FAL

Fractal Analytics Limited

Listed Mainboard
🔥🔥🔥🔥🔥

Fractal Analytics Limited is a global enterprise AI and analytics company that helps large businesses make smarter decisions. The company is raising approximately ₹2,834 crores through a combination of fresh issue and offer for sale, with shares listed on BSE and NSE.

Price Band
₹857–₹900
Lot Size
16 shares
Issue Size
₹2,833.90 Cr
GMP
+₹5
Est. Listing
+0.6%
Subscription
2.66×
Open Date
09 Feb
Close Date
11 Feb
Allotment
12 Feb
Listing Date
16 Feb
NSE Symbol
FRACTAL
Min Investment
₹14,400

Overview

About the Company

Fractal Analytics Limited was founded in March 2000 and has grown into a leading global enterprise AI and analytics company. Headquartered in Mumbai, it helps major corporations make more intelligent decisions by blending deep technical expertise with functional domain knowledge. The company's operations are structured into two key segments: Fractal.ai, which delivers AI services and products via its agentic AI platform Cogentiq, and Fractal Alpha, which hosts standalone AI businesses aimed at accelerating innovation across various industries and geographies. Fractal follows a B2B business model, serving marquee global clients such as Citibank, Costco, Franklin Templeton, Mars, Mondelez, Nationwide, Nestle, and Philips across sectors including BFSI, healthcare, retail, CPG, and technology. As of early 2025, the company employs approximately 4,500 professionals across 17 offices worldwide. Its core strengths include founder-led management with a long-term orientation, a proven track record of innovation, strong client retention, and the ability to deploy AI at enterprise scale.

Company Details

Founded
2000
Headquarters
Mumbai, Maharashtra
Industry
Artificial Intelligence & Analytics
Employees
4500
Promoter
Srikanth Velamakanni, Pranay Agrawal, Chetana Kumar, Narendra Kumar Agrawal, Rupa Krishnan Agrawal

📋 Objects of Issue (Use of Proceeds)

  • › Allocation of funds to the subsidiary Fractal USA for partial or full prepayment and/or scheduled repayment of its outstanding borrowings — estimated at ₹264.90 crores.
  • › Procurement of laptops to support operational requirements — estimated at ₹57.10 crores.
  • › Establishment of new office premises in India to support business expansion — estimated at ₹121.10 crores.
  • › Investment in research and development activities as well as sales and marketing efforts under the Fractal Alpha segment — estimated at ₹355.10 crores.
  • › Funding unidentified inorganic growth through acquisitions and other strategic initiatives, along with general corporate purposes — estimated at ₹161.10 crores.

✅ Strengths

  • ✓ The company has been operating for more than 25 years, establishing deep enterprise AI expertise across global markets.
  • ✓ Long-standing relationships with prominent international clients across industries including BFSI, healthcare, retail, consumer goods, and technology provide a diversified and sticky revenue base.
  • ✓ End-to-end AI capabilities spanning data engineering, analytics, platforms, and IP-driven products give Fractal a comprehensive offering that competitors find hard to match.
  • ✓ Deep client integration into core decision-making systems drives high retention and recurring business over multi-year partnerships.
  • ✓ A scalable global delivery model backed by skilled talent and robust platforms enables Fractal to serve large enterprises efficiently across geographies.
  • ✓ Fractal is positioned as a leader in the fast-expanding AI market, with a founder-led management team focused on long-term value creation.

⚠️ Risks

  • ! Revenue is heavily concentrated among a small number of large enterprise clients, creating vulnerability if any major client reduces spending or terminates engagement.
  • ! A substantial portion of revenues comes from the U.S. market, exposing the company to macroeconomic and geopolitical risks in that region.
  • ! The rapidly evolving landscape of AI-related regulations globally could result in higher compliance costs and operational restrictions.
  • ! The company has experienced losses in the past, and there is no certainty that profitability will be consistently maintained going forward.
  • ! Cybersecurity incidents or failures in AI-driven solutions could damage the company's reputation, client relationships, and financial health.