Enterprise data chaos is one of the biggest invisible problems in corporate India — and the world. Gurugram-based SCIKIQ has just raised $1.5 million to solve it. Here is the full story of who they are, what they built, who backed them, and where they are going next.
The Funding — Key Details
| Detail | Information |
| Company | SCIKIQ (SCIKIQ Data Private Limited) |
| Funding Amount | $1.5 million (~₹14 crore) |
| Round | Pre-Series A (Maiden / First Institutional Round) |
| Lead Investor | Triton Fund II (Triton Investment Advisors) |
| Announced | May 12, 2026 |
| Headquarters | Gurugram, Haryana |
| Founded | April 2023 |
| Founders | Gaurav Shinh & Rohit Kumar |
| Use of Funds | Global expansion, product development, sales & marketing |
| Target Markets | USA, UK, UAE |
What Is SCIKIQ? — The Problem It Solves
Founded in 2023 by Gaurav Shinh and Rohit Kumar, SCIKIQ is an AI-native enterprise intelligence platform that helps enterprises convert fragmented data into business-ready intelligence.
In plain language: most large companies — banks, hospitals, airlines, retail chains — sit on mountains of data that is scattered across dozens of different systems, departments and databases. Many large organisations struggle with disconnected data spread across multiple systems and departments. SCIKIQ aims to solve this issue by creating a unified business data platform that can deliver a complete and real-time view of enterprise operations within days or weeks instead of months.
The startup is registered as SCIKIQ Data Private Limited and is headquartered in Gurugram, Haryana.
What Does the Platform Do? — Inside the SCIKIQ DataHub
Its platform integrates data governance, analytics, conversational AI, AutoML, and GenAI tools within a unified Data Hub.
The platform’s core capabilities include:
| Feature | What It Does |
| Data Integration & Pipelines | Pulls data from multiple sources — cloud, on-premise, hybrid — into one unified system |
| Real-time Data Ingestion | Live data processing with log-based Change Data Capture (CDC) |
| Data Governance | Automated metadata management, data quality and compliance controls |
| Conversational AI | Business users can query data in plain English — no SQL or coding required |
| AutoML | Automated machine learning for predictive analytics without data science expertise |
| GenAI Integration | Generative AI tools for business intelligence and reporting |
| Blockchain Data Exchange | A blockchain-powered data exchange marketplace where enterprises can securely share and monetise data products |
The platform supports hybrid cloud, multi-cloud, and on-premise deployment models, making it suitable for companies with complex technology infrastructure and compliance requirements.
Who Are SCIKIQ’s Clients?
SCIKIQ serves sectors including BFSI, retail, e-commerce, manufacturing, and healthcare, with enterprise clients and associations such as London Stock Exchange, Aster Hospitals, and BrandSafway.
The London Stock Exchange and Aster DM Healthcare as named clients signal that SCIKIQ has already broken into globally competitive enterprise accounts — a strong proof of concept for a two-year-old startup from Gurugram.
A real-world example of impact: the startup worked with a US-based banker’s bank where it automated data preparation and processing tasks. This reportedly reduced client onboarding time from three to four months to less than one month. The company also said the project helped re-engineer eight full-time equivalent roles and improved operational maturity levels.
Financial Performance — Remarkable Early Numbers
Despite being a relatively young startup, SCIKIQ has reported strong financial growth. According to the company, it generated revenue of ₹4.76 crore during the financial year ending March 31, 2025. The startup also claimed a one-year revenue CAGR of 142% and a massive EBITDA CAGR of 2,749%.
| Metric | Figure |
| Revenue (FY2024-25) | ₹4.76 crore |
| Revenue CAGR (1-year) | 142% |
| EBITDA CAGR (1-year) | 2,749% |
| Founded | April 2023 |
A 142% revenue CAGR and an EBITDA growth rate of nearly 2,749% in a single year speaks to rapid monetisation from a small base — the classic early-stage enterprise SaaS growth curve when product-market fit clicks.
Who Is Triton Fund II? — The Investor
Triton Investment Advisors is a Delhi-NCR-based venture capital fund with a focus on early-stage technology startups. Triton Fund II is its second fund, focused on backing high-potential B2B technology companies in India.
Pradyumna Dalmia, Managing Partner at Triton, said: “We are excited to invest in SCIKIQ because it is tackling one of the biggest barriers to enterprise AI adoption: fragmented data. What impressed us was the clarity of the product and the maturity of execution already demonstrated by Gaurav and the team.”
Dev Raman, Partner at Triton, added: “We believe enterprise AI adoption will increasingly be driven by platforms that can bridge the gap between complex data infrastructure and business usability. SCIKIQ is building the core of this enterprise AI transformation. The company has already built meaningful traction with large global enterprises, and we are excited to support SCIKIQ as it scales internationally.”
Where Is the Money Going? — Use of Funds
The fresh capital will be utilised primarily for global expansion, sales and marketing, and product development. The company plans to strengthen its footprint in key international markets, including the USA, the UK, and the UAE, by establishing local offices, hiring regional teams, and investing in leadership roles across sales and go-to-market operations.
Additionally, a portion of the funds will be deployed to further augment the SCIKIQ Data Platform with new data and AI capabilities.
The three-market international expansion strategy — USA, UK and UAE — is deliberate:
- USA: The world’s largest enterprise software market; SCIKIQ already has a US client (the banker’s bank case study)
- UK: Home to the London Stock Exchange — an existing SCIKIQ client and a strong reference for the European financial services market
- UAE: The fastest-growing enterprise technology market in the Middle East, with strong demand for data infrastructure from banking, hospitality and government sectors
Founder’s Voice
SCIKIQ Founder Gaurav Shinh said: “This funding marks a major inflection point for SCIKIQ at a time when enterprise AI adoption is entering a decisive phase globally. We are poised to accelerate product innovation, strengthen our AI capabilities and expand internationally.”
He elaborated: “Today, organisations need a unified AI-native platform that can transform fragmented enterprise data into real-time, actionable intelligence. It validates the category we are building, the technology we have developed, and the long-term value SCIKIQ is positioned to deliver globally.”
Competition — Who Does SCIKIQ Go Up Against?
The enterprise intelligence market is highly competitive, with SCIKIQ competing against global technology companies such as Databricks, Microsoft, Atlan, and Boomi.
However, the startup believes its integrated no-code platform and AI-first approach help it stand out in the market.
SCIKIQ’s competitive positioning rests on three differentiators:
1. Unified, No-Code Platform Where competitors like Databricks excel at data engineering for technical teams, SCIKIQ’s no-code, conversational AI interface allows business users — not just data scientists — to derive insights directly. This widens the addressable user base within enterprise clients.
2. Speed of Deployment The claim of delivering a complete, real-time enterprise data view in “days or weeks instead of months” is a significant competitive claim in a market where enterprise data projects notoriously overrun timelines and budgets.
3. AI-Native Architecture Unlike legacy data platforms that have bolted on AI features after the fact, SCIKIQ was built from inception (2023) with GenAI and AutoML as core — not peripheral — components. This gives it an architectural advantage as enterprise AI demands intensify.
The Bigger Picture — Why This Funding Matters
SCIKIQ’s raise is part of a broader surge in enterprise AI infrastructure investment globally — and specifically in India’s B2B SaaS ecosystem.
The problem SCIKIQ solves — fragmented enterprise data preventing AI adoption — is one of the most universally cited barriers in corporate digital transformation. As organisations increasingly move from AI experimentation to large-scale implementation, fragmented and disconnected enterprise data continues to remain one of the biggest barriers to meaningful AI adoption.
For Delhi-NCR’s startup ecosystem, SCIKIQ represents a growing pattern: deep-tech, B2B enterprise platforms built in Gurugram targeting global enterprise clients from day one — a maturation of the NCR startup scene beyond consumer apps into serious enterprise infrastructure.
