Iron Horse is the secure agentic platform, enabling on-prem and air-gapped agents for the first time
Iron Horse’s Gamma Velorum V5a is one of the most powerful multilingual large language models extant, recently scoring #1 in the world in key double-blind government language benchmarks. By building our own models, Iron Horse is able to deploy securely where other agents cannot.
Our unique training pipeline allows Gamma Velorum and its siblings to excel at tasks less suitable for other models, including certain languages, and token and graph-based languages of chemistry, physics, and biology. Gamma Velorum’s unique fluency powers our highly scalable agent platform.
This international patent-pending platform seamlessly switches between and even mixes digital and physical/robotics tasks with a proprietary continuous learning system, multi-agent coordination, automatic error correction, and deep domain specialization.
At the forefront of self-reflection innovation, our agents rapidly self-develop cutting-edge agentic solutions, ensuring unparalleled efficacy protected by quantum-safe security.
A.I. Efficiency leads to Next-level scalability and performance
While some A.I. builders fixate on ever-hungrier hardware deployments, Iron Horse A.I. has been focusing on efficiency and efficacy. Thanks to our scalable LLM architecture, a more efficient system can easily transform into a class-leading system when hardware permits. Inefficient LLMs from other developers, in the meantime, remain inefficient and struggle to maintain performance as they scale smaller.
This has been our strategy since day one, before efficiency became an A.I. buzzword.
For some calculations in chemistry and vector computations, universal NISQ devices combined with generative A.I. are providing a glimpse into a new future where massive, virtually unsolvable computations are suddenly within reach. This is an active area of development in our quest for the highest efficiency and performance possible.