Falkonry

Patterns you don't know or can't describe affect your mission

You are looking for sequences, shapes, waveforms and value distributions in noisy real-time data without programming or data science expertise

Time Series Patterns

Patterns have predictive power

Critical patterns happen before events that impact your business. If you know them, you can prevent that impact.

Patterns explain critical events

Known correlations break down during critical events but you don't know what cause them and what happens during them

Know patterns, become an expert

Patterns are known only to experts and it is hard to teach them to others, which makes training and recruiting too slow

Why use Time Series Intelligence to discover and recognize patterns?

Patterns cannot be described - they have to be learned - and there are not enough examples to learn them easily or enough data scientists to create and maintain the learning systems.

No or very few examples

Dozens of potential data sources

High sampling frequency

Continuous process operations

Add new examples over time

Limited compute resources

PatternIQ™ discovers and learns multivariate patterns

PatternIQ™, Falkonry's patented technology, copes with data idiosyncracies, stitches together different data sources and automatically creates features from available data to identify distinct multivariate patterns even without any labels. It provides hints for unknown patterns, incorporates expert labels to simplify action, and explains every output to identify the signals that matter in critical patterns.

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Subtle Time Series Patterns

PatternIQ™ visualizes your patterns

See each pattern with time plots to understand the reasons why they happen and when they start.

  • Auto learn features in each signal
  • Assess relative contribution of each signal
  • Maximize accuracy of pattern differentiation
  • Automatically handle sampling inconsistencies
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Analyzing Time Series Patterns

PatternIQ™ explains patterns to people who improve and operate

PatternIQ™ provides native tools to understand patterns and their differences. Used to differentiate signals on the basis of their use in predictive analytics as opposed to controlling the process.

  • Understand quantitiative effects of different cauaes
  • Develop trust in the computer's results
  • Inform design and operational training
  • Understandable to humans and other algorithms
Time Series Visualization

No code pattern classification with few or no labels

Automated, no-code data and feature engineering and MLOps. Labeling tool that reduces data set size. Generalizes to multiple processes with similar behavior.

  • Works with as few as two examples
  • Gracefully deals with unbalanced data
  • Reveals early warning patterns
  • No hyperparameter tuning
  • Traces outputs back to model inputs
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Helpful Resources

Take control of your mission.

Take away drudgery and toil from exploiting real-time data from sensors and telemetry. Rapidly figure out what's going on.

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