Our engine, our registry, our runtime — installed as your system.
This is AI workflow automation for healthcare, and every part of it is Eclypse-built technology, not an integration of someone else's tools: the engine that plans the work, a Validator Framework mapping your institution's data and know-how, the registry that makes every capability reusable, the workspace where experts steer it, and the sovereign runtime that keeps regulated data in place. After handover, your team operates and extends all of it.
How a request becomes a defensible deliverable.
Intake & plan
The engine decomposes the request into tasks, selects modules, and picks the model class each step needs.
Context engineering
Hybrid retrieval over the Validator Framework — the governed digital twin of your institution's data, assets, and know-how — pulls only the evidence the task actually requires.
Agent execution
Domain agents draft, calculate, and cross-check in parallel, each constrained to its registered tools.
Verification
A second model class plus rule checks test claims, statistics, and references before anything surfaces.
Expert sign-off
Your specialist reviews reasoning and sources in the workspace, then approves — and the run is logged.
Every capability is registered, versioned, reusable.
Modules are independently testable and permissioned. The engine calls them, engineers compose them, and your governance team can see exactly which ones touched a given output.
Versioned
A module change is a controlled release with a diff, not a silent prompt tweak. Outputs stay reproducible.
Permissioned
Each module declares the data it may touch. Agents can only call what their role allows.
Portable
The same module runs in a pharma tenancy, a hospital, or a government cloud — configuration, not a rewrite.
Ingest & structure
Reason & retrieve
Domain agents
Govern & deliver
Representative modules. The full registry is reviewed during scoping.
Agents that already speak your function.
A general assistant has to be taught the format, the audience, and the rules every time. Our agents carry the conventions of the function — and the constraints it is judged against.
Scientific response documents, MSL field Q&A, congress and advisory-board narratives — on-label, referenced, tone-controlled.
Value dossiers, HTA and AMCP submissions, budget-impact and cost-effectiveness narratives with the underlying evidence attached.
CTD module drafting, clinical overviews, health-authority responses, labelling consistency and statistical claim checks.
Signal synthesis, aggregate safety report support, benefit-risk narratives, grounded product-information retrieval.
Non-clinical hospital and supply workflows: forecasting, order recommendation, disruption monitoring, always explainable.
Built so your team can extend it without us.
The platform is not a black box we operate on your behalf. Once deployed, orchestration, the registry, and the knowledge base are administered by your own people — and every extension they make gets the same versioning, permissions, and audit trail as ours.
Your own workflows
Compose new pipelines from registered tasks and agents, run them against test cases, compare outputs, and promote to production behind your own approval gates.
Your own modules and models
Register internal scripts, statistical models, and in-house APIs as first-class modules. The engine calls them exactly as it calls ours, under the permissions you set.
Your own governance
Roles, review gates, retention, and model routing policies are configured in your instance by your administrators — not requested from a vendor queue.
You build the evidence layer. You own it.
We stand up the first knowledge base with you. After that, adding sources is an operation your team performs — and the base remains a queryable asset inside your environment, readable by your own tools if you ever stop using ours.
Deployment models, all of them yours.
Sovereignty is not a feature tier — it is the default. Your operations and proprietary data are never used to train a public or foundation model, in any topology below.
Your sovereign cloud
In-country tenancy under your account and controls. Proven in Singapore's Government Commercial Cloud.
On-premise
Runs on your hardware behind your firewall, integrated with your identity provider and logging.
Air-gapped
No outbound connectivity. Local model serving, offline module updates on your schedule.
Site-resident data
For multi-site research, source data stays with the site; only de-identified, permitted derivatives move.
Common questions about the platform.
Does Eclypse train public or foundation models on our data?
No. Your operations and proprietary data are never used to train a public or foundation model, in any deployment topology.
What deployment models does Eclypse support?
Sovereign cloud (in-country tenancy, including Singapore's Government Commercial Cloud), on-premise behind your firewall, air-gapped with no outbound connectivity, and site-resident data for multi-site research.
What is the Validator Framework?
A governed digital twin of your institution — its data, physical assets, and operational know-how, harmonised to one schema with provenance on every fact. It is the substrate the orchestration engine plans and retrieves against.
Who operates the platform after deployment?
Your own team. Once deployed, the engine, the registry, and the Validator Framework are administered by your people, with the same versioning, permissions, and audit trail Eclypse itself uses.
What compliance standards does Eclypse align with?
ISO 27001 and SOC 2 alignment, GDPR and PDPA compliance, and HIPAA / BAA readiness — role-based access and immutable audit logs by default.
See how the same engine ran four very different deployments.
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.