Cloud Information Model is an IT services firm that designs shared enterprise data models and engineers the integration, platform and governance layers around them — so your cloud and on-prem applications finally agree on what a customer, a product and an order are.
We start with the shared vocabulary every system has to agree on, then build and run what depends on it: integrations, platforms, master data and the controls around them. One team, accountable end to end.
An application-agnostic enterprise model — subject areas, entities, relationships and reference data — aligned to open standards and to the way your business actually talks.
API-led and event-driven integration between SaaS, ERP, CRM and on-prem systems — built on the shared model instead of brittle point-to-point links.
Lakehouse and warehouse builds on Snowflake, Databricks, BigQuery and Fabric, with version-controlled, tested ELT your analysts can trust.
Golden records for customers, suppliers, products and locations, with matching, survivorship and stewardship workflows your data owners will actually use.
Catalogs, lineage, data contracts and access policies that satisfy auditors without slowing engineers down.
Move legacy ETL, mainframe extracts and on-prem databases to the cloud with parallel runs, automated reconciliation and zero-downtime cutovers.
Round-the-clock monitoring, incident response and continuous optimization for the pipelines and integrations we build — or the ones you already run. Your team gets a named lead, a shared runbook and a monthly health review.
Every direct system-to-system link is one more interface to build, test and fix when either side changes. Map each system once to a canonical model and the integration surface grows in a straight line instead of a curve.
With 12 systems, a canonical model cuts the integration surface by 82%.
Most engagements start with one painful symptom. We fix that first, then leave behind a model and platform that stops the next one from happening.
Two ERPs, three CRMs and a board deadline. We map both estates to one model and sequence the consolidation so the business keeps running.
Resolve duplicate customers across CRM, billing and support into one trusted profile that sales, finance and service all use.
Replace fragile overnight batch jobs with tested, observable pipelines on a modern platform — without a big-bang cutover.
Give ML and generative AI initiatives governed, well-described data with clear semantics, lineage and access controls.
Reconcilable, auditable data flows for month-end close, regulatory filings and ESG disclosures.
Rationalize dozens of undocumented point integrations into one governed, monitored integration layer.
A delivery method built for enterprise estates: short, fixed-scope discovery, a model your domain owners sign off, then working software every two weeks.
Systems inventory, data-flow mapping, stakeholder interviews and a prioritized roadmap with a budget range.
2–3 weeks · fixed scopeCanonical entities, relationships and mapping specifications, validated with the people who own the data.
Model sign-offIntegrations, pipelines and platform components shipped in two-week increments with automated tests.
Bi-weekly releasesManaged data operations, or a structured handover to your team with runbooks, training and support.
Run or transferEvery engagement has a named lead, a written scope and a weekly status you can forward to your leadership without editing.
A senior architect maps your current estate and delivers a target architecture you can act on.
A dedicated cross-functional team embedded with yours to design, build and ship.
We run, monitor and continuously improve your pipelines and integrations.
Tell us what’s connected to what — and what isn’t. We’ll come back with where a shared model would pay off first, and what it would take.
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