Enlist the world's computation experts to help with your project—any size, any level.
At Wolfram, we know what's possible with computational technology because we are global leaders in creating it. That gives us an unprecedented depth of expertise in applying it to consulting work in a variety of fields.
We work on projects across all industries: science, engineering, business, finance, software development, authoring and publishing. Whether you are starting a new project or need help with something in progress—any size or scope—you'll get unparalleled innovation and high-fidelity results with Wolfram Technical Consulting.
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Case Study: NHS Hospital Safety
Using the Wolfram Language allowed us to combine a huge amount of disparate data kept in multiple, inconsistent databases, analyze it and provide actionable analysis in just ten days.
-Jon McLoone, Director of Technical Consulting, Wolfram Research
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Case Study: AID-GI
Using the Wolfram Language allowed us to easily join up the image processing, machine learning and data visualization required to present clinicians with the information they needed, together with the tools to create and deploy an easy-to-use interface.
-Jon McLoone, Director of Technical Consulting, Wolfram Research
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Case Study: Langham Hall
Wolfram allows us to collate, compute, and update a truly comprehensive set of data points on our clients' portfolios... with an unrivalled level of reliability and insightful analysis: end-to-end, highly responsive, all in-house.
-Andrew Read, Partner and Head of Asia, Langham Hall
Unique to Wolfram Technical Consulting
Multiparadigm Approach
Utilizing a broad range of modern analytical techniques and interfaces, we consistently deliver real, quantifiable answers to problems too complex for traditional methods.
Deep Domain Expertise in Computational Fields
From machine learning to data visualization to web deployment, we bring together specialized knowledge in key computation areas to optimize implementation.
Both Computational Expertise and Our Own Technology to Back It
We pair unparalleled expertise in Wolfram technology integration with diverse computational backgrounds to help you achieve your goals with speed and efficiency.
Cross-Discipline Application of Computational Techniques
Drawing from our diverse backgrounds, we test and combine methods from a variety of areas and industries to ensure the most thorough results.
Communication with Computational Notebooks
Pioneered and led by Wolfram Research, notebooks provide an intuitive, all-in-one environment for interactive research, development and deployment.
Delivery of Functioning Software, Not Reports
Our interactive solutions give you the power to explore alternatives through live, data-driven deployments rather than confining you to pre-generated results.
Decades of Leadership in Computation
We have an extensive record of innovation in technology and science, inventing the computational future since 1988.
Enterprise Computation, Accessible Anywhere
We offer tight integration with public and private cloud technology for immediate, secure access to your data and computations.
"By leveraging the full spectrum of methods and tools available, we constantly surprise clients with key insights in areas they hadn't considered."
— Jon McLoone, Director of Technical ConsultingSpecial Focus: Multiparadigm Approach to Data Science
While most organizations are only scratching the surface of what's possible, our multiparadigm approach to data analytics and problem solving incorporates a wide range of cutting-edge algorithms and interdisciplinary methods to extract insights, meaning and decisions from data—dramatically extending the scope of problems computation can solve.
Machine Learning
Generate adaptive models directly from complex datasets for object classification and predictive analytics, such as identifying which new advertising markets to enter.
Report Generation
Display conclusions and insights in a styled, formatted document for meetings, ongoing projects or public information, like a quarterly earnings report.
Time Series
Model, simulate and forecast sequences of events over time to track long-term trends and make predictions, such as expected sales for the next holiday season.
Neural Networks
Create and train layered processing networks for deep analysis and processing tasks, such as recognizing defective items coming off a production line.
Cluster Analysis
Group and analyze data based on similarity measures to extract underlying patterns and relationships, such as which customers are most similar to your top 100.
Graph/Network Analysis
Explore and visualize systems of discrete relationships to analyze correlations and patterns, such as modeling demographics in a social network.
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Dynamic Visualization
Display data in styled plots, charts and infographics, making it human-readable and interactive for quick analysis and decision making.
Survival Analysis
Compute survival functions and lifetime distributions to analyze time-to-event data, such as the expected lifetime of a piece of industrial equipment.
Semantic Text Analysis
Analyze underlying structures in linguistic data to clean up data and extract meaning, such as determining sentiment in customer comments.
Data Semantics
Standardize various incoming datasets into a unified framework for easier analysis, such as consolidating data with different unit systems.
Queueing Theory
Model and simulate systems of queues to analyze waiting times and resource allocation, such as the optimal number of tellers at a bank branch.
Wavelets
Deconstruct data signals into constituent parts for advanced manipulation and filtering of specific features, such as eliminating background noise from sensor data.
Systems Modeling
Model physical, electrical and other systems to inform design decisions, like the most effective heating installation for a building.
Statistical Distributions
Fit historic data to parametric distributions to make inferences about the underlying events, such as the likelihood of a customer clicking through an ad.
Random Processes
Model the progression of a system over time to make observations and predictions about its behavior, such as analyzing peak hours at a particular store location.
Optimization
Use high-level mathematics to discover the "best values" for your data in relation to key criteria, such as the ideal allocation of portfolio assets.
Morphological Analysis
Use geometric transformations on images and higher-dimensional data to analyze spatial properties, such as counting particles in a microscopic image.
Computer Vision
Process visual data with machine learning and other sophisticated algorithms for analysis of features and patterns, such as identifying road hazards from a video feed.
Signal Processing
Process and filter images, audio and other collected data to analyze underlying patterns, such as detecting an irregular heartbeat from an ECG.
Custom Interface Construction
Make interactive onscreen controls for real-time adjustment of parameters in analyzes and visualizations, allowing deeper exploration of data.
Parallel Computing
Distribute parallel tasks to available computation units for large-scale scientific computing and other high-performance applications.
Geocomputation
Use precise geolocation data and powerful geodetic computations to accurately examine real-world situations, such as visualizing optimal routes for a bus service.
Mathematical Modeling
Drive systems of differential equations, recurrence relations and symbolic formulas with your data to test and refine models, such as computing the recovery rate of an epidemic.
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Whether individual or enterprise, from concept to deployment, our computation experts can help you achieve robust results with less time and effort.
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Have a question or want to talk to someone about how Technical Consulting can help you? Leave us a message. If you have a project in mind with specific details, you can fill out our project form to guide you through the process.
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