AI · Data Engineering · Cloud
Engineering tomorrow's intelligent enterprises.
Karsient partners with enterprise and Fortune 500 teams to turn scattered data into governed platforms, and platforms into production AI. From data to decisions, from products to possibilities.
What we do
A full data-to-AI capability, under one roof
Ten specialisms that cover the full lifecycle — from raw data to governed platforms to production AI.
Databricks Consulting
Lakehouse architecture, migration, and optimisation.
- Lakehouse architecture & workspace design
- Unity Catalog governance setup
- Delta Live Tables pipelines
Data Engineering
Reliable pipelines that turn raw data into a product.
- Batch & streaming pipeline design
- Orchestration (Airflow, Dagster, Workflows)
- Data quality & observability
AI & Machine Learning
Applied models that ship, not just prototypes.
- ML model development & MLOps
- LLM & generative AI applications
- Forecasting & recommendation engines
Cloud Migration
Move workloads without moving risk.
- Migration assessment & roadmap
- Lift-and-shift & re-architecture
- Cost modelling & FinOps
Data Platform Modernisation
Retire legacy debt, keep the institutional knowledge.
- Legacy-to-cloud replatforming
- ETL-to-ELT redesign
- Metadata-driven architecture
Data Governance
Trust, lineage, and compliance built in.
- Data cataloguing & lineage
- Access control & masking
- Regulatory compliance (GDPR, HIPAA, etc.)
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.
Platform-agnostic expertise
Deep experience across Databricks, AWS, Azure, and GCP — we recommend what fits, not what's familiar.
Engineers, not just advisors
Our consultants write and ship production code alongside your team, not just slide decks.
Governance from day one
Security, lineage, and compliance are built into every architecture, not bolted on later.
Outcome-based partnership
We measure success in decisions enabled and cost removed, not hours billed.
How we work
A four-stage engagement model
Every engagement — whether a two-week assessment or a year-long platform build — follows the same disciplined path.
Discover
We map your data landscape, business goals, and constraints before proposing anything.
Design
Architecture and roadmap are designed against your scale, budget, and compliance needs.
Build
Agile delivery in short cycles, with working increments you can see every sprint.
Operate
We hand over with documentation, training, and an optional managed-services partnership.
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.
Proof, not promises
Recent client success stories
A sample of engagements across our core industries. Full case studies available on request.
Cutting claims-fraud investigation time by 60%
A mid-market insurer partnered with Karsient to build a real-time fraud-scoring pipeline on top of a modernised claims data platform.
- 60% faster fraud triage
- 35% reduction in false positives
- Real-time scoring at claim intake
Demand forecasting that cut stockouts across 200+ stores
We built a forecasting platform on Databricks that combined POS, weather, and promotional data into a single demand signal.
- 22% fewer stockouts
- Forecast refresh time cut from days to hours
- Unified data model across 200+ stores
Automating regulatory reporting for a regional bank
A governed data warehouse and lineage framework replaced a spreadsheet-driven reporting process prone to manual error.
- Reporting cycle reduced from 5 days to 6 hours
- Full lineage for every regulatory figure
- Zero manual reconciliation steps
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Industries served
Client voices
What partners say about working with us
“Karsient rebuilt our data platform in months, not years, and our analysts finally trust the numbers.”
“Their team felt like an extension of ours — technically sharp and genuinely invested in the outcome.”
“The governance framework they implemented turned audits from a scramble into a formality.”
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.