Wolfram Data Science and AI Consulting

Data Science & AI Consulting

Your data. Our experts.

Multiparadigm data science from the makers of Wolfram|Alpha

Insights in Hours, Not Weeks

Get high-fidelity results at unparalleled turnaround times regardless of whether you are starting a new project or need help with something in progress—any size, scope or type of data.

Dashboards & Apps, Not Just Spreadsheets & PDFs

Thanks to Wolfram technology, we are uniquely able to deliver highly interactive notebooks, reports and software with a full spectrum of interfaces to power modern decision making for your organization.

Innovation, Not Imitation

Over three decades of cutting-edge computational and AI technology innovation gives us an unprecedented depth of expertise in consulting work across all industries.

Special Offer

Find out what your data has to offer before committing to a full-scale project

Rapid Data Prototyping » One-Day Package

Wolfram Supports Organizations Large and Small

Unique to Wolfram Data Science & AI Consulting

Wolfram's unified technology stack sets the standard for multiparadigm data science workflows. Whether it's Wolfram|Alpha, the Wolfram Language or Mathematica, we make artificial intelligence accessible in everything, from consumer mobile apps to enterprise natural-language interfaces for corporate data lakes.

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.

"The Wolfram Language is my Swiss Army Knife, because everything is packaged in one place. I have visualization and data analysis in just one tool."

Rodrigo Murta, Manager of Retail Intelligence, St. Marche Supermarkets

See How Your Industry Can Benefit from Multiparadigm Data Science & AI

Aerospace & Defense

Agriculture & FoodTech

Manufacturing

Biomedical & Health Fields

Chemistry & Chemical Engineering

Oil, Gas & Mining

Banking & Finance

Retail &
E-commerce

Education

Logistics & Supply Chains

Automotive & Transportation Fields

Sports & Gaming

Pharmaceuticals

Architecture & Urban Planning

Construction & Infrastructure

Natural Resources & Environmental Sciences

Don't see your industry? Talk to us.

Why a Multiparadigm Approach to Data Science & AI

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. Learn about the features of Wolfram multiparadigm data science & AI.

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 analyses 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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Delivering Services & Consulting at Any Scale

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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.

Data Acquisition Scoping out data sources and establishing automated or human-in-the-loop data acquisition pipelines

Data Preparation Wrangling and cleaning data to make it computable & ready for analysis, modeling and insights extraction

Machine Learning Training and deploying machine-learning models for common task automation and for large-scale knowledge discovery

Predictive Analytics Building advanced forecasting models based on historic and real-time Wolfram|Alpha data and your corporate databases

Custom Natural-Language Interfaces Creating custom natural-language interfaces for your own data & even enriching it with Wolfram|Alpha's curated knowledge

Image Recognition Deploying prebuilt or custom-trained neural nets for industrial computer-vision solutions

Report Generation Automating the creation of highly interactive reports, optimized for analysis and decision making on the fly

Business Intelligence Dashboards Deploying dynamic visualizations of your corporate data, models & results, optimized for clarity and accuracy

Enterprise Data Apps Building unique enterprise solutions tailored for your specific use cases and big data architecture

Unsure which type of services you need? Talk with our experts.