind this offering. It does more than integrate AI into the SDLC—it measures, guides, and accelerates it. By tracking over 100 key metrics across code quality, velocity, and ROI, NeuGAIN brings transparency and accountability, moving AI from experimental projects to enterprise-grade solutions.”

With proven outcomes, including up to 60% faster development cycles and significant reductions in effort and cost, Neurealm is setting a new benchmark for how enterprises can harness AI to supercharge their SDLC.

Rajaneesh Kini, COO, Neurealm, said,
“With this launch, Neurealm reinforces its vision of AI as a core capability, not an add-on. It turns our engineering expertise into a repeatable, scalable model. By combining the speed of AI with the rigor of disciplined engineering, we enable our customers to innovate faster, compete smarter, and operate better in an AI-driven future.”

For more information, please visit https://www.neurealm.com/engineering/ai-powered-sdlc/