The Bloomfire alternative built to act, not just store.
Bloomfire is genuinely good at organizing and surfacing what your teams already wrote. SphereIQ picks up where that stops — governed answers cited to the source, a signed audit trail, a living Enterprise Twin, and agents that act.
- Bloomfire
- Organizes what’s written. A static library.
- SphereIQ
- Connects, answers, acts, and governs.
Where Bloomfire is genuinely strong — and where the line falls.
No exaggeration: Bloomfire is good at what it’s built for. Here’s exactly where SphereIQ picks up.
Bloomfire
What a knowledge library is built for
SphereIQ
What picks up from there
What happens after a knowledge library stops being enough.
The same pattern, wherever expertise meets document volume — proven in production, not a pilot.
The layer a static library was never built to have.
A knowledge base tells you what someone wrote down. It can’t tell you how Sales, Finance, Legal, and Engineering actually depend on each other right now — that requires a live model of your operations, not just an archive of documents. That’s the Enterprise Twin.
See it against your own material
Bring a process and a few documents. We run the nearest template on them, and you keep the run record.
See the difference on a call
20 minutes, against your own systems — not a slide deck.
Before you book
- We already have Bloomfire — why would we add SphereIQ?
- You may not need to replace it. A knowledge library is genuinely good at one thing: organizing and surfacing content your teams have already created. 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 live operations, and agents that act on the answer. SphereIQ starts where content libraries stop; many teams run both.
- How is SphereIQ different from Microsoft Copilot?
- 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.
- What does a deployment look like?
- Most engagements start with a fixed-scope, one-week AI Spend Diagnostic or a 4–6 week Enterprise Twin Scan — both designed to show real findings before committing to a full platform rollout.
- Can it run in regulated environments?
- Yes — SphereIQ Private supports customer-controlled cloud and keys, with GxP and 21 CFR Part 11 validation support for regulated, data-residency-sensitive deployments.
See what happens after a knowledge library stops being enough.
A 20-minute conversation, against your own systems — not a slide deck.