# H Company

- Status: Unclaimed: compiled by Nowen from public sources, not reviewed by the company
- Industry: AI & Machine Learning
- Market category: AI Agent Platforms (https://nowen.ai/category/ai-agent-platforms)
- Delivery model: software
- Location: Paris, France
- Website: https://hcompany.ai
- AI agent profile: https://nowen.ai/agents/hcompany-ai
- Updated: 2026-11-12
- Directory: one of 13 AI agents in AI & Machine Learning (https://nowen.ai/industry/ai-and-machine-learning); one of 89 AI agents in AI Agent Platforms (https://nowen.ai/category/ai-agent-platforms)
- Read by AI assistants from: Perplexity

> H Company develops AI models and agents that automate work across enterprise software and systems.

H Company is an AI research lab and agentic platform focused on advancing AI systems that can act reliably in real-world enterprise environments. It serves organizations seeking to automate work across existing software, including legacy systems, by developing models and agents that understand interfaces and carry out tasks. The company combines research, engineering, and deployment support to help organizations build and operate AI systems on their current infrastructure.

**Mission:** Advance AI systems that can be trusted to act inside real-world enterprise systems.

## Products & Services

### [H Platform](https://hcompany.ai/h-platform)
*Platform*
Automates work across web, desktop, and enterprise systems with configurable agents, integrated tools, and controls for monitoring their runs.
H Platform is an enterprise platform for configuring, connecting, running, and monitoring agents across web, desktop, and enterprise systems. It combines a proprietary agent execution engine, workflow orchestration for complex long-horizon tasks, virtual and local environments, and inference on H-hosted models. Teams can use the Agents API and Models API, SDKs, MCP, CLI, and connectors, with reusable skills and specialist subagents. Agents can navigate live web apps visually, perform computer actions such as clicking and typing, and adapt to interface changes. The platform supports live session monitoring and action-by-action replay, alongside security controls including secured tunnels to customer machines, system-level permissions, SSO, projects, and role-based access control.
- Categories: AI Agent Platforms (https://nowen.ai/category/ai-agent-platforms)

- **Agent configuration and deployment** — Configure And Deploy Agents
- **Cross-environment execution** — Run Agents Across Environments
- **Workflow orchestration** — Orchestrate Complex Agent Workflows
- **Session monitoring and replay** — Monitor And Replay Agent Runs
- **Enterprise security and access controls** — Control Access Across Deployments
- **Proprietary agent execution engine** — Run Agents On H's Hosted Models
- **Visual navigation and computer use** — Automate Tasks Through Visual Interfaces
- **Adaptive interface handling** — Keep Runs Reliable After UI Updates
- **End-to-end agent infrastructure** — Run Agents On An Integrated Stack
- **Integrated APIs and developer tools** — Connect Agents To Existing Tools
- **Web browsing and structured extraction** — Browse Web Apps And Extract Data
- **Reusable skills and subagent delegation** — Reuse Skills And Delegate Tasks
- **Lower cost per GUI run** — Reduce Cost Per GUI Run
- **Data hosting and retention controls** — Choose Data Residency And Retention Options

### [Models API](https://hcompany.ai/models-api)
*Product*
Build with Holo models to process multimodal content and perform computer-use tasks through a familiar API, with flexible hosted or local inference.
An OpenAI-compatible API for using Holo models to process text, images, and documents, with computer-use capabilities for digital environments. The API offers models in multiple sizes, including Holo4 models with 256K context, a rate-limited free tier for Holo3.1, and pay-as-you-go access. Selected models can also be served locally with llama.cpp or vLLM using the same API client.

- **Computer-use capabilities** — Build Computer-Use Workflows Across Environments
- **OpenAI-compatible API access** — Integrate Holo Models With Familiar Tools
- **Multimodal input processing** — Process Text, Images, And Documents
- **Model choice and context lengths** — Choose Models For Different Workloads
- **Free and pay-as-you-go access** — Start Free And Pay For Model Usage
- **Local inference** — Run Supported Models On Your Infrastructure
- **Zero data retention** — Keep Submitted Data Out Of Persistent Storage
- **Element localization** — Locate Interface Elements From Screenshots
- **Document OCR** — Convert Rendered Pages Into Markdown
- **Open model weights** — Download Open Weights For Supported Models

### [Holo models](https://hcompany.ai/research/models)
*Product*
Holo models help teams build agents that understand software interfaces and carry out tasks across digital environments.
Holo is H Company's family of vision-language and action models trained to understand software interfaces and act on instructions. The models support computer-use tasks across digital environments, with capabilities varying by release, including visual grounding, action generation, long-horizon control, and tool use. The family includes models in multiple sizes and architectures. Selected releases have open weights, quantized checkpoints, and options for local inference; models are also available through H Company's Models API.

- **Visual interface grounding and action** — Ground Instructions In Interface Actions
- **Cross-environment computer use** — Operate Across Web Desktop And Mobile
- **Multi-interface tool use** — Combine Screens Code And Tools
- **Long-horizon task control** — Manage Multi-Step Workflows
- **Multimodal input processing** — Process Text Images And Documents
- **Local and quantized inference** — Run Models Locally
- **Open-weight model releases** — Download Selected Model Checkpoints
- **Model size and architecture options** — Choose A Model For Your Workload
- **Function-calling support** — Integrate With Function-Calling Agent Stacks
- **Benchmark-tested computer-use performance** — Compare Published Model Results

### [HoloTab](https://hcompany.ai/holotab)
*Product*
HoloTab takes everyday browsing tasks off users’ hands, with reusable routines and scheduling to reduce repeated manual work.
HoloTab is a free Chrome extension that works from a browser side panel to navigate websites and handle everyday tasks such as managing email, scheduling meetings, researching trips, and listing products. Users can give typed or spoken instructions, watch its reasoning as it works, and save tasks as reusable routines that can run on a schedule. HoloTab can summarize or extract page content. It requires no signup, and its terms state that it deactivates on more than 150 sensitive domains.

- **Browser task automation** — Automate Everyday Web Tasks
- **Chrome side panel access** — Start Browser Automation For Free
- **Reusable routines** — Save Tasks As Reusable Routines
- **Scheduled actions** — Schedule Routines To Run Automatically
- **Live task visibility** — Follow The Agent's Progress
- **Page summarization and content extraction** — Summarize Pages And Extract Content
- **Sensitive-domain safeguards** — Deactivate On Sensitive Domains
- **Text and voice input** — Give Tasks By Voice Or Text
- **Temporary visual-data processing** — Delete Screenshots After Processing

### [HoloDesktop CLI](https://hcompany.ai)
*Product*
Run an agent on your device with Models API inference or a self-hosted model.
HoloDesktop CLI is a command-line tool for running an agent on-device. It supports inference through the Models API or a self-hosted model.

- **On-device agent execution** — Run Agents On Your Device
- **API or self-hosted inference** — Choose Hosted Or Self-Hosted Inference

### [Enterprise agent deployment](https://hcompany.ai/enterprise)
*Service*
Automate work across existing enterprise systems while keeping actions traceable, data controlled, and deployment supported from discovery through production scale.
H Company works with enterprise teams to deploy computer-use agents on their existing systems, including legacy software, mainframes, and desktop applications, without requiring APIs, connectors, or infrastructure rebuilds. The engagement moves from workflow discovery and prototyping on the customer's systems to an agreed proposal, production launch with embedded H Company engineers, and scaling across processes, teams, and geographies. Agents operate directly through software interfaces, with controls for authorized access, human review, traceability, and data protection. Multi-tenant deployment is the default; on-premise and private cloud options are assessed case by case for organizations with specific regulatory or data-sovereignty requirements.

- **Deployment on existing systems** — Automate Work Across Existing Systems
- **Perimeter and data controls** — Protect Data And Enforce Boundaries
- **Forward-deployed engineering** — Deploy With Embedded Engineers
- **Workflow discovery and prototyping** — Validate Workflows Before Production
- **Traceable agent actions** — Review And Replay Every Action
- **Human review and approval controls** — Keep People In Control
- **Flexible deployment options** — Choose A Deployment Model
- **Data sovereignty** — Keep Inference Under Your Control
- **End-to-end platform ownership** — Work With One Accountable Partner
- **Enterprise security and compliance** — Meet Enterprise Security Requirements
- **Predictable inference costs** — Keep Inference Costs Predictable
- **Deployment velocity** — Move From Scope To Production Faster

### [Bot Estate Audit](https://hcompany.ai/bot-estate-audit)
*Service*
Understand bot fragility and total operating costs, compare agent alternatives, and get a prioritized retirement shortlist before your next license renewal.
A free, two-week assessment of an organization's automation estate. Using an export of bot names, schedules, run history, and failure logs, plus two workshops, it assesses each bot's fragility and costs, compares bot run costs with the cost of an agent handling the same process, and recommends bots to retire first. The week-two readout includes reusable cost assumptions and a shortlist of bots for a potential paid prototype. The audit requires no access to production systems and carries no commitment beyond the audit.

- **Bot fragility scoring** — Identify Bot Breakage And Maintenance Effort
- **Run-cost and savings modeling** — Compare Bot And Agent Run Costs
- **Bot retirement recommendations** — Prioritize Bots For Retirement
- **Finance-ready readout** — Present Reusable Cost Assumptions
- **Two-week assessment** — Complete An Assessment In Two Weeks
- **Limited-access audit process** — Assess Bots Without Production Access
- **Free, no-commitment audit** — Evaluate Your Estate At No Cost

### [Exception Queue Sprint](https://hcompany.ai/exception-queue-sprint)
*Service*
Measure how much of a bot exception queue an agent can complete and get results and a launch proposal in two weeks.
A two-week engagement that puts a live computer-use agent on one of your exception queues in a sandbox. The agent works real exceptions across portals, legacy screens, and documents, while H Company measures how many items it completes and which it routes to a person. The Sprint also provides failure reasons and a launch proposal for the selected queue and two more. Existing bots keep running, and human review thresholds are set by you.

- **Live exception-queue agent** — Test An Agent On Real Exceptions
- **Completion-rate reporting** — Measure Queue Completion
- **Human review thresholds** — Route Judgment Calls To Reviewers
- **Controlled sandbox deployment** — Start Safely In Your Sandbox
- **Production launch plan** — Plan A Production Launch
- **Two-week engagement** — Get Results In Two Weeks
- **Existing bot continuity** — Keep Existing Bots Running

### [NeoMME](https://hcompany.ai)
*Product*
Supports long-context document understanding with multimodal encoders and retrievers available in multiple sizes and variants.
NeoMME is an open model family of multimodal encoders and retrievers for long-context document understanding. It is available in 260M and 800M parameter sizes, with dense and late interaction retriever variants, under the Apache 2.0 license.

- **Long-context document understanding** — Understand Long Documents
- **Model sizes and retriever variants** — Choose A Model Variant
- **Apache 2.0 license** — Use Apache 2.0 Licensed Models

## Sources

- [H Company](https://hcompany.ai)
- [H Platform](https://hcompany.ai/h-platform)
- [Models API](https://hcompany.ai/models-api)
- [Holo models](https://hcompany.ai/research/models)
- [HoloTab](https://hcompany.ai/holotab)
- [Enterprise agent deployment](https://hcompany.ai/enterprise)
- [Bot Estate Audit](https://hcompany.ai/bot-estate-audit)
- [Exception Queue Sprint](https://hcompany.ai/exception-queue-sprint)