Sold by: H Company
Deployed on AWS
H Platform brings autonomous AI agents to the real world of enterprise operations. By combining agentic AI with computer use technology, H sees, understands, and interacts with any digital interface without requiring a single line of integration code. Developed by H Company, the world's leading provider of Computer Use agentic AI, H Platform delivers every layer of the agent stack in one place: proprietary vision models, multimodal agents operating across web, desktop, and mobile, and a unified platform to configure, deploy, monitor, and evaluate agents at scale.
4.3
Overview
H Platform is developed and operated by H Company, the world's leading provider of Computer Use agentic AI. From the outset, H has pioneered a full-stack approach to agentic AI, combining proprietary foundation models trained on synthetic data, autonomous agents, execution infrastructure, and a continuous learning loop. This integrated ownership enables enterprises to scale efficiently and manage costs, with inference running up to 100x cheaper than traditional models.
Where H takes over H steps in where traditional automation reaches its limits: when APIs are missing, when legacy systems don't communicate with each other, when processes span heterogeneous interfaces, or when volume exceeds what your teams can absorb. If a human can do it on a screen, H can do it too, faster, more reliably, and with full traceability.
Core Capabilities
- Multi-system integration: H operates across legacy systems, web browsers, and documents, connecting heterogeneous interfaces without disrupting what already works
- UI Reasoning and Adaptability: adapts in real time if a step fails or an interface changes, keeping workflows running so your operations never stop
- End-to-end autonomy: retains context across steps and replays any process autonomously after being shown once, so your AI use cases reach production without manual last-mile effort
- Parallelization: executes multiple processes simultaneously, multiplying volume without increasing resources
- Full observability: every action is logged and replayable, ensuring native compliance and built-in business guardrails, so automation never becomes a governance risk
Deployment and use cases H engineers deploy on-site to build tailored agentic solutions directly integrated into your critical processes, with fast iteration and measurable business value. H operates across any use case and any industry, including third-party risk evaluation, invoice and purchase order processing, post-production testing across customer journeys, and regulatory compliance reconciliation.
Note: This product is available via Private Offer only. Final pricing will be defined in your contract with H Company. Contact us: https://hcompany.ai/contact
Highlights
- Full stack: H Company masters the full agentic AI stack, from models to deployment, so you keep full control over costs.
- Engineering team: H engineers deploy on-site to build tailored solutions in short cycles, so you get concrete business value from day one.
- Zero integration: H connects to any software, legacy or modern, so you automate any process from day one.
Details
Sold by
Delivery method
Deployed on AWS
New
Introducing multi-product solutions
You can now purchase comprehensive solutions tailored to use cases and industries.
Features and programs
Financing for AWS Marketplace purchases
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing
Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/12 months |
|---|---|---|
Annual fee | Annual fixed fee as per contract, in USD, EUR or GBP | $100,000.00 |
Dimensions summary
You buy this platform through a single annual fixed fee set by contract. There are no separate tiers, instance sizes, or usage add-ons to choose from. The fee is a flat commitment for the term, and you can be billed in USD, EUR, or GBP. Because the price is fixed upfront, your costs stay predictable across the contract period, with no metered charges tied to volume or activity. To set the fee, you work directly with the vendor to scope the workflows the platform will handle in your environment.
Top-of-mind questions for buyers
The fee covers a managed engagement where the vendor's engineers map your workflows, deploy agents on your actual systems, and scale what works. This includes the model, orchestration, and agents as one owned stack. The vendor remains embedded through scoping, on-site proof, and production stages.
No. Your cost is a flat annual fee set by contract, not tied to volume or activity. Inference runs on the vendor's own stack, so costs stay predictable with no metered charges or exposure to third-party pricing changes. Scaling to more processes or teams happens within the contract scope.
Agents interact through the user interface when no API exists, reading screens and completing tasks like a human operator. Where an API exists, they use standard integration patterns. No changes to your stack are required. This connection method is part of the platform and does not add separate charges.
www.hcompany.ai
Helpful?
Vendor refund policy
Refund Policies are subject to direct agreements between the customer and H Company.
Legal
Vendor terms and conditions
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
Delivery details
Software as a Service (SaaS)
SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.
Resources
Vendor resources
Support
Vendor support
Please contact your H Company representative for additional assistance: https://hcompany.ai/contact
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
Similar products
Tutela Agentic Security gives security teams runtime visibility and policy control over AI prompts, files, outputs, and tool calls to prevent sensitive data leakage and destructive actions across browsers, embedded AI, SDKs/APIs and MCP Gateways.
H2O.ai provides complete AI convergence across Predictive AI, Generative AI, and Agentic AI, offering a comprehensive AI tech stack that empowers you to build and secure your own AI workflows and solutions.
Our end-to-end SaaS AI platform is a fully managed cloud-native solution, delivering seamless scalability, robust security, and enterprise-grade performance. With H2O AI Cloud, you own every part of your AI stack - your data, your prompts, and your models - ensuring full control, privacy, and security over your AI initiatives.
Companies looking for Amazon Bedrock implementation worry about model accuracy, security risks, and runaway AI costs. h‑Bar Solutions helps remove that uncertainty with a guided, fully‑managed Bedrock buildout that delivers secure, predictable, production‑ready GenAI, without the guesswork. We architect, deploy, and optimize Bedrock so you get real outcomes fast, safely, and cost‑effectively.
Customers exploring Managed Services for Amazon Bedrock worry about model security, fragmented tooling, and the complexity of deploying AI safely at scale. h‑Bar Solutions helps remove the risk by delivering secure, compliant, production‑ready Bedrock deployments, protecting you from threats like prompt injection, data leakage, and integration overhead while accelerating time to value. When you need a trustworthy partner who makes AI deployment safe, simple, and fast, h‑Bar becomes the obvious choice.
Customer reviews
Airlines/Aviation
AI Agents That Streamline Workflows and Boost Productivity
Reviewed on Oct 28, 2026
Review provided by G2
What do you like best about the product?
What I like best about H Company is its focus on developing AI agents that can automate complex tasks and interact with digital environments. I find the potential to reduce manual work, streamline workflows, and improve productivity particularly valuable, especially for teams looking to make everyday operations more efficient.
What do you dislike about the product?
One potential drawback is that AI agents can still make mistakes when handling complex tasks or require human supervision to ensure reliable results. I'd also like to see more real-world use cases and clear evidence of how H Company's solutions perform in everyday workflows and how easily they integrate with existing tools.
What problems is the product solving and how is that benefiting you?
H Company aims to automate repetitive digital tasks and streamline complex workflows through AI agents. This could help me save time on manual tasks, improve efficiency, and focus on more strategic work while reducing the effort required to manage everyday operations.
Abhishek S.
Streamlined Web Scraping and Scalable Data Extraction for Data Engineering
Reviewed on Oct 21, 2026
Review provided by G2
What do you like best about the product?
What I like most about H Company is how much it simplifies web scraping, data extraction, and automated data collection—core parts of my data engineering work. It allows me to pull both structured and unstructured data from multiple websites without spending excessive time developing, debugging, and maintaining custom scraping scripts.
One of the biggest advantages is that it makes data collection more efficient and scalable, especially when I’m working with large datasets, frequently changing web content, or many different sources. It reduces manual effort and makes it easier to bring external web data into my existing data pipelines.
For example, in my day-to-day data engineering work, I can use H Company to extract product information, pricing, availability, and customer reviews from multiple e-commerce websites. I can then ingest that extracted data into an AWS S3 data lake using Apache NiFi or Python-based ETL pipelines. From there, I can use Apache Spark to clean, transform, and standardize the data, and AWS Athena to analyze pricing trends, product availability, and customer sentiment. By automating the scraping process, I can keep these datasets updated regularly without having to manually collect information from individual websites.
One of the biggest advantages is that it makes data collection more efficient and scalable, especially when I’m working with large datasets, frequently changing web content, or many different sources. It reduces manual effort and makes it easier to bring external web data into my existing data pipelines.
For example, in my day-to-day data engineering work, I can use H Company to extract product information, pricing, availability, and customer reviews from multiple e-commerce websites. I can then ingest that extracted data into an AWS S3 data lake using Apache NiFi or Python-based ETL pipelines. From there, I can use Apache Spark to clean, transform, and standardize the data, and AWS Athena to analyze pricing trends, product availability, and customer sentiment. By automating the scraping process, I can keep these datasets updated regularly without having to manually collect information from individual websites.
What do you dislike about the product?
Nothing so far. My experience with H Company has been positive, and I haven't encountered any significant issues or limitations in my data engineering and web scraping agentic workflows.
What problems is the product solving and how is that benefiting you?
H Company helps me address the challenges of collecting, extracting, and managing data from multiple web sources, which is an important part of my data engineering work. Building and maintaining custom web scraping solutions can be time-consuming, especially when I’m dealing with dynamic websites, changing page structures, and large volumes of unstructured data.
For example, I can use H Company to gather product details, pricing information, and customer reviews from multiple e-commerce websites. I can then integrate this data into my existing data pipelines using Python, Apache NiFi, and AWS S3, followed by transformation with Apache Spark and analysis through AWS Athena.
The biggest benefit for me is reduced manual effort and faster access to data. Instead of spending significant time developing and maintaining scraping scripts, I can focus on building reliable ETL pipelines, improving data quality, optimizing processing performance, and generating useful business insights. It also makes it easier to automate recurring data collection tasks and maintain consistent datasets for downstream analytics and reporting.
Overall, H Company improves my productivity, reduces repetitive development work, and makes external data integration more efficient and scalable.
For example, I can use H Company to gather product details, pricing information, and customer reviews from multiple e-commerce websites. I can then integrate this data into my existing data pipelines using Python, Apache NiFi, and AWS S3, followed by transformation with Apache Spark and analysis through AWS Athena.
The biggest benefit for me is reduced manual effort and faster access to data. Instead of spending significant time developing and maintaining scraping scripts, I can focus on building reliable ETL pipelines, improving data quality, optimizing processing performance, and generating useful business insights. It also makes it easier to automate recurring data collection tasks and maintain consistent datasets for downstream analytics and reporting.
Overall, H Company improves my productivity, reduces repetitive development work, and makes external data integration more efficient and scalable.
Araceli C.
Simplify work and improve efficiency
Reviewed on Oct 21, 2026
Review provided by G2
What do you like best about the product?
I like that it helps simplify tasks at work and be more efficient
What do you dislike about the product?
I think it's a very comprehensive artificial intelligence, I haven't found what I don't like yet
What problems is the product solving and how is that benefiting you?
Automates tasks, provides advanced models, and generates a business-focused approach to the market
juan felipe p.
Advanced AI and seamless integrations in any system
Reviewed on Oct 20, 2026
Review provided by G2
What do you like best about the product?
What I value most about H Company is its capability as an agent platform and as a research lab in artificial intelligence. Regarding integrations and workflow improvement, the greatest benefit is that it works in any system without needing to rebuild our current infrastructure. This brings enormous value because it allows us to integrate advanced Artificial Intelligence directly into our processes, without technical frictions or complex migrations.
What do you dislike about the product?
What I like least is that the user interface (UI/UX) can be complex and unintuitive for users without a technical profile. This negatively affects the initial performance of the team, as the learning curve is steep. Additionally, the platform's cost (Pricing/ROI) can be difficult to justify for small companies, especially during the first few months. To improve this, I suggest implementing a much more guided training and initial support program, with step-by-step tutorials to help accelerate tool adoption and reduce friction at the start.
What problems is the product solving and how is that benefiting you?
Before using H Company, our situation was complicated because we needed to implement advanced artificial intelligence, but the technical barrier was very high. We struggled with complex integrations that required redoing our infrastructure, but now we can use their agent platform that works in any system without needing to rebuild our tech stack. This has resulted in a much faster implementation, saving us weeks of development work and significantly reducing the operational costs associated with system migration.
Uri L.
Easy-to-Use Agent That Saves Hours on Website Research
Reviewed on Oct 20, 2026
Review provided by G2
What do you like best about the product?
Ease of use is what stands out most. I work in B2B sales for an ad tech company, and I rely on H Company’s agent to go through my target brands’ websites, see whether they have online stores, find out which ad pixels and tags they use, gather contacts from their marketing teams and compile it all into a sheet that flows into my CRM. Learning which brands already do retargeting, and with which provider, gives me a strong angle for my opening message. It saves me hours of manual checking, lets me cover full markets in one go, and I simply describe what I want in plain language. Of the similar tools I’ve tested, this one was the quickest to get going with.
What do you dislike about the product?
Although it’s more user-friendly than other agents I’ve tried, it still needs some setup at the start to get the best results. Some websites are still difficult, as captchas, pop-ups and slow pages can interrupt the agent. Results can also differ between runs, and occasionally a task stops partway through, so I still check the output and repeat a few sites. These are common issues for browser agents right now, but they mean it’s not completely hands-off yet.
What problems is the product solving and how is that benefiting you?
H Company helps me turn large brand lists into leads that are ready to work. Without it, I’d need to visit every site, review its setup and copy the information manually, which isn’t realistic across a whole country. Since the agent does the heavy lifting, I can evaluate many more accounts in far less time and prioritize the ones with the best opportunity. The outcome is a healthier pipeline and outreach that matches each brand’s current situation.