Moveworks proved enterprises will run agentic AI across the whole workforce — and ServiceNow paid $2.85B for it. orqo plays in that tier, with a structured knowledge graph, build-your-own integrations, and split-plane data control. What differs is how you pay, what your agents ground answers on, and who gets to start.
MoveworksNo strawman: for one job — internal employee support at large scale — it is excellent.
MoveworksIt auto-resolves the high-volume IT and HR requests (access, passwords, policy lookups) close to the day it's connected, grounded in your own ServiceNow, SharePoint, and Confluence knowledge and your existing permissions. It ships hundreds of pre-built actions, a deep catalog of connectors, and — now inside ServiceNow — an obvious home for ServiceNow shops. If your problem is "deflect employee tickets across twenty thousand staff," that is precisely what it was built for.
orqoIt is built for a wider job, on a different economic model. Here's where the two diverge.
MoveworksIt is licensed per employee across your entire headcount, whether or not they ever open it, on enterprise contracts with multi-week professional-services onboarding, and it's built for organizations of roughly a thousand people and up.
Per-employee licensing on total headcount is a large fixed bill that doesn't move with usage. Below about a thousand employees the economics rarely work — so smaller teams and individuals simply aren't served.
orqo meters agentic activity — the work an agent actually does — and you can bring your own model keys and pay your provider directly. Nothing is owed for the thousands of seats that never run a workflow. The same system scales down to an organization of one and up to ten thousand.
orqoFor an enterprise the combination is the point: usage-based pricing on top of an engine engineered to burn fewer tokens compounds into a structurally lower bill — and fewer tokens means less data-center compute, and less energy. How the token math works · How compaction works
Both systems answer from your knowledge. What differs is what each one builds out of it.
MoveworksIt indexes your documents into snippets and retrieves the closest match — enterprise search, the mature form of RAG. It works until the answer depends on how two facts relate, or on the exact wording of a clause.
orqoIt classifies your material into a formal, typed knowledge graph — 57 knowledge types and 48 typed relations drawn from decades of educational-science research — so agents navigate by meaning (deeper, why, examples, the basis-for) in two or three hops, instead of re-searching from zero each time.
orqoWhat comes back is your own wording. The typed graph is a navigation layer over your source material, never an AI-written summary standing in for it — so every answer traces to the clause it came from, and you can go read that clause. In law, medicine, finance or compliance that is the whole game: an answer drawn from a paraphrase is a liability, not a shortcut. It is also what makes the graph cheap at volume — agents traverse to the passage instead of retrieving and re-reading from zero on every question, which is where the inference bill on a large corpus actually goes. Inside the knowledge graph
MoveworksIt maintains a catalog of proprietary connectors; when you need one it doesn't have, you wait for their roadmap.
orqoThe Integration Builder researches the API and builds the connector on demand — two-way, with inbound triggers — and ships it as an installable Skill. Reaching a new system of record becomes a question of available API specs, not a multi-quarter catalog program. The integration only you need, the one no catalog will ever carry because it's yours, is exactly the one orqo is built to make. How integrations get built
MoveworksIts pre-built depth lives in one band: internal employee support. That's its strength and its ceiling.
MoveworksIt can't be pointed at the work outside that band — a client-facing pipeline, a due-diligence review, a research desk, a content engine.
orqoIt is domain-agnostic: you describe the work in plain language and the Workflow Assistant builds it, on your own knowledge, in your own channels. Same governance — roles, sharing, audit, private by default — whether the job is IT tickets or a regulated workflow your industry has never seen automated.
orqoIt is split-plane by design: the control plane holds none of your content; the execution plane that processes your data runs in orqo's cloud by default, in your own cloud, or on hardware orqo delivers to your premises.
orqoAnd different people get different answers to the same question — scoped by the knowledge each person's access reaches — the permission-aware behavior an enterprise expects, governed in orqo's own plane rather than bolted onto a third party's. How the split-plane model works
Moveworks earned its place — and its acquisition — owning that job. But if you want agentic work across any domain, grounded in your original knowledge, priced on what you actually run, on data you control, starting from a single person rather than a thousand — that's the system orqo is. Claim your slot