How the Platform Works

Cognitive Technology does not have to be complex or expensive! AI systems rely on vast amounts of data that are a complex mix of cloud storage, file systems and traditional databases. Our Data Fabric is purpose-built for Machine Learning and Data Science, allowing users to develop AI powered applications faster at a fraction of the cost. Spend less time on infrastructure and more time on exploration and analysis.

Our platform is ideal for small teams with Big Ideas. Powerful Real-Time Analysis tools let you seamlessly blend traditional BI and Stream Processing techniques with Cognitive AI, turning Insights into Actions and Decisions.

Data Fabric for AI + Machine Learning

Data is at the heart of the machine learning race. It lives in files, databases, cloud and web apps as a constantly changing stream of information that can be analyzed and turned into Knowledge and Insight.

Get things done faster with a powerful multi-model data store, purpose built for AI and Machine Learning. Application Dataspaces™ let you store massive amounts of data as tables, data frames, documents, key-value, queues or columnar store. In-memory computing and data compression make it ideal for Data Science and Probabilistic Analysis.

Real-Time Insights

Use Reactive Programming to turn anything into a Data Stream. Triggers, Actors and Event Collections make it easy to build data pipelines and work with high-velocity data using simple SQL-like syntax.

Capture changes from File Storage, Database or IoT devices and transform them into meaningful events that power Cognitive AI applications for real-time decision making.

Powerful Query Engine

If you can describe it, we can query it. Know SQL and Javascript? Then you already know how to use the platform. Whatever the format, a powerful query language lets you work with structured or unstructured data, speeding up development and simplifying deployment for unmatched data agility.

A rich Data Virtualization layer links file systems, Web servers, relational databases, No-SQL and Big Data storage; allowing them to be queried and joined to any other data. Virtual collections let you integrate data from any source and easily load it into memory for fast processing and analysis.

Built-In Operational Automation

We know you're busy. The data fabric is purpose-built to reduce the burden on support teams. Cognitive Technology features for AI Ops let you automate administrative tasks and engage teams globally to solve problems, reduce down time and accelerate problem resolution.

Collect and store critical metrics to monitor operations in real-time. Define Triggers and Task Lists, that react to KPI changes, application data, CPU, memory usage, and resource availability. Log and machine data can be automatically classified, analyzed for context or relevance and easily integrated into Call Center applications to automate support decisions.

Cognitive AI Services

StreamScape's cognitive technology platform uses Natural Language Processing and Classification to recognize meaning and discover context by analyzing language and sentence structure. Microflows and Data Integration features make it easy to import text and automate model training.

Thematic Analysis services let users easily collect and analyze text, document, image or audio data to identify concepts and entities, classify opinions, or experiences and gain deeper insight into problems. This type of analysis is considered interpretative, because results depend on domain specific knowledge, concepts and terminologies. Cognitive AI services improve model accuracy with Data Dictionaries, Synonyms and Weighted Features accelerating the machine learning process.

Universal Access + Security

Enterprise grade, integrated security keeps your data safe. Entity or column-level Authorization, Group, Organization and API security protects critical information against unwanted access and data co-mingling.

Expose functions, queries and AI services as fully documented API, powered by the industry's leading Open API framework. Develop Real-Time, AI powered applications that integrate documents, web or application data from any source.

Connect to the platform using any language, Web application, OData compliant systems, XMPP or JDBC clients, Microsoft Office products, Reporting and Data Visualization tools.