AI-ENABLED ETL FOR
THE CLOUD ERA
We Automate AI
+ AI-Enabled ETL for the Cloud Era
+ Unstructured Data Prep and Digital Process Automation
+ Multi-Cloud AI Orchestration
Automated Workflows that Enrich Data via Cloud AI Services
AI as a Service means your organization can focus on data ROI, as opposed to spending a lot of time, resources and money on orchestrating software engineering tasks needed to execute and consume the multi-cloud AI services.
Unstructured Data ETL and Preparation for Digital Process Automation (DPA)
NNCompass was designed to incorporate multiple DPA and enrichment approaches to ensure automation success. Using a combination of internal machine learning where the user trains the system to perform extraction on a per-document set basis, alongside cloud AI services like AWS Textract and Azure Form Recognizer, we typically see 95%+ accuracy results when extracting structure from unstructured forms and documents.
FOR THE MASSES
No-Code Machine Learning
Democratize AI/ML to Everyone in the Enterprise Business Chain
Harness the Power of Multi-Cloud AI
Upload & Connect to Data, Initiate AI Workflows, Experiment Quickly
AWS Sagemaker & Rekognition
AWS Comprehend & Comprehend Medical
Google AutoML Vision & Natural Language
Azure NLP AI
AI-Enabled ETL and Digital Process Automation
NNCompass is a single-pane-of-glass ETL, digital process automation, and data prep platform for both structured and unstructured data. NNCompass transforms unstructured data into highly structured, AI/ML-ready data through application of machine learning and document understanding techniques.
Unstructured data can be integrated with structured data where it is represented in our Unified Data Fomat (UDF), which enables export and streaming to over 200+ databases, file formats and simple storage arrays. NNCompass Government implements custom processing, parsing and streaming code to handle some of the most difficult government message types, data formats and security tagging environments, and acts as the mesh between your data sources (onprem or cloud) and multi-cloud AI services.
Unstructured Data Prep and ETL
Digital Process Automation
At its core, NNCompass is AI-enabled ETL and Digital Process Automation (DPA) software focused on automating the application of structure to unstructured data (like PDF forms, health records, emails and government message types) and integrating that with structured data.
NNCompass was designed to incorporate multiple DPA and enrichment approaches to ensure automation success. Using a combination of internal machine learning where the user trains the system to perform extraction on a per-document basis, alongside cloud AI services like AWS Textract and Azure Form Recognizer typically result in 95%+ accuracy when extracting structure from unstructured forms and documents.
Harness the power of multi-cloud AI
NNCompass acts as the bridge between data sources (onprem or cloud) and multi-cloud AI/ML services, like AWS Comprehend and Comprehend Medical. We automate the utilization of these offerings so you don’t have to write any code to access these AI services, and get immediate feedback on how well each service is enriching the data.
The output of this process is to create AI/ML-ready data through the use of DPA techniques.
& Data Workflows
Manage the ingest of streaming or static data from a variety of sources. Structured, Unstructured or Semi-structured.
Automate human-intensive data tasks to apply structure to unstructured data like PDF forms, health records, word documents and emails.
& Data Prep
The absolute truth is data can be a huge mess. We have easy-to-use tools to clean it up without ever changing source data.
Built into your workflows
We orchestrate AI services so you can automatically enrich your data.
Machine Learning Data Dictionary
It needs to be easy to marry, merge, and integrate data to get the most value out of your data lake.
We’ll help normalize things that are similar across your entire data lake, and automatically identify outliers.
EXPORT TO BI TOOLS
Because not all BI tools are created equally. Our exporter was designed to work with an array of BI and visualization tools.
To Unstructured Data
NNCompass was specifically designed to ingest unstructured documents and allow the user to extract value to increase ROI
FOR ALL USERS
Non-Technical & Technical
Our easy-to-use interface was designed with the subject matter expert or business analyst in mind.
SMART DATA WORKBENCH
Apply the power of machine learning quickly, and easily
The Smart Data / Machine Learning Workbench lets any user take advantage of ML algorithms, such as clustering, correlation & classification
Install on your local network
NNCompass Enterprise can be deployed into your on-site environment, with installation support from NNData included.
Connect your users
NNCompass Enterprise is configured to work with your adopted user security model
Learn More About NNCompass
NNCompass Main Features
Easily Connect to and Ingest Data of All Types
NNCompass allows you to upload a variety of flat file types and connect to SQL databases to quickly ingest data. We run analytics and profilers across all the data at time of ingest to give you recommendations on how to integrate the data, and understand the data at a low level.
Transform, Wrangle, Cleanse & Normalize Your Data
Once you've uploaded or connected to a data source, NNCompass gives you the ability to transform the data, live and in-memory. We don't copy data from one location to another. You can perform dozens of transform operations on that data, view the profiling analytics, understand the in-memory schema (Data Dictionary) and see which fields might be similar across your data, and export or stream directly from the Data Source page.
Data Groups & Data Integration
Data can come from all over the place -- internal data sets, 3rd party contractors, Data-as-a-Service providers. We wanted an easy way to bring all these data sources together seamlessly based on concepts ideated by you, without having to write parser code or be the subject matter expert. NNCompass runs a machine learning algorithm across all the data sources to find similar and exact data fields, and recommends how you could integrate multiple data sets into one master set.