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AI knowledge base software that answers, cites, and never forgets.

Every policy, contract, runbook, and hard-won exception — turned into answers your people can trust, cited to the source and scoped to what each person is allowed to see.

  • Answers in seconds, not hours — 60× faster in production
  • Every answer cited to the document, page, and span
  • Runs in our cloud, a dedicated VPC, or yours · SOC 2 Type II certified

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

See it answer from your own documents

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

  • 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.

No rip-and-replace. The Company Brain reads the systems you already run — documents, tickets, CRM notes, runbooks — and stays current as they change.

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

Everything a knowledge base should do — and what it never could.

A wiki waits for someone to write the page. SphereIQ reads what your organization already has and answers the question directly.

Answers

Cited, not summarized

Every answer points to the document, page, and span it came from — so people can check it before they act on it.

Permissions

Scoped to the person asking

Each source keeps its own access rules, applied in the query itself. Nobody sees an answer built from a file they cannot open.

Documents

Reads what people cannot

Parsing, table extraction, and scanned documents — the 35,000-document estate becomes answerable, not just searchable.

Memory

Knowledge that stays

Decisions, exceptions, and expertise become part of the Company Brain — so knowledge stays when people leave.

Everywhere

Where people already work

Chat in SphereIQ, Slack, Teams, or email — and governed agents that act on the answer, not just read it.

Proof

Accountable by design

Every question and answer on a signed audit trail, with PII masked by policy. SOC 2 Type II certified.

From scattered documents to answers that do the work.

The knowledge base is the Company Brain. Around it sits the rest of the platform — so answers can become action, on one governed system.

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.

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.
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 Skills list in the product: shared instructions such as a house report format, an incident report format, numbers exactly as written and saying plainly when it does not know, each with its category, version and whether it is built in or the workspace's own.
Your house rules, built in. Shared instructions — report formats, exact numbers, saying plainly when it does not know — applied to every agent.

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 on your own documents.

Bring a few documents and a question your team asks every week. We show the cited answer, the permissions, and the audit trail — live.

  • 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 answer from your own documents

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

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

Asked before every knowledge base rollout.

A wiki waits for someone to write the page; search finds documents; a RAG chatbot summarizes them. A company brain adds structure (knowledge graph), shared meaning (semantic layer), memory over time (Engram), and governance on every answer — which is what makes it reliable enough for agents to act on, not just people to read.

The Brain inherits and enforces source-system permissions, layered with SphereIQ policies. A person or agent only retrieves what they're entitled to see — enforced at query time by the Governance plane, with PII masking where policy requires it.

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.

First collections are typically live in weeks: connect the highest-value sources via SphereIQ Connect, ingest, and validate answers with the owning team. Value compounds from there as coverage and the semantic layer grow.

Your company already knows the answer. Now it can prove where it came from.

20 minutes, on your own documents. You leave with a clear first use case and a fixed-scope way to start.

Book my 20-minute demo