Next-Level Analytics Solutions
for Your AI-Led Journey
We build next-level analytics for our customers, operate on a per project basis, deliver outcome based predictive analytics solutions, and our projects pay for themselves!
2predict’s team of experts have decades of experience in Machine Learning (ML) algorithmic development, including the use of Python open source libraries, and creating custom algorithms to address specific customer needs.
We use ML (supervised, unsupervised reinforcement learning), Deep Learning (CNN, RNN, LSTM), NLP and all the modern data science tools.
Our data scientists offer unmatched skills and experience at a fraction of the cost of you hiring and maintaining data scientists in house.
Leverage neural networks to predict equipment failures, optimal points of presence, target customers, production and yield performance.
Build insightful visualizations and extract features from image and video data collected via drone, satellite, aircraft or fixed location. Experience with noisy and intermittent data from harsh or remote environments.
Detect, classify and identify objects or events utilizing multi-spectral cameras, LiDAR or other imagery.
Integrate diverse sensor and signal data – audio, vibration, location, accelerometer, environment, etc. – to enhance insights and predictive models.
You have plenty of data but feel that you’re not utilizing it to drive your business decisions.
Your competitors have higher margins/revenue and are already optimizing their business based on data in hand.
You don’t have a dedicated and experienced data science team.
Big Data projects are cost prohibitive.
Reduce Unscheduled Downtimes -- Predict equipment failure and reduce costs associated with unscheduled downtimes, reduce number of standby-parts required for unscheduled downtimes
Increase Margins -- Optimize supply chain, reduce expedited freight costs, improve RMA forecasting and reduce warranty costs
Increase Revenue -- Improve sales forecasts, increase lead conversion, increase channel performance and reduce customer churn