Model Training & Development

Understand how technical teams are building, fine-tuning, and evaluating models across diverse environments. From small models to foundation-scale, this section highlights the strategies that actually work.

Trending Products

The most endorsed model training and development solutions on Sagetap, backed by real-world validation from enterprise teams.

Best-in-Class Evaluation Developer Experience: An intuitive, unified platform to easily build, monitor, and protect GenAI applications at any scale. Unmatched Accuracy in GenAI Measurement: Research-backed metrics and adaptive tools that evolve with your use case. Measure what matters— from Agents to RAG— out-of-the-box or customized to your needs. Built for Production Scale: Platform and infrastructure that are optimized to handle production workloads while keeping latency and cost to a minimum.

Promethium is on a mission to enable self-service data at AI scale. With the industry’s first agentic Open Data Fabric, Promethium allows enterprises to talk to all their distributed data and get trusted answers instantly. By empowering data teams to build and share contextual data answers, Promethium delivers immediate insight without data movement or complex pipelines. Recognized by Gartner as a Cool Vendor and backed by world-class investors and advisors, Promethium is redefining how businesses turn data into decisions.

Calypso AI focuses on securing enterprises that use AI and Machine Language, It helps to defend against adversarial machine learning attacks. CalypsoAI software is relied upon to give the ground truth of AI performance, reliability, and security.

Prompt Security

Recent Initiatives

Peer-driven model training and development projects in motion, with direct access to the Sage leading each initiative.

Last Modified: Dec 05 '25

Enterprise AI Integration & Optimization Initiative

Deploy enterprise-grade GenAI to reduce manual processes and optimize workflows Bridge disconnected data systems to enable seamless data access and analysis Rapidly prototype and scale AI solutions aligned with performance and compliance goals Shift from siloed digital tools to unified, intelligent business operations

Ghost Security

Jit

Ray Security

Unframe.ai

Information Technology and Services

Last Modified: Dec 04 '25

AI

We are actively evaluating solutions in this space, with a focus on governance, testing, and observability for LLM-driven initiatives. Ensuring compliance, security, and responsible deployment is a priority for us as adoption scales.

Openlayer

Oryo

Hospital & Health Care

Last Modified: Dec 05 '25

Knowledge Fabric

Develop a scalable AI and data infrastructure layer that transforms unstructured operational data (tickets, chats, documents) into structured knowledge to enable automation and contextual AI across the company.

Edra

Financial Services

Last Modified: Dec 05 '25

ISO/IEC 42001 AIMS Implementation on Google Cloud Platform

Improve the currently applied approach

The core objective of this project is to design and implement a robust, auditable Artificial Intelligence Management System (AIMS) architecture, fully compliant with the ISO/IEC 42001:2023 standard, specifically tailored for hosting and operating high-risk AI systems on the Google Cloud Platform (GCP). This goal will be achieved by leveraging the unified Vertex AI MLOps ecosystem, ensuring governance is automated and embedded into the continuous deployment pipeline. Key priorities include establishing a Data Mesh foundation for decentralized data ownership and centralized governance, and implementing the Google Secure AI Framework (SAIF) controls.

Thoropass

Kovrr - Cyber Risk Quantification Platform

Kovrr - Cyber Risk Quantification Platform

Telecommunications

Poll

What’s the most difficult part of model development?

Even with advanced tooling, training and evaluating models remains resource-intensive.

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