
Fractal Analytics

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About Fractal Analytics

Fractal is one of the most prominent providers of Artificial Intelligence to Fortune 500® companies. Fractal's vision is to power every human decision in the enterprise, and bring AI, engineering, and design to help the world's most admired companies.
Fractal's businesses include Crux Intelligence (AI-driven business intelligence), Eugenie.ai (AI for sustainability), Asper.ai (AI for revenue growth management) and Senseforth.ai (conversational AI for sales and customer service). Fractal incubated Qure.ai, a leading player in healthcare AI for detecting Tuberculosis and Lung cancer.
Fractal currently has 4000+ employees across 16 global locations, including the United States, UK, Ukraine, India, Singapore, and Australia. Fractal has been recognized as 'Great Workplace' and 'India's Best Workplaces for Women' in the top 100 (large) category by The Great Place to Work® Institute; featured as a leader in Customer Analytics Service Providers Wave™ 2021, Computer Vision Consultancies Wave™ 2020 & Specialized Insights Service Providers Wave™ 2020 by Forrester Research Inc., a leader in Analytics & AI Services Specialists Peak Matrix 2022 by Everest Group and recognized as an 'Honorable Vendor' in 2022 Magic Quadrant™ for data & analytics by Gartner Inc.

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![]() | ![]() Change Company | ![]() Change Company | ![]() Change Company | |
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Overall Rating | 4.0/5 based on 902 reviews | 3.9/5 based on 329 reviews | 3.1/5 based on 419 reviews | 3.4/5 based on 448 reviews |
Highly Rated for | Job security Company culture Skill development | Salary Company culture | ![]() No highly rated category | ![]() No highly rated category |
Critically Rated for | Promotions | ![]() No critically rated category | Job security Work-life balance Work satisfaction | Promotions Salary Company culture |
Primary Work Policy | Hybrid 80% employees reported | Work from office 74% employees reported | Work from office 58% employees reported | Work from office 88% employees reported |
Rating by Women Employees | 3.9 Good rated by 216 women | 3.4 Average rated by 38 women | 2.8 Poor rated by 107 women | 3.4 Average rated by 92 women |
Rating by Men Employees | 4.0 Good rated by 635 men | 4.0 Good rated by 253 men | 3.3 Average rated by 268 men | 3.4 Average rated by 346 men |
Job security | 4.1 Good | 3.7 Good | 2.8 Poor | 3.3 Average |
Fractal Analytics Salaries
Data Engineer

Senior Consultant

Data Scientist

Senior Data Scientist

Senior Engineer

Senior Data Engineer

Software Engineer

Analytics Consultant

Decision Scientist

Data Analyst

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Tesla’s India Debut, WeWork India’s IPO & More
- Tesla makes its entry in India with Model Y, priced higher than elsewhere.
- Challenges include high import duties, price sensitivity, and local manufacturing uncertainties.
- Indian EV market also sees competition from domestic and global players, posing challenges for Tesla.
- WeWork India's IPO receives SEBI approval while other startups like TVS and Fractal make news.

Fractal Analytics Bags $170 Mn Via Secondary Sale At $2.4 Bn Valuation
- Fractal Analytics raised $170 Mn through a secondary share sale, valuing the company at $2.44 Bn, ahead of its IPO.
- Apax Partners sold a 6% stake to a consortium of 22 institutional investors, including Trust Investment Advisors, Gaja Capital, and Neo Asset Management.
- Fractal is expected to file its DRHP soon, with an anticipated IPO size of $400–500 Mn, leading to a potential $3 Bn valuation.
- The company, known for AI and analytics solutions, saw a net loss of INR 54.7 Cr in FY24 but is pushing forward with R&D efforts and product launches.

Exclusive: Fractal Bags INR 49 Cr From Cofounder Srikanth Velamakanni
- Srikanth Velamakanni, cofounder and CEO of Fractal Analytics, invested INR 48.7 Cr in the company for converting partly paid-up equity shares to fully paid-up equity shares.
- Fractal Analytics approved the conversion of 6.6 Lakh partly paid-up equity shares into fully paid-up equity shares at an issue price of INR 733 each, amounting to INR 48.73 Cr.
- The company also allotted 1.32 Lakh equity shares to 81 employees under its ESOP scheme.
- Fractal Analytics is gearing up for its IPO with plans to file its DRHP in August for a $500 Mn IPO, after deferring its IPO plans in 2021 due to market conditions.

Fractal Analytics Fundraising: IPO-Bound AI Firm Raises $150 Million At $2.44 Billion Valuation
- Fractal Analytics, an AI firm, raised $150 million in a secondary transaction from investors like Trust Investment Advisors and White Oak Capital, valuing the company at $2.44 billion.
- The funds were raised through the sale of a 6% stake by the existing investor Apax Partners to buyers including multiple funds advised by Trust Investment Advisors, White Oak Capital Management, Gaja Capital, and Neo Asset Management.
- Fractal Analytics offers AI and analytics services to Fortune 500 companies in various sectors and owns products like Asper.ai, Analytics Vidhya, and Qure.ai.
- The transaction was facilitated by Saraf and Partners advising the investors, AZB & Partners and Kirkland & Ellis advising Apax, and Shardul Amarchand Mangaldas & Co. representing Fractal.

How to Install Fathom-R1-14B: The Most Efficient SOTA Math Reasoning LLM
- Fathom-R1-14B by Fractal AI is a highly efficient reasoning-focused LLM developed as part of the IndiaAI Mission, delivering top-tier performance within a 16K context window and a $499 post-training budget.
- It outperforms similar open-source models on mathematical reasoning tasks like AIME25 and HMMT25.
- Fractal AI open-sources weights, recipes, and datasets, enabling researchers and developers to freely experiment and scale.
- To install and run Fathom-R1-14B, minimum system requirements include a GPU like RTXA6000 or A100, 50GB storage, and 40GB VRAM.
- Using a GPU-powered Virtual Machine like NodeShift simplifies the deployment process with high compute capabilities and user-friendly interfaces.
- The step-by-step installation process involves setting up a NodeShift account, creating a GPU Node, selecting configurations, authentication, choosing an image, and connecting via SSH.
- After setting up the project environment with Anaconda and dependencies like Torch, Transformers, and Jupyter Notebook, users can download and run the model for inference.
- NodeShift's infrastructure streamlines model deployment, making it frictionless for researchers and developers to experiment, fine-tune, and scale their models.
- Fathom-R1-14B's lightweight design and competitive performance make it a valuable asset for mathematical reasoning tasks, providing an accessible alternative to high-resource models.
- By leveraging NodeShift's GPU-ready environments and deployment tools, users can focus on the core aspects of model experimentation and scaling rather than infrastructure setup.

India Loves Llama, But Flirts with Mistral and Qwen
- Indian AI startup Sarvam AI launches Sarvam-M, a language model built on Mistral, offering improvements on Indian language benchmarks.
- Mistral Small competes with larger models like Llama and Qwen, showing strong performance but faster speed.
- Mistral releases models like Mistral Medium 3, Devstral, Mistral Document AI, and Mistral Saba for South Asian languages.
- Mistral Saba excels in Indic languages, particularly South Indian languages such as Tamil.
- Developers praise Mistral for its speed, quick response time, and efficiency in constrained environments.
- Indian developers prefer Mistral for tasks involving Indic language understanding and generation, comparing it with Llama and Qwen.
- Some developers switch to Llama and Qwen models for research purposes, citing broader coverage of needs.
- Alibaba's Qwen3 models gain popularity, surpassing competitors like Google's Gemini and OpenAI's models on benchmarks.
- Fractal launches Fathom-R1-14B model in India, offering strong mathematical reasoning performance at a lower cost.
- India's AI landscape is evolving towards smarter and faster solutions tailored to address unique challenges.

Fractal Releases Fathom-R1-14B Reasoning Model on DeepSeek for $499
- Fractal, a Mumbai-based AI company, launched an open-source 14-billion-parameter reasoning model, Fathom-R1-14B, surpassing o1-mini and o3-mini in performance at a cost of $499.
- The model, derived from Deepseek-R1-Distilled-Qwen, is available to try on Hugging Face and is on GitHub under the MIT license, part of the IndiaAI mission.
- On AIME-25 and HMMT-25 exams, Fathom-R1-14B achieved Pass@1 accuracy of 52.71% and 35.26% respectively, rising to 76.7% and 56.7% with additional compute.
- The model used supervised fine-tuning, curriculum learning, and model merging, with a separate variant, Fathom-R1-14B-RS, also introduced with reinforcement learning and SFT costing $967.

Top Artificial Intelligence Firms India 2025
- India's top artificial intelligence firms in 2025 are driving transformation across sectors like healthcare, finance, governance, manufacturing, and retail.
- Key players like Tagbin, TCS, Infosys, Haptik, Fractal Analytics, and CureMetrix are showcasing innovative AI solutions in various domains.
- The AI sector in India is thriving due to strong government backing, a skilled talent pool, and a robust startup ecosystem supported by initiatives like the National AI Mission and NASSCOM.
- Indian AI companies are now competing globally, particularly excelling in healthtech, fintech, conversational AI, and digital governance, setting new benchmarks in AI innovation.

Gurgaon vs Bengaluru: Where Are the Best AI Companies in 2025?
- Gurgaon has emerged as a tech corridor with numerous AI companies, including Tagbin, Staqu, GreyOrange, Optmyzr, and AI Palette India, covering diverse applications from industrial automation to consumer analytics.
- Bengaluru, known for technological innovation, houses leading AI firms like Happiest Minds Technologies, Mu Sigma, NVIDIA, DataRobot, and Fractal Analytics, known for advanced research and a global clientele.
- Gurgaon's growth is driven by its strategic location and diverse AI applications, while Bengaluru's established tech ecosystem and research emphasis attract global AI leaders.
- The choice between Gurgaon and Bengaluru for AI companies in 2025 depends on specific business needs, whether it's Gurgaon's dynamic growth or Bengaluru's expertise and research focus.

IPO-Bound Fractal Proposes To Build AI Medical Foundational Model
- AI startup Fractal Analytics has proposed to build a multimodal medical foundational model.
- The company is seeking INR 150 Cr ($17.5 Mn) funding from the IndiaAI Mission.
- The model will have 8Bn parameters and will cater to advanced medical reasoning tasks.
- Fractal Analytics is among Indian startups looking to get listed on the bourses with an IPO.


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