Meridian deploys autonomous agents that plan, execute, and improve your team's workflows in the background — so the work keeps moving even when no one's watching.
Everything a teammate would need to get real work done — reasoning, memory, and the judgment to know when to ask for help.
Agents break a goal into steps, weigh trade-offs, and adjust the plan as new information arrives.
Every agent can call your APIs, fill forms, and trigger real actions across the systems you already run.
Context persists across sessions, so agents remember decisions, preferences, and prior outcomes.
Agents know their limits and route ambiguous or high-stakes moments to the right person, instantly.
Every decision is logged and explainable, with granular permissions for what each agent can touch.
Watch throughput, cost, and accuracy per workflow, and tune agents without waiting on an engineer.
Every workflow moves through the same five stages, whether it takes four seconds or four hours.
An event, schedule, or request starts the workflow — a new ticket, a form, a webhook.
The agent reads context, checks policy, and drafts a plan of the steps it needs to take.
It calls the right tools and systems, filling in the work a person would otherwise do by hand.
Results are checked against your rules; anything uncertain is routed to a teammate.
Outcomes feed back into memory, so the next run is faster and a little more accurate.
Connect Meridian to your stack in minutes — no migration, no rip and replace.
Notes on reasoning, memory, and building agents enterprises can trust.
A context window forgets on reset. Real autonomy needs memory that persists between runs — here's how we built ours.
A technical walkthrough of how an agent turns a goal into a verified plan of action, step by step.
What regulated enterprises ask for before they'll let an agent touch production — and how we answer.