Evidence tier Source Confirmed · 4 captures on record
What the publisher says
As described on AWS Marketplace.
## Problem Statement
With AI based facial recognition systems and solutions, the need for inclusive and unbiased recognition is crucial. However, there is an inherent bias in the training datasets today, specifically when it comes to human faces. Whether you use facial recognition for workplace safety or for a social media filter, it is important that the AI models are not biased towards a particular socio-demographic group. Low training and testing data availability for minority groups often end up with models which are biased against socio-demographic groups. Are you looking for consulting help or a solution around this?
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## Our solution: Ethical AI
We have combined Amazon Bedrock’s Titan Text G1 along with Stable Diffusion model to create unbiased training datasets for facial recognition solutions. We provide API end-points or end-to-end dataset generation and training MLOps pipeline based on your needs.
Specifically, the services include:
- Business case to data set mapping consulting
- Creating unbiased training datasets for your AI business case
- API end-points for datasets for your ML training
- (If needed) MLOps as a service, where we setup a complete MLOps pipeline on AWS, train and retrain your models as per your needs
## Cost
The cost depends on the inclusions of services and volume of datasets you require. We also work closely with AWS to identify potential discounts and funding for your projects. Please reach out to us with your requirements and we will help you with the exact costs and timeline for your project.
## Get Started with Ethical AI
To get started with Ethical AI, submit a request now (Click 'Continue' on top right of the page). Our team will get in touch with you to schedule a free intro session with us and evaluate your request. For any further questions, don’t hesitate to reach out at cloudengagement@ankercloud.com
## Transparent Agents for Finance and Legal
Deploy AI agents that don’t just make decisions—but explain them. Ideal for compliance-heavy workflows where traceability matters.
## Bias Check for Hiring Processes
Use AI agents to spot and flag potential biases in job descriptions, candidate screening, or interview recommendations before they go live.
## Guardrails for Safe Agent Usage
Ensure every AI agent you deploy follows strict access controls, role-based permissions, and safe-response filters—designed with responsibility in mind.
## Privacy-First AI Agents
Design and validate AI agents that prioritize user consent, avoid sensitive data misuse, and adhere to ethical guidelines in real-world applications.
## Why us?
Ankercloud is an AWS Advanced Partner with 80+ AWS Professional Certifications and 10+ AWS designations (competencies and delivery programs) with an extensive experience in driving business and digital transformation through Cloud and Cloud-enabled solutions. Bring us the next challenge!
https://ankercloud.com/
Highlights
Highlighted by the publisher on AWS Marketplace.
Democratize the new-age facial recognition solutions and position yourself as a non-discriminatory AI user
Benefit from a plug and play model with low manpower and quick performance
End-to-end integration and model update cycle of 4-6 weeks
Agent build and provenance
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