Fractal Analytics IPO: Price Band, Dates, Details

The Fractal Analytics IPO has put India’s enterprise AI story in the mainstream. Unlike many consumer internet listings, Fractal’s pitch is more “behind-the-scenes”: helping large companies use data and AI to make better decisions across marketing, supply chain, pricing, risk, and customer experience.

If you’re searching terms like fractal ai, fractal intelligence, or about fractal analytics, here’s a crisp, investor-friendly explainer of what the company does, what the IPO includes, and how Fractal Analytics AI differs from typical SaaS narratives.

Fractal Analytics IPO at a glance

Key offer details reported for the public issue:

• IPO open and close: 09 Feb 2026 to 11 Feb 2026

• Price band: Rs. 857 to Rs. 900 per share

• Issue size: Rs. 2,840 crore

• Fresh issue: Rs. 1,030 crore

• Offer for sale: Rs. 1,810 crore

• Lot size: 16 shares

• Proposed listing: NSE and BSE (listing date reported as 16 Feb 2026)
  

A separate reported update was that the company reduced the IPO size versus an earlier plan.

About Fractal Analytics

Fractal Analytics is an enterprise artificial intelligence company that builds and deploys AI and advanced analytics systems for large businesses. The simplest way to understand Fractal Analytics AI is this: it is designed to move AI from pilot projects into day-to-day business decisions, across functions and industries.

Fractal was founded in 2000 and operates globally. Its public website highlights enterprise AI, engineering, and design as the core pillars of its approach.

Fractal Analytics headquarters

If you’re specifically searching fractal analytics headquarters, the company’s website lists its registered office in Mumbai (Goregaon East).

What does Fractal AI actually do?

When people say fractal ai or fractal intelligence, they’re usually referring to Fractal’s ability to combine:

• Data engineering (making enterprise data usable)

• AI/ML modelling (predictions, optimisation, decision systems)

• Deployment at scale (integrating into business workflows)
  

This matters because many AI companies can build models, but fewer can deploy them reliably across large organisations with real operational constraints.

Fractal Analytics products

Search interest around fractal analytics products is high because Fractal is not positioned as a single-product company. It has a mix of platforms and AI applications.

Public sources that describe Fractal’s product suite reference names such as: Cuddle ai, Eugenie ai, and Trial Run, along with AI business applications like Foresient, Concordia, Trade Pulse, and ConsumerHub.

You can think of these as tools and applications that help enterprises operationalise analytics and AI in specific use-cases, rather than generic “AI chat” tools.

Why the Fractal Analytics IPO is being watched

There are three reasons this IPO gets attention beyond the usual “new listing” buzz:

1) It’s a clearer enterprise AI listing

Many tech IPO stories are consumer-led or marketplace-led. Fractal’s story is closer to “enterprise AI infrastructure and applications,” which investors often evaluate differently.

2) The company had already entered SEBI’s filing pipeline earlier

SEBI’s site shows Fractal Analytics Limited under draft offer documents filed with SEBI (Aug 2025).

3) The offer details point to both growth funding and shareholder liquidity

The mix of fresh issue and offer-for-sale structure (as reported) signals that the IPO is meant to fund certain initiatives while also enabling partial exits for existing shareholders.

Where the fresh money is reportedly going

One widely-circulated IPO note outlines intended uses of proceeds that include: investment into a subsidiary (Fractal USA) for repayment of borrowings, laptops, new office premises in India, and spend on R&D plus sales and marketing under a named initiative, along with inorganic growth and general corporate purposes within limits.

Conclusion

The Fractal Analytics IPO is a useful window into how enterprise AI businesses present themselves to public markets: less about consumer virality, more about repeatable enterprise use-cases, deployment capability, and a portfolio of Fractal Analytics products that help operationalise AI inside large organisations.

If you’re tracking this space, the most practical approach is to stay anchored on the basics: what Fractal Analytics AI is used for, where its revenue is concentrated, and how its product suite fits into enterprise workflows.

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