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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.

BloomfireOrganizes what's written. A static library.
SphereIQConnects, answers, acts, and governs.
21
Years of engineering
300+
Enterprise clients
NPS 75
Customer satisfaction

See the difference on a call

20 minutes, against your own systems — not a slide deck.

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

Organizes and surfaces content your team already wrote
Strong for training material, SOPs, and internal wikis
~Citations and governance: partial, applied after retrieval
No signed audit trail of what was seen or done
No live model of operations — no Twin, no agents that act

SphereIQ

What picks up from there

Answers cited to the exact document, page, and span
Governance enforced inside the retrieval path, not after
Signed, immutable audit trail of every action
A living Enterprise Twin of systems, processes, people
Governed agents that act, not just answer

What happens after a knowledge library stops being enough.

The same pattern, wherever expertise meets document volume — proven in production, not a pilot.

6 hrs sec
Time to resolve a document question
A professional-services firm
60×
Faster resolution across 35,000+ documents
A global aviation operator
$1.2M/yr
Saved from AI-run back-office workflows
An energy services firm
GxP ✓
Validated for regulated environments
A life-sciences services firm
21 yrs
Enterprise engineering
300+
Clients in 28 countries
NPS 75
Customer satisfaction
AWS · Anthropic
Premier / Partner status

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.

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 ($8,500) 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.