Enterprise Data Engineering · Databricks · AI
Engineering tomorrow's intelligent enterprises.
Modern data platforms. Production-grade AI. Karsient modernizes legacy data estates onto the Lakehouse, engineers governed cloud data platforms, and builds AI that runs in production — with measurable gains in performance, cost, and time-to-insight.
0PB+
Engineered for Petabyte-Scale Data
0×
Accelerated Enterprise Modernization
Zero-Downtime
Cutovers by Design
0%
Automated Quality Checks
Platform architecture
A reference architecture for the modern data & AI estate
Sources through to business outcomes — the same architectural pattern we tailor to every migration and platform build.
Sources
- ERP / CRM
- Databases
- Files & APIs
- Streaming Events
Ingestion
- Auto Loader
- CDC
- Batch & Streaming
- API Gateways
Lakehouse
- Bronze
- Silver
- Gold
- Delta Lake
Governance
- Unity Catalog
- Access Policies
- Lineage
- Data Quality
Engineering
- dbt Models
- Workflows
- CI/CD
- Infra as Code
Analytics & AI
- SQL & BI
- ML / MLOps
- GenAI & Agents
- APIs
Live data flow · sources to outcomes
Business Outcomes: faster time-to-insight · lower platform cost · governed, trusted data · production AI
What we do
A full data-to-AI capability, under one roof
Six core specialisms that cover the full lifecycle — from raw data to governed platforms to production AI.
Products
The Karsient product suite
ShiftIQ, CodeShift, RevoCode, and Veriq — four purpose-built products that power every stage of enterprise modernization, from discovery through to governed, trusted production.
Who we are
0+
Years Combined Engineering Experience
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Cloud & Data Platforms
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Industry Domains of Team Expertise
Enterprise-Grade Global Engineering & Delivery
Our stack
Technology Platforms
Enterprise technologies we use to build secure, scalable and AI-ready solutions.
AI
Intelligence engineered for the enterprise
Production AI systems, engineered with the same rigor as any other enterprise platform — not proof-of-concept demos.
What we build with
Platform Capabilities
The core stack behind every engagement — engineering, cloud, AI, and analytics working as one.
Data Engineering
- Databricks
- Apache Spark
- Delta Lake
Cloud
- Microsoft Azure
- AWS
- Terraform
AI
OpenAI
Claude
Vector Search
Analytics
- Power BI
- SQL
Semantic Models
Why Karsient
A technical partner, not just an advisor
We are engineers first — the same people who design your architecture also help build and operate it.
Architecture First
We design the enterprise foundation before building intelligence on top of it.
AI + Data Convergence
We connect enterprise data engineering with production AI, not as two separate practices.
Production Engineering
We build beyond proof-of-concept toward governed, observable production systems.
Platform Agnostic
Deep experience across Databricks, Microsoft Fabric, AWS, Azure, and GCP — we recommend what fits, not what's familiar.
Product Mindset
We build reusable platforms, products, and accelerators — not just one-off engagements.
Engineering Depth
Our team writes and ships production code alongside yours, not just slide decks and recommendations.
Representative scenarios
How we approach real-world challenges
Illustrative engineering scenarios showing our approach and architecture thinking — not verified named-client case studies.
Engineering outcomes
What working with Karsient looks like
Governed data, faster
We design Lakehouse platforms with governance and access control built in from day one — so audits become a formality, not a scramble.
Production-first AI
Every AI system we build ships with monitoring, evaluation, and human-in-the-loop controls — the same rigor we apply to any production platform.
Engineers, not slide decks
Our team writes and ships production code alongside yours — architecture decisions are backed by working systems, not just diagrams.
Industry expertise
Built for regulated, data-intensive industries
Every industry has its own data gravity and compliance load. We bring pattern-matched experience, not generic playbooks.
How we work
A disciplined, ten-stage delivery methodology
Every engagement — whether a two-week assessment or a year-long platform build — follows the same disciplined path, from discovery through to running it for you.
Let's build the future together
Ready to turn your data into a decision engine?
Tell us about your platform, your team, and your timeline — we'll follow up within one business day with a plan.