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ByNN Desk
SCIKIQ Bags $1.5M in Seed Funding Led by Triton to Fuel Enterprise AI Growth
The Bengaluru-based enterprise data platform SCIKIQ will direct capital toward offices in the United States, the United Kingdom, and the UAE, as well as toward expanding its AI and data capabilities.
The Bengaluru-based enterprise data platform SCIKIQ will direct capital toward offices in the United States, the United Kingdom, and the UAE, as well as toward expanding its AI and data capabilities.
SCIKIQ, an AI-native enterprise data platform, said on May 12 that it has closed a $1.5 million seed round led by Triton Investment Advisors, its first external fundraise since its founding.
The round values the company’s ambitions squarely in the enterprise data infrastructure segment, where buyers across banking, supply chain, retail, aviation, manufacturing, and healthcare are seeking platforms to consolidate and govern data before feeding it into AI systems. SCIKIQ said the fresh capital will go primarily toward global expansion, sales and marketing, and product development, per a company statement published on LinkedIn.
The company plans to open local offices and hire regional sales and go-to-market teams in the United States, the United Kingdom, and the UAE. It did not disclose a timeline for those openings or a headcount target.
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A portion of the funds will also be used to add data and AI capabilities to the SCIKIQ Data Platform, the company said. It did not specify which capabilities or provide a product roadmap.
Founder Gaurav Shinh said in the company statement that enterprise AI adoption is entering a decisive phase globally, and that the round positions SCIKIQ to accelerate product innovation and scale internationally. The move comes as Indian enterprise software startups have increasingly targeted the Gulf and anglophone markets to diversify beyond domestic clients.
SCIKIQ describes its platform as enabling organizations to unify, govern, and operationalize data for AI and analytics use cases. The company positions itself upstream of model deployment, in the data readiness layer, which has drawn investor interest as enterprises discover that poorly governed data limits AI performance regardless of model quality.
The $1.5 million round is modest by the standards of enterprise software fundraising globally, but it is in line with early seed activity among Indian B2B startups targeting international markets in 2025 and 2026. Whether Triton or a subsequent lead investor will fund a larger Series A will depend in part on how quickly the company converts its planned international offices into enterprise contracts.
Disclaimer: This news is based on publicly available information. NervNow has not independently verified any claims.
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