DeltaWaveOS technology
DeltaWaveOS connects scientific reasoning, computational design, secure distributed compute, data, and laboratory execution in one environment.
GPT
ENV MOLECULAR OPT
DEPLOY PRIVATE CLOUD
Compose the environment
DeltaWaveOS keeps the scientific workflow portable while letting each organisation select its models, learning environment, and deployment boundary.
Anatomy of the system
Each layer has a distinct responsibility, from model and context governance through execution and experimental evidence.
Route scientific work across hosted, open-weight, or customer-adapted models without binding the workflow to a single provider.
The operating stack
EVE coordinates intelligence, PCP carries execution, and EVE-LAB returns experimental evidence to the next decision.
EVE coordinates specialist agents, computational tools, evidence, people, and decisions in a shared workspace for scientific exploration and experimentation.
PCP connects heterogeneous infrastructure for training, reinforcement learning, inference, and scientific execution without forcing every workload into one central cluster.
EVE-LAB links instruments, protocols, automation partners, and experimental results back into auditable scientific workflows.
Selected research
Research across molecular design, biological representation learning, multi-omics, and auditable scientific agents informs the platform.
Technical due diligence
DeltaWaveOS is designed to fit the organisation’s scientific and deployment boundary rather than require the boundary to fit the platform.
The organisation chooses the models, deployment boundary, data plane, and connected services. Scientific data and execution can remain in customer-controlled infrastructure.
Yes. DeltaWaveOS can operate in disconnected environments using locally available models, tools, data, compute, and laboratory integrations.
Yes. Model routing is separated from the scientific workflow, allowing approved hosted services, open-weight models, and customer-adapted models to serve different tasks.
Customer-specific environments can express the objectives, evidence, constraints, and rewards that matter to a scientific programme while preserving the surrounding workflow contract.
PCP provides a portable execution contract across heterogeneous tools, compute, data, and laboratory services so capability can be distributed without losing traceability.