Uniqus Consultech has completed a US$20 million series C funding round, led by Nexus Venture Partners with participation from Sorin Investments. Both firms are existing investors in the company.

The funding will support Uniqus’ plans for growth, service expansion, and increased global presence.

The company intends to invest in research and development, focusing on AI-driven solutions for reporting and risk management.

Founded two years ago, Uniqus operates in 11 cities across India, the United States, and the Middle East.

The firm employs over 550 professionals, including 60 partners and directors. It serves more than 250 clients.

🔗 Source: Uniqus Consultech

🧠 Food for thought

1️⃣ The tech-enabled consulting transition is reshaping industry economics

Uniqus’ approach reflects a fundamental shift in consulting economics that traditional firms are struggling to match.

Leading consultancies like Accenture, Deloitte, and IBM have invested heavily in technology capabilities, with Accenture having received the “Technology Advisory Firm of the Year” award for six consecutive years 1.

Traditional consulting models face margin pressure as clients increasingly expect more value from fewer billable hours, pushing firms to develop proprietary technology platforms similar to Uniqus’ “UniVerse” suite.

This transformation is particularly evident in Gartner’s 2023 IT spending forecast of $4.6 trillion, representing a 5.5% increase from 2022, as organizations prioritize technology-enabled advisory services 2.

The industry’s evolution is creating a divide between legacy firms still dependent on traditional workforce scaling and newer entrants like Uniqus that leverage technology to decouple revenue growth from headcount.

2️⃣ AI is revolutionizing risk management consulting services

Uniqus’ focus on AI-driven risk management solutions aligns with one of the fastest-growing segments in consulting, where technology is fundamentally transforming service delivery.

AI consulting enables businesses to implement proactive risk management through real-time data processing, with machine learning algorithms enhancing forecasting accuracy and enabling faster decision-making based on historical data analysis 3.