Make expertise visible
Capture the steps, timings, decisions and recovery actions within a process. Eclipse Creator provides the simulation and procedural data foundation.

Human process intelligence for life sciences
Turn human execution into manufacturing intelligence. FourPlus is building HPIL: the data layer that makes process expertise, decisions and exceptions usable by AI.

01 / The missing intelligence layer
Every process contains human decisions, adaptations and expertise. Much of that knowledge never reaches your data systems. We’re building the Human Process Intelligence Layer to make it usable.
Introducing HPIL
A connected understanding of how processes are performed, why decisions are made and where improvement is possible.
Capture the steps, timings, decisions and recovery actions within a process. Eclipse Creator provides the simulation and procedural data foundation.
Organise observations into process and decision models, with context and provenance. Build an intelligence layer that AI can work with.
Bring process intelligence into process development and manufacture. We’re building HPIL to support operators through wearable AI, including smart glasses, strengthen quality decisions and build the execution data foundation for automation and robotics.
HPIL is in development, building on FourPlus’s existing life science platform, that connects immersive process replication, secure data architecture and AI models - turning human expertise into actionable process intelligence. We scope each engagement around the capabilities and evidence needed for your use case.
02 / Start with the outcome
Choose your priority. See the opportunity, the evidence to look for and a practical first step.
Operational performance
Reveal where execution differs between people, shifts and sites. Use that context to identify bottlenecks, preserve expertise and focus improvement work.
Discuss your process ↗Bring us a critical process where variation or delays affect performance. Together, we’ll establish a baseline and scope how HPIL could reveal the causes and support targeted improvements.
03 / A foundation in the real world
FourPlus brings life science expertise and software engineering together. We’ve built precise digital replicas of real processes and laboratory operations in immersive environments. That experience provides the foundation for capturing the execution data other systems miss: what people do, the decisions they make and how they respond to exceptions.
Explore Eclipse CreatorThe role of Eclipse Creator
Simulation lets us replicate process steps, decisions and exceptions in a controlled environment. Eclipse Creator is one foundation for generating that data and capturing it accurately, reproducibly and in a structured, interoperable format. HPIL is the broader intelligence layer built around it.
Process replication, simulation and procedural data generation through Eclipse Creator.
Connecting simulated and wearable-captured execution data to fill gaps, capture real-world deviations and power AI operations support, quality intelligence and automation.
A clearer starting point
HPIL is intended to connect procedural data—how work is performed and decisions are made—with the records your organisation already holds. The first step is to identify which process evidence is missing and where it could support better decisions. Integration with your systems would be scoped for the engagement.
Yes. Eclipse Creator and simulation provide a way to represent processes and generate procedural data, including decisions, variations and exception handling. HPIL uses structured procedural intelligence to support AI, operations, quality and automation.
HPIL and its AI applications are being developed. FourPlus’s existing life science platform provides the starting point. Contact us to discuss current capabilities, potential pilots and the development path for your use case.
Bring one process and one business question. We can discuss the available data, agree what success would look like and define a suitable first engagement, including governance, review and validation requirements.
Your next step
Tell us where expertise, process variation or missing data is holding you back. We’ll explore a practical starting point together.
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