Products

Aquin is an innovative platform designed to empower users to create and manage their own large language models (LLMs) with ease, speed, and cost-effectiveness, all while ensuring complete privacy and security. By integrating seamlessly into daily workflows, Aquin enables individuals and businesses to develop top-tier AI models tailored to their specific needs without requiring extensive machine learning expertise. Key Features and Functionality: - Proactive Floating AI Assistant: Aquin offers

LLM Price Check is a comprehensive tool designed to assist users in comparing and calculating the latest pricing for Large Language Model (LLM) APIs from leading providers such as OpenAI GPT-4, Anthropic Claude, Google Gemini, Meta Llama 3, and more. The platform aims to streamline the process of optimizing AI budgets by providing a clear overview of input and output token costs, context window sizes, quality scores, and knowledge dates for various models. It includes a detailed price comparison

JsonGPT is an API designed to streamline the generation of AI-driven JSON data, enabling developers to integrate structured AI outputs into their projects swiftly and efficiently. By acting as a bridge between applications and various large language models (LLMs) such as OpenAI, Google Gemini, Meta Llama, Azure OpenAI, Groq, and Anthropic Claude, JsonGPT simplifies the process of obtaining and managing AI-generated JSON data. Key Features and Functionality: - Simple JSON API: Generate structur

MLC LLM is a machine learning compiler and high-performance deployment engine designed for large language models (LLMs). Its mission is to empower users to develop, optimize, and deploy AI models natively across various platforms, including web browsers, iOS, Android, and more. By leveraging MLCEngine—a unified inference engine—MLC LLM ensures efficient and seamless execution of LLMs, providing OpenAI-compatible APIs accessible through REST servers, Python, JavaScript, iOS, and Android interface

Nucleus AI offers a comprehensive solution for enterprises seeking to integrate Large Language Models (LLMs) into their applications. By providing a unified API, Nucleus AI enables seamless connectivity to various LLM providers, including GPT-4, Claude 3, and Llama 3, without necessitating changes to existing application code. Key Features and Functionality: - Unified API: Facilitates effortless switching between different LLMs through a standardized interface. - Policy & Security: Impleme

Sample Healthcare offers an AI-powered platform designed to revolutionize document workflows within the healthcare industry. By leveraging advanced large language models (LLMs), Sample enables clinical and operational teams to extract, classify, and analyze medical records and clinical documents with unprecedented speed and accuracy. This technology empowers healthcare professionals to work up to ten times faster, significantly enhancing efficiency and patient care. Key Features and Functionali

Yavy is an AI knowledge platform that transforms any website into an AI-searchable knowledge base, ensuring AI assistants provide accurate, up-to-date answers grounded in real content. By indexing your documentation, Yavy eliminates AI hallucinations and stale context, enhancing the reliability of AI-generated responses. Key Features and Functionality: - Semantic Search: Embeds your content to enable AI agents to find concepts based on meaning, not just keywords. - Structured Context: Returns

Naboo is the enterprise context layer for AI agents. It connects to your R&D stack — GitHub, GitLab, Jira, Linear, Confluence, Notion, Slack, Datadog, Splunk — and continuously builds a living understanding of code dependencies, ownership, decision trails, and architectural patterns. At query time, Naboo calculates intent based on the task, system state, user permissions, and history, then feeds execution-ready context to any LLM or agentic framework. Unlike RAG, which retrieves document chu

Thalium is a Brain-as-a-Service platform that gives applications persistent memory, structured reasoning, and governance via a single API call.Most AI-powered applications are stateless — every call starts from scratch, with no memory of prior decisions, no domain context, and no audit trail. Thalium changes this by wrapping large language model compute in a full cognitive chain: intent classification, memory retrieval, confidence-gated reasoning, and an immutable audit log — all triggered by on

Memori is a differentiated agent-native memory platform because it is not just a conversational memory wrapper or vector retrieval layer; it structures memory from both conversation and agent execution, turning tool calls, decisions, and workflow traces into persistent state for production systems. Memori’s public benchmark materials report 81.95% accuracy on LoCoMo while using only 1,294 tokens per query, roughly 5% of full-context cost, and its open-source project has grown to more than 13.6K

Cencurity is an enterprise-grade security gateway designed to safeguard Large Language Model (LLM) agents by preventing prompt leakage and unauthorized access. It seamlessly integrates with existing AI agents and Integrated Development Environments (IDEs) without requiring code modifications, ensuring consistent behavior across various models, tools, and environments. Key Features and Functionality: - Centralized Security Dashboard: Provides a unified interface to monitor every agent call in r

Mohi is an advanced platform designed to enhance the performance and reliability of AI agents through comprehensive monitoring and optimization. By providing deep insights into agent behavior, real-time performance metrics, and AI-powered prompt tuning, Mohi ensures that AI agents operate efficiently and effectively at scale. Key Features and Functionality: - Comprehensive SDK: A framework-agnostic SDK that captures every execution detail from AI agents, including nested function calls, argume

Kiwop's LLMOps service is designed to transition machine learning (ML) projects from experimental stages to full-scale production, ensuring that AI models operate efficiently and reliably in real-world environments. By implementing robust infrastructure and engineering practices, LLMOps addresses the challenges that often prevent ML projects from reaching production, such as inadequate deployment strategies, lack of monitoring, and uncontrolled operational costs. Key Features and Functionality:

Pitstop is a catalogue of fixed-scope AI jobs for businesses: each job ships with explicit inputs, deliverables, limits and price — request it, review the artifacts, done. No agent-building, no prompt engineering, no subscription to a platform you have to learn. Bring-your-own-keys supported after acceptance.

Prompt Manager Pro is a comprehensive tool designed to streamline the creation, management, and optimization of prompts for AI language models. It offers an intuitive interface that allows users to craft effective prompts, organize them efficiently, and analyze their performance to enhance AI interactions. Key features and functionality include: - Prompt Creation and Editing: Users can design and refine prompts with ease, utilizing a user-friendly editor that supports various AI models. - Org

Cloudidr LLM Ops is an AI FinOps platform designed to provide finance and AI teams with comprehensive visibility and control over their AI expenditures. By offering real-time tracking of every dollar spent on AI—categorized by team, project, and model—Cloudidr enables organizations to manage budgets effectively and prevent overspending. Its intelligent cost optimization features can reduce AI expenses by up to 90%, ensuring that resources are utilized efficiently without compromising performance

Develop, test, and monitor your LLM tasks The platform for { structured } prompt engineering

LM-Kit.NET is a high-level inference SDK for Large Language Models (LLM) providing a wide range of advanced Generative AI capabilities for C#. It offers specialized AI functionalities for various industries, encompassing text completion, Natural Language Processing (NLP), content retrieval, text enhancement, translation, and more…

LMQL allows natural language querying for large models, simplifying data analysis.

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