Anicca builds and operates
data science modules for wide ranging commercial domains
The modeled AI and Deep Learning solutions address numerous business needs
at many stages of their journey

Staging

The intermediatory stage of production databases and in-house data warehouse requires both aggregated and semi-aggregated data staging. A sequential run of spark codes populates a staging data lake to facilitate data ingestion into analytical data warehouse. The production data in question, is cleansed and manipulated in accordance with the project needs.

Transform

The process of data transformation (integration, migration, warehousing, and wrangling) for changing the structure, format, or values of data is conducted through in-house ETL processes and using cloud-based data warehouses with scalable compute having least latency. A strong team of data analysts, data engineers, and data scientists are dedicated in transforming data using python, Scala and spark.

Analysis

The four stages of data analytics – Descriptive, Diagnostic, Predictive, and Prescriptive analytics are applied to answer data related questions. The objective of facilitating business decisions through insightful analytics is the motto of Anicca. Data driven decision making in tandem with the business knowledge provides the key to successful business.

Modelling

Anicca’s core competency is inherent in deep diving into the data, identifying the critical features, making the measurements, and exploring the data science methodologies to apply. Applying the right methodologies, evaluating, and deploying the code with operational efficiency and business effectiveness is our forte.

Dashboarding

A powerful way to communicate the data science results over a dashboard is a challenge to reckon with. Anicca has built in-house react.js, Node.js, and Angular dashboards supported with Microservices for fast rendering and visualizing multi-dimensional data insights. The dashboarding needs are kept in mind, starting from the build of the index tables in the analytic databases.

Operational Artificial Intelligence

Anicca’s modules are designed to implement AI applications at enterprise scale. Six dimensions of operational AI characteristics are diligently embedded into our products. Deliverance and maintenance of our automated engineering and science capabilities address the complexities of modern data-driven systems

Capability to scale with train & unseen data
Ability to understand “black box” models
Feedback learning with human intervention
Ease of accessing the complex information
Full protection of data, models & meta information
A light weight application with maximum abstraction

Anicca’s modules are designed to implement AI applications at enterprise scale. Six dimensions of operational AI characteristics are diligently embedded into our products. Deliverance and maintenance of our automated engineering and science capabilities address the complexities of modern data-driven systems

Capability to scale with train & unseen data
Ability to understand “black box” models
Feedback learning with human intervention
Ease of accessing the complex information
Full protection of data, models & meta information
A light weight application with maximum abstraction

Applications and Data Integration

Anicca's applications seamlessly integrate to both in-house and cloud data infrastructure

Plug into any model framework

Ingest from any data source

Your team has done a great job of setting up
the dashboard in a way that makes it easy to manipulate the data
in just about any way we’ll need to see it

Consumer & Business Insights Manager

Speed is awesome. It’s so fast…Excited to get this one out there! I want to subscribe my agencies and field teams to all the views

Digital Field Marketing Manager

Artificial General Intelligence Journey

Anicca Data addresses your data driven decision making needs using Deep Learning, Machine Learning, and Optimization Techniques.
Our science and engineering experts are eager to speak to you.