The only AI platform built for computer use, on any interface, any system.
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#1
15x
$220M
No API. No connector. No reconstruction.
H Platform orchestrates workflows across your entire ecosystem, including legacy systems, mainframes, and desktop apps with no API. When a step requires it, agents switch to computer use and operate directly on the interface, the way a human would.
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Multisystem. One agent across your entire ecosystem, legacy included.
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UI reasoning. Adapts its plan when a step fails or a screen changes.
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Routine learning. Show it once. It replays autonomously, no retraining needed.
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Parallelization. Volume scales without adding complexity.
Deploy on sensitive workflows with full confidence. See not just what the agent did, but why, across every system it touched.
Full traceability
Every action logged, timestamped, replayable. The full reasoning sequence behind every decision, across every system touched.
Strict perimeter control
Agents stay within authorized boundaries. When something falls outside scope, they escalate automatically. The connection is initiated only from your side.
Data protection
Screenshots pre-processed and sensitive fields redacted before any data leaves your perimeter. Audit-ready exports for regulatory compliance.
SOC 2 certified
GDPR compliant
ISO 27001
H owns the full stack. The model, the orchestration, the agents. One team accountable for the result, not just the software.
Data sovereignty
Your data never transits third-party models. H owns the entire inference chain. On-premise and sovereign cloud available. Built in Europe, for European enterprises.
Predictable costs
Inference costs are predictable. No surprise billing. No exposure to third-party pricing changes.
Deployment velocity
One stack, one team, zero external dependencies. Faster iterations from scoping to production.
01 SCOPING
We map your process.
H engineers map your environment and identify the highest-value workflows.
02 POC
We prove it in your systems.
Within days, H engineers are on-site working directly alongside your teams. They deploy agents on your actual systems, embedded in your existing processes, to deliver a solution built entirely around the way you work.
03 PRODUCTION
We scale what works.
We scale what works across processes, teams, and geographies, with H engineers remaining embedded to ensure continuity.
ENERGY
Back-office automation on systems with no API access.
A major European energy operator automated complex back-office workflows across legacy systems, no API required. Minutes instead of hours.
TELECOM
Browser-based operations at scale. First result in under two weeks.
A leading European telecom deployed H agents across customer operations. No backend integration, no API work. First result in under two weeks.
NON-PROFIT
13,000 funding sources, continuously monitored.
Handicap International used H to monitor 13,000 funding sources continuously, a process no structured data source could support.
Proven in enterprise production.
Holo3 is H's proprietary Vision Language Model, trained exclusively on enterprise environments and real business interfaces, including systems no other model has ever seen.
Do you support single-tenancy or on-premise deployment?
Our default is multi-tenant and for most enterprise customers, it is the right choice. Each customer has dedicated encryption keys, dedicated API keys, and strict logical isolation. SOC 2 Type I and II certified, ISO 27001 in audit. For organizations with specific regulatory or data sovereignty requirements, we assess on-premise and private cloud deployment on a case by case basis. Our engineers will help you identify the right model during the first conversation.
How do H agents connect to and interact with our existing systems?
Two integration paths, depending on what your systems expose. If no API is available, H agents interact directly through the user interface, reading screens, navigating applications, and completing tasks the way a human operator would. This is the primary unlock for legacy systems, mainframes, and internal tools that were never designed for automation. If an API exists, agents use standard integration patterns. No changes required to your existing stack. In both cases, agents authenticate with standard Active Directory credentials and inherit exactly the read and write permissions you assign to that account. No admin rights. You define the scope.
How do you manage the confidentiality of data used by the models?
Four layers: encryption at rest and in transit, zero retention during inference, no training on your data, and tenant isolation with separate keys per customer.