Most Data Estates Were Built for Yesterday.
Ours Are Built for Production AI.
Legacy warehouses, brittle ETL, governance bolted on after the fact - enterprises hit a wall the moment AI workloads demand real-time, governed data at scale. Affine rebuilds the foundation underneath.
Four Capabilities. One Modernized Data Foundation.
Each layer is independently deployable and proven in production - combine them for compounding returns.
The Engine Behind Modern Data.
Four proven systems - each battle-tested in enterprise deployments - working in concert.
DataOps Automation
Auto-pilot pipelines across diverse sources - legacy systems, IoT devices, cloud platforms. Manual effort drops; pipeline reliability climbs.
MASA Architecture
Modular Application and Service Architecture - API-first, headless, composable. Systems that bend with the business instead of breaking under it.
Hybrid & Multi-Cloud Platforms
Modernize applications anywhere - Anthos-style platforms keep workloads portable while feature deployment stays fast and secure.
Unified Governance Tools
Comprehensive controls for data access, quality, and integrity. Governance scales with the data estate - not as a tax on velocity.
Proof, Not Promises.
Real-Time Data Platform for a CPG Enterprise
Event-driven lakehouse replacing nightly batch ETL across 500+ SKUs - decision-grade signal in minutes, not the next morning.
- →0% faster decision-cycle reporting
- →Eliminated 4-hour daily ETL window
- →99.8% pipeline reliability across production loads
Cloud Migration & Modernization for a Global Manufacturer
Production lift to cloud-native lakehouse with full disaster recovery, IaC operations, and zero-downtime cutover across 200TB.
- →0% infrastructure cost reduction
- →4× data team velocity post-migration
- →Zero-downtime cutover - no data loss across cutover window
Unified Data Governance for a Banking Enterprise
Enterprise-wide governance platform with continuous compliance monitoring, automated policy enforcement, and audit-ready lineage.
- →0% governance overhead reduction
- →Audit-ready posture achieved in 12 weeks
- →99% data quality SLA met across critical domains

