Wolfram Research
To develop the science, technology and tools to make computation an ever-more-potent force, to provide the framework to let computation achieve its full potential, and to make it possible to compute whatever can be computed, whenever and wherever it is needed.
At a Glance
- Education (universities, K-12, individual students)
- Research institutions and laboratories
- Engineering and manufacturing
- Finance and banking
- +5 more
AI Tools by Wolfram Research
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Wolfram|Alpha
Computational Knowledge Engine
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Latest News
Two New Wolfram Book Series to Advance Computational Work
Instant Supercompute: Launching Wolfram Compute Services
Announcing the 2025 Innovator Award Winners
New Features Everywhere: Launching Version 14.3 of Wolfram Language & Mathematica
Products & Services
The original flagship technical computation product. A comprehensive system for modern technical computing with over 6,000 built-in integrated functions covering neural networks, machine learning, image/audio/video processing, symbolic and numerical computation, data science, visualization, and more. Available on desktop, cloud, and mobile platforms.
A computational knowledge engine that provides answers by computing from a vast collection of built-in data, algorithms, and methods. Available in free, Pro, and Enterprise versions.
A knowledge-based symbolic programming language with integrated algorithms, data, and deployment options. Forms the foundation of all Wolfram products.
The first fully cloud-desktop hybrid, integrated computation platform—the ideal entry point to using the full capabilities of the Wolfram technology stack.
Market Position
Wolfram Research positions itself as a leader in computational intelligence and symbolic computation, differentiating from competitors like MathWorks (MATLAB), Maplesoft (Maple), and open-source alternatives (Sage, Octave). Key differentiators include: (1) Integrated knowledge base with real-world data, (2) Symbolic computation strength, (3) Natural language processing capabilities via Wolfram|Alpha, (4) Cloud-desktop hybrid approach, (5) Comprehensive ecosystem spanning education to enterprise applications. While MATLAB is more engineering-focused and Maple is math-oriented, Mathematica positions itself as a more comprehensive computational platform.
Leadership
Founders
Stephen Wolfram
British-American computer scientist, physicist, and businessman. Born in London in 1959, attended Eton College and St. John's College, Oxford. Earned a PhD in particle physics from Caltech in 1980. Published first scientific paper at age 15. Became the youngest recipient of a MacArthur Fellowship in 1981. Worked at Caltech, Institute for Advanced Study in Princeton, and University of Illinois at Urbana-Champaign before founding Wolfram Research in 1987.
Theodore Gray
Author, publisher, software developer, and science popularizer. Co-founded Wolfram Research in 1987. Wrote the Notebook user interface for Mathematica and led the user interface group for over 20 years. BAFTA and IgNobel award winner (IgNobel Prize in Chemistry, 2002). Author of several books including The Elements, Molecules, and Reactions. Columnist for Popular Science magazine for ten years. Founded Touchpress (app publishing company) in 2010.
Executive Team
Stephen Wolfram
Founder, President, and CEO
British-American physicist, computer scientist, and businessman. PhD in particle physics from Caltech (1980). Youngest MacArthur Fellow (1981). Creator of Mathematica, Wolfram|Alpha, and Wolfram Language. Author of 'A New Kind of Science'.
Conrad Wolfram
Strategic Director and CEO of Wolfram Research Europe
British technologist and businessman. Founded Wolfram Research Europe in 1991 after the company's US launch. Co-founder of the European division and has served as its CEO for over three decades. Known for work in mathematics education reform and founder of computerbasedmath.org.
Board of Directors
Founding Story
Stephen Wolfram founded Wolfram Research in 1987, shortly after developing the concept of Mathematica while working at the University of Illinois at Urbana-Champaign. The company was created to develop and commercialize Mathematica, a revolutionary computational software system. Theodore Gray joined Stephen Wolfram in 1987 to help with the development, particularly focusing on the user interface. The company was named after its founder and chose to remain a closely held private company to focus on long-term research and development goals rather than short-term market pressures.
Business Model
Revenue Model
Software licensing and subscriptions for desktop, cloud, and enterprise products. Revenue from API usage (Wolfram|Alpha APIs), consulting services, training, and paid project support. Products are sold through various licensing models including individual, academic, commercial, and enterprise licenses.
Pricing Tiers
Customizable preferences and personalized experience. Does not include step-by-step solutions.
Enhanced features including step-by-step solutions, practice problems, guided calculators, 2X extended computation time, 2MB file upload limit, customized graphics and downloadable results, enhanced mobile experience, priority support.
Complete access to all features including step-by-step solutions, practice problems, guided calculators, 3X extended computation time, 5MB file upload limit, customized graphics and downloadable results, enhanced mobile experience, priority support.
Desktop and cloud licenses available for students, hobbyists, and personal use. Includes 3,000 WolframAlpha function calls per month.
Commercial licenses for professional use with various tiers based on features and deployment options.
Target Markets
- Education (universities, K-12, individual students)
- Research institutions and laboratories
- Engineering and manufacturing
- Finance and banking
- Data science and analytics
- Government and defense
- Technical computing for innovators, educators, and students
- Industrial-strength large-scale problem solving
- Creation of publication-quality documents and interactive presentations
- Real-time data analysis using live real-world data
- Development of AI tools and user interfaces
- Scientific and medical research computation
- CERN
- Capgemini Engineering
- Various universities and educational institutions worldwide
- Research institutions globally