Ingestion & pipelines
Batch and streaming ingestion from ERP, CRM, ticketing, warehouses, and file stores — orchestrated, versioned, and resumable.
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.
Data quality & lineage
Validation rules, anomaly detection, and lineage tracking so a questionable number can be traced to its source.
Governance-ready storage
Role-based access, encryption, and immutable audit trails from day one.
The foundation everything else reads from
Company Brain, Support Intelligence, AI Factory, and Governance query the same governed data.
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
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 DemoFAQ
Straight answers
How is Sphere Data Platform different from a data warehouse?+
A warehouse stores data. Sphere Data Platform ingests, cleans, monitors, and governs it, then exposes it in a form the product suite can query safely.
Do we need to replace our existing data stack?+
No. It is designed to sit alongside the warehouse, ERP, and CRM you already have — connecting and governing what is there.
How does this connect to the rest of the SphereIQ suite?+
It is the base layer. Connect integrates systems of record, and every application above it reads from the same governed foundation.
How do we know if we need this first?+
A 30-minute demo can show whether Data Platform should be the first move for your systems and data maturity.