H Company vs Labelbox

H Company — Application · Private · $220M raised · 2 of 2 figures sourced  |  Labelbox — Infrastructure · Private · $189M raised · 2 of 2 figures sourced

Relationship

Assembled from the recorded fields for this pair, not hand-checked. The comparison below is read from each company’s own profile.

Aligned comparison

FieldH CompanyLabelbox
Capital raised$220M$189M Labelbox has 14% less
Employees——
Founded20232018 5 yrs earlier
StatusPrivatePrivate match
CategoryApplicationInfrastructure
Stack layerAI agent, Agent platform, Model APIAgent platform, Application, Data service, Developer tool, Platform
HeadquartersParis, FranceSan Francisco, USA

Capability overlap

Shared · 3

Agent orchestrationModel inferenceWorkflow automation

Not verified for H Company · 5

Data analysisData labellingEvaluation and observabilityModel trainingVector search

Recorded for Labelbox. H Company’s product records say nothing either way — a missing record is not a missing capability.

H Company has no capability Labelbox lacks, among the 3 recorded here.

Products, side by side

Algorithmic pairing — assembled from recorded fields, not hand-checked

H Company

Agent platform

Computer-use AgentsAgent platform

Managed agents that operate computer interfaces (web, desktop, mobile) programmatically via API.

Labelbox

Agent platform

RecursionAgent platform

Labelbox's reinforcement-learning platform for developing, evaluating and deploying enterprise specialist agents, connecting RL environments, evaluation systems and a training loop that fine-tunes models from graded rollout trajectories.

No counterpart

H Company sells these in a stack layer with no product recorded for Labelbox yet — nothing on the other side to compare them against.

AI agent

HoloDesktop CLIAI agent

Open-source CLI client that launches and drives H Agent locally, giving the agent mouse/keyboard control across the whole desktop operating system (not just a browser).

HoloTabAI agent

Chrome extension that runs an agent inside the browser to fill forms and work through sites.

Runner HAI agent

Agent that completes multi-step tasks in a web browser on the user's behalf.

Model API

Holo Models APIModel API

Multimodal API (Holo3-1-35B-A3B open-source, Holo3-122B-A10B flagship) for text/image/document processing with computer-use capabilities, billed per token.

Labelbox sells these in a stack layer with no product recorded for H Company yet — nothing on the other side to compare them against.

Application

AnnotateApplication

Annotate is the data labeling product within Labelbox, providing 10+ built-in editors for multimodal chat, LLM evaluation, prompt/response generation, computer vision and NLP, plus customizable labeling and review workflows and team performance monitoring.

CatalogApplication

Catalog is Labelbox's data curation and search product providing out-of-the-box search across images, text, video, conversations and documents over metadata, vector embeddings and annotations without building your own vector database infrastructure.

Developer tool

Labelbox FoundryDeveloper tool

Foundry runs third-party foundation models over data already in Labelbox to pre-label and enrich image, text and document datasets without code, routing the predictions to human review; billed as inference cost per model run plus Labelbox Units.

Platform

HorizonPlatform

Horizon supplies RL training gyms and evaluations for reasoning, tool use and computer use, using WorldSim to simulate enterprise environments such as GitLab, Jira, CRM, email and chat and to produce calibrated reward and preference signals for post-training.

Data service

AlignerrData service

Alignerr is Labelbox's expert-network product that routes AI training and evaluation tasks to credentialed contributors across 200+ knowledge domains and 40+ countries and returns structured outputs for RL training, RLHF and evaluation workflows.

TerraData service

Terra is Labelbox's robotics data product delivering video, trajectories and multimodal annotations across pre-training, post-training and evaluation stages, including expert teleoperation with action labels and multiple camera perspectives for embodied foundation models.