H makes Agentic AI a reality with Runner H
H has announced the launch of Runner H, a first cloud-based web agent. With the beta release of Runner H 0.1, H is breaking through the limitations of plateauing scaling laws, taking a significant step towards artificial superintelligence (ASI).
“We are thrilled to bring agentic AI to market with Runner H,” said Charles Kantor, CEO of H. “This is about empowering people to harness AI like never before. Runner H allows users to automate workflows, streamline tasks, and own the web.”
Agentic AI is revolutionising how we approach repetitive and manual tasks. H leverages its proprietary foundation and action models to deliver advanced agents capable of reasoning, planning, and execution. These agents automate complex, multi-step, repetitive workflows while remaining under human oversight, making them indispensable tools for businesses and individuals alike.
“Runner H is more than just a productivity tool,” Kantor added. “It’s about empowerment – helping people focus on what matters most by automating the mundane. It frees time for creativity, innovation, and meaningful human connections.”
Designed for versatility, Runner H can integrate seamlessly with multi-system and legacy solutions in large enterprises while also offering entrepreneurs a virtual team of agents. Whether handling routine tasks or executing intricate QA processes, Runner H is paving the way for a new era of human-machine collaboration.
What can Runner H do?
Runner H is addressing the disruption, vertical by vertical, of billion dollar markets such as:
Robotic Process Automation (RPA): Automating Hiring Processes with Ease
Runner H enables companies to automate their entire recruitment process with a single prompt. From posting job descriptions to aggregating resumes and sending tailored follow-ups, Runner H eliminates manual effort. It enriches applicant data with insights from LinkedIn and other platforms, updates CRMs automatically, and even handles onboarding. With Runner H, businesses can cut weeks of work into moments, saving time and resources while finding the perfect candidate faster than ever.
Quality Assurance (QA): Reimagining Entire e-commerce funnel testing
Testing websites and applications can be time-consuming and resource-intensive. Runner H seamlessly adapts to user interface changes, automates repetitive testing processes, and navigates complex workflows with ease – whether for validating page availability, simulating real user actions, or ensuring compatibility across payment methods. By reducing maintenance burdens, it frees developers to focus on innovation and creativity, driving value where it matters most.
Business Process Outsourcing (BPO): Taking Control of Billing Workflows
Reducing inefficiencies in billing workflows – for example in dental insurance – requires time and money. Runner H can empower businesses to reclaim these workflows by automating the most tedious tasks, such as fetching insurance plans, compiling notes, analysing and submitting claims, and tracking reimbursements – all with precision. By streamlining these processes, Runner H eliminates outsourcing dependencies, reduces delays, and helps businesses take control of their financial operations.
The Competitive Edge of Runner H 0.1
The agent Runner H 0.1 delivers state-of-the-art performance and outperforms Anthropic’s Computer Use by 29% in the public benchmark WebVoyager. Underlying this technology, H’s compact models (LLM – Runner’s brain, and VLM – Runner’s eye, both 2B parameters) are also surpassing larger alternatives from competitors like Mistral and Meta. This success demonstrates the potential of smaller, more focused models to outperform generalist models at a fraction of the cost.
H’s two-billion-parameter model performed extremely well on an average of code and function calling, outperforming much bigger models. H-LLM is the backbone of H-VLM and can also be used in H agents for text-only roles.
H trained and specialised 3B parameters VLM to perceive, understand, and interact with graphical and text elements. H-VLM is by far the strongest small model in localisation based on the Screenspot’s benchmark (for graphical user interface actions), outperforming the likes of GPT4o (OpenAI), Sonnet 3.5 (Anthropic), Pixtral Large (Mistral), Llama (Meta). Impressively, H model is much more accurate than the very large generalist models, while being orders of magnitude cheaper and faster to serve.
By focusing on the web as its initial environment, Runner H delivers immediate value in areas like web testing, process automation, and outsourcing. The ultimate vision is universal automation: AI agents capable of navigating any graphical interface.
“Today’s large language models are just one piece of the puzzle,” said Kantor. “With Runner H, we are opening a new era in AI: one that takes action in the real-world. Agentic AI isn’t just fascinating, it is truly transformative for the Human-Machine interface”
This is the first step in H’s journey to democratise AI Runners.
“Runner H is just the beginning,” said Kantor. “We are excited to start with the web and expand to other environments. The future of automation is limitless, and we are proud to lead the charge. Looking forward to the future where people will put products like Runner H to automate for them”
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