The World's AITM IDC Leader Forrester Leader Computer Vision NLP

Clarifai named a Leader in IDC MarketScape: Worldwide General-Purpose Computer Vision AI Software Platforms 2022.

The easiest deep learning AI platform for developers, data scientists and no-code operators

For Developers

Build intelligent apps faster with pre-built AI models and powerful machine learning AI. Create an account to access our API and get started today

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For Data Scientists

Use one data workspace with unlimited customization for data prep, insights discovery, visual exploration and modeling. ML Ops without Dev Ops.

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For Enterprises

Use AI to turn your big data into knowledge. Drive profitable growth. Increase productivity. Make AI a core competency within your organization.

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For Government

Build secure, trustworthy and explainable AI. Increase the value of your unstructured data gain the fastest time to knowledge.

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One platform to accelerate the  entire AI lifecycle


All your data in one place

Process any volume of unstructured image, video, text and audio data. AI indexes your data as they are added.

Scribe Automated Data Labeling

Label data 100x faster

Auto-annotate your input data. Label with AI Assist. Train, eval, iterate and deploy - all in one integrated tool.

Enlight Train and Eval

Custom AI for any use case

Train and evaluate models using user-friendly tools that make it fast for your business to develop custom AI.

Armada Elastic Inference

MLOps without DevOps (you're welcome)

Use AI to see what's in your unstructured data. Scale up and down as needed. Deploy anywhere.

Mesh Workflows

Connect AI models to perform complex operations

Transform your data with configurable workflows. 

Flare Edge

AI at the edge

Analyze video feeds faster and more accurately on-premise, air-gapped, or off the grid.


The world’s best teams build with Clarifai

“Clarifai provides an end-to-end platform with the easiest to use UI and API in the market. They’ve accelerated our AI development at scale allowing 1,000's of workers to label data and train 100,000's of AI models with significantly less development effort, and expedited go-to-market.”

Sr. Director of Catalog OperationsE-commerce Unicorn

“We evaluated the trillion dollar companies and a few niche retail players for our customer facing visual search use case. Clarifai was much easier to use than the trillion dollar companies, and their AI significantly outperformed both the niche players and the big guys in accuracy while having inference speeds 7x faster. The performance and the flexibility of the Clarifai platform has our executives exploring numerous other use cases to be powered by the Clarifai platform.”

Director of Product ManagementFortune 500 Retailer

“A pioneer in deep learning-based computer vision, Clarifai can tackle near-real-time visual search, facial recognition use cases, and deployment in the most secure, air-gapped environments that nearly all other vendors can’t match."


"Clarifai is a true leader in AI applications for DAM and serves our users by improving the searchability and discoverability of their content. Today, Widen users gain the ability to search by image, which is a game-changer during time-sensitive projects. By saving countless hours for users, this partnership with Clarifai improves the Widen experience and delivers true ROI for our customers."

Jamie LiechtyWiden

"My organization has worked with Clarifai for almost three years, close to a daily basis, and the engagements and collaboration are top notch. The Clarifai platform and capabilities can be adapted, trained, integrated and deployed to a variety of problem sets with stellar performance. We chose Clarifai over Microsoft, Google, AWS and IBM because of their production functionality and performance, product vision and their strong consulting partnership."

Head of CatalogFortune 500 Company

"The team was a pleasure to work with. We had a highly dynamic (some would say chaotic) deployment schedule, but the Clarifai team did their best to be malleable to our needs. They were professional, engaging and collaborative. Through constant interaction with us, they iterated on their solution and developed novel approaches to our problem."

Head of TechOpsGlobal 2000 Airline

Start building AI applications 

response = stub.PostModelOutputs(
print("Predicted concepts:")
for concept in response.outputs[0].data.concepts:
    print( + " " + str(concept.value))
MultiOutputResponse response = stub.postModelOutputs(
const request = new service.PostModelOutputsRequest();
    new resources.Input()
            new resources.Data()
                    new resources.Image()
[$response, $status] = $client->PostModelOutputs(
new PostModelOutputsRequest([
'model_id' => 'aaa03c23b3724a16a56b629203edc62c',
'inputs' => [
new Input([
'data' => new Data([
'image' => new Image([
'url' => ''
var GeneralModelId = "aaa03c23b3724a16a56b629203edc62c"
response, err := client.PostModelOutputs(
ModelId: GeneralModelId,
Inputs: []*api.Input{
Data: &api.Data{
Image: &api.Image{
Url: "",
const GENERAL_MODEL_ID: &str = "aaa03c23b3724a16a56b629203edc62c";

let request = service::PostModelOutputsRequest {
model_id: GENERAL_MODEL_ID.to_string(),
inputs: RepeatedField::from(vec![resources::Input {
data: SingularPtrField::some(resources::Data {
image: SingularPtrField::some(resources::Image {
url: "".to_string(),
string GENERAL_MODEL_ID = "aaa03c23b3724a16a56b629203edc62c";

PostModelOutputsRequest request;

Input* input = request.add_inputs();
Data* data = input->mutable_data();
Image* image = data->mutable_image();

MultiOutputResponse response;
grpc::Status status = stub->PostModelOutputs(context.get(), request, &response);

if (!status.ok()) {
cout << "Failure: " << status.error_code() << " " << status.error_message() << endl;

if (response.status().code() != status::StatusCode::SUCCESS) {
cout << "Error response: " << response.status().code() << " " << response.status().description() << " " << response.status().details() << endl;

Data response_data = response.outputs(0).data();
cout << "Predicted concepts:" << endl;
for (int i = 0; i < response_data.concepts_size(); i++) {
const Concept& c = response_data.concepts(i);
cout << "\t" << << ": " << c.value() << endl;
var response = client.PostModelOutputs(
new PostModelOutputsRequest()
ModelId = "aaa03c23b3724a16a56b629203edc62c",
Inputs =
new List<Input>()
new Input()
Data = new Data()
Image = new Image()
Url = ""
let response = try client.postModelOutputs(
Clarifai_Api_PostModelOutputsRequest.with {
$0.modelID = "aaa03c23b3724a16a56b629203edc62c";
$0.inputs = [
Clarifai_Api_Input.with {
$ = Clarifai_Api_Data.with {
$0.image = Clarifai_Api_Image.with {
$0.url = ""