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Orchestrated swarms that solve complex problems.
When one agent isn't enough, you need a system. Kriyava designs role-decomposed agent fleets — researchers, executors, critics, routers — coordinated by a central orchestrator with shared memory and conflict resolution.
Most real business problems aren't single-step. Multi-agent systems handle inherent complexity by decomposing it — the way a team of humans would, but at machine speed.
Break the objective into specialist roles with sharp boundaries.
Plan-execute-reflect, debate, hierarchical, and hybrid topologies.
Agents collaborate via structured memory, not free-text chaos.
Critics, voting, escalation paths — quality stays high under disagreement.
Map roles, interfaces, and failure modes.
Build agents in isolation, eval each.
Wire orchestration, memory, conflict handling.
SLO-driven cockpit. Tune in production.
One call with a Kriyava AI architect. We map your highest-leverage workflow, scope a build, and ship something live before your next quarterly review.