In an interview with TimesTech, Niraj Kumar, Chief Technology Officer of Onix, highlighted the pivotal role of data modernization in driving AI transformation. He discussed how Onix’s Wingspan platform, backed by proprietary tools and a strong Google Cloud alliance, accelerates AI deployment through context-aware, enterprise-ready solutions, helping businesses move from raw data to real-time intelligence seamlessly and securely.
Read the full interview here:
TimesTech: Why is data modernization considered a foundational step in unlocking the true potential of AI, and how does Onix’s Wingspan specifically address this need?
Niraj: Data modernization is often the first and most crucial step toward unleashing the full power of AI. That’s because AI is only as good as the data it learns from. Legacy systems and siloed data slow down innovation and data processing, while modernized, cloud data infrastructure lays the groundwork for AI to truly deliver value.
This is exactly where Onix’s Wingspan comes in. It’s not just another AI platform – it’s a multi-capability, agentic AI solution that bridges the gap between raw data and real intelligence. Wingspan combines Onix’s proprietary data modernization and AI-enablement technologies with context-aware AI agents to accelerate the entire journey from data to cloud to AI.
By automating critical data processes and making it easier to deploy domain-specific AI solutions, Wingspan helps businesses streamline operations, unlock insights faster, and make the most of their cloud and AI investments. The result? Smarter decisions, greater efficiency, and a lot less time spent wrangling data.
TimesTech: Wingspan is described as an industry-first, multi-capability agentic AI platform. What differentiates it from traditional, generic AI models, especially in terms of enterprise readiness and contextual awareness?
Niraj: What truly sets Wingspan apart from traditional, generic AI models is that it was purpose-built for the enterprise, from the ground up. Most off-the-shelf AI solutions struggle with slow deployment, fragmented data, and a lack of business context. They often require months of customization, constant human intervention, and still fall short when it comes to delivering insights that actually make sense in a specific business environment.
Wingspan changes that game. It’s an industry-first, multi-capability agentic AI platform designed to drive business value. Powered by multiple autonomous and deterministic AI agents, including our knowledge graph with Eagle agents, and a powerful context engine, Wingspan understands your enterprise data in context, not just in columns and rows.
Here’s the magic, Wingspan traces your data end-to-end, mapping lineage, relationships, and meaning across complex systems. Its intelligent agents don’t just automate tasks; they actively monitor KPIs, fill data drifts with synthetic data, and validate model outputs against your business context in real time. That means less guesswork, more accuracy, and faster decisions.
While traditional models might take months to go from proof of concept to production, Wingspan gets you there in just few weeks, thanks to seamless integration with Google Cloud AI products like Google Agentspace and Onix’s own IPs.
In short, Wingspan isn’t just “AI for enterprises.” It’s AI that understands enterprises.
TimesTech: Many enterprises face roadblocks transitioning from data collection to production-ready AI. How does Wingspan streamline this journey, and in what ways has it achieved deployment within as little as four weeks?
Niraj: Transitioning from raw data to production-ready AI is one of the toughest hurdles enterprises face today. It’s not just about building models; it’s about navigating a complex, error-prone lifecycle that includes data prep, code transformation, validation, deployment, and enablement. That’s where Wingspan makes a real difference.
Wingspan doesn’t just speed up the process; it redefines it. Built on an agentic architecture, the platform uses specialized AI agents to automate some of the most time-consuming and critical steps in the AI journey. We’re talking intelligent automation of data preparation, code transformation, validation, synthetic data generation, and even model deployment. The result? A production timeline that’s often cut by two to three times, with real deployments happening in as little as four weeks.
And importantly, this speed doesn’t come at the cost of reliability or control. Wingspan’s Pelican agent handles real-time data validation and reconciliation, while integration with Phoenix AI Studio keeps your models continuously optimized with intelligence. These agents work together within a unified knowledge graph that embeds enterprise-specific context from day one – no generic templates or one-size-fits-all shortcuts.
Built-in governance, observability, and security frameworks provide the guardrails that enterprises demand, ensuring every step is accountable and compliant. So you’re not just moving faster – you’re moving smarter, with lower long-term risk and a future-proof AI foundation. Wingspan streamlines the data-to-AI journey by doing the heavy lifting intelligently, so teams can focus on outcomes, not operations.
TimesTech: Could you elaborate on the role of Onix’s proprietary tools—Eagle, Raven, Pelican, and Kingfisher—in accelerating contextual AI deployment and enhancing platform capabilities?
Niraj: At Onix, we believe that deploying contextual, enterprise-ready AI shouldn’t be a drawn-out, resource-heavy process. That’s why we built our proprietary Birds Suite—a powerful collection of tools designed to automate the complex, ensure data integrity, and dramatically accelerate AI transformation. At the heart of this suite are Eagle, Raven, Pelican, and Kingfisher, each playing a unique role in simplifying and strengthening the AI lifecycle.
- Eagle is the strategic thinker. It performs deep assessments of enterprise data ecosystems and auto-generates knowledge graphs and migration blueprints. This helps organizations visualize their data landscape and map out a clear, context-rich path to cloud adoption and AI enablement.
- Raven is the modernizer. It transforms legacy data and fragmented data architectures into optimized, cloud-compatible data. It ensures you’re not just lifting and shifting legacy systems but modernizing them for AI readiness.
- Pelican is your data integrity watchdog. It validates and reconciles datasets down to the cell level, giving businesses complete trust in the data that they have modernized and migrated, further enhancing trust in the outputs AI generates. When data is your foundation, precision at this level is game-changing.
- Kingfisher supports advanced AI algorithm training by generating synthetic data – enabling broader training sets without compromising privacy or security. It expands your data universe and boosts model accuracy.
Together, these tools do more than automate – they embed context into every step of your AI journey. Powered by Phoenix, our context-aware AI framework, and supported by FinOps and Observability 360, Wingspan delivers deployments that are agile, secure, and production-ready from day one.
The real payoff? Our pilots highlight faster time-to-value, up to 80% ROI, and over 55% in operational savings. With Onix’s Birds Suite, we let technology manage the heavy lifting so your teams can focus on driving innovation, not wrangling infrastructure.
TimesTech: Onix has been honored as a Google Cloud Partner of the Year in multiple categories. How have these accolades and your long-standing collaboration with Google Cloud influenced innovation and customer success at Onix?
Niraj: Being named a Google Cloud Partner of the Year, not once, but 14 times, is more than just a badge of honor for Onix. It’s a reflection of our deep-rooted collaboration with Google Cloud and the tangible impact we’re delivering for clients across industries. These accolades recognize not just our technical excellence, but our ability to turn complex transformation goals into real, measurable outcomes.
Our partnership with Google Cloud has played a pivotal role in shaping Onix’s innovation strategy. It enables us to bring cutting-edge cloud, data, and AI solutions to over 1,500 clients globally, spanning sectors like healthcare, retail, public services, and finance. Whether it’s streamlining operations, driving AI adoption, or building secure, scalable infrastructures, we’re doing it faster and smarter, thanks in large part to this powerful alliance.
Together with Google Cloud, we’re not just keeping pace with digital transformation – we’re helping enterprises stay ahead of it. From leveraging the latest in AI with tools like Google Agentspace to delivering production-ready solutions in weeks through platforms like Wingspan, our collaboration continues to unlock new levels of value and readiness for the future.
TimesTech: Looking ahead to 2025, what major trends does Onix anticipate will shape the next era of AI-driven transformation, and how is the company preparing to stay ahead of the curve, particularly in multi-cloud analytics and AI orchestration?
Niraj: Looking ahead to 2025, Onix anticipates a pivotal shift in the AI landscape – from experimental pilots to deeply embedded, industry-specific solutions. AI will no longer be a novelty; it will become an essential tool for solving real-world problems. Generative AI, coupled with multimodal capabilities, will drive this change by powering tailored applications across sectors like healthcare, finance, and supply chains, delivering not just automation but strategic intelligence.
One of the most significant trends Onix foresees is the rise of the ‘Trifecta Powerhouse’, the integration of data, AI, and cloud. This convergence will radically enhance decision-making, enabling real-time analytics, hyper-personalization, and the faster discovery of new business opportunities. With data-as-a-product, organizations will turn to synthetic and augmented datasets to overcome limitations around data scarcity and privacy, unlocking new monetization models.
Onix is preparing for this transformation by doubling down on multi-cloud analytics and AI orchestration. Our platforms, like Wingspan and our proprietary Birds Suite, are built to streamline cloud migration, modernize data, and deploy AI at scale — all while maintaining transparency, governance, and contextual accuracy. We’re also investing in localized processing through small language models and edge AI to bring insights closer to the data source, ensuring both security and speed.
Onix is poised to lead in this next era by offering platforms and partnerships that are not only intelligent but also secure, scalable, and future-ready.
