On-Edge Simulations & Deep Research Flows
Run long research loops close to lab data, internal tools, and private compute. MirrorNeuron keeps simulation and discovery workflows durable on-edge first, with cloud deployment when scale or collaboration calls for it.
The Challenge
Scientific workloads and complex research flows often require tasks that execute over hours. A single drug discovery iteration might involve querying databases, running structural predictions, and evaluating results before planning the next step. Simulating an entire ecosystem involves large fan-out scale where thousands of entities interact.
Serverless architectures fail due to execution time limits. Custom monolithic runners lack the fault-tolerance to recover seamlessly if a single step fails halfway through a 12-hour job.
MirrorNeuron Capabilities
- Large Fan-out Scale: Spawn massive numbers of logical workers natively distributed across a BEAM cluster.
- Iterative Flow Control: Define multi-step graph bundles where agents interact, pass artifacts, and loop recursively.
- State Persistence: Redis-backed job state ensures your long-running computations survive process restarts and updates.
Featured Blueprints
Ecosystem Intervention Sandbox
A multi-region population simulation where regional agents, coordinator logic, and summary outputs help evaluate intervention scenarios over time.
View BlueprintDrug Discovery Closed Loop Lab
A long-running scientific pipeline that keeps generating, scoring, extracting, and reviewing candidate artifacts across repeated agent stages.
View BlueprintWhy simplicity matters for research teams
Scientific and research workflows are already complex enough. Teams often need durable execution near private research data without signing up for a much larger workflow platform. MirrorNeuron is positioned for that lighter on-edge path.