silo-ai

Enterprise-grade AI agent platform automating sales, customer service, HR, and other business processes

Defense Situational Awareness Platform integrating multi-domain sensor data for threat detection and tracking

Sales automation platform that handles appointments, customer follow-ups, and syncs calendars with CRM systems.

Prompt engineering tool that transforms simple ideas into structured instructions and generates diverse prompt types

Enterprise agent deployment platform supporting autonomous decision-making and multi-task automation.

A machine learning development platform that supports building and deploying multiple models.

Inferless is a cutting-edge serverless GPU inference platform designed to simplify and optimize the deployment of machine learning models. Developers can deploy models with near-zero configuration from various sources such as Hugging Face, Git, and Docker, scaling elastically to hundreds of GPUs on demand. The platform maximizes GPU utilization through infrastructure-aware load balancing and dynamic batching, reducing cold start latency to seconds, while providing automated CI/CD pipelines. With securely isolated environments and customizable runtimes, it supports diverse AI workloads including LLM-powered chatbots, computer vision, audio generation, and more, making it an ideal choice for large-scale, production-grade ML inference.

Google DeepMind is an artificial intelligence research laboratory under Alphabet Inc. (the parent company of Google), founded in 2010 and headquartered in London. It focuses on developing advanced AI systems capable of autonomous learning and adaptation, achieving breakthroughs ranging from game-playing AIs like AlphaGo to applications in healthcare, energy efficiency, and scientific discovery. By combining machine learning, reinforcement learning, and neuroscience-inspired approaches, DeepMind builds versatile AI models that push the boundaries of artificial intelligence.

Groq is a company focused on AI acceleration, delivering exceptional AI inference speed and efficiency through its proprietary Language Processing Unit (LPU) ASIC and software platforms such as GroqCloud and GroqRack. Groq enables seamless, low-latency deployment and execution of AI models for developers and enterprises, supporting a wide range of public models including Llama and Whisper. The architecture is designed to maximize throughput and minimize latency, making it ideal for real-time AI applications in industries such as technology, healthcare, finance, and automotive. The Groq platform is developer-friendly, offering OpenAI-compatible APIs and a streamlined migration process to help users efficiently scale AI workloads and reduce operational costs.

AITECH.io, developed by Solidus Ai Tech, is an advanced platform that integrates high-performance computing (HPC) infrastructure, an AI solutions marketplace, and blockchain technology. It offers scalable, on-demand GPU resources and a multi-tiered AI marketplace designed to streamline AI deployment for developers and organizations. The platform is powered by the AITECH token, a deflationary cryptocurrency used to access services, stake, and participate in governance within the decentralized ecosystem. Based in Europe, AITECH.io focuses on energy-efficient HPC data centers, supporting AI applications across industries such as healthcare, finance, supply chain, and the metaverse.

Turnkey is a modular key management platform designed to simplify wallet creation, transaction signing, and on-chain automation. It provides developers with flexible APIs and open-source SDKs to build embedded wallets, automate complex cryptocurrency transactions, and enforce granular security policies. Founded by the team behind Coinbase Custody, Turnkey emphasizes cryptographic security by leveraging trusted hardware enclaves to ensure private keys remain protected and never exposed. Its infrastructure supports various authentication methods and account abstraction, enabling seamless onboarding and user-friendly wallet experiences across multiple blockchain networks.

Dagger is an open-source platform designed to build and run composable workflows by transforming code into containerized operations. It excels in environments requiring high reproducibility, modularity, and observability, making it particularly well-suited for complex systems such as AI agents and CI/CD pipelines. Dagger supports multiple programming languages and seamlessly integrates with any compute platform, enabling developers to build reproducible, scalable workflows with built-in caching, tracing, and real-time debugging capabilities.