Products / Sphere Data Platform
Your AI is only as good as the data underneath it.
Ingestion, pipelines, data quality, and governance-ready storage — the unglamorous layer that decides whether every AI initiative above it succeeds or stalls.
21 years enterprise engineering300+ clients · 28 countriesNPS 75
Organizations around the world trust us
What it does
One foundation, four jobs done right.
Most AI initiatives do not fail on the model. They fail on the data underneath it — untracked, unvalidated, and ungoverned.
Ingestion & pipelines
Batch and streaming ingestion from ERP, CRM, ticketing, warehouses, and file stores — orchestrated, versioned, and resumable.
Proven across 6+ source-system types in a single deployment — two ERPs, two CRMs, and two estimating systems — without a rip-and-replace of the underlying stack.
Data quality & lineage
Validation rules, anomaly detection, and lineage tracking so a questionable number can be traced to its source.
One deployment reconciled 14,000+ estimates across incompatible legacy cost models and surfaced a $680K/year discrepancy hiding in the data itself.
Governance-ready storage
Role-based access, encryption, and immutable audit trails from day one.
Access boundaries are inherited from source systems, not flattened — a unified layer never grants visibility a user didn't already have.
The foundation everything else reads from
Company Brain, Support Intelligence, AI Factory, and Governance query the same governed data.
Runs in production with hourly sync and zero access-control exceptions across 90 days of governed live queries.
Real results
Proof, not projections
Every number comes from a named outcome, not a target or an estimate.
$1.2M
annual savings from an institutional-knowledge platform built on Sphere Data Platform
250
daily active users on a self-service reporting platform
$680K/yr
recovered from a markup-formula discrepancy hiding across two merged estimating systems — surfaced by unifying 612 duplicate records into 187 governed golden records at 94% match confidence.
Who it's built for
Built for industries where complexity matters
Sphere works with organizations that need modern software, trusted AI, and data systems that can support regulated, high-stakes operations.
Financial Services
AI onboarding, compliance workflows, analytics, automation, and secure modernization.
Healthcare
Secure internal tools, data workflows, patient-facing systems, and regulated AI use cases.
Manufacturing
Operational intelligence, modernization, process automation, and AI-assisted validation.
Insurance
Claims workflows, customer operations, knowledge retrieval, and governed AI systems.
Energy & Utilities
Complex data environments, field operations, asset-heavy workflows, and platform modernization.
Private Equity
Technical due diligence, carve-outs, operational foundations, and delivery support.
In their own words
Verified by the people who signed off on it
“Sphere consistently demonstrated a high level of accountability, technical expertise, and executive partnership.”Abhishek Karan — BP
“Their combination of product thinking, engineering expertise, and execution discipline enabled impactful solutions.”Matt Norman — DigitalOcean
“Sphere approached AI transformation the right way — starting with workflows and data governance.”Ilya Kaminsky — Summit Financial Management
Where to start
See Data Platform running in a real enterprise environment.
A 30-minute walkthrough of how Sphere Data Platform grounds the rest of the stack — tailored to your systems, not a generic script.
Book a Demo