One layer, or the operating system.
Most enterprise AI tools do one layer well — search finds, copilots draft, process mining maps. Each is useful, and each stops at the edge of its layer. The hard part of enterprise AI isn't any single layer; it's connecting them and governing the whole thing.
SphereIQ is the operating system across all of it — it connects your systems, models them as a Twin, answers from them with citations, acts through governed agents, and writes every step to a signed audit trail.
Where each category fits
Compared honestly: each category is strong at what it's built for. The difference is how much of the enterprise-AI problem it covers end to end.
vs Enterprise search
Enterprise search is genuinely good at one thing: finding and surfacing what already exists across your tools. Where the line falls is everything after retrieval — governance applied inside the query, a signed record of what was seen and done, a model of your operations, and agents that act on the answer. SphereIQ starts where search stops.
vs Copilots
Vendor copilots are excellent inside their own ecosystem, and if your work lives entirely in one suite, they're hard to beat there. But an enterprise runs on hundreds of systems, and governance, audit, and cross-system context are the hard part. SphereIQ is vendor-neutral by design — it connects to everything and governs it uniformly.
vs Process mining
Process mining reconstructs how work flows from event logs, and it's powerful for that. But it models the process, not the knowledge, the documents, or the people — and it doesn't answer questions or take governed action. The Enterprise Twin models systems, processes, and people together, and the Brain and agents act on it.
Capability by capability
Each cell says what actually happens — not just a checkmark.
| Capability | SphereIQ | Enterprise search | Copilots | Process mining |
|---|---|---|---|---|
| Answers cited to the source — document, page, exact span | Yes | Partial | Varies | No |
| Governance enforced inside the retrieval path (source permissions applied to the query) | Yes | Partial | Partial | No |
| Signed, immutable audit trail of every retrieval and action | Yes | No | No | No |
| A living Enterprise Twin of systems, processes, and people | Yes | No | No | Process only |
| Governed agents that take action, not just answer | Yes | No | Limited | No |
| Works across all your systems, not one vendor's ecosystem | Yes | Yes | Ecosystem-first | Log-based |
| Deterministic guardrails — PII and prompt-injection checks in the request path | Yes | No | No | No |
| Self-hosted, private-cloud, or air-gapped deployment | Yes | Mostly SaaS | No | Mostly SaaS |
Category names are examples of well-known tools in each space, used for orientation. Capabilities reflect SphereIQ's architecture; treat the other columns as the typical shape of each category, not a claim about any single product's roadmap.
The difference is architectural, not a feature list.
You can assemble search, a copilot, and a process tool and still be missing the two things that decide whether enterprise AI ships: governance enforced in the retrieval path, and a signed record of everything the system did. SphereIQ was built around those from the first line — which is why it connects, answers, acts, and governs as one system instead of four.
See it against your own systems.
The fastest way to compare is a Twin Scan of your enterprise — modeled, scored, and ranked.