AI tool intelligence

Find the right AI products for the work.

Our live catalog contains 2,444 researched AI products. Each record keeps current product positioning, fit, limitations, pricing signals, and official destinations together for a clearer decision.

Search products, capabilities, and workflowsBrowse the index ↓
2,444AI products in the catalog
DatedAvailability and evidence checks
IndependentFit, limitations, and alternatives

Public AI tool catalog

Search this public selection by the work you need to improve.

Search the complete catalog by product, capability, workflow, category, or tag. Every result opens a profile built from the same live record.

AN
Catalog evaluation

Developer tools

Anyscale

Anyscale is a managed platform for building and scaling data-intensive AI workloads with Ray. Foundation model teams can run multimodal data curation, distributed training, embedding generation, and post-training workloads across their own GPUs, clouds, and clusters.

RayDistributed trainingData curationEmbedding generationMulti-cloud
Review
BA
Catalog evaluation

Machine learning platforms

Baseten

Baseten is a training and inference platform for teams serving AI models in production. It deploys open-source, custom, and fine-tuned models as scalable API endpoints, and also provides pre-optimized Model APIs, managed cloud infrastructure, self-hosted options, model training, and engineering support.

Model servingInference APIsAutoscalingGPU infrastructureModel training
Review
GR
Catalog evaluation

Machine learning platforms

Gradio

Gradio is an open-source Python library for creating web interfaces around machine learning models, functions, and APIs. Developers can assemble input and output components, launch a local or shareable app, and deploy projects to Hugging Face Spaces.

PythonModel demosHugging Face SpacesAPIOpen source
Review
GN
Catalog evaluation

Predictive analytics

Graphite Note

Graphite Note is a no-code decision intelligence platform for connecting data, building predictive models, and turning results into data stories and prescriptive actions. It supports Sandbox exploration and tailored Enterprise deployments for teams working on marketing, sales, and operational decisions.

No-code machine learningPredictive analyticsCausal modelingData storytelling
Review
HA
Catalog evaluation

Machine learning platforms

H2O.ai

H2O.ai provides enterprise software for building, fine-tuning, deploying, and governing predictive and generative AI. Its portfolio includes AI agents, automated machine learning, model operations, document AI, and open-source tools for data scientists and developers.

Generative AIPredictive AIAI agentsModel deploymentPrivate data
Review
LI
Catalog evaluation

No-code development

Liner

Liner is a desktop tool for training machine learning models from labeled data without writing code. It supports image, text, audio, video, object-detection, segmentation, and pose-classification projects, then exports trained models for integration with applications and supported edge platforms.

No-code machine learningLocal trainingImage classificationObject detectionEdge deployment
Review
NA
Catalog evaluation

Cloud computing

Novita AI

Novita AI is a cloud platform for developers building AI applications and agents. It provides serverless model APIs, isolated agent runtimes, GPU instances, serverless GPU jobs, and bare-metal GPU clusters for inference, training, and production workloads.

Model APIsGPU CloudAgent SandboxServerless inferenceDedicated GPUs
Review
RO
Catalog evaluation

Computer vision

Roboflow

Roboflow is an end-to-end computer vision platform for applications using images, video, and real-time streams. Teams can annotate and manage data, train custom models, build multi-stage workflows, and run inference in the cloud, private infrastructure, or on edge devices.

Image annotationModel trainingObject detectionVision deploymentEdge deployment
Review
RO
Catalog evaluation

Computer vision

Robovision

Robovision provides industrial vision intelligence infrastructure for governing computer vision systems over their full lifecycle. Its approach combines standardized applications, a platform for monitoring and model operations, and governance capabilities to help industrial operators sustain reliable inspection performance as conditions, products, and sites change.

Industrial inspectionQuality controlLifecycle managementEdge AIManufacturing
Review
SA
Catalog evaluation

Data labeling

Scale AI

Scale AI provides training data, model evaluations, and full-stack AI systems for enterprises, governments, and model developers. Its products support data annotation and management, generative AI application development, red-teaming, benchmarking, and the deployment of AI systems with human review.

Data annotationHuman-in-the-loopRLHFModel evaluationGenerative AI
Review
BA
Discontinued record

Machine learning platforms

Banana

Banana was a platform for hosting and autoscaling machine learning inference workloads on serverless GPUs. Banana announced that it would sunset the Serverless GPU platform and shut down its infrastructure on March 31, 2024, directing customers to migrate to another provider.

GPU inferenceServerless GPUsModel hostingAutoscaling
Review
BE
Discontinued record

Machine learning platforms

Beakr

Open the full product record for current fit, capabilities, pricing signals, and limitations.

GR
Discontinued record

Machine learning platforms

Gradient

Gradient is no longer available from gradient.ai, which now redirects to another product. Its remaining documentation describes a developer platform for fine-tuning open-source language models and generating completions through a web API.

LLM fine-tuningInference APIOpen-source models
Review

How the index works

A catalog built for decisions, not rankings.

Commercial relationships can fund the research. They never change product status, fit, limitations, evidence, or the alternatives we show.

Verify what exists

We check availability, product direction, pricing signals, and when the supporting evidence was last reviewed.

Evaluate operational fit

We assess the work it supports, integration requirements, ownership, risk, and where human judgment remains necessary.

Keep the comparison honest

Commercial relationships are disclosed, while credible limitations and alternatives stay visible.

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