“Devlex migrated our entire fintech backend to AWS with zero downtime over a single weekend. Infrastructure costs came down 35% and their DevOps team now runs our 24/7 monitoring under a clean SLA.”
AI Solutions
AI Data Engineering Services
Building strong data foundations for reliable AI at scale.
AI models are only as good as the data behind them. We design pipelines that ingest, clean, label, and version datasets — with feature stores, vector databases, and real-time streams ready for training and inference.
What We Deliver
End-to-End AI Data Engineering Services
- ETL & ELT pipeline design
- Vector database setup
- Data labeling workflows
- Feature store architecture
- Real-time streaming ingestion
- Data quality monitoring
Why Choose Devlex
Business Outcomes That Matter
✓Production-grade training data
✓Faster model iteration
✓Reduced hallucination risk
✓Compliance-ready data lineage
Technologies
Tools & Stack We Use
We pick the right technology for your goals — not the trendiest framework.
- Apache Kafka
- Airflow
- dbt
- Pinecone
- PostgreSQL
- Snowflake
Our Approach
- Discover — Understand goals & constraints
- Design — Architecture & UX blueprint
- Build — Agile sprints with weekly demos
- Launch — Deploy, test & support
0Years of Experience
0Projects Delivered
0Global Clients
0In-house Experts
0Countries Served
0Client Retention
“They took over a half-finished React Native app another agency had abandoned, stabilized it in six weeks, and shipped the features our investors were waiting on. The code audit they delivered in week one was worth the engagement on its own.”
“As a Mumbai-based startup we evaluated a dozen agencies before choosing Devlex for our logistics SaaS. They built the MVP in ten weeks, helped us close our seed round with a working product, and now run our entire engineering function.”
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