Your company knows more than anyone in it. Including your AI.

The Enterprise AI Operating System — it connects every system, models your whole enterprise, and governs every answer and action.

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

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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.

200+ connectors, change-data-capture, and an MCP hub — so every system becomes something your AI can safely read from and act on.

SalesforceSnowflakeJira

SlackMicrosoft 365NetSuiteDatabricksSharePoint

Plus 200+ more — from mainframes to modern SaaS, 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

What is SphereIQ?

SphereIQ is an enterprise AI operating system. It connects your systems, builds your company's brain from everything your organization knows, models your operations as a living Enterprise Twin, lets your teams manufacture governed AI agents, and keeps every model, action, and dollar accountable — on one platform.

Five layers, one operating system.

This is the order a real transformation actually happens in — and the order SphereIQ was built in.

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 plugs into all of it — 200+ connectors, CDC, event streaming, and an MCP hub that makes every system a tool your AI can safely use. And crucially: act on, not just read.

200+ connectorsCDC & streamingMCP-nativeReverse actions

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Company Brain

Then your company gets a memory that never resigns.

Every contract, runbook, decision, and hard-won exception becomes part of a governed knowledge graph with a semantic layer — so "net revenue" means one thing everywhere, and the answer to any question comes with citations. This is institutional memory, made permanent and queryable.

Knowledge graphEnterprise RAGSemantic layerPersistent memory

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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

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AI Factory

Now you manufacture a workforce, not a pilot.

Agents built on the Brain, aimed by the Twin, and tested like software: evaluation gates, golden datasets, and a template library proven in real deployments — AP, compliance, procurement, technician knowledge. No agent ships without passing its evals.

Agent builderWorkflow orchestrationEvaluation harnessTemplate library

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Governance

And every layer above answers to this one.

Governance isn't a dashboard you check after something goes wrong — it's enforced in the request path. Policies, PII masking, hallucination checks, human approvals, an immutable audit ledger, and cost attribution down to the agent. This is AI your auditors, your CISO, and your CFO will sign off on.

Policy engineGuardrailsEU AI Act & GxP packsAI Economics Intelligence™

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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

Find out where your enterprise stands — in five minutes.

AI Readiness Scorecard

Fifteen questions across five dimensions — data, knowledge, systems, governance, people — plus a quick profile. Scored instantly, benchmarked, with the exact modules to start with.

Start the Scorecard

The State of AI Execution 2026

What 300+ enterprise deployments reveal about why AI initiatives stall — and what the ones that scaled did differently.

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Sample Enterprise Twin Scan

A redacted, real 20-page Twin Scan: dependency maps, tech-debt scores, and a ranked automation roadmap.

Download the sample

Asked by every buying committee.

How is SphereIQ different from Microsoft Copilot?

Copilot indexes documents inside one vendor's stack. SphereIQ models your whole enterprise across every system — then governs actions, not just answers, with policy enforcement, audit trails, and cost attribution on every AI call.

What does a deployment look like?

Most customers start with a fixed-scope entry point: the $8,500 AI Spend Diagnostic or a 4–6 week Enterprise Twin Scan. The Scan's output — a populated Twin and a ranked roadmap — becomes the plan for everything after. Platform deployment follows in phases, delivered by Sphere or a certified partner.

Can it run in regulated environments?

Yes — it's designed for them. Governance is enforced in the request path, with GxP validation packs, EU AI Act mapping, PII masking, human-approval workflows, and an immutable audit ledger. SphereIQ runs as SaaS, dedicated VPC, or in your own cloud.

The next chapter of your enterprise is already written in your data. Let's go read it.

Start with a Twin Scan — in six weeks you'll see your systems, processes, and people as one living model, with a ranked plan for what to automate first.

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