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.
Built from the module registry below, these two capabilities have matured into their own named products.
A quality-gated medical evidence knowledge base — publications, trials, real-world evidence, regulatory and payer documents — that grounds every agent's analysis, including Agent HERO's. Not every document gets in; each one has to meet a quality bar first.
Learn more about MeSI →A suite of domain agents — medical affairs, HEOR, regulatory, pharmacovigilance, and commercial — covering pharma, medical device, and regulatory work from discovery through post-market. Its HEOR module alone: define the question, and it retrieves the evidence, drafts the model, sources every parameter, and produces a decision-ready output for your health economist to review.
Learn more about Agent HERO →A health-economic analysis grounded in MeSI's quality-gated evidence, run through Agent HERO's HEOR module — from question to decision-ready output in days, not months.
The engine decomposes the request into tasks, selects modules, and picks the model class each step needs.
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.
Domain agents draft, calculate, and cross-check in parallel, each constrained to its registered tools.
A second model class plus rule checks test claims, statistics, and references before anything surfaces.
Your specialist reviews reasoning and sources in the workspace, then approves — and the run is logged.
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.
A module change is a controlled release with a diff, not a silent prompt tweak. Outputs stay reproducible.
Each module declares the data it may touch. Agents can only call what their role allows.
The same module runs in a pharma tenancy, a hospital, or a government cloud — configuration, not a rewrite.
A general assistant has to be taught the format, the audience, and the rules every time. Ours carry the conventions of the function already.
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.
Compose new pipelines from registered tasks and agents, run them against test cases, compare outputs, and promote to production behind your own approval gates.
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.
Roles, review gates, retention, and model routing policies are configured in your instance by your administrators — not requested from a vendor queue.
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.
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.
In-country tenancy under your account and controls. Proven in Singapore's Government Commercial Cloud.
Runs on your hardware behind your firewall, integrated with your identity provider and logging.
No outbound connectivity. Local model serving, offline module updates on your schedule.
For multi-site research, source data stays with the site; only de-identified, permitted derivatives move.
No. Your operations and proprietary data are never used to train a public or foundation model, in any deployment topology.
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.
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.
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.
ISO 27001 and SOC 2 alignment, GDPR and PDPA compliance, and HIPAA / BAA readiness — role-based access and immutable audit logs by default.
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.