Infobay Ai Limited

1What It Does Infobay AI Limited, incorporated on December 23, 2016, (branded as InfoBay.AI ) — formerly known as EduGorilla — is now positioned as a training-data and AI-infrastructure company, providing expert-verified training data, annotation infrastructure, and evaluation systems for large language models (LLMs) and AI systems. It engineers structured datasets to enhance pre-training, alignment, and real-world performance of AI models. The company explicitly positions itself as “not a labeling shop” but as a technical AI data infrastructure provider, offering data-as-a-service and specialized infrastructure rather than generic outsourcing Company origin: The company began in 2016 as EduGorilla, an ed-tech startup offering multilingual online test series and study materials for competitive exam prep, along with a plug-and-play SaaS solution called "Gibbon" for educators/institutions to build white-label learning platforms. It later pivoted/rebranded into InfoBay.AI, shifting focus toward AI training-data infrastructure.

2Business Model and Revenue Business model: B2B — combining data-as-a-service with services/consulting. Revenue streams: Curated dataset sales — Supplying domain-specific, expert-verified datasets to AI companies and research labs building or fine-tuning LLMs. Data labeling and annotation services — Large-scale annotation work delivered under SLAs for quality and throughput. Managed HITL and post-training services — Human-in-the-loop pipelines and post-training optimization offered as ongoing managed engagements rather than one-off projects. Infrastructure/platform fees — Potential usage-based or access fees for their annotation and data-processing infrastructure, likely varying by client contract. Enterprise data licensing — Broader licensing of curated, verified datasets and annotation capacity to AI labs and enterprises. Legacy SaaS/subscription revenue (EduGorilla/Gibbon) — Test-series subscriptions plus rev-share or SaaS fees from the Gibbon platform, which serves a network of 3,000+ brands, 15,000+ creators, and 20,000+ educators. AI evaluation and consulting — Custom engagements covering model quality audits, factuality validation, and bias screening for enterprise AI teams.

3Clients Clients typically include AI labs, hyperscalers, and enterprises building or refining LLMs that require large volumes of high-quality, verified training data, spanning industries such as banking, healthcare, insurance, agriculture, telecom, QSR, SaaS, logistics, humanitarian aid, and real estate.

4Promoters / Leadership Rohit Manglik — Founder & CEO Shashwat Vikram — Co-founder & CTO Pushpa Manglik — Director Ashish Padiyar — Director

6IPO / Listing Status No confirmed DRHP filing or IPO announcement found. The company is currently privately/VC-backed and unlisted. Its legal conversion to "Public Limited" status could be an early signal toward eventual listing plans, but no explicit IPO timeline has been publicly disclosed.