6 hrs seconds
Time to resolve a document question, before and after a Company Brain
A professional-services firm
The Glean, Guru, and Bloomfire alternative built to act, not just search.
Search and knowledge tools stop at the document. SphereIQ answers the question across every system you run — cited, permission-aware — then lets governed agents act on it, with every step on a signed audit trail.
- An honest side-by-side: capabilities and deployment
- No migration project — run it alongside your current tool
- Cloud, dedicated, or your own cloud · SOC 2 Type II certified
21 years of enterprise engineering · 300+ clients in 28 countries · NPS 75 · AWS Premier & Anthropic Partner
Compare it on your own systems
A 20-minute session with a Sphere architect — bring the questions your current tool can’t answer.
- 20 minutes · on your own systems, not a slide deck
- No commitment · you start with a fixed-scope deliverable
In production across regulated, document-heavy industries
- Aviation & logistics
- Energy
- Financial & professional services
- Life sciences (GxP)
It starts by plugging into the systems you already run.
Connected to the same systems your current tool reads — plus CRM, ticketing, and data — so answers can span the business.
SalesforceSnowflakeJira
SlackMicrosoft 365NetSuiteDatabricksSharePoint
Each one connected the same governed way.
Every enterprise is quietly paying a Context Tax.
Every question answered twice. Every process that lives in one person's head. Every AI pilot that stalled because the model knew the internet — but not your business. It compounds daily, and it never appears on a P&L.
60×
Faster resolution across 35,000+ operational documents
A global aviation operator
$1.2M/yr
Annual savings from AI-run back-office workflows
An energy services firm
Glean, Guru, and Bloomfire — side by side.
Each is genuinely good at what it’s built for. The line falls at everything after retrieval: governed answers, a signed record, a model of your operations, and agents that act.
| Capability | SphereIQ | Glean | Guru | Bloomfire |
|---|---|---|---|---|
| Built for | Answering across every system — and acting on the answer | Finding and summarizing what’s already indexed | Verifying and delivering documented knowledge | Organizing training material, SOPs, and wikis |
| Answers cited to the source — document, page, exact span | Yes | Partial | Partial | Partial |
| Governance enforced inside the retrieval path | Yes | Partial | Partial | Partial |
| Captures knowledge that was never written down | Yes | Indexed content | Written cards | Written content |
| 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 | No |
| Governed agents that take action, not just answer | Yes | No | No | No |
| PII and prompt-injection checks in the request path | Yes | No | No | No |
| Self-hosted or private-cloud deployment | Yes | Mostly SaaS | Mostly SaaS | Mostly SaaS |
Head-to-head detail: SphereIQ vs Glean · SphereIQ vs Guru · SphereIQ vs Bloomfire
Who should switch — and who shouldn’t.
An honest answer saves both of us a call.
Stay where you are if…
–You mainly need to find documents that already exist
–Your knowledge is well documented and kept current by its owners
–No regulator or auditor asks what your AI saw and did
Talk to us if…
✓Answers span CRM, tickets, documents, and data — not one index
✓You need a signed record of every AI answer and action
✓You want agents that do the work, with a person approving what matters
✓You need it to run in your own cloud or a dedicated environment
Moving over without a migration project.
No rip-and-replace, no content migration, no leap of faith.
Step 1
Connect the same sources
SphereIQ reads the systems your current tool already covers — SharePoint, Confluence, Slack, Salesforce, and more — in place. Nothing is exported or rewritten.
Step 2
Run side by side
Ask both tools your team’s real questions and compare the answers. Many teams keep search and run SphereIQ alongside it.
Step 3
Switch when it’s proven
Start with a fixed-scope, one-week diagnostic or a six-week Twin Scan. You decide on the platform after you’ve seen results on your own data.
What you get that a search index doesn’t.
One platform that connects, remembers, models, acts, and governs — the whole enterprise-AI problem, end to end.
Connect
First, the 400 systems that don't talk start talking.
Your ERP has never met your ticketing system. Your CRM and your data warehouse communicate through a CSV someone emails on Mondays. Connect links them once, under one set of rules — so AI can work across all of them, and act, not just read. Fewer integration projects, and answers that span departments.
Native connectorsReal-time syncMCP-nativeWrite-back actions
Company Brain
Then your company gets a memory that never resigns.
Every contract, runbook, decision, and hard-won exception becomes company knowledge that stays when people leave — so "net revenue" means one thing everywhere, and every answer shows where it came from. Less time hunting for answers, and no question answered twice.
Knowledge graphCited answersOne definition per metricPersistent memory
Enterprise Twin
THE ONE NO ONE ELSE CAN WRITEThen, for the first time, you can see your enterprise.
A living model of your systems, processes, people, applications, and assets — discovered automatically, kept current, and queryable. The Twin shows you what to automate, what it depends on, and what it's worth before you deploy a single agent. You can't automate what you can't see.
System discoveryDependency graphsProcess miningAI-readiness scoring
AI Factory
Now you manufacture a workforce, not a pilot.
AI agents that take on real work — accounts payable, compliance, procurement, technician support — built from templates proven in real deployments and tested against your own cases before they go live. No agent ships until it passes, so what goes live is something you can put your name on.
Agent builderWorkflow orchestrationTested before launchTemplate library
Governance
And every layer above answers to this one.
Governance isn't a dashboard you check after something goes wrong — it's applied to every request, before anything happens. Policies, personal-data protection, answer checks, human approvals, a tamper-proof audit trail, and the cost of every agent, attributed. This is AI your auditors, your CISO, and your CFO will sign off on.
Policy engineGuardrailsEU AI Act & GxP packsAI Economics Intelligence™
What happens after the answer.
Not a mockup. The product, working.
Screens from the product, shown on a demo workspace with synthetic data.
These aren't projections. They're invoices that stopped arriving.
60×
Global aviation operator · Aviation
An operations team drowning in 35,000+ documents gave every dispatcher a Company Brain. Questions that took hours now resolve in minutes — mid-flight, mid-crisis, every time.
Read the story$1.2M
Energy services firm · Energy back office
AI-run workflows took over the repetitive half of the back office. The savings recur every year — and the team moved to work that needs humans.
Read the storyGxP
Life-sciences services firm · Life sciences
A knowledge assistant deployed in a validated GxP environment — proof that governed AI clears the strictest compliance bar there is.
Read the story21 yrs
Enterprise engineering
300+
Clients in 28 countries
NPS 75
Customer satisfaction
AWS · Anthropic
Premier / Partner status
Security and compliance, built into every plan
- SOC 2 Type II certified
- EU AI Act & NIST AI RMF
- GxP & 21 CFR Part 11
- SSO · SCIM · RBAC
- Cloud · Dedicated · Private
Start with a deliverable, not a leap.
Every step produces something that stands on its own — and is a fair place to stop.
1 week
AI Spend Diagnostic
Where your AI money actually goes, shadow tools included. Fixed scope — the report is yours, even if you stop there.
6 weeks
Enterprise Twin Scan
Your systems, processes, and people mapped and ranked into a roadmap of what to automate first. Fixed scope — the Twin is yours.
Phased
Platform rollout
The Twin Scan becomes the deployment plan. Rollout follows in phases, delivered by Sphere or a certified partner.
See the difference on your own systems.
Bring the questions your current tool can’t answer. We run them against your systems in 20 minutes — cited answer, agent run, and audit trail.
- Your questions, answered across your own systems
- A side-by-side you can take back to your team
- A clear view of cost, deployment model, and first use case
Compare it on your own systems
A 20-minute session with a Sphere architect — bring the questions your current tool can’t answer.
- 20 minutes · on your own systems, not a slide deck
- No commitment · you start with a fixed-scope deliverable
Before you switch.
No. Each is genuinely good at finding, verifying, or organizing what’s already written. SphereIQ adds what comes after retrieval — governance inside the query, a signed record of what was seen and done, a live model of your operations, and agents that act. Many teams run both.
There is no content migration. SphereIQ connects to the sources your current tool reads, in place, so you can run both side by side and compare answers on your own questions before deciding.
Most teams start with a fixed-scope, one-week AI Spend Diagnostic or a six-week Enterprise Twin Scan — both produce a deliverable that is yours, even if you stop there.
Yes — SphereIQ is SOC 2 Type II certified. On top of that, every AI request is policy-checked, PII-masked, and written to a signed audit ledger. See the security page.
Where you choose: SphereIQ Cloud hosted by Sphere, SphereIQ Dedicated in a single-tenant environment in your own AWS account, or SphereIQ Private in your own cloud. SphereIQ does not train models on your data.
Yes — SphereIQ Private supports customer-controlled cloud and keys, with GxP and 21 CFR Part 11 validation support for regulated, data-residency-sensitive deployments.
Keep what works. Add what search was never built to do.
20 minutes, on your own systems. You leave with a side-by-side and a fixed-scope way to start.