Orchestrate
Turns the scientific goal into a task graph, delegates work, tracks state, and controls feedback loops.
Meet OrchestrateEasternDawn / agentic drug discovery
From question to candidate.
EasternDawn connects evidence, design, evaluation, and synthesis planning in one scientific workflow.
FROGENTFlagship multi-agent platform
5Scientific Design Engines
1Scientific Agent
The problem
Discovery fragments when context does.
Models, databases, evaluators, and handoffs can each solve a task while the scientific question disappears between them.
See where a connected system fitsFROGENT / flagship platform
One campaign record. Four coordinating roles.
FROGENT turns a scientific goal into an inspectable task graph and keeps evidence, candidates, scores, artifacts, failures, and handoffs in shared context.
Retrieve
Gathers literature, database records, structures, and project evidence while preserving provenance.
Meet RetrieveForge
Generates and refines candidates, then connects design decisions to synthesis planning.
Meet ForgeGauge
Runs quantitative in silico evaluation, exposes diagnostics, and returns evidence to the next decision.
Meet GaugeShared stateGlobal Context
Goal and priors · constraints · candidate registry · scores and diagnostics · artifact index
Explore the agent systemResearch proof
Architecture and evaluation stay open to inspection.
The supplied manuscript separates system architecture, task-specific benchmarks, and computational case studies. Each evidence layer keeps its own definitions and limits.
Manuscript figure / architecture
Four agents share one scientific record
Inspect agent responsibilities, Global Context, and the connected model and tool surface.
View figure
Manuscript figure / evaluation
Eight benchmarks test distinct tasks
Read definitions, data sources, task-specific measures, and the boundary of each reported result.
Explore the evidenceComputational evidence boundary. Reported rankings, docking results, predicted properties, and generated candidates do not establish experimental efficacy, safety, affinity, or clinical performance.
Selected use cases
See the workflow move across modalities.
Heart-failure discovery cycle
A computational trail from disease question through target selection, molecular design, evaluation, optimization, and retrosynthesis.
Read the casePeptide optimization cycle
A design–evaluate–refine loop for peptide candidates under one consistent in silico protocol.
Read the caseSmall-molecule optimization cycle
Structure analysis, analogue generation, computational evaluation, and synthesis-path repair using retrieved evidence.
Read the caseWork with EasternDawn
Bring the question. Keep the constraints visible.
Prepare the scientific goal, evidence already in hand, hard constraints, and the validation decision that should follow.