Verdant Data Lake
A scalable cloud data lake and pipelines handling millions of IoT sensor readings every day.
- Client
- Verdant AgriTech
- Industry
- AgriTech
- Timeline
- 9 weeks
- Year
- 2023
- Built with
- Kafka · Spark · S3 · AWS
What Verdant AgriTech needed
Verdant's field sensors produced more data than their systems could handle, so most of it went unused and insights were left on the table.
How we solved it
We built a scalable cloud data lake with streaming pipelines that ingest and process millions of readings daily, stored ready for analytics.
A clear, low-risk process
Discover
We dig into your goals, users and constraints to agree exactly what success looks like before any work begins.
Design
We map the solution - architecture, flows and scope - so everyone knows what we're building and why.
Build
We deliver in short, visible iterations, so you see real progress every week and can steer as we go.
Launch & support
We ship to production, measure the results and keep improving - you're never left with something half-finished.
What we delivered
- ✓Streaming ingestion pipelines
- ✓Scalable cloud data lake
- ✓Processing & transformation
- ✓Analytics-ready storage
Designed for mobile too
The outcome
“We can finally use all our sensor data instead of drowning in it.”
Explore more projects
Aelion Proptech MVP
Aelion Proptech AG
Cloud-native MVP built to scale, launched in eight weeks with monitoring and CI/CD from the start.
8-week MVP · scalable cloud foundationNimbus Cloud Migration
Nimbus Media Group
Migrated a fragile monolith to containerised cloud infrastructure with zero downtime - and a lower bill.
Zero-downtime migration · 40% cost cutYou Bring the Vision. We Build the MVP, Launch It, and Help You Own the Market.
Start Risk Free