Last week in Palo Alto, we hosted our third Anthropic Partner Claude Code workshop. The workshop brought together technical teams from key Fractal enterprise clients for a hands-on look at Claude Code. Facilitators also covered how developers can build, test, review, and ship enterprise-scale software using agentic coding. One theme came through clearly: context is not a side note. It is part of the workflow. Participants walked away with practical starting points they could take back and apply in their companies. Thank you to Vishal Rajpal, Venkatesh Sankaran, and Jayson Stemmler for leading the workshop, with support from Olivier Fontana and Mila Novakovic and to Mandi Soleil, Scott Munson, and the Anthropic team for your support and collaboration. [Image description: Participants standing in front of a presentation screen at a Claude Code Enterprise AI workshop, with classroom sessions shown below] #ClaudeCode #ClaudeCodeWorkshop #EnterpriseAI
About us
Fractal is a publicly listed global enterprise AI company with a vision to power every human decision in the enterprise. With a workforce of over 5,000 professionals across North America, EMEA, and Asia-Pacific, Fractal partners with Fortune 500® companies to embed AI into critical business decisions across growth, supply chains, pricing, and customer experience. Committed to sustained innovation, Fractal invests more than 5% of its annual revenue in AI research and development, supporting foundational AI research, product development, and IP creation that address both immediate client needs and long-term technological advancement.
- Website
-
https://fractal.ai/?utm_source=linkedin&utm_medium=coverpic&utm_campaign=socialmedia
External link for Fractal
- Industry
- Business Consulting and Services
- Company size
- 5,001-10,000 employees
- Headquarters
- New York
- Type
- Public Company
- Founded
- 2000
- Specialties
- Marketing Analytics, Advanced Analytics, Forecasting, Customer Lifetime Value, Pricing & Promotions Optimization, Consumer Insights, Customer Lifecycle Management, Customer Analytics, Predictive Analytics, Artificial Intelligence, Machine Learning, Integrated Marketing Effectiveness, Data Science, behavioral science, design thinking, data engineering, and Agentic AI
Locations
Employees at Fractal
Updates
-
𝗧𝗵𝗲 𝗵𝗮𝗿𝗱𝗲𝘀𝘁 𝗽𝗮𝗿𝘁 𝗼𝗳 𝗱𝗲𝗽𝗹𝗼𝘆𝗶𝗻𝗴 𝗔𝗜 𝗶𝘀 𝗻𝗼𝘁 𝘁𝗵𝗲 𝘁𝗲𝗰𝗵𝗻𝗼𝗹𝗼𝗴𝘆. 𝗜𝘁 𝗶𝘀 𝗲𝘃𝗲𝗿𝘆𝘁𝗵𝗶𝗻𝗴 𝗮𝗿𝗼𝘂𝗻𝗱 𝗶𝘁. Most enterprises have run AI pilots. Many have seen results. Very few have achieved transformation. The gap is not the model. There are three things that have to work together: 𝗗𝗼𝗺𝗮𝗶𝗻 𝗸𝗻𝗼𝘄𝗹𝗲𝗱𝗴𝗲 deep enough to navigate messy data, legacy systems, and the way decisions really get made. 𝗧𝗲𝗰𝗵𝗻𝗶𝗰𝗮𝗹 𝗰𝗮𝗽𝗮𝗯𝗶𝗹𝗶𝘁𝘆 to not just use AI models, but tune them and build the guardrails that make them reliable. 𝗕𝗲𝗵𝗮𝘃𝗶𝗼𝗿𝗮𝗹 𝗱𝗲𝘀𝗶𝗴𝗻 to change how people work and what they trust. Most teams skip this. Most implementations fail here. AI that does not account for the human side does not get adopted. And AI that is not adopted does not transform anything. Swipe to see what real enterprise AI transformation actually requires. Ready for the real enterprise AI transformation? Click here to know more: https://lnkd.in/dXWCH5HH #EnterpriseAI #AITransformation #Leadership #Fractal #FutureofWork
-
What happens when your biggest asset becomes your biggest risk? A leading US pharma company was drowning in data, however couldn’t trust it. Silos everywhere. No clear ownership. Inconsistent metadata. And the real cost? Slower decisions, compliance risks, and missed opportunities. That’s where the story shifts. Instead of layering more tech, they reimagined the foundation: → Defined who owns what → Standardized how data is structured → Built visibility across systems → And most importantly, created a culture where data governance isn’t a rulebook, it’s a mindset. The transformation didn’t just fix processes. It changed behavior. Governance councils aligned teams. Training empowered people. KPIs made it stick. And the impact? 🔸 Faster access to trusted data 🔸 Streamlined, confident decision-making 🔸 FDA-ready compliance with reduced risk 🔸 A culture where data isn’t questioned- it’s trusted Because real transformation isn’t about managing data. It’s about building trust in every decision powered by it. Read the full story: https://lnkd.in/d-gNWK59 #DataGovernance #PharmaIndustry #RegulatoryCompliance
-
𝗗𝗼𝗻’𝘁 𝗺𝗶𝘀𝘁𝗮𝗸𝗲 𝗻𝗼𝗶𝘀𝗲 𝗳𝗼𝗿 𝗹𝗲𝗮𝗱𝗲𝗿𝘀𝗵𝗶𝗽. 𝗧𝗵𝗲 𝗹𝗼𝘂𝗱𝗲𝘀𝘁 𝗯𝗿𝗮𝗻𝗱𝘀 𝗮𝗿𝗲𝗻’𝘁 𝗮𝗹𝘄𝗮𝘆𝘀 𝘁𝗵𝗲 𝗼𝗻𝗲𝘀 𝘄𝗶𝗻𝗻𝗶𝗻𝗴. In this interview, Howard Yu, LEGO Professor of Management and Innovation at the IMD Business School, breaks down why chasing flashy AI case studies can be misleading and what truly separates leaders from the rest. While everyone’s focused on headline-grabbing innovations, the real winners are building quietly: 🔸 Strong digital backbones️ 🔸 Seamless data flow across silos 🔸 Deep investments in data literacy 🔸 Innovation that scales Successful global companies didn’t get ahead overnight. They spent years laying the groundwork so when the next wave like Agentic AI arrives, they’re ready to scale it. Because in the end, it’s about being 𝗰𝗼𝗻𝘀𝗶𝘀𝘁𝗲𝗻𝘁. 𝗖𝘂𝗿𝗶𝗼𝘂𝘀 𝘁𝗼 𝗱𝗶𝘃𝗲 𝗱𝗲𝗲𝗽𝗲𝗿 𝗶𝗻𝘁𝗼 𝘄𝗵𝗮𝘁 𝘀𝗲𝘁𝘀 𝗳𝘂𝘁𝘂𝗿𝗲-𝗿𝗲𝗮𝗱𝘆 𝗰𝗼𝗺𝗽𝗮𝗻𝗶𝗲𝘀 𝗮𝗽𝗮𝗿𝘁? Read the full interview here: https://lnkd.in/dxNUeZRE #AgenticAI #aisightVol11
-
We’re excited to be heading to 𝗗𝗮𝘁𝗮 + 𝗔𝗜 𝗦𝘂𝗺𝗺𝗶𝘁 𝟮𝟬𝟮𝟲, and you’ll find the Fractal team at 𝗯𝗼𝗼𝘁𝗵 #𝟰𝟭𝟯 throughout June 15–18 in San Francisco. DAIS is a chance to step back from day to day delivery and have open conversations about what it really takes to scale AI in the enterprise. If you’re attending and want to connect, it’s easy to lock time in advance. Schedule a meeting with us here: https://go.fractal.ai/DAIS #DAIS2026 #GenAI #EnterpriseAI #DataAISummit
-
-
𝗠𝗼𝘀𝘁 𝗰𝗼𝗺𝗽𝗮𝗻𝗶𝗲𝘀 𝗮𝗿𝗲 𝘂𝘀𝗶𝗻𝗴 𝗔𝗜 𝘁𝗼 𝘀𝗮𝘃𝗲 𝟭𝟬%. 𝗧𝗵𝗲 𝘄𝗶𝗻𝗻𝗲𝗿𝘀 𝘄𝗶𝗹𝗹 𝘂𝘀𝗲 𝗶𝘁 𝘁𝗼 𝘀𝗼𝗹𝘃𝗲 𝘄𝗵𝗮𝘁 𝘄𝗮𝘀 𝗽𝗿𝗲𝘃𝗶𝗼𝘂𝘀𝗹𝘆 𝗶𝗺𝗽𝗼𝘀𝘀𝗶𝗯𝗹𝗲. In a conversation with Tom Gruber (Co-creator of Siri) and Ben Vigoda (AI scientist, MIT), a different picture of AI emerged: Not automation. Not copilots. Not efficiency. However, a fundamental shift: 🔸 AI is becoming something we relate to, not just use 🔸 The real unlock is human augmentation, not replacement 🔸 And the biggest risk isn’t technology, it’s 𝘀𝗺𝗮𝗹𝗹 𝘁𝗵𝗶𝗻𝗸𝗶𝗻𝗴 Because right now, most AI strategies sound like: “Where can we cut costs?” When the better question is: “𝗪𝗵𝗮𝘁 𝗽𝗿𝗼𝗯𝗹𝗲𝗺 𝗰𝗮𝗻 𝘄𝗲 𝗳𝗶𝗻𝗮𝗹𝗹𝘆 𝘀𝗼𝗹𝘃𝗲 𝗻𝗼𝘄 𝘁𝗵𝗮𝘁 𝘄𝗲 𝗰𝗼𝘂𝗹𝗱𝗻’𝘁 𝗯𝗲𝗳𝗼𝗿𝗲?” That’s the gap between incremental ROI…and category leadership. The uncomfortable truth? We’re still using a breakthrough technology to optimize yesterday’s playbook. 👉 Swipe for the ideas that will matter over the next decade. 🎥 Watch the full conversation: https://lnkd.in/d_jRuQvw #AI #FutureOfWork #AILeadership #HumanAugmentation #NotJustAI
-
AI-led transformation continues to shape enterprise priorities, with increasing adoption across industries. Q4 FY-26 reflects this shift, with steady growth and improved profitability. • Revenue: $106M, up 17% YoY • Net Income: $14M, up 109% YoY • Gross Margin: 48.2% (↑47 bps) • Adjusted EBITDA Margin: 22% (↑189 bps) 𝗙𝗬-𝟮𝟲 𝗽𝗲𝗿𝗳𝗼𝗿𝗺𝗮𝗻𝗰𝗲: • Revenue: $395M, up 19% YoY • Net Income: $34M, up 30% YoY • Net Income Margin: 8.7% (↑72 bps) Segment growth was led by Healthcare & Life Sciences (+82%) and BFSI (+42%), with moderate growth in CPGR (+11%) and a decline in TMT (-19%). Net Revenue Retention stood at 112%, indicating continued expansion within existing client relationships. Geographically, Europe grew 34% YoY and the Americas 20% YoY, while APAC declined by 3%. The business continues to shift toward higher-growth segments while maintaining margin discipline. The report is available in: 🔸 Digital-first dark mode format: https://lnkd.in/dqqjMASd 🔸 Print version designed on a white background: https://lnkd.in/dQjSSwZM
Today, we shared our Q4 and full year FY26 results - our first full year of results as a public company. It was an important moment for us to reflect on the scale of the enterprise #AI opportunity ahead and the progress we are making to help shape it. Some highlights from FY26: • Revenue grew 19% to ₹3,300 crore • Net Income grew 30% to ₹287 crore • Net Revenue Retention remained strong at 117% • Healthcare & Life Sciences grew 66% • Europe grew 34% • Major progress across our AI platforms and research, including Asper.ai, Flyfish.ai, #Vaidya 2.0, #Fathom, and #PiEvolve Here’s a short excerpt from my shareholder letter on the moment we are in and the opportunity ahead for enterprise AI: “The future is not arriving evenly. The value generated by AI is improving faster than enterprises can absorb it, while the cost of intelligence continues to fall rapidly. The gap between what AI can do and what enterprises have actually deployed remains enormous. The next phase of AI will not be about infrastructure alone. It will be about transforming how enterprises actually work - across decisions, workflows, operations, and customer experiences. The companies that shape this era will be the ones that can take frontier AI and make it reliable inside complex organizations. That requires domain expertise, AI engineering, and a deep understanding of how people and systems change together." This is the work Fractal was built for. I am grateful to our clients, investors, and Fractalites who continue to build this journey with us. Pranay Ashwath Satish (Full shareholder letter in the comments below) #EnterpriseAI
-
“Don’t stop till you get enough.” 🎵 Proud to share that Fractal has been recognized as a Leader in the 2026 𝗔𝗜𝗠 𝗥𝗲𝘀𝗲𝗮𝗿𝗰𝗵 𝗧𝗼𝗽 𝗗𝗮𝘁𝗮 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 𝗦𝗲𝗿𝘃𝗶𝗰𝗲 𝗣𝗿𝗼𝘃𝗶𝗱𝗲𝗿𝘀 𝗣𝗲𝗠𝗮 𝗤𝘂𝗮𝗱𝗿𝗮𝗻𝘁. The study evaluated 23 leading providers across two key dimensions: Market Penetration (Pe) Technology Maturity (Ma) As organizations shift from AI ambition to execution, strong Data and Agentic AI foundation is key. We're excited to keep partnering with global companies on this journey. Shashidhar Ramakrishnaiah | Deepak Sharma | Ivneet Kaur | Abhishek Sharma | Venkatesan B.
AIM Research just released the PeMa Quadrant: Top Data Engineering Service Providers 2026. 23 vendors evaluated across Market Penetration and Technology Maturity — based on responses to the PeMa questionnaire, capability briefings, solution demos, and supporting case studies. Here's how the market stacks up: → Leaders (10): Blend, C5i, Evalueserve, Fractal, Indium, LatentView Analytics, Polestar Analytics, Qubika, Straive, Tiger Analytics → Seasoned Vendors (6): @aays , Exponentia.ai, Ganit Inc., JK Tech, Neoware Technology Solutions, Simform → Growth Vendors (3): Aspire Systems, Chetu, Inc., Hoonartek → Challengers (4): Aventra Group, Indus Net Technologies (INT.) , Konverge AI, StratLytics Consulting For tech buyers, the Quadrant is one leg of the stool. Your RFP, capability gaps, and partner fit still matter — but this cuts shortlist time from weeks to hours. Full report: https://lnkd.in/ecpSqz7e What's coming next on the PeMa calendar: https://lnkd.in/gkqDdVnm
-
-
For the past few days, we asked: What really changes behavior? Today, we share the answer. 📘 𝗠𝗶𝗰𝗿𝗼𝗦𝘁𝗶𝗺𝘂𝗹𝗶: 𝗧𝗵𝗲 𝗡𝗲𝘄 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 𝗼𝗳 𝗣𝗲𝗿𝘀𝘂𝗮𝘀𝗶𝗼𝗻 A new book that shows how decisions are shaped in milliseconds, before awareness. Available now on Amazon. Link in comments. #HumanBehavior #DecisionMaking #BehavioralScience #MicroStimuli Biju Dominic