H2o AI

0

0

12

0

0 Save

0 Upvote

H2O.ai is an advanced AI and machine learning platform that enables organizations to build, deploy, and scale AI models with ease. With a focus on automated machine learning (AutoML), explainable AI, and responsible AI practices, H2O.ai empowers data scientists, analysts, and businesses to extract insights, make predictions, and drive value from data at enterprise scale.

Radal AI

0

0

5

0

0 Save

0 Upvote

Radal AI is a no-code platform designed to simplify the training and deployment of small language models (SLMs) without requiring engineering or MLOps expertise. With an intuitive visual interface, you can drag your data, interact with an AI copilot, and train models with a single click. Trained models can be exported in quantized form for edge or local deployment, and seamlessly pushed to Hugging Face for easy sharing and versioning. Radal enables rapid iteration on custom models—making AI accessible to startups, researchers, and teams building domain-specific intelligence.

Mirai

0

0

6

0

0 Save

0 Upvote

TryMirai is an on-device AI infrastructure platform that enables developers to integrate high-performance AI models directly into their apps with minimal latency, full data privacy, and no inference costs. The platform includes an optimized library of models (ranging in parameter sizes such as 0.3B, 0.5B, 1B, 3B, and 7B) to match different business goals, ensuring both efficiency and adaptability. It offers a smart routing engine to balance performance, privacy, and cost, and tools like SDKs for Apple platforms (with upcoming support for Android) to simplify integration. Users can deploy AI capabilities—such as summarization, classification, general chat, and custom use cases—without relying on cloud offloading, which reduces dependencies on network connectivity and protects user data.

SiliconFlow

0

0

74

1

0 Save

0 Upvote

SiliconFlow is an AI infrastructure platform built for developers and enterprises who want to deploy, run, and fine-tune large language models (LLMs) and multimodal models efficiently. It offers a unified stack for inference, model hosting, and acceleration so that you don’t have to manage all the infrastructure yourself. The platform supports many open source and commercial models, high throughput, low latency, autoscaling and flexible deployment (serverless, reserved GPUs, private cloud). It also emphasizes cost-effectiveness, data security, and feature-rich tooling such as APIs compatible with OpenAI style, fine-tuning, monitoring, and scalability.

Vertesia HQ

0

0

5

0

0 Save

0 Upvote

Vertesia is an enterprise generative AI platform built to help organizations design, deploy, and operate AI applications and agents at scale using a low-code approach. Its unified system offers multi-model support, trust/security controls, and components like Agentic RAG, autonomous agent builders, and document processing tools, all packaged in a way that lets teams move from prototype to production rapidly.

Developer Toolkit

0

0

10

1

0 Save

0 Upvote

DeveloperToolkit.ai is an advanced AI-assisted development platform designed to help developers build production-grade, scalable, and maintainable software. It leverages powerful models like Claude Code and Cursor to generate production-ready code that’s secure, tested, and optimized for real-world deployment. Unlike tools that stop at quick prototypes, DeveloperToolkit.ai focuses on long-term code quality, maintainability, and best practices. Whether writing API endpoints, components, or full-fledged systems, it accelerates the entire development process while ensuring cleaner architectures and stable results fit for teams that ship with confidence.

Refold AI

0

0

11

1

0 Save

0 Upvote

Refold AI is an AI-native integration platform designed to automate enterprise software integrations by deploying intelligent AI agents that handle complex workflows and legacy systems like SAP, Oracle Fusion, and Workday Finance. These AI agents are capable of building and maintaining integrations autonomously by navigating custom logic, dealing with brittle APIs, managing authentication, and adapting in real-time to changing systems without manual intervention. Refold AI reduces integration deployment times by up to 70%, enabling product and engineering teams to focus on innovation rather than routine integration tasks. The platform supports seamless integration lifecycle automation, full audit logging, CI/CD pipeline integration, version control, error handling, and provides a white-labeled marketplace for user-centric integration management.

Nexos AI

0

0

10

1

0 Save

0 Upvote

Nexos.ai is a unified AI orchestration platform designed to centralize, secure, and streamline the management of multiple large language models (LLMs) and AI services for businesses and enterprises. The platform provides a single workspace where teams and organizations can connect, manage, and run over 200+ AI models—including those from OpenAI, Google, Anthropic, Meta, and more—through a single interface and API. Nexos.ai includes robust enterprise-grade features for security, compliance, smart routing, and cost optimization. It offers model output comparison, collaborative project spaces, observability tools for monitoring, and guardrails for responsible AI usage. With an AI Gateway and Workspace, tech leaders can govern AI usage, minimize fragmentation, enable rapid experimentation, and scale AI adoption across teams efficiently.

Mobisoft Infotech

0

0

5

1

0 Save

0 Upvote

MI Team AI is a robust multi-LLM platform designed for enterprises seeking secure, scalable, and cost-effective AI access. It consolidates multiple AI models such as ChatGPT, Claude, Gemini, and various open-source large language models into a single platform, enabling users to switch seamlessly without juggling different tools. The platform supports deployment on private cloud or on-premises infrastructure to ensure complete data privacy and compliance. MI Team AI provides a unified workspace with role-based access controls, single sign-on (SSO), and comprehensive chat logs for transparency and auditability. It offers fixed licensing fees allowing unlimited team access under the company’s brand, making it ideal for organizations needing full control over AI usage.

Truefoundry

0

0

11

1

0 Save

0 Upvote

TrueFoundry is an enterprise-ready AI gateway and agentic AI deployment platform designed to securely govern, deploy, scale, and trace advanced AI workflows and models. It supports hosting any large language model (LLM), embedding model, or custom AI models optimized for speed and scale on-premises, in virtual private clouds (VPC), hybrid, or public cloud environments. TrueFoundry offers comprehensive AI orchestration with features like tool and API registry, prompt lifecycle management, and role-based access controls to ensure compliance, security, and governance at scale. It enables organizations to automate multi-step reasoning, manage AI agents and workflows, and monitor infrastructure resources such as GPU utilization with observability tools and real-time policy enforcement.

Prompts AI

0

0

10

1

0 Save

0 Upvote

Prompts.ai is an enterprise-grade AI platform designed to streamline, optimize, and govern generative AI workflows and prompt engineering across organizations. It centralizes access to over 35 large language models (LLMs) and AI tools, allowing teams to automate repetitive workflows, reduce costs, and boost productivity by up to 10 times. The platform emphasizes data security and compliance with standards such as SOC 2 Type II, HIPAA, and GDPR. It supports enterprises in building custom AI workflows, ensuring full visibility, auditability, and governance of AI interactions. Additionally, Prompts.ai fosters collaboration by providing a shared library of expert-built prompts and workflows, enabling businesses to scale AI adoption efficiently and securely.

Tinker

0

0

6

1

0 Save

0 Upvote

Tinker is a specialized training API designed for researchers to efficiently control every aspect of model training and fine-tuning while offloading the infrastructure management. It allows seamless experimentation with large language models by abstracting hardware complexities. Tinker supports key functionalities such as performing forward and backward passes, optimizing weights, generating token samples, and saving training progress. Built with LoRA technology, it enables fine-tuning through small add-ons rather than modifying original model weights. This makes Tinker an ideal platform for researchers focusing on datasets, algorithms, and reinforcement learning without infrastructure hassles.