Data that actually works.
We build scalable data platforms, engineering pipelines and analytics ecosystems that turn raw data into business intelligence, reliably, in real time.
Every layer of your data platform
Every layer of your data platform
Every layer of your data platform
All our data services at a glance.
Seven production-grade data workstreams covering every step from raw ingestion to AI-ready features. Tap a row for capabilities, or jump straight to the full detail page.
Streaming and batch pipelines, data lakes, lakehouses and analytics engines tuned for petabyte-scale workloads.
Six reasons enterprises run Data with Infivit.
Built for the 2026 data stack: streaming over batch, lakehouses over $1M warehouse bills, data contracts over Slack arguments and AI-ready pipelines that actually fuel your GenAI roadmap.
Real-time, not nightly batch.
Kafka, Flink and Pulsar pipelines with sub-second SLAs replace yesterday’s ETL. Decisions and AI features run on data that is seconds old, not 18 hours stale.
AI-ready data, not just dashboards.
Feature stores, vector indexes and a unified semantic layer built so your GenAI and ML projects have governed, embedding-ready data on day one, not 14 disconnected silos to wrangle first.
60% lower warehouse spend.
Iceberg, Delta and Hudi lakehouse architectures plus aggressive query optimization. Cut Snowflake and BigQuery bills in half without sacrificing performance or governance.
Data products with real contracts.
Schema-versioned, owned, SLA-backed datasets. The "is this data right?" Slack threads stop. Producers and consumers agree in writing, breakages caught at the boundary, never in the dashboard.
Lineage across 200+ tools, end-to-end.
Column-level lineage and data observability spanning every tool in your stack. Audit trails that satisfy DPDP, GDPR and your CFO simultaneously, when a number changes, you know exactly why.
Business answers in minutes, not tickets.
dbt + a governed semantic layer + a searchable catalog. Business users get trustworthy answers without filing a ticket, your data team gets time back to ship the next product.
From raw source to business insight.
Our modern data stack automates ingestion, transformation and serving, with SLA guarantees, full observability and data contracts enforced at every stage.
Bad data = blocked pipeline
Every pipeline stage enforces data contracts and quality tests. Failing any check blocks downstream propagation automatically.
Source Ingestion & CDC
Connect databases, APIs, SaaS tools and streams with schema inference, change data capture and automated validation.
Raw Landing Layer
Land raw data into a governed data lake with immutable partitions, retention policies and full lineage audit trail.
Transform & Model
Build dimensional models, aggregations and feature tables using dbt with auto-testing and documentation generation.
Semantic & Metrics Layer
Define business metrics once, query everywhere via a governed semantic layer consumed by BI tools and AI models alike.
Analytics & ML Serving
Expose curated datasets via APIs, feature stores and BI connectors with row-level security and column-level encryption.
Observability & DataOps
Monitor pipeline health, data freshness, quality scores and SLAs with automated alerting and self-healing workflows.
Our Data Technology Stack
Industry-standard, battle-tested tools, not experimental pet projects.
Ready to unlock your data?
Book a free data architecture review and leave with a clear modern data stack roadmap for your team.