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Experts in Applied AI

We are a team of senior engineers and strategists dedicated to architecting and deploying AI solutions that solve real-world business problems.

Our Mission

Solving Complex Engineering Challenges with AI

Ananta Group was founded to bridge the gap between AI hype and business reality. Many organizations struggle to move beyond proofs-of-concept. Our mission is to deliver production-grade, scalable, and maintainable AI systems by applying rigorous software engineering principles to the entire machine learning lifecycle.

We believe in building solutions that are not only intelligent but also robust, auditable, and seamlessly integrated into our clients' core operations.

Team discussing strategy

Meet Our Lead Engineer

Our expertise is rooted in deep, hands-on experience.

Headshot of Divjyot Singh

Divjyot Singh (Divi)

Principal AI Engineer

Divjyot is a senior machine learning engineer with a proven track record of delivering high-impact AI solutions at top-tier firms like Bain & Company. He specializes in designing and deploying end-to-end Generative AI and MLOps solutions on AWS, GCP, and Azure. His expertise spans the full AI lifecycle, from fine-tuning LLMs to architecting robust data pipelines.

Our Approach

We believe in a methodology that is collaborative, transparent, and results-driven.

01

End-to-End Ownership

We manage the entire project lifecycle, from initial data analysis and strategic planning to model deployment, monitoring, and continuous improvement in production.

02

Agile & Iterative

Using Agile methodologies, we deliver value quickly and incorporate feedback through regular stakeholder check-ins and user testing sessions to ensure perfect alignment.

03

Business-Focused

Our primary goal is to solve your business challenges. We excel at translating client needs into technical specifications and aligning our engineering efforts with your strategic objectives.

04

Pragmatic Innovation

We leverage cutting-edge technologies and open-source models where they add value, but always prioritize building stable, scalable, and cost-effective solutions for the long term.