The intelligence moves.
Your data doesn't.
The central operating system for government health agencies and large commercial pharma and hospital enterprises.
Sovereign cloud
In-country tenancy under your jurisdiction — including Government Commercial Cloud.
On-premise
Installed on the hardware and identity stack your team already operates.
Air-gapped
No outbound path at all. The models come in; nothing goes out.
Three commitments, one platform.
Eclypse is built to be the central operating system for complex, data-driven healthcare institutions — bridging raw data and actionable decisions, not a point solution for one team's use case. One orchestration engine, a Validator Framework mapping your institution's know-how and assets, and a library of domain agents — built with deep domain knowledge, installed inside your environment, and run by your own team.
Your data stays yours.
Maximal control over your operations and proprietary data. Nothing you run through Eclypse trains a public or foundation model — full stop.
A map of your institution, not just your documents.
A governed digital twin of your organisation's know-how, physical assets, and data — the substrate the engine orchestrates machine learning against.
An engineering partner, not a vendor.
We are an elite engineering partner — not a traditional academic lab or a consulting IT vendor. We build, deploy, and stay accountable for the outcome.
One engine, one library, every workflow.
The orchestration engine plans and runs multi-step work over small and large models, calling registered modules and domain agents. It is the same engine in a pharma market-access team, a regulator's cloud, and a hospital pharmacy.
The Validator Framework
A governed digital twin of your institution: trials, real-world data, literature, physical assets, and operational know-how ingested once, harmonised to one schema, provenance tracked on every fact.
The orchestration engine
Plans the task, retrieves the right evidence, routes across SLMs and LLMs, calls modules and agents, and checks its own output before a human ever sees it.
Expert workspace & outputs
Specialists steer agents, inspect reasoning, and approve deliverables — dossiers, submissions, forecasts, briefings — every claim traced to source.
The platform does the work. Deployment just makes it fit.
You are buying our technology, not a team of contractors. Our engineers are how it gets configured to your regulated reality in weeks rather than quarters — then they step back, and the system is yours to run and extend.
How our deployments run →Install the platform
The engine, registry, agents, and knowledge base deploy into your environment as a working system. Our engineers sit with your experts to point it at the real bottleneck — not at a discovery deck.
Compose, don't rebuild
The workflow is assembled from task modules and healthcare agents already in our registry — extraction, harmonisation, retrieval, drafting, verification — so only what is genuinely new gets written.
Hand over the controls
The deployment becomes self-serving. Your team composes new workflows in the platform, registers its own modules and tasks, curates its own knowledge base, and keeps full audit trails — without waiting on us.
The compounding effect. Four engagements in, a new work package is mostly configuration: the modules exist, the agents are trained on the domain, the deployment pattern is proven.
The asset that compounds.
Every capability we build is registered as a task module or agent — versioned, permissioned, and callable by the engine. New workflows are composed from what already exists.
// four families, one registry
// reused, not rebuilt
Ingest & structure
Reason & retrieve
Domain agents
Govern & deliver
Representative modules. The full registry is reviewed during scoping.
A platform your team runs without us.
Success is your experts building the next workflow themselves. Once the deployment is live, the engine, the registry, and the knowledge base are operated by your team — we are there for the hard new capability, not for every request.
Not a consulting dependency. Same engine, same registry, same upgrade path for every client — your instance is configured, not custom-forked.
Compose your own workflows
Chain registered tasks and agents into new pipelines in the workspace, test them against real cases, and promote them when your reviewers sign off.
Register your own tasks
Your data scientists publish their own models, scripts, and internal APIs into the registry as first-class modules the engine can call, with the same versioning and permissions.
Build and own the evidence layer
Point the platform at new sources, define the schema and access rules, and grow your governed knowledge base — it stays your asset, in your environment, readable by your own tools.
Tune agents to your SOPs
Adjust personas, templates, review gates, and approval thresholds to match how your function actually works — configuration your team controls, not a support ticket.
One platform, wherever complexity lives.
Government health agencies. Global pharma. Hospital enterprises. Different institutions, the same underlying problem: turning fragmented, regulated data into a decision someone can act on and defend. The four areas below are the same platform, applied.
Market access & HEOR
01One governed evidence base; value dossiers, HTA submissions, and localised value stories generated on demand, market by market.
Clinical trials
02Trial feasibility and patient pre-screening over de-identified real-world records and imaging — more eligible patients found, fewer screen failures.
Supply chain & hospital operations
03Stock, dispensing, and procurement unified across systems; demand forecast, orders recommended with reasoning, disruption watched. The same modules run outside healthcare — any high-value inventory.
Government & regulators
04Sovereign workflow automation inside government cloud — submission extraction, compliance verification, advertisement surveillance, grounded product-information retrieval.
Four live engagements. One platform.
Evidence on demand across 8 markets
One governed knowledge base; regional dossier, localised global dossier, 8 local value stories, continuous SLR.
Sovereign automation, work package by work package
Extraction and compliance live in Government Commercial Cloud; surveillance and PV retrieval in build.
Agentic inventory intelligence
Ingest → harmonise → forecast → recommend → monitor, built entirely from registered tools.
AI pre-screening for intermediate AMD
Records screening plus OCT segmentation over de-identified data from a European academic eye centre.
Sovereignty is the default, not the upgrade tier.
Deployment inside your infrastructure is the default, not a premium tier. Regulated evidence, patient records, and submission data stay where your legal team already cleared them.
Air-gapped, on-prem, or your sovereign cloud. No data crosses a border you didn't choose.
Every output resolves to its source document, version, and the agent run that produced it.
Expert review and approval workflows are structural. Nothing is auto-selected or auto-published.
Sits on the infrastructure and identity you already run — role-based access, immutable logs, BAA-ready.
Designed from the ground up for the most demanding regulatory and data-residency requirements.
Start with one workflow. Keep the library.
A first engagement is scoped as a single work package with a measurable outcome. Bring us the bottleneck your experts complain about most.
ECLYPSE
AI
Our proprietary AI orchestration platform for healthcare: one engine, a registry of reusable task modules and domain agents, and a governed knowledge base — deployed inside your walls and run by your team.