Data Infrastructure That Makes AIand Decisions Possible.
AI systems are only as reliable as the data behind them. We build the infrastructure layer that most companies skip — ETL pipelines that handle dirty data, vector databases that make enterprise knowledge searchable, and RAG systems that ground AI outputs in your real information.
ETL Pipeline for Fragmented ERP Data
A multi-site industrial group runs three different ERPs. We build a unified ETL pipeline that extracts, normalizes, deduplicates, and loads data into a central analytical database — giving leadership a single version of truth.
RAG System for Technical Documentation
An engineering company maintains 40,000 pages of technical manuals. We build a Retrieval-Augmented Generation system with vector indexing and AI-powered search where field engineers get source-cited answers in seconds.
Real-Time Data Platform for E-Commerce
A D2C brand sells across its own shop, Amazon, and wholesale partners. We build a data platform with real-time ingestion from all channels and automated reporting that reconciles revenue and inventory daily.
Knowledge Base Infrastructure for AI Agents
A professional services firm has knowledge trapped in 15 years of reports and emails. We build ingestion pipelines, embedding models, and vector storage that turns institutional memory into a queryable knowledge base.
Data Audit
Map your data landscape, sources, and quality gaps
Pipeline Architecture
Design ETL flows, schemas, and transformation logic
Production
Build and deploy pipelines with automated testing
Monitoring
Data quality alerts, pipeline health, and continuous optimization
Data Audit
Map your data landscape, sources, and quality gaps
Pipeline Architecture
Design ETL flows, schemas, and transformation logic
Production
Build and deploy pipelines with automated testing
Monitoring
Data quality alerts, pipeline health, and continuous optimization
Automated data management
Pages indexable
To working prototype
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