Build the orchestration layer that coordinates your AI agents. We design and develop multi-agent platforms with task routing, shared state management, failure recovery, human-in-the-loop approvals, and real-time monitoring — the infrastructure that makes multi-agent systems production-ready.
Proof-First Delivery
What We Offer
Each module is designed as a production block with integration boundaries, governance hooks, and measurable outcomes.
Design the coordination layer — task routing, agent selection, priority queuing, and dependency resolution. Define how agents collaborate, delegate, and escalate across your workflows.
Build persistent state stores with event sourcing, shared memory for inter-agent context, checkpointing for long-running workflows, and rollback capability. The backbone that keeps multi-agent systems coherent.
Implement intelligent task routing — skill-based agent selection, load balancing, cost-aware routing (cheaper models for simple tasks), and fallback chains when primary agents fail.
Build approval gates, escalation workflows, and review queues for high-stakes agent actions. Configurable policies per action type, notification integrations, and audit trails for compliance.
Real-time dashboards tracking agent performance, task completion rates, latency, cost per action, error rates, and workflow bottlenecks. Distributed tracing across multi-agent chains with alerting.
Circuit breakers between agents, retry policies with backoff, dead letter queues, idempotent actions, and graceful degradation. Your orchestration platform stays reliable even when individual agents fail.
Delivery Proof
Selected engagements that show architecture depth, execution quality, and measurable business impact.
Delivery Advantages
Most teams can build one agent. We build the platform that manages dozens — routing, state, monitoring, and recovery. The hard infrastructure work that makes multi-agent systems production-viable.
LangGraph, CrewAI, AutoGen, or custom — we pick the right orchestration approach for your use case. No vendor lock-in, and we can combine frameworks where it makes sense.
We have shipped multi-agent systems handling thousands of daily tasks with SLA requirements. We know the failure modes, scaling bottlenecks, and monitoring gaps that only show up in production.
Orchestration platforms that integrate with your existing message queues, databases, APIs, and CI/CD pipelines. Not a standalone tool — a layer that fits into your architecture.
Use Cases
Each use case links to a dedicated implementation page so teams can review architecture patterns in detail.
Route tickets to specialized agents — billing, technical, returns — with escalation to humans and shared customer context across the entire resolution chain.
Coordinate extraction, classification, validation, and enrichment agents in sequence with quality checkpoints and human review for edge cases.
Orchestrate research, enrichment, scoring, and outreach agents that work together to qualify leads and personalize engagement at scale.
Coordinate monitoring, diagnosis, remediation, and communication agents for automated incident response with approval gates for production changes.
Pipeline of research, drafting, editing, compliance review, and publishing agents with human approval at quality gates.
Orchestrate data extraction, reconciliation, anomaly detection, and reporting agents with audit trails for regulatory compliance.
Execution Framework
Map your multi-agent workflows, identify coordination points, define state requirements, and establish SLAs
Design orchestration topology, state management, routing logic, and integration architecture
Implement orchestration engine, agent connectors, monitoring, and human-in-the-loop workflows in agile sprints
Load testing, failure injection, observability tuning, runbook creation, and production deployment
FAQ
Explore related services
Tell us about your agent workflows — we'll design the orchestration architecture covering routing, state management, monitoring, and failure recovery.