Our Responsible AI Principles

Enabling AI Governance with Responsibility

Overview

Today, about 90% of organizations battle ethical issues with AI usage. At Centillion Labs, we believe in delivering AI solutions that ensure safety, security, and social equity for all stakeholders. Learn how we conscientiously balance intent and impact in our value-driven Responsible AI approach.
Centillion Labs offers a sentient framework for building AI applications that addresses ethical concerns across the AI adoption process. We enable organizations to innovate, improve, and successfully deploy solutions while staying compliant with the key facets of Responsible AI.


What is Responsible AI?


The practice of building and deploying ethical and socially responsible AI solutions that generate positive impacts on society, through transparency, accountability, fairness, security, and respect for human rights.



Why do we need it?


By building AI solutions that uphold racial, communal, and individual integrity, we can ensure a safer environment for all.



How do we do it?


Our AI development process is built on eight fundamental facets of Responsible AI that enables us to develop human-centric and ethically accountable solutions.

Data Management

Your databases are under our care! This is an exhilarating time for database enthusiasts. From the established enterprise RDBMs like Microsoft SQL Server and Oracle to the vast array of Cloud offerings (such as CloudSQL, Aurora, BigTable, Cloud Spanner, and DynamoDB), as well as the dynamic open-source databases like Cassandra, Scylla, AeroSpike, and the innovative cloud-native databases like CockroachDB, Yugabyte, and Vitess — the options are vast and thrilling.
We specialize in aiding customers in making informed choices tailored to their specific needs. Our track record includes assisting numerous enterprises in migrating from SQL Server or Oracle to cost-saving open-source alternatives, often migrating to PostgreSQL. Additionally, we excel in performance tuning, crafting intricate replication setups, ensuring high availability, and schema design, particularly for databases like BigTable, Cloud Spanner, and DynamoDB.