Featured in
Date
11th April 2025
We’re excited to announce that SG Analytics has been featured for the second year in a row in AIM Research’s highly regarded MLOps Penetration and Maturity (PeMa) Quadrant 2025; and this time, we’ve advanced from the Challenger quadrant to the coveted Seasoned Vendor category.
This upward move is a testament to our accelerated capabilities, growing enterprise trust, and our commitment to delivering scalable, production-ready MLOps solutions that meet the demands of modern AI-driven businesses.
As the MLOps landscape continues to evolve with increasing focus on governance, automation, and end-to-end model management; SG Analytics is proud to be at the forefront, enabling organizations to turn AI ambitions into real-world impact.
From Challenger to Seasoned — SG Analytics is climbing the MLOps maturity curve.
Our recognition in this report reflects:
Proven success in managing AI/ML pipelines at scale
Deep expertise in AI governance, automation, and cloud-native deployment
Client-first approach to delivering tailored MLOps frameworks
Get in touch to see how SG Analytics can help operationalize machine learning and drive business outcomes.
Featured in
Date
11th April 2025
We’re excited to announce that SG Analytics has been featured for the second year in a row in AIM Research’s highly regarded MLOps Penetration and Maturity (PeMa) Quadrant 2025; and this time, we’ve advanced from the Challenger quadrant to the coveted Seasoned Vendor category.
This upward move is a testament to our accelerated capabilities, growing enterprise trust, and our commitment to delivering scalable, production-ready MLOps solutions that meet the demands of modern AI-driven businesses.
As the MLOps landscape continues to evolve with increasing focus on governance, automation, and end-to-end model management; SG Analytics is proud to be at the forefront, enabling organizations to turn AI ambitions into real-world impact.
From Challenger to Seasoned — SG Analytics is climbing the MLOps maturity curve.
Our recognition in this report reflects:
Proven success in managing AI/ML pipelines at scale
Deep expertise in AI governance, automation, and cloud-native deployment
Client-first approach to delivering tailored MLOps frameworks
Get in touch to see how SG Analytics can help operationalize machine learning and drive business outcomes.
