ABOUT US
Niru ML is a pioneering artificial intelligence research and solutions company built on the foundation of our revolutionary Automated Machine Learning Operations (AMLO) framework. We specialize in developing compute-efficient, highly modular machine learning systems that enable rapid experimentation and performance optimization. Our framework represents a fundamental shift in how ML systems are designed, tested, and deployed, with a focus on automation, rigorous validation, and architectural flexibility.
ABOUT THE FOUNDER
I'm Brendon Reperttang, an MIT Computer Science and Engineering (6-3) graduate, class of 2024. During my time at MIT, I developed a passion for agentic ML, multi-agent systems, and AI automation frameworks, working on several research projects that explored the boundaries of neural architecture search and automated model development. What drives me is the belief that a true breakthrough in AI won't come from simply scaling existing architectures, but from a multi-faceted approach, systematically exploring the design space of models through principled experimentation, as well as pushing the boundaries of our training and evaluation techniques.
VISION
Instead of time-consuming manual experimentation, ML practitioners will define high-level objectives and constraints, allowing intelligent systems to explore the vast design space of possible solutions. This approach will not only speed up research but also lead to the discovery of novel architectures that human intuition might miss.
Our roadmap includes:
- Expanding the AMLO component registry to cover the full spectrum of ML building blocks
- Developing increasingly sophisticated model evaluation protocols that capture both performance and efficiency
- Creating an AI-guided experimentation system that can reason about architecture design and suggest improvements
- Building a collaborative platform where researchers can share components and architectures to further unlock new model and system designs
OUR MISSION
Niru ML exists to revolutionize AI development and deployment across four key markets: enterprise consultancy, specialized professional tools, consumer-facing agent services, and product integration.

Key focus areas:
- Pioneer Automated Innovation: We're building a comprehensive framework that reduces time from concept to implementation through our four-phase development approach: from modular base models to efficient agentic systems.
- Deliver Transformative Efficiency: We create scalable AI systems that achieve superior results with optimized computational resources through our robust pipeline and hyperparameter tuning capabilities.
- Establish New Standards for Rigor: We embed validation and verification at every level of the ML development lifecycle.
- Enable Seamless Integration: We're developing frameworks that make sophisticated AI capabilities accessible to professionals and consumers alike through our agent-as-a-service offerings.
Through our AMLO framework's evolutionary simulation capabilities and agentic automation extensions, we're building toward a future where AI systems are not just tools but partners in solving complex challenges across industries and applications. Our ultimate goal is to make powerful AI capabilities accessible to everyone - from enterprise clients to individual professionals to the general population.
Brendon Reperttang
Founder, Niru ML