Why Does Your Firm or Corporation Need Our Predictive Data Forecasting Technology?
Answer: Because we’ve automated the time consuming, difficult statistical modeling process (The Heart of Data Science), for you. Leveraging your data into meaningful insights, our platforms’ innovative use of modern, scalable technology saves invaluable company time and resources.
Disruptive Benefits of our Automated Solution:
Unmatched Value and Increased Productivity Output – What took months, now takes mere minutes.
Intelligent Optimization allows clients to make smarter business decisions, sooner.
Competitive Advantage/B.I.: Identify Emerging Opportunities, Demand, Trends and Potential Risk Before your Competition.
Modern Open Source Technology allows Unlimited Scaling and Predictive Data Integration Possibilities.
Automated Predictive Data Forecasting Anyone Can Use
Our technology offers immediate predictive data forecasting power, speed and precision to anyone who can upload a file.
Fast, Precise Time-Series Modeling and Forecasting
Our automated high-performance statistical modeling solution frees up valuable time and resources.
Smart. Intuitive. Simplified. Forecasting.
Our state space models are advanced probabilistic graphical models, which use theoretical techniques to analyze data. By simplifying data into component parts, state space models can apply a large variety of models to select the optimal
The Artificial Neural Network within our platform adapts and predicts on data where other techniques fail. With advances in computer processing power, Artificial Neural Networks capitalize on this, providing insight on data not previously realized.
Company Fact: Challenged by a Hedge Fund – we built it out of necessity. Our platforms robust, powerful technology was originally engineered by Statisticians (and proven) to predict Future US Airline Industry Passenger Revenues; with Institutional Grade Accuracy.
Innovation Since 2010
Since 2010, Acclaimed Labs has focused on building and deploying predictive data forecasting technology.