Priced for how you deploy. Never by the seat.

Every plan is the complete platform — all five layers, no capability paywalls. The price follows your deployment model and scope, so adoption is never penalized. And you don't start with a leap: you start with a fixed-price deliverable that's yours either way.

See how buying works Compare deployment models

Typical first step: $8,500 diagnostic, one week — a real deliverable before any platform commitment.

HOW ENGAGEMENTS RUN

AI Spend Diagnostic

Where your AI money actually goes — shadow tools included. Fixed scope.

✓ Stop here with the report — it's yours

$8,500ONE WEEK · FIXED

Enterprise Twin Scan

Your systems, processes, and people — mapped, scored, and ranked into a roadmap.

✓ Stop here with the Twin — it's yours

from $35,000SIX WEEKS · FIXED

Platform subscription

The full operating system, scoped to your deployment model and estate.

Scoped quoteBY DEPLOYMENT · NO SEATS

You buy a deliverable before you buy a platform.

No self-serve trial theater, no leap of faith. Each step produces something that stands on its own — and each step is a fair place to stop.

STEP 01 · ONE WEEK

AI Spend Diagnostic

$8,500fixed

A forensic pass over your actual AI spend and usage — sanctioned and shadow.

Where the money goes, tool by tool
Shadow-AI exposure surfaced
A prioritized savings map

✓ A report your CFO can act on — even if you stop here

STEP 02 · SIX WEEKS

Enterprise Twin Scan

from $35,000fixed

Your enterprise modeled: systems, processes, people, dependencies — scored for AI readiness.

A populated, queryable Twin
Dependency & readiness maps
A ranked automation roadmap

✓ The map is yours — even if you stop here

STEP 03 · ONGOING

Platform subscription

Scoped quote

The complete five-layer operating system, priced by deployment model and estate — never by seat.

All five layers, every plan
Governance in the request path
Delivered by Sphere or a certified partner

✓ The Twin Scan becomes your deployment plan

Three ways to deploy the same platform.

Cloud for speed, Dedicated for enterprise isolation, Private for regulated and data-residency mandates. All three run the full five-layer operating system.

Fastest start

SphereIQ Cloud

Multi-tenant SaaS, managed by Sphere. The default for teams that want value in weeks, not quarters.

The full five-layer platform — Connect, Company Brain, Enterprise Twin, AI Factory, Governance
Managed hosting, updates, and monitoring
SSO/SAML, RBAC, audit ledger
SOC 2 program, standard support

Price shape: the lightest footprint — scoped mainly by systems connected and usage.

Book a meeting

Most enterprises

The enterprise default

SphereIQ Dedicated

A single-tenant VPC in your own AWS environment, managed by Sphere. Isolation without the operational burden.

Everything in Cloud, single-tenant isolated
Your AWS environment, run by Sphere
SCIM provisioning, enterprise SSO, ethical-wall scoping
EU AI Act & NIST mappings, priority support

Price shape: adds environment isolation and managed ops to the Cloud baseline.

Book a meeting

Regulated & data-residency

SphereIQ Private

Your cloud, your keys. Built for GxP, financial services, and data-residency mandates where nothing leaves your walls.

Everything in Dedicated, in your own cloud
Your encryption keys, your data boundary
GxP validation pack, 21 CFR Part 11 controls
White-glove delivery, dedicated engineering

Price shape: adds validation packs and white-glove delivery; scoped with your compliance team.

Book a meeting

What moves the number — and what doesn't.

Quote-based doesn't have to mean opaque. Four things shape a SphereIQ quote:

Deployment model

Cloud, Dedicated, or Private — the biggest single factor, because it decides who runs what and where.

Systems connected

How much of your estate the platform reaches — connectors, CDC streams, and the MCP surface your agents can use.

Vertical & compliance packs

GxP validation, EU AI Act mapping, industry editions — included where you need them, not priced into everyone's plan.

Managed AI operations

Optionally, Sphere or a certified partner runs the platform as a service — agents, evals, and governance operated for you.

What never moves it: headcount. Rolling SphereIQ out to more people costs you nothing extra — per-seat pricing punishes exactly the adoption you're trying to create.

Every plan is the whole platform.

All five layers

Connect, Company Brain, Enterprise Twin, AI Factory, Governance — no tier-locked subset. Deployment changes where it runs, not what you get.

Governance in the path

Policy enforcement, PII masking, guardrails, and an immutable audit ledger on every call — in every plan, by architecture.

The connector fabric

200+ connectors and an MCP hub so AI reaches the systems you already run, with permissions captured at the source.

Weigh the quote against the Context Tax.

Every enterprise is already paying for disconnected knowledge — it just never appears on a P&L. Run your own numbers before we talk about ours.

6 hrs → sec

Document resolution, before and after a Company Brain — a professional-services firm

60×

Faster answers across 35,000+ operational documents — a global aviation operator

$1.2M/yr

Banked from AI-run back-office workflows — an energy services firm

Run the ROI calculator Read the customer stories

Pricing questions, answered

How is SphereIQ priced?

Pricing is based on your deployment model and the scope you need — not per-seat licensing. We scope a quote to your environment, systems, and scale, so the price reflects value delivered rather than headcount. Book a meeting and we'll put real numbers against your specifics.

Do you charge per seat?

No. Per-seat pricing penalizes exactly the thing you want — adoption. SphereIQ is priced around deployment and platform scope, so rolling it out to more people doesn't linearly inflate the bill.

Which deployment model is right for us?

Cloud if you want the fastest path to value and don't have single-tenant requirements. Dedicated — the enterprise default — for single-tenant isolation in your own AWS, managed by us. Private when regulation or data-residency means nothing can leave your cloud. If you're unsure, a short call sorts it quickly.

Can we start small?

Yes, and most do. Engagements typically begin with a fixed-scope entry point — an AI Spend Diagnostic or an Enterprise Twin Scan — that produces a real deliverable and a ranked plan before any platform commitment. It de-risks the decision instead of asking for faith.

Is there a free trial?

We start with a fixed-scope engagement rather than a self-serve trial, because a sandbox doesn't tell an enterprise anything real. You get an actual deliverable — a diagnostic or a mapped Twin — that stands on its own even if you go no further.

What about model and inference costs?

Model usage is metered transparently and attributed down to the team and agent — that's AI Economics Intelligence™, built into Governance. SphereIQ is model-agnostic, so cost-aware routing across providers keeps inference spend visible and controllable instead of buried in a bundle.

Who delivers the deployment?

Sphere Inc. — 21 years of enterprise engineering — or a certified partner from the SphereIQ partner program, at the same delivery standard. Either way, your first Twin Scan follows the same fixed-scope playbook.

Tell us how you deploy. We'll put real numbers on it.

A short call is faster than a pricing table for a platform this configurable.

Book a meeting See the platform