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Enterprise AI search that answers the question, not just finds the file.

One question across every connected system — answered, with the source cited, and filtered by what the person asking is allowed to see.

  • One question across Salesforce, ServiceNow, SharePoint, Jira, Snowflake, and more
  • Source permissions enforced at query time — not after
  • Cited answers, and governed agents that act on them

21 years of enterprise engineering · 300+ clients in 28 countries · NPS 75 · AWS Premier & Anthropic Partner

See it search across your own systems

A 20-minute session with a Sphere architect, on your stack.

  • 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.

Native connectors to the systems you already run — CRM, ERP, ticketing, documents, data — each connected the same governed way.

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.

6 hrs seconds

Time to resolve a document question, before and after a Company Brain

A professional-services firm

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

Search finds documents. SphereIQ answers the question.

The difference shows up in the questions leaders actually ask — the ones that span more than one system.

Across systems

One answer, many sources

Joins what lives in CRM, ticketing, documents, and the warehouse into one cited answer — instead of ten tabs.

Permissions

Respects who's asking

Inherits each source system's permissions and enforces them in the query, with PII masked where policy requires it.

Citations

Checkable by design

Every answer names the record, document, and passage behind it — reliable enough for people and agents to act on.

Data

The number, not just the file

Snowflake and Databricks connected — so the answer can include the figure, not only the document about it.

Action

From answer to done

Governed agents take the next step — drafting, updating, escalating — with a person approving anything that matters.

Deployment

Runs where your data lives

SphereIQ Cloud, Dedicated in your AWS account, or Private in your own cloud. No training on your data.

Search is where it starts. Here's where it goes.

SphereIQ connects every system, remembers what your company knows, models how it runs, and lets governed agents act — on one platform.

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 WRITE

Then, 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 your team actually sees.

Not a mockup. The product, working.

A run waiting for a person in the product, with Approve and Reject buttons. The banner asks whether to approve the round and send the escalations, and states that approving sends nothing: nothing leaves the system.
Nothing happens without a person. An agent run stops and says exactly what approving will do — before anyone approves it.
The Output queue in the product: what each agent produced, the agent, who it is assigned to, notes, the cost, the outcome and whether it has been reviewed. One run is waiting on a person; two are waiting for approval in all, and all 22 are not yet reviewed.
One queue for everything agents produce. What each agent produced, who owns it, what it cost, and whether it has been reviewed.
An evaluation set in the product, named Plan documents: answers with sources. It passes at 80 percent, gates releases and last scored 100 percent. Two checks: the answer cites at least one source, and it never contains I don't know. Below it, the questions it asks, such as how the vesting schedule works and how a member applies for a hardship withdrawal.
Tested before it ships. Every agent is scored against your own questions — cited sources required — and gated before release.
The audit log in the product: a table of entries, each with its timestamp, the user, the action, the model, the tokens in and out, and the cost; 228 entries in all.
Every call on the record. Who asked, which model, tokens in and out, and what it cost — one audit log for every AI call.

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 story

GxP

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 story
21 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 it across your own systems.

Tell us where your answers live today. We show one question answered across them — cited, permission-filtered, and on the record.

  • Bring a process and a few documents — we run the nearest template on them
  • See cited answers, an agent run, and the audit trail on your own material
  • Leave with a clear view of cost, deployment model, and first use case

See it search across your own systems

A 20-minute session with a Sphere architect, on your stack.

  • 20 minutes · on your own systems, not a slide deck
  • No commitment · you start with a fixed-scope deliverable

Asked before every search rollout.

Glean finds and summarizes indexed content. SphereIQ adds what comes after retrieval: governance applied inside the query, a signed record of what was seen and done, a live model of your operations, and agents that act on the answer. Many teams run both — see the full comparison.

Every step of retrieval is filtered by the asker's source permissions. The Brain inherits and enforces source-system permissions, layered with SphereIQ policies, and masks PII where policy requires it.

Where you choose: SphereIQ Cloud hosted by Sphere, SphereIQ Dedicated in a single-tenant VPC, or SphereIQ Private running in your own cloud.

Yes — SphereIQ is SOC 2 Type II certified. On top of that, every request passes the Governance plane: policy checked, PII masked, output verified, and everything written to an Ed25519-signed audit ledger you can verify yourself.

One question. Every system. An answer you can check.

20 minutes, on your own stack. You leave with the systems to connect first and a fixed-scope way to start.

Book my 20-minute demo