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Published directory entries matching your search.
Arize Phoenix is an AI observability and evaluation tool built by Arize AI and the open-source community on OpenTelemetry and OpenInference. It provides tracing for debugging individual runs, evaluations to score output quality, a prompt playground, and datasets and experiments for comparing changes on the same inputs.
AssemblyAI provides voice AI infrastructure, including pre-recorded, realtime and synchronous speech-to-text APIs, a voice agent API, speech understanding features and guardrails. Features such as speaker diarization, summarization, sentiment analysis and PII redaction run on the same transcription request.
The Astromaterials Data System (Astromat) is a data infrastructure that curates, archives, and provides access to analytical data generated from astromaterials samples. It is NASA’s designated archive for laboratory analytical data acquired on samples from past, present, and future NASA missions curated by NASA’s Astromaterials Acquisition and Curation Office. The system supports end-to-end data curation and synthesis for advanced analysis and AI/ML use, and features machine- and human-actionable interfaces for the astromaterials research community.
Banana provides GPU inference hosting for AI teams. The platform scales GPUs up and down automatically and includes monitoring, business analytics, a CLI, SDKs, and an open automation API. Backends can be written with Potassium, an open-source HTTP framework. Paid Team and Enterprise tiers are offered.
BayesPy is an open-source Python library that provides tools for performing Bayesian inference. It is hosted as a public repository on GitHub where users can access the code and contribute to its development.
Beam provides a bare-metal cloud for agents, with persistent forkable microVMs that boot in seconds and can be paused, resumed, network-isolated and GPU-accelerated. Virtual machines are billed per second while running, with no compute charges while stopped. The platform also offers serverless GPU tasks, sandboxes and on-demand GPU machines.
BentoML is a unified model serving framework. It enables users to build model inference APIs, job queues, LLM applications, and multi-model pipelines. The framework supports local execution and deployment via Docker.
An open-source LLM gateway with routing, load balancing, guardrails, and observability for 1000+ models. opensource.
BudgetML is a tool for deploying a machine learning inference service to a secured HTTPS API endpoint with less than 10 lines of code. It runs the model on a Google Cloud Platform preemptible instance, generates a FastAPI server endpoint, and provides interactive Swagger docs. The project states that the library is not being actively maintained.
BurnRate is an AI usage analytics tool that tracks costs, tokens and usage patterns across AI coding providers. It connects OpenAI and Anthropic reporting accounts for provider-reported spend and offers a local CLI for session-level detail. Cloud workspaces come in Free, Pro at $12/month and Team at $29/seat/month plans.
Open-source project that supports deploying, serving, monitoring, or operating AI and machine-learning systems.
ByteHub is an open-source tool designed to simplify the creation and management of feature stores. It is maintained as a public repository on GitHub under the bytehub-ai organization, with documentation and tutorials available for users.
Helps teams build, deploy, observe or operate machine-learning systems.
CHICKEN is a compiler for the Scheme programming language that produces portable and efficient C. It supports the R5RS and R7RS standards and many extensions, runs on Linux, OS X, Windows, and many Unix flavours, and is distributed free under the BSD License. Libraries and extensions are available at Eggs Unlimited.
A personal blog about AI system design and bringing AI into production. Posts cover topics including generative AI applications, agents, multimodal models, LLM research challenges, model routing, generation configurations, and machine learning systems.
Chroma is open-source search infrastructure for AI under Apache 2.0. It supports vector, full-text, regex and metadata search, built on object storage. Chroma Cloud offers serverless, scalable deployment with usage-based pricing.
Clip-as-a-service is an open-source tool that provides scalable embedding, reasoning, and ranking capabilities for images and text using the CLIP model. It is maintained as a public repository on GitHub under the jina-ai organization, with documentation and installation guides available.
InterLock is a proxy positioned between AI agents and databases, files and APIs. It authorizes each request by role and policy, redacts sensitive fields before the agent sees them, holds risky writes for approval and audits requests. It deploys as infrastructure inside the user's environment, and the agents and data stores do not change.
Copysmith is a company that builds three specialized AI platforms: Frase, an AI search intelligence and generative engine optimization platform; Describely, an eCommerce content infrastructure platform; and Rytr, an AI conversation platform. These platforms help brands rank in search results, get cited by AI systems, and scale content production.
CoreWeave is an AI cloud platform with integrated technology and teams built for complex AI workloads. It offers Forge, described as tools for running and improving AI systems with any cloud, model or framework, and infrastructure for demanding workloads. Direct-to-Expert provides AI engineering support from CoreWeave engineers in existing channels. Forge pricing lists Free, Pro starting at $60 per month billed monthly, and Enterprise custom plans.
Cortex is cloud infrastructure for machine learning at scale, used to deploy, manage and scale machine learning models in production. It supports realtime, async and batch serverless workloads, along with automated cluster management including cluster autoscaling and spot instances with on-demand backups. Environments, provisioning and CI/CD and observability integrations are also listed. A notice states the project is joining Databricks.
Cortex Memory is a production-ready cognitive foundation for autonomous systems such as Embodied-AI and OpenClaw. It provides memory management functionality including extraction, search, and automated optimization, and includes SKILL, CLI, API, MCP, and an insights dashboard out-of-the-box.
Credyt is real-time monetization infrastructure for AI. It is intended to let builders observe spend per API call, model and customer, enforce budget limits before usage is authorized, and bill customers across usage-based, subscription, hybrid, credit and token pricing models. The team cites backgrounds at Visa, Checkout.com, TrueLayer and SumUp.
Criminal IP is a threat intelligence platform. It delivers AI-powered threat intelligence, IP reputation analysis, attack surface management, fraud detection, and brand protection. Users can use it to discover exposed assets, detect malicious infrastructure, and reduce cyber risk in real time.
