What We Believe

Framework for AI Success

In a rush to develop new technologies, firms can easily end up using the wrong tool or look at the wrong problem. Not all data problems should be solved using AI/ML and not all AI/ML approaches are suitable for all use cases. Every project we engage, we consider:

Business Value + Impact
Business Value + Impact
AI needs to be value driven. We understand the balance between ROI and the difficulty and cost of development and scaleable deployment.
Organizational Readiness
Organizational Readiness
An AI solution that is inaccessible to non-computer scientists is a wasted investment. We help your organization adopt AI, not just develop it.
Data Suitability + Security
Data Suitability + Security
Data comes in many forms and levels of confidentiality. AI needs to be flexible and cognizant of privacy, confidentiality and regulatory constraints.
Ethics, Bias + Privacy
Ethics, Bias + Privacy
Identifying blindspots, biases and ensuring algorithmic fairness is difficult, and our experience doing this is invaluable.
Experience

Real-World AI + ML Experience

With over 20 years of real-world AI and ML experience we help firms achieve transformational outcomes from AI investments, saving time and money in the process. Our experience includes:

Military Intelligence
When you learn AI and data science working for military intelligence, you learn that it has to work every time, at scale, in “production.” If you make a mistake, the repercussions are serious. This experience taught us that extracting the signal from the noise is often best done in the simplest way possible, but always with a deep understanding of the math behind the models that we use.
NATO + Government Security
National and supra-national cybersecurity, including critical security infrastructures, are incredibly complicated operations with many levels of technology, people, and processes. Working in cybersecurity for NATO and Federal agencies has given us a broad reach to bring together multiple cybersecurity disciplines to gain a deeper understanding of how security is influenced physically, culturally, socially, and psychologically and the depth to know how to build military-grade security controls into any operation.
Finance + High-Frequency Trading
The world of high-frequency trading is one of the highest-scale, most computationally demanding, and competitive markets for quantitative analysis and artificial intelligence. This experience has given us the scientific discipline required to develop and deploy advanced analytics, and the technological background to build systems that respond in microseconds while handling millions of events per second.
Fortune 100 Business Consulting
There is nothing easy or simple about navigating complex organizations, understanding pain points across silos, and leveraging technology to address those challenges. This experience has given us the understanding needed to focus on business problems and user experience to ensure we are always delivering valuable solutions that can be adopted across large organizations.
What I've seen is impressive. This is the first actual demonstration of viability that I've seen from any company that can take our data and work at our scale. This is remarkable speed and remarkable quality.
Data Leader at Knowledge Management Company Read Case Study
Thoughts

AI Thoughts + Insights

Case Study
Product Classification for a Global Tax Software Company
Helping one of the largest e-commerce platforms in the world figure out if there was an automated, scalable way to classify the product to collect the appropriate sales tax.
Product Classification for a Global Tax Software Company
Case Study
Data Linking for a Noisy, Huge Dataset
Urvin was approached by a firm who needed to process petabytes of noisy data with a reasonable hardware footprint and processing time.
Data Linking for a Noisy, Huge Dataset
Case Study
Pharmaceutical Prediction for FDA Phase 3 Trial
A pharmaceutical company about to begin an FDA Phase 3 trial needed to find a partner who could make predictions on a small, very noisy dataset with confidence.
Pharmaceutical Prediction for FDA Phase 3 Trial