i-Genie.ai, an AI-powered, consumer insights platform, announced it has been accepted into the Microsoft for Startups Pegasus Program. The Pegasus Program is an invite-only initiative that helps high-potential B2B startups scale rapidly by providing exclusive access to Microsoft’s technology, mentorship and global enterprise ecosystem. Around 150 companies are selected from tens of thousands of start-ups. In addition, this collaboration is designed to provide i-Genie.ai access to powerful AI tools and a global customer network to help scale faster and smarter.
“Joining the Pegasus Program validates our tremendous growth and marks an exciting step forward for our team,” says i-Genie.ai CEO Trevor Sumner in a press release. “We’re building the future of insights, using AI to enable brands to track their brand equity, spot emerging trends, benchmark product experiences, and test innovations—all without the constraints of traditional surveys. Microsoft’s technology, expertise and network will enable us to scale-up and deliver insights faster, all built on the leading enterprise software stack.”
“i-Genie.ai insights platform adoption from some of the largest multinational brands made our increased partnership a natural collaboration. The Pegasus Program empowers founders to build fast, scale smart, and sell more. By tapping into Azure’s advanced AI capabilities and enterprise-grade infrastructure, startups can accelerate innovation and bring impactful solutions to market. We’re excited to collaborate with i-Genie.ai as they drive transformation in insights,” says Hans Yang, VP of Microsoft for Startups.
i-Genie.ai Recognized for Achievement
In addition, i-Genie.ai also announced it has been recognized by OpenAI’s Tokens of Appreciation program. The program recognizes i-Genie.ai as one of 141 startups hitting the 10-billion-token milestone. This award celebrates developers and companies operating at the highest levels of scale, and places i-Genie.ai among OpenAI’s top users.
“The award reflects the real-world adoption, engineering excellence, and enterprise-grade reliability of our platform,” says i-Genie.ai’s Executive Chairman and founder Stan Sthanunthan. “Processing 10 billion tokens—equivalent to tens of millions of pages of analysed text—demonstrates the extraordinary leverage from AI that i-Genie.ai accomplishes and the measurable outcomes we deliver, from faster insights to stronger product decisions that drive tangible business value for organizations around the world.”
With native NLP across 20+ languages and enterprise-ready integrations, i-Genie.ai listens to billions of digital signals in over 30 countries.
What This Means for ERP Insiders
AI-Native Vendors Gain Enterprise Stack Validation. Microsoft’s Pegasus selection signals accelerating convergence between specialized AI platforms and core enterprise infrastructure. For ERP vendors, this validates the strategic imperative of embedding AI-native analytics into transactional systems rather than bolt-on solutions. The partnership model also demonstrates how hyperscalers are curating next-generation capabilities that will either integrate with or compete against traditional ERP suites.
Token Economics Reveal Enterprise AI Scale Requirements. Processing 10 billion tokens represents a new threshold for production-grade AI workloads that modern ERP architectures must support. This milestone exposes the infrastructure gap between legacy ERP platforms and cloud-native systems designed for massive language model operations. Enterprise architects should anticipate similar computational demands as AI-powered modules for demand sensing, customer experience analytics and autonomous planning mature.
Cross-Domain Intelligence Challenges ERP Data Silos. i-Genie.ai’s multi-language, multi-country signal processing across billions of data points highlights how consumer insights now flow outside traditional ERP boundaries. Also, this fragmentation challenges the ERP vendor value proposition of system-of-record authority, as critical business intelligence increasingly originates from unstructured external sources.
