Leapfrog Competition

Predict & take preemptive actions

Leapfrog Competition with automated machine learning

Learn from
your Big Data
and the Open Data

with Crystal Machine Learning

Learn from your big data & open data

Target your customers

to increase their Satisfaction, Loyalty and up-sell.

Target your customers with machine learning and big data

Learn from your industry Open Data

to level-up your Competitive edge

Learn from industry open data

Focus Data Scientists on your business

Predictive Layer takes care of the maths and the rest

Focus data scientists on your business

From insights to true impact

with Crystal & Genius Predictive Layer platforms

From insights to true impact, Predictive Layer

You Need Predictive Analytics to Compete in your Industry!

84% enterprises see big data analytics changing their industries

84% enterprises see big data analytics changing their industries' competitive landscapes by 2015.

89% believe in the risk of loss of share

89% believe in the risk of loss of share if no serious action is taken.

70% of the most profitable companies

By 2016, 70% of the most profitable companies will manage business processes using real-time predictive analytics or extreme collaboration.

Few indicators


Average accuracy
last quarter


Daily forecasted energy consumption

Predicting models
in production

Customers trusting Predictive Layer
every day

Big data is out, machine learning is in
The Rise of Automated Analytics, wall street Journal - Gartner 2015 Hype Cycle

Complexity vs Business value
Complexity vs business value chart
Produced data vs Used data
Produced vs used data chart

Enterprises have deployed huge efforts to collect internal big data on their business

  • Everyday, in every industries, new sources of Open Data are available to enhance business control
  • The proprietary data of your business can bring a lot of value, when correlated with exogenous Open data

How do you use these data to drive your business?

  • "Enterprises are struggling to achieve actionable insights with analytics" - KPMG
  • Existing predictive solutions requires advanced mathematician & advanced IT agility to be combined with your best business experts.
  • Existing predictive systems requires high IT investment costs, specialized human resources, complex / long IT project implementations, for unpredictable results in a unsecured privacy & security framework.

From Big data to Smart data, move a step up in competitive advantage with automated prediction by leveraging all available internal Big data with available exogenous Open data!

  • Accurate and reliable predictions enable you to predict your business and anticipate your action plan.
  • They provide you with a major differentiation and enable a step up of your competitiveness in your industry.

Predictive Layer is providing an an automated prediction platform to serve you in your industry

Unique combinations of machine learning algorithms and artificial intelligence are used to automatically correlate :

  • Your business sources of proprietary data
  • Exogenous data delivered by the open data sources of your industry
Predictive Layer forecasts the evolution in time of your critical business indicators and allows you to take preemptive actions, leapfrogging your competition.

Predictive Layer Business Benefits

From insight to foresight

Predictive Layer provides accurate forecasts of your key business indicators, so that you will leapfrog competition by taking the right market action earlier.

Identify the right Customers opportunities

Profiling and targeting customers at risk, and customer future intents to enable churn reduction, cross sell, upsell.

Extract business value from your big data

Machine learning will learn from all your big data and identify direct opportunities for new revenue or cost reductions

Learn from the open data of your industry

Connect and learn from market available exogenous data of your industry and anticipate the trends with targeted actions

Automate Prediction process

Just focus your team on your business structure, Predictive Layer platform has automated the mathematics and the IT systems required for predictive analytics.

Secured & Flexible IT implementation

Based on your business requirements, Predictive Layer platforms will be deployed in your private IT context (in premises) or in a secured cloud base infrastructure (on the cloud).

  • With Predictive Layer Crystal and Genius Finance platforms

    You will be able to build the best prediction models for your key business performance indicators
    without requiring a mathematician expert, but by bringing your best business know-how of your industry.

    All your business analysts can now build accurate and reliable forecast models!
  • In a controlled, flexible and secure IT/cloud environment, Crystal and Genius Finance allow you to:

    1. Generate accurate and reliable forecasts to optimizing your supply, reducing your purchase and facilitating your logistics, controlling your inventories, optimize your sales & marketing & support delivery
    2. Detect and profile the future intents and next actions of your prospective customers, enabling incremental sales, increasing customer loyalty and reducing churn

  • Predictive Layer automated prediction use cases are generating
    major savings and leapfroging new revenues into these industries.


Predictive Layer services are providing automated prediction analytics.
Without requiring mathematical expertise, our clients can build their own models to forecast their core business indicators. The platform give also access to the open data of the our client industry sector so that the 'machine learning' learns from all the main market dynamics to plan further the best action plans.


Automated Prediction platform with unique machine learning algorithm to predict time series. Crystal learns from your signals and from exogenous data influencing them to predict their short evolution in time.

Genius Finance

Modeling platform for Financial Markets. By learning from the opendata financial and economic data sources, Genius forecast automatically supply, demand, transformation and market trends impact on key financial indicators.


Automated profiling & targeting platform, leveraging the knowledge embedded in your big data, and taking in consideration the key external data influencing their behaviors.

Crystal screenshot in iPad

Use Cases


Forecast market evolutions based on demand, supply and transport trends

Learn more

Financial services

Forecast market evolutions based on demand, supply and transport trends

Learn more


Target your customer to improve loyalty & upsell
Forecast your capacity to limit Capex and increase SLA.

Learn more


Machine learning

Automated Unsupervised Machine Learning artificial intelligence

Learn more

Big data & Open data

Leveraging your big data of the business, and learn from the open data of your industry

Learn more

Cloud services

Flexible IT deployment on the secured cloud or in private premises

Learn more

Try & benchmark Crystal

Try Now

Latest news & events

Nice article about how Predictive Layer reduces uncertainty about the future

December 2016

Predictive Layer selected by GE Digital for energy load forecasting

We are proud to be selected by GE for integrating our solution into the Predix solution.

Related article from Les Echos.

Stay tuned for other major announcements.

December 2016

Predictive Layer @ Congrès GAZELEC Paris 2016


Predictive Layer présente et déémontre ses solutions d'optimisations d'achats et de trading de l'énergie sur les marchés Gaz & Electricité européens.

Predictive Layer @ VIVA Technology Paris 2016

VIVA Technology brings the world's most innovative startups together with the major global players in digital transformation. This new international event introduces 5000 startups with top investors and companies to grow businesses and shape the future.

Predictive Layer will participate to the event, as one amongst the most innovative startups to watch. Join us on our booth to discover the power of our solutions.

For three days, starting 30 June, an expected 30000 entrepreneurs, corporate executives, venture capitalists and other investors will join in a purpose-build environment in Paris.
. The goal: to provide a real-time platform for collaboration and a high-level stage for discussions around the impact technology has on both businesses and society.

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