Technology’s magic happens behind the scenes within its automated, Augmented Data-science Engine.

Simply connect your existing data to get actionable answers to critical business questions quickly and cost effectively with minimal infrastructure and resource investment.

Within the core, your data will undergo signal processing, which is then combined with proprietary algorithms, machine and deep learning, and artificial intelligence.

Signal Processing:’s Special Sauce

At, we consider signal processing as a critical component for pre-processing the data, speeding mathematical modeling. Based on centuries of proven mathematical manipulations, signal processing streamlines data input to accelerate answer delivery, delivering best-in-class accuracy with minimal false positives, ensuring actionable results.

Signal processing

  • Improves signal-to-noise ratio
  • Eliminates the outliers
  • Streamlines the data volume
  • Creates clean data

without requiring any human intervention

Signal processing gives both you and a competitive advantage. The way signal processing transforms data into mathematical wave functions allows it to analyze data sets of any size – you can still get actionable insights from your data even if you don’t have enough relevant data for conventional big data analytics or data science.

Once’s signal processing has streamlined your data, you can now fully leverage machine and deep learning and artificial intelligence, ensuring the delivery of superior models. The augmented data analytics solution comprises complex mathematical algorithms for data processing, modeling, training, and testing.

Tailored to Your Needs – Out of the Box

BinahNOW maximizes your existing data and systems with minimal IT investment. It’s a plug-and-play solution, connecting your data to the answers you want to receive. Simply choose an interface and tap your data into our framework.

Under the Hood

Fast, scalable and accurate, the highly stable system is hardware agnostic and supports common and not-so-common processing architectures, including CPU, GPU, ARM, and DSP.

Delivering extreme modeling accuracy, it is available as SaaS service or on-premises, based on your requirements (OS, CPU, hardware, etc.) and requires no additional coding.

The platform was designed for pure simplicity of use, infrastructure, and implementation. As a single, unified system, it avoids bugs and increases the generated model’s stability, accuracy and reliability. It delivers fluent transition among development, rapid cycle and a real-time C++ implementation.

Completely data agnostic, the system works with structured, unstructured, and semistructured data. It contains multiple interfaces for input and output streams, such as

  • CSV and XLS files
  • Database interfaces
  • Restful API
  • Images and videos

Running environments supported include:

  • Public and private cloud providers – g. AWS or Google Cloud Platform, as well as private providers
  • On-premise installation
  • Ready-to-use, real-time models integrated with your business flow
  • OEM

Get a powerful AI, machine- and deep-learning-based system transforming business hypotheses and operational questions into actionable intelligence quickly.