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.

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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.

AL
Catalog evaluation

Developer tools

alwaysAI

alwaysAI is an enterprise computer vision platform for turning camera footage into real-time operational data. Teams can manage datasets, train or bring models, develop applications with edgeIQ APIs, deploy to edge or cloud environments, and review analytics in the platform console.

Object detectionModel trainingEdge deploymentVideo analyticsMLOps
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
CE
Catalog evaluation

MLOps

Censius

Censius is an AI observability platform for machine learning teams monitoring production models. It brings together model details, input data, logs, and monitoring insights to identify performance, drift, data quality, and bias issues, then guide root cause analysis and remediation.

Model MonitoringModel ExplainabilityModel DriftRoot Cause AnalysisPython SDK
Review
DM
Catalog evaluation

Machine learning

Databricks Mosaic AI Training

Databricks Mosaic AI Training is the current Databricks service and tooling for training and deploying large AI models. Formerly MosaicML, it provides a command-line interface and Python SDK for training runs, pretraining, fine-tuning, cloud data access, and developer-tool integrations.

Large Language ModelsModel TrainingModel Fine-TuningPython SDKMulti-Cloud
Review
DA
Catalog evaluation

MLOps

Datatron

Datatron is an enterprise MLOps platform for operationalizing machine learning models, monitoring their production health, and supporting AI governance. It supports deployment across on-premises, cloud, and air-gapped environments, with integrations intended for existing enterprise infrastructure.

Model deploymentModel monitoringAI governanceKubernetes
Review
EA
Catalog evaluation

Developer tools

Evidently AI

Evidently AI is an open-source framework for evaluating, testing, and monitoring LLM applications, RAG systems, AI agents, and predictive machine-learning models. Teams can use built-in or custom metrics, generate test cases, run evaluations locally or in the cloud, and track quality over time.

LLM evaluationML monitoringData driftRAG evaluationOpen source
Review
FR
Catalog evaluation

Developer tools

FriendliAI

FriendliAI provides API and infrastructure options for running open-weight and custom models in production. Developers can use pay-as-you-go Model APIs, deploy dedicated GPU endpoints for predictable capacity, or run its containerized offering in their own environment for greater deployment control.

Model inferenceOpen-weight modelsDedicated GPUsOpenAI compatibilityModel serving
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
JA
Catalog evaluation

Machine learning

JADBio

JADBio is an automated machine learning platform for analyzing multi-omics and biomedical data. It helps life-science professionals build and interpret classification, regression, and survival-analysis models, with feature selection and sharing tools designed for users without data science expertise.

AutoMLBiomarker discoveryMulti-omicsPredictive modelingSurvival analysis
Review
KA
Catalog evaluation

Developer tools

Kaba

Kaba is an open-source digital laboratory that describes a local, privacy-focused approach to building models from a person's actions, experiences, interests, and context. Its website presents Kaba as free software, but states that the download is coming soon.

Local-firstData privacyMachine learningMultimodal
Review
LA
Catalog evaluation

Data labeling

Labelbox

Labelbox is a platform and labeling service for creating high-quality training and evaluation data for AI systems. Teams can manage multimodal datasets, configure annotation projects, use expert labelers, and run workflows for RLHF, model evaluation, fine-tuning, and agent tasks.

Training dataRLHFModel evaluationMultimodal dataHuman feedback
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
MA
Catalog evaluation

Developer tools

Martian

Martian is an AI research lab that makes selected tools available to developers. Its Gateway provides a single API for more than 200 models with OpenAI and Anthropic API compatibility, while its ARES and K-Steering projects support agent evaluation and inference-time behavior control.

LLM routingAPIMulti-model accessOpenAI compatibilityAgent evaluation
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
NU
Catalog evaluation

Machine learning

Numenta

Numenta develops brain-based AI technology. Its NuPIC platform is presented as software for deploying pretrained and customized language models on CPUs within a customer's infrastructure, while the company continues research around its Thousand Brains Theory of Intelligence.

CPU inferenceLLM deploymentNatural language processingPrivate infrastructureDocker
Review
NY
Catalog evaluation

Machine learning

Nyckel

Nyckel is a managed machine learning platform for building classification, object detection, and search functions as REST APIs. Teams can start with pretrained classifiers or train models on their own image, text, and structured data, then improve predictions from real-world feedback.

Image classificationText classificationObject detectionREST APIAutoML
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
AN
Discontinued record

Machine learning

Anote

Anote is a human-centered AI platform for creating labeled datasets, improving domain-specific models, and evaluating AI systems. It combines annotation workflows and human feedback with fine-tuning, benchmarks, synthetic data, and developer tools for teams building reliable AI applications.

Data annotationLLM evaluationFine-tuningHuman feedbackSynthetic data
Review
CA
Discontinued record

No-code development

Codenull.ai

Codenull.ai is a no-code AI platform presented as an early-access service for creating custom models from historical data. Its landing page describes a workflow for preparing data, training a model in one step, and using personalized models for recommendations, fraud detection, forecasting, and related business use cases.

No-codeModel trainingRecommendation systemsFraud detectionForecasting
Review
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
LO
Discontinued record

Machine learning

Lobe

Lobe was a free desktop tool for training and exporting machine learning models on Mac and PC. The official Lobe GitHub organization states that the desktop application is no longer under development, while its repositories remain available as historical resources.

Model trainingModel exportDesktop app
Review
ST
Discontinued record

Image generators

Stablematic

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

Stable DiffusionMachine learning modelsGPU computing
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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