Infibeam Avenues deploys agentic AI for India’s fueltech sector through Nawgati deal
Infibeam Avenues partners with Nawgati to deploy real-time agentic AI in fueltech using video-LLM reasoning. Find out how this deal could reshape India’s fueling infrastructure.
How will Infibeam’s Phronetic AI reshape real-time reasoning in fuel and fleet operations with video-based agentic intelligence?
Infibeam Avenues Limited (NSE: INFIBEAM, BSE: 539807), a leading Indian financial technology developer, announced on July 3, 2025, that its deep-tech AI subsidiary, Nueromind Technologies Private Limited—operating under the brand Phronetic.AI—has signed a strategic Memorandum of Understanding (MoU) with Nawgati Tech Private Limited. Nawgati is a prominent AI-enabled fuel infrastructure and mobility optimization platform powering thousands of fuel stations and India’s largest consumer fuelling app.
The collaboration is designed to jointly develop and deploy advanced reasoning AI across India’s high-throughput fuel and energy networks. At the heart of the announcement is the integration of Phronetic’s proprietary Agentic AI and Video-Language Models (Video-LLMs) into Nawgati’s vertical SaaS platform “Aaveg,” enhancing real-time decision-making using CCTV video feeds at fuel stations.
Why is this partnership significant for video-based reasoning and SOP compliance in high-volume operations?
Video-based AI applications have long struggled with reasoning—an essential cognitive layer for real-time decision-making beyond passive surveillance or anomaly detection. Most AI systems in industrial environments can flag events but not explain or act on them. Phronetic’s platform addresses this gap by combining Video-LLMs with real-time agentic logic to both interpret complex situations and execute automated decisions.
Rajesh Kumar, CEO of Phronetic.AI, indicated that while language-based reasoning models are widely available, industries like manufacturing, retail, and energy require on-ground reasoning rooted in physical interactions—something Phronetic’s multimodal AI stack aims to deliver. He emphasized that their AI agents bridge the last-mile intelligence gap between observation and action, allowing businesses to enforce SOPs, improve productivity, and reduce operational ambiguity at scale.
Industry experts tracking AI deployment in industrial and energy sectors noted that few firms have demonstrated success in field-deployable, low-latency video-reasoning platforms. Phronetic’s entry into this space, backed by Infibeam’s infrastructure and Nawgati’s market access, could set a benchmark for emerging autonomous compliance tools in the fueltech ecosystem.
What is Nawgati’s role in India’s fueling infrastructure and how does Phronetic AI complement it?
Founded at BITS Pilani and backed by institutional investors including GAIL (India) Limited, Nawgati operates across more than 2 million end-users and thousands of retail fuel stations nationwide. Its flagship platform Aaveg enables real-time nozzle-level monitoring, stock reconciliation, intelligent queue management, and SOP tracking using AI-powered video systems.
The collaboration with Phronetic aims to enhance Aaveg’s core intelligence layer through the introduction of Desk and Field AI agents. These agents will perform advanced tasks such as identifying anomalous behavior, making predictive assessments, and triggering automated operational protocols—all in real time. According to Nawgati’s co-founder and CEO Vaibhav Kaushik, the partnership marks a turning point in fueltech, unlocking the ability to build autonomy and efficiency directly into India’s most critical energy distribution points.
Nawgati’s reach extends to key clients like Indraprastha Gas, Mahanagar Gas, Torent Gas, and fuel dealers affiliated with Indian Oil, Bharat Petroleum, Hindustan Petroleum, and JioBP. The company has also digitized large-scale CNG fleet management networks, offering tools for route optimization and behavioral analytics for commercial vehicles.
How does this fit into Infibeam Avenues’ broader AI and fintech strategy?
Infibeam Avenues Limited, which processed over ₹7 trillion (US$86 billion) in transactions during FY24 across its payment and enterprise software businesses, has made notable strides into applied AI over the last two years. Phronetic.AI serves as the company’s dedicated AI innovation engine, developing agentic and multimodal platforms that complement its core digital transaction infrastructure.
The parent company’s international footprint—spanning the UAE, Saudi Arabia, Australia, and the United States—along with its government procurement platform and merchant networks, puts it in a unique position to commercialize AI beyond payments. With this latest move, Infibeam is positioning Phronetic as a field-ready AI solution provider, capable of embedding intelligence into real-world systems with high accuracy and compliance demands.
Institutional observers view this deal as a natural extension of Infibeam’s ambition to diversify its digital infrastructure offerings into higher-margin technology services. By leveraging Phronetic’s technical prowess and Nawgati’s operational domain, the collaboration may unlock monetization opportunities beyond traditional fintech.
What does the go-to-market strategy involve and what commercial opportunities lie ahead?
Under the terms of the MoU, Infibeam’s Phronetic and Nawgati will execute a joint go-to-market (GTM) strategy focused on commercializing AI-powered modules for India’s fuel, fleet, and energy operators. The roadmap includes embedding real-time AI agents into existing Nawgati installations, which will act as a proving ground for scaled deployment.
By targeting high-friction, high-volume use cases like SOP deviation, customer interaction handling, and equipment malfunction resolution, the partners are expected to deliver immediate ROI to fuel station operators, logistics managers, and public-sector clients. Future versions of the solution may extend to ports, highways, toll stations, and manufacturing plants, where automated reasoning capabilities remain underdeveloped.
Analysts believe that this marks one of India’s first commercially viable Video-LLM agentic deployments tailored for industrial operations, and could influence other verticals such as warehousing, cold chain logistics, and city infrastructure.
What are the risks and next steps for this AI deployment in fueltech?
While the promise of agentic AI is strong, operational scalability, edge inference latency, and hardware integration remain challenges. Real-time AI decisions based on CCTV inputs require robust computing infrastructure at the edge, as well as regulatory clarity on automated actions in public environments. Additionally, widespread deployment across India’s fragmented fuel station landscape requires standardization of both hardware and protocol interfaces.
That said, Nawgati’s existing deployment base and Aaveg’s modular architecture are likely to ease initial adoption barriers. With Phronetic’s ability to integrate reasoning with environment-specific AI models, the collaboration is expected to unlock a new class of intelligent automation solutions optimized for Indian conditions.
Over the coming quarters, Infibeam Avenues may share more concrete commercial milestones or revenue targets from the partnership. Any future revenue recognition tied to Phronetic’s rollout could reflect positively on the fintech player’s valuation and investor confidence, especially given its high trading volumes and microcap classification on the Nifty indices.
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