A small, expert team building data pipelines, cloud infrastructure, and agentic AI systems — delivered at a pace and price that makes sense for your team.
From raw data ingestion to autonomous AI agents — we cover the full engineering stack.
Robust ETL/ELT pipelines, data lakes, and warehouses architected to scale reliably with your business needs.
Resilient, cost-efficient cloud infrastructure across AWS, Azure, and GCP — designed for security and scale.
End-to-end data and ML pipelines with monitoring, alerting, and automated recovery baked in from the start.
Embedding LLMs and AI capabilities directly into your systems — APIs, workflows, and user interfaces.
Autonomous retrieval-augmented agents that reason over your domain data, retrieve context, and take action.
Turning complex datasets into clear dashboards and decision-ready insights your team can act on immediately.
Rewriting, refactoring, and enhancing legacy codebases in Java, Python, and Go — cleaner architecture, better performance, lower maintenance burden.
From rescuing legacy systems to shipping production AI pipelines — here are problems we have tackled for real clients.
Challenge15 years of siloed data across on-premise Oracle databases and flat files, blocking a move to a modern SaaS CRM.
OutcomePhased ETL migration to Snowflake + Salesforce Data Cloud in 10 weeks — zero downtime, full historical data preserved.
ChallengeSlow, expensive Tableau reports running off an aging on-prem SQL Server — insights were days late and IT was overwhelmed.
OutcomeMigrated to GCP BigQuery with a streaming ingestion layer. Dashboards refresh near real-time; infra costs dropped 45%.
ChallengeEmployees needed to query thousands of internal policy documents without a dedicated search team or expensive enterprise search licence.
OutcomeBuilt an agentic RAG system on AWS Bedrock — employees ask in plain English, the agent retrieves, reasons, and responds with cited sources in under 3 seconds.
A transparent look at how our data engineering and agentic AI pipelines are structured end-to-end.
A tight-knit group of engineers who move fast, build clean, and deliver real outcomes — without the overhead of a large agency.
We specialise sharply rather than spreading thin — every project gets our complete attention.
Small team means fast iterations, direct communication, and zero bureaucratic overhead.
We stay at the cutting edge — from the latest LLM releases to emerging cloud paradigms.
We work closely with your team, not around it — full transparency from day one.
Curious about what we build? We will walk you through a live demo — no sales pitch, just real engineering.
$ run-pipeline --config prod.yaml --agent rag-v2
✔ Loading vector store (Pinecone · 2.4M vectors)
✔ Connecting data sources (S3, Snowflake, Postgres)
✔ Initialising RAG agent (Claude 3 · 200k context)
✔ Orchestrating pipeline (Airflow · 12 tasks)
▋ Running inference loop…
Interested in working with us or seeing a live demo? Drop us a message and we will get back to you within 24 hours.
datainfscale@gmail.com
Remote · Worldwide