Beneath most products in this area sits a model reachable over an endpoint, and this category holds those endpoints and their surrounding machinery.
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On-premises software appliances for governed test automation and AI operations
Bilingual guides for AI citation, Reddit growth and AI-built product workflows
Alfred AI is a cutting-edge assistant designed to revolutionize API documentation, discoverability, and integration.
Build language models, automate customer service, create chatbots, improve search algorithms, and generate reports.
Automate customer support, categorize product reviews, and detect sentiment in social media posts.
Automate customer service, use pre-trained models, and deploy solutions on web, mobile, cloud, or edge computing.
Build, train, and deploy models effortlessly, access data seamlessly, scale up operations, and improve predictions.
Detect, classify, and tailor object recognition in images and videos with a user-friendly interface and advanced analytics.
Directory for discovering and installing MCP servers for AI agents
Automate investment strategies adapting to market shifts.
Faster sorting algorithms discovered, investigates assembly instructions for improvements, enables more efficient data sorting.
Automate tasks, make better decisions, and monitor AI model performance with a user-friendly dashboard.
Build accurate models, identify data patterns, and consolidate data for predictive modeling.
AMA provides personalized recommendations, quick data analysis, and intuitive interface for finding answers in seconds.
Create smarter applications with Amazon's suite of AI services.
Automate customer sentiment analysis, create reports, and identify entities with pre-trained models and custom entity recognition.
Build high-quality ML datasets with automated labeling, pre-built workflows, and accurate labeling jobs.
Build custom models, automate processes, gain valuable insights from data with pre-trained models.
Develop predictive models, access and manage resources, collaborate and share data securely.
Connects fund data to AI tools via an MCP server for verified fund queries
Build, deploy, and scale AI apps with Ango Hub's comprehensive platform.
AI model API with automatic provider routing for lower-tier pricing
Analyzes a 30-second video selfie to deliver medical-grade vitals and wellness metrics from a smartphone camera.
Whole-codebase reasoning platform for code review, security and compliance
Create accurate customer segments, automate customer support tasks, enhance predictive analytics with AI-driven insights.
Create data processing applications, generate predictive models, and handle high-volume data collection and analytics.
Leverage deep learning models, distributed training, and Python/R programming for custom model development and deployment.
Efficiently tokenize text, extract named entities and sentiments, and uncover patterns for informed decision-making.
Train, develop, deploy, and evaluate deep learning models with customizability.
Build regression, classification, and anomaly detection models at scale using Apache Spark ML's scalable, distributed machine learning library.
Unified API gateway for multiple AI model providers using prepaid credits
Unified gateway providing a single API key and endpoint for multiple AI models
Real-time LLM pricing, benchmarks, and deprecation alerts via API and MCP-native endpoints
Accelerate application development with drag-and-drop interface, AI capabilities, and a supportive expert community.
Create faster applications, auto-generate models, optimize for improved performance with advanced model optimization.
Build sophisticated models easily with minimal code, intuitive interface, and pre-trained models for fast implementation.
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