Surromind provides an AI software platform that streamlines the development, fine‑tuning, and operation of multimodal and large language models, offering a library of 300+ production‑ready models and secure LLM engineering tools. Integrated MLOps enables versioning, monitoring, and deployment to cloud or edge devices, including hardware‑constrained robots, while its embodied AI interface lets robots be controlled via natural language. The platform reduces engineering overhead and operational costs for enterprises and robotics developers seeking scalable, secure AI solutions.
Funding
Funding not disclosed
Founders
Product
Problem
Enterprises and robotics developers often lack an integrated, user-friendly platform to develop, fine‑tune, and operate multimodal AI models (vision, audio, language) and large language models (LLMs) at scale, leading to high engineering overhead, security concerns, and difficulty deploying AI on edge hardware.
Solution
Surromind offers a comprehensive AI software platform that streamlines the entire lifecycle of multimodal and LLM-based AI projects. The platform provides pre‑built, production‑ready models for vision‑language tasks, as well as tools to fine‑tune foundation models (GPT, Bard, LLaMA) on proprietary data while ensuring data security. Integrated MLOps capabilities enable rapid model development, versioning, monitoring, and deployment to both cloud and edge environments, including resource‑constrained robots. For robotics applications, Surromind optimizes AI models to match hardware specifications and supplies robot‑specific MLOps for continuous updates and embodied AI control via natural language interfaces. This end‑to‑end solution reduces development time, lowers operational costs, and makes advanced AI accessible to non‑expert users.
Target Audience
Primary customers are enterprise AI teams, robotics manufacturers, and product developers who need scalable, secure AI model development and deployment across cloud and edge devices.
Features
- Library of 300+ multimodal AI models covering vision, sound, and language processing, optimized for server and edge deployment
- LLM engineering suite for secure fine‑tuning of foundation models (GPT, Bard, LLaMA) on customer data, delivering customized AI chatbots
- Full MLOps pipeline for model training, version control, performance monitoring, and automated scaling in cloud or on‑device environments
- Robot‑specific AI optimization that tailors model size and inference speed to hardware constraints, plus continuous robot MLOps for OTA updates
- Embodied AI interface allowing robots to be commanded through natural language, bridging the gap between programming and human interaction
- User‑friendly AI automation platform that enables non‑technical stakeholders to build and deploy AI solutions without deep expertise