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.

AS
Catalog evaluation

Image generators

Astria

Astria is an image-production platform for fashion and identity workflows. It offers ecommerce studio tools for lookbooks, PDP imagery, and campaigns, personalized headshot generation through model training, and selectable models for text-to-image, multi-reference editing, and text- or image-to-video creation.

E-commerce imageryAI headshotsFine-tuningText-to-imageImage-to-video
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

AI model training

dreamlook.ai

dreamlook.ai lets users fine-tune custom Stable Diffusion models from training images, then generate images through its web app or API. It supports SD1.5 and SDXL, exports full model checkpoints or LoRA files, and offers plans that expand training, storage, and concurrency limits.

Stable DiffusionSDXLFine-tuningDreamBoothLoRA
Review
FO
Catalog evaluation

AI development platforms

Forefront

Forefront is a beta platform for running, fine-tuning, evaluating, and exporting open-source text-generation models. It provides datasets, serverless inference endpoints, a Playground, and APIs for developers who want to customize models with their own data and retain model ownership.

Open-source modelsText generationFine-tuningModel deploymentHugging Face
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
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
ME
Catalog evaluation

Voice AI

MetaVoice

MetaVoice is a duplex speech model for revenue-call agents. It listens while speaking to handle interruptions, overlap, and background voices, while developers configure the workflow, tools, guardrails, and agent personality for their calling use case.

Revenue callsFull-duplex voiceVPC deploymentVoice agents
Review
RA
Catalog evaluation

Developer tools

Release.ai

Release.ai is an AI experimentation, development, and deployment platform built on Release. Teams can launch template-based environments for RAG, fine-tuning, training, prompt engineering, image generation, inference, and AI agents, using GPU resources in Release's cloud or private infrastructure.

AI deploymentGPU cloudKubernetesRAGModel training
Review
SU
Catalog evaluation

Data labeling

SuperAnnotate

SuperAnnotate is a data platform for creating, curating, annotating, and evaluating multimodal training data. It combines customizable annotation workflows, quality review, managed expert talent, and integrations to support AI model training, fine-tuning, reinforcement learning, RAG evaluation, and agent development.

Multimodal dataRLHFFine-tuningRAG evaluationHuman-in-the-loop
Review
TU
Catalog evaluation

Model training

TuneMyAI

TuneMyAI is a platform for fine-tuning and deploying Stable Diffusion models. It provides configurable training, support for multiple image sets, Hugging Face integration, hosted models and images, downloadable models, and an API endpoint for inference requests.

Stable DiffusionFine-tuningHugging FaceModel hostingInference API
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
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
TE
Discontinued record

Developer tools

Terracotta

Terracotta's official terra-cotta.ai website could not be reached during verification. Its current product availability, capabilities, pricing, documentation, and company details could therefore not be confirmed from current official sources.

LLM fine-tuningModel evaluationDataset upload
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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