Tooling that puts a team of AI helpers to work in parallel. Split large, complex jobs into discrete parts, run them simultaneously, and consolidate the structured results.
Break free from sequential API bottlenecks. Distribute massive workloads across multiple independent agents to process data arrays or complex logic paths instantly and concurrently.
Intelligently collect results from diverse asynchronous nodes, resolving conflicts and compiling them into a unified, type-safe JSON data structure ready for downstream use.
Isolate failures to individual worker nodes. If one agent encounters a context error or rate limit, the orchestration layer retries the isolated chunk without failing the entire batch.