Planner / worker patterns
Supervisor, swarm, and graph-based topologies.
AI Agent Development
Multi-Agent Orchestration
Coordinated agent teams that get real work done.
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Hierarchical and peer-to-peer agent meshes that decompose objectives, delegate, and reconcile results across specialized agents.
Capabilities
What we build
Shared state
Durable workflow state with replay and time-travel debugging.
Conflict resolution
Voting, arbiter agents, and deterministic tie-breakers.
Backpressure & retries
Token, cost, and latency budgets enforced per task.
Outcomes
Measured results
5x
Throughput vs single agent
40%
Token cost reduction
<2s
P95 step latency
Why nexgts
Why teams pick us
- Reference architectures for finance, ops, support
- Built on LangGraph, AutoGen, CrewAI
- Production observability baked in
Use cases
Where it fits
Underwriting committeesResearch desksMulti-channel support podsLogistics control towers
Ready to put Multi-Agent Orchestration into production?
We scope, build, and operate — usually in weeks, not quarters.
Start a conversation