SocialBu supports deploying, serving, monitoring, or operating AI and machine-learning systems.
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SinglebaseCloud supports deploying, serving, monitoring, or operating AI and machine-learning systems.
Quix is the agentic AI platform for hardware engineering — turn test-rig and sensor data into real-time insight.
Democratize and productionize Gen AI across your entire org with Portkey.
MLOps and LLMOps, from the trenches.
Platform and SDK for AI Engineers providing tools for LLM evaluation, observability, and a version-controlled enhanced prompt playground.
Simplifies and accelerates MLOps by bridging the gap between ML models and edge hardware.
Nimblebox supports deploying, serving, monitoring, or operating AI and machine-learning systems.
MyVibe supports deploying, serving, monitoring, or operating AI and machine-learning systems.
Private AI for individuals, teams, and organizations. Workspaces, agents, models, and knowledge—one connected system on your terms.
MLOps Now supports deploying, serving, monitoring, or operating AI and machine-learning systems.
MLOps Guide supports deploying, serving, monitoring, or operating AI and machine-learning systems.
MLOps Community supports deploying, serving, monitoring, or operating AI and machine-learning systems.
An open-source platform for tracking ML experiments, evaluating models and prompts, deploying models, and adding LLM observability. opensource.
Full-stack AI platform focused on multimodal agents and consumer-scale deployment.
Milvus is open source vector database for production AI, written in Go and C++, scalable and blazing fast for billions of embedding vectors.
Metorial supports deploying, serving, monitoring, or operating AI and machine-learning systems.
Helps teams build, deploy, observe or operate machine-learning systems.
Ship AI agents that reason, remember, and act in TypeScript. Mastra provides memory, tools, MCP, and observability to go from prototype to production.
Observability and prompt management platform for LLM-based apps. Take your LLMs to the next level.
A model gateway and unified interface for multiple model providers.
Algorithms for learning and inference with discrete probabilistic models.
KubeStellar Console supports deploying, serving, monitoring, or operating AI and machine-learning systems.
Kubeflow makes deployment of ML Workflows on Kubernetes straightforward and automated.