End-to-end AI consulting from strategy through production deployment. We help you build the right thing, the right way.
We develop high-impact AI strategies tailored for your organization. With proven frameworks and deep cross-industry expertise, we identify the best ML use cases and create a clear, actionable roadmap.
Too many AI projects fail because of a disconnect between technical teams and business goals. We bridge that gap by ensuring every initiative is grounded in measurable outcomes.
Solve complex automation challenges with tailored, production-ready solutions. From time-series forecasting and NLP pipelines to sensor fusion and biometric algorithms.
Off-the-shelf solutions rarely fit complex enterprise problems. We design and build custom models tailored to your specific data, constraints, and objectives.
Ensure smooth AI deployment with robust, scalable infrastructure. We design end-to-end pipelines with CI/CD workflows built for continuous model improvement.
A model is only valuable if it runs reliably in production. We build infrastructure that scales, monitors, and maintains your AI systems over time.
Validate concepts quickly before committing resources. We specialize in rapid prototyping to prove out approaches and de-risk your AI investments.
Before committing significant resources, you need to know if an approach will work. We help you test ideas quickly and make informed decisions.
Production systems for non-invasive blood pressure monitoring, hydration estimation, and biometric signal processing.
Time-series forecasting, recommendation engines, and sentiment analysis for major gaming platforms.
Sensor fusion, electronic warfare, and mission-critical decision support across SBIR programs.
NLP-based fraud detection, anomaly detection, and real-time control system optimization.
AI reduces manual effort in complex, repetitive workflows.
Replicates human-like pattern recognition and decision-making.
More consistent processing with fewer errors.
Data-driven strategies that increase engagement.
AI-powered insights that set you apart.
At Think Tank AI, we are not just another software development shop dabbling in AI. We have been focused on machine learning and analytics from day one, with a singular mission: to bring practical, production-ready AI solutions to enterprises facing complex technical challenges.
Our journey spans over 25 years of hands-on experience across diverse domains. We thrive on working in ambiguity to solve hard problems while always looking to innovate by bringing together smart, motivated people and engaging them in technical challenges.
Real results from real engagements. Here's how we've helped organizations solve complex AI & ML challenges.
Zynga needed to forecast revenue across their entire mobile gaming portfolio eight quarters into the future, optimize cross-channel advertising spend across four major channels, and develop a pricing strategy that accounted for regional economic differences.
We developed time-series revenue forecasting models leveraging Google TimesFM foundation model, achieving 23% improvement in forecast accuracy. We designed a Bayesian mixed-media marketing attribution model and built a geo-based pricing optimization framework using purchasing power parity indices.
Data-driven forecasting enabled more strategic resource allocation across the portfolio. The geo-pricing optimization increased average revenue per user (ARPU) by 15% in regions where price elasticity allowed for adjustment.
TritonX was developing a wearable medical device for hydration and blood pressure monitoring, with a focus on reducing emergency room readmissions among elderly patients. They needed a novel algorithm for hydration estimation using bioimpedance and skin reactance signals.
We led the R&D effort to design and develop a hydration estimation algorithm using self-supervised learning, advanced feature engineering, and signal processing techniques. We provided systems engineering support to integrate the algorithm into the product architecture.
Clinical trials demonstrated that the hydration monitoring system reduced ER readmission rates among elderly patients by 20%. The product remains in active development toward regulatory approval and market launch.
Dexcom (Valencell) sought to develop a cuff-less, non-invasive blood pressure monitoring system that could be embedded in multiple wearable form factors and licensed to OEM partners. The solution needed to meet ISO/IEEE accuracy standards.
We led hands-on development of core deep learning algorithms over seven years using Keras, TensorFlow, and PyTorch, including transformer architectures. We built and managed the data science team from the ground up and trained models on a dataset of over 3,000 participants.
Successfully integrated advanced biometrics into Dexcom's multi-form-factor OEM product suite. The work contributed to Dexcom's acquisition by a major healthcare technology company.
The Department of Defense required multi-modal sensor platforms for detection, classification, and tracking across diverse operational contexts, with adaptive fusion algorithms capable of integrating sonar, radar, and imaging data.
Over seven years, we served as Principal Investigator on multiple Phase I and Phase II SBIR/STTR contracts. We developed sensor fusion systems using Bayesian inference and created super-resolution imaging, 360-degree day/night vision systems, and real-time radar simulations.
Delivered mission-critical capabilities with measurable improvements in detection and classification performance. Systems were delivered as both prototypes and operationally deployed solutions for naval missions.
Selected research publications and patents from our team’s work across biometrics, sensor systems, defense, and healthcare.
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