6 hrs seconds
Time to resolve a document question, before and after a Company Brain
A professional-services firm
The AI governance platform your auditors will sign off on.
Not a dashboard you check after something goes wrong — a plane every AI request passes through: policy checked, PII masked, output verified, action approved, cost metered, everything on the record.
- Policy, PII masking, and approvals on every request — before anything happens
- EU AI Act, NIST AI RMF, ISO 42001, and GxP packs
- Ed25519-signed audit trail · SOC 2 Type II certified
21 years of enterprise engineering · 300+ clients in 28 countries · NPS 75 · AWS Premier & Anthropic Partner
Book the AI Spend Diagnostic
One week, fixed scope: every sanctioned and shadow AI tool, what it costs, and where the risk is.
- 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.
Governance that reaches every system your AI touches — each connection scoped, logged, and under the same policy.
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
Inside the governance plane.
Six controls on every request, in every plan — by architecture, not by add-on.
Policy engine
Rules that run, not rules on paper
Your AI policies enforced on every request — which data, which models, which actions, for whom.
Guardrails
Stopped before the model
Prompt injection — direct or hidden in a document — and secrets in a message are caught before they reach a model.
Data protection
Personal data masked
Social security numbers, card numbers, emails, and phone numbers masked by policy, in the request path.
Verification
Answers checked
Hallucination checks and required citations, so an answer that cannot be sourced does not ship.
Approvals
A person on anything that matters
Agent actions that touch money, customers, or records wait for a human — with a clear statement of what approving will do.
AI economics
Every dollar attributed
Cost metered per team, agent, and session — with budget alerts and chargeback your CFO can use.
Governance runs through the whole platform.
Every layer — connections, knowledge, the Twin, and agents — answers to the same governance plane.
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 your auditors actually see.
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.
Start with the AI Spend Diagnostic.
One week, fixed scope. You get an inventory of every sanctioned and shadow AI tool, what it costs, and where the governance gaps are — yours to keep, even if you stop there.
- An inventory of every AI tool in use — sanctioned and shadow
- What each one costs, attributed to teams
- The governance gaps against EU AI Act and NIST AI RMF, ranked
Book the AI Spend Diagnostic
One week, fixed scope: every sanctioned and shadow AI tool, what it costs, and where the risk is.
- 20 minutes · on your own systems, not a slide deck
- No commitment · you start with a fixed-scope deliverable
Asked by every risk and compliance team.
Yes — SphereIQ is SOC 2 Type II certified, and every AI request is additionally policy-checked, PII-masked, verified, and written to an Ed25519-signed ledger you can verify against a published key.
Yes. Comply keeps a register of your AI systems against the EU AI Act, classified by risk tier, and the AI Spend Diagnostic inventories every sanctioned and shadow AI tool as the baseline.
Yes, progressively. Anything routed through SphereIQ’s model gateway or MCP hub is fully governed. The AI Spend Diagnostic inventories the rest, and the consolidation plan brings shadow tools into the governed path over time.
Policy evaluation adds milliseconds, not meetings. What it removes is the slow part: months of security review per AI project, because the controls are already in the platform and already evidenced in the ledger.
Policies define approval thresholds — by action type, dollar amount, data sensitivity, or confidence score. Approvals arrive where people work (Slack, Teams, email), and every decision is ledgered with the approver, timestamp, and context.
AI your auditors, your CISO, and your CFO will sign off on.
Start with one fixed-scope week. You leave with the inventory, the cost, and the gaps — and a plan to close them.