Services
Fast Pace Labs accelerates and delivers high impact AI / advance analytics initiatives via two distinct Service Offerings:
Use Case Build
We partner with our clients to deliver priority problems / use-cases through their entire life cycle - right at the start from A. the 'proof-of-concept' stage, to B. the pilot / production and finally to C. helping integrate and manage the models within core client's operations.
Lab Services
We also engage as a 'lab for hire', where clients would like us to focus on creating and optimizing a portfolio of re-usable tools/approaches for a complex use-case family - rather than take a single instance of a use-case through its life-cycle.
Research based Build
A world class, objective 'Research based AI Build' methodology - that ensures project success even in highly complex and otherwise 'difficult to break' problems - away from traditional 'off-the-shelf' data-science. Importantly, this takes away the individual data-scientist's own 'bias' away from project delivery.
PhD AI Engagement
A first of her kind - 'PhD AI Engagement Manager' - who is trained to independently own & deliver successful AI/Analytics projects, supported by Principal Scientists who help shape the right algorithmic/mathematical pathway.
Our Key Partners
Collaborative Efforts
FutureLabs is a distinctive tech VC & VentureBuilder established by former Partners of McKinsey Ventures. The firm focuses on identifying best-of-breed B2B big data, cybersecurity & AI start-ups and scale them into regional and global leaders.
Hitachi Consulting - a business consulting & technology major, with a significant expertise in IT and IOT - co-creates with client organisations around the world to accelerate their digital transformation and respond to dynamic global change. AIMU Tech is working with Hitachi consulting in delivering AI / Computational mathematics expertise and services to the latter's marquee global clients.
FinMechanics provides software solutions and services to global Investment Banks, Regional and Commercial Banks, Asset Managers, Central Banks, Foreign Exchange services, Precious Metal dealers and Corporate Treasuries.
Cutting edge research in enterprise
artificial intelligence is core to Fast Pace Labs
Current Research
Anomaly analysis
Understanding 'anomalous patterns' represents a significant area of interest to Fast Pace Labs, given the range of use-cases it represents.
At our lab, we look at anomalies such as 'financial fraud', 'machine failure' through the lens of 'evolution', away from the more common approach of considering these a single step phenomenon - requiring us to unify singular approaches from across mathematical fields, rather than limiting ourselves to traditional AI.
Auto data space optimization
Fast Pace Labs leverages multi-disciplinary approaches to transform data to its highly optimized version (technically - to a more optimal subspace), which 'significantly amplifies' the power of machine learning models applied on it.
This does away with the painfully manual & ad-hoc process of decisions that determine what final data enters a clustering/supervised learning model - not only optimizing the pre-model 'data science expert' stage, but also enhancing the efficiency of a typical data science life-cycle by over 50%
Supervised feature extraction from textual data
Extraction of an optimal, hidden 'concepts-space' from text - that maximizes the ability to explain a response variable - could expand the usage of experts/analysts' opinions and even world/social media data in enterprise supervised learning.
Fast Pace Labs is working to bring about a robust, trust-able methodology to this exciting area, by approaching this as a manifold optimization problem - that requires combining natural language processing with, algebraic-mathematics and statistics.
Sample Projects
Partnering With Our Clients To Deliver Artificial Intelligence Enabled Impact
Launching a new AI powered data monetization business
Building an AI asset that connects online usage patterns with consumption of content, helping our Client enhance and monetize content consumption patterns. Uses a cluster of Machine Learning led and model-free methods to build out the algorithm pathway. 30%+ Improvement in predictive power $15m+ New Business Impact
Personalization for a top tier healthcare operator
Building of a robust advanced analytics engine to help our client create actionable insights on a series of personalization levers that potentially impacted the delivery quality to their target patient cohort
Auto feature engineering for anomaly analysis
Discovering optimal feature transformations customized to Supervised Anomaly analysis, i.e. discovery of the specific set of physical behaviours for each raw input in a data table to best mimic distribution of the response variable.