A single agent holds one context window and one set of instructions, and past a certain complexity it starts dropping the thread. Orchestration splits the work across specialists with a supervisor deciding who runs when, explicit handoffs so nothing is assumed, and one trace across the whole run so a failure is attributable to a step rather than to the system.
01 / ORCHESTRATION
For work that outgrew one agent. Specialist agents under a supervisor, explicit handoffs, and one trace across the whole run.
Usually shipped with
Not a bundle to buy. Whichever you start from, the engagement covers what the build actually needs.
02 / Scope
03 / Outcomes
04 / Deliverables
05 / Stack
06 / Why us
The orchestration layer is where multi-agent systems actually fail, and it is the part most builds leave until last. Getting it right first is why our runs stay debuggable as the agent count grows.
A chain is only as good as its weakest step, and a step nobody measured is the one that breaks. Each specialist gets its own success criteria before it joins the chain.
On Solarpunk, dynamic tool discovery across more than a hundred tools stayed debuggable because the whole run reads as a single trace rather than as five disconnected logs.
Week 1
We write down the steps a person actually performs, where judgment enters, and which parts genuinely need separate context. Most work that looks like it needs five agents needs two and a better tool.
Week 1-2
The supervisor decides who runs and when, and it is the part that fails quietly. We build and test it against recorded runs before any worker exists.
Week 2-4
Each specialist ships with its own tool scope and its own success check. A worker that cannot be evaluated alone cannot be trusted in a chain.
Week 4-6
One trace across every agent, with handoffs and shared state visible, so a failure is attributable to a step rather than to the system.
Executive operationsIn production
A 24/7 AI chief-of-staff for founders and leadership teams. An agent that plans, acts, and self-corrects across email, calendar, docs, CRM, and ERP through a secure tool layer, runs recurring workflows end to end, and never exposes a credential.
Cloud infrastructureIn production
A DevOps agent that turns plain-English infrastructure requests into validated cloud templates and safely applies them to live AWS accounts, planning against real limits and quotas, validating in a loop, and tagging every resource it creates.
A supervisor decomposes the goal, assigns work to specialised workers, and merges what comes back into one answer rather than four. Workers share state and hand off to each other directly instead of routing everything through the supervisor. What makes it survivable in production is that the budget covers the entire run rather than each agent separately, and a detector stops a run that has stalled or started looping — the two failures that turn a multi-agent demo into an unbounded bill.
Production-proven
Built by engineers who've already shipped this in production.
You usually do not. The honest test is whether the steps need genuinely different context or different tools. If one agent is failing because the prompt is long, the fix is a better tool or a smaller scope, not a second agent.
Often less. Specialists use smaller models for the steps that do not need a frontier one, and the supervisor stops work early when a step fails, rather than paying for a full run that was doomed at step two.
The step retries in isolation. Failure isolation is designed in from the start, so a single bad tool call does not sink a run that was otherwise fine.
Yes. The orchestration layer has no hosted dependency; it runs wherever your other services run.
Multi-step agents for workflows where a wrong action is expensive to undo.
View serviceMCP servers that expose your systems to agents, without handing over credentials.
View serviceTracing and monitoring for LLM and agent systems, for teams who cannot explain what happened.
View serviceTell us where you are and what you're trying to ship. We'll come back with a concrete plan, the right engineers, and a path to production, not a generic pitch.