Data engineering
Reliable ETL/ELT pipelines, warehouse modeling, and data quality checks at ingestion.
Data & AI
Turn raw data into decisions and intelligent automation
Overview
Data should drive action — not sit in silos. We build pipelines, warehouses, dashboards, and AI assistants that help teams see clearly and move faster with evidence-backed decisions.
From ETL jobs and BI dashboards to RAG-powered copilots and model deployment, we meet you where you are: fixing messy spreadsheets, unifying sources, or adding intelligence to existing products.
We define KPIs with stakeholders before writing queries, so every dashboard answers a real business question. Pipelines are documented, testable, and built for the team to extend without constant vendor dependency.
Our pragmatic approach to AI means piloting fast, measuring impact, and scaling what works — no hype projects that never reach production.
Capabilities
What we deliver for every data & ai engagement.
Business intelligence
Executive dashboards, drill-downs, and scheduled reports stakeholders actually read.
LLM & copilots
RAG systems, document Q&A, and internal assistants grounded in your knowledge base.
Predictive analytics
Forecasting, churn models, and recommendation engines tied to business KPIs.
MLOps
Model versioning, monitoring, retraining triggers, and safe rollout patterns.
Data governance
Access controls, lineage documentation, and PII handling aligned to policy.
How we work
A clear four-step process from discovery to delivery.
- 1
Data audit
Map sources, quality issues, and the questions teams need answered.
- 2
Model & pipeline
Schema design, ingestion jobs, and validation rules.
- 3
Insights layer
Dashboards, APIs, or AI interfaces consuming trusted data.
- 4
Scale & govern
Monitoring, access policies, and iteration with business users.
10M+
Records processed daily
60%
Faster reporting cycles
8
AI pilots in production
4
Data sources unified avg.
Projects
Recent client work in data & ai.
Retail Chain
Operations Analytics Dashboard
Unified sales, inventory, and footfall data with regional drill-downs and automated daily emails.
Regional managers saved 8 hours/week on manual reporting.
Power BIETLPostgreSQL
SaaS Product Team
Support Copilot Pilot
LLM assistant trained on product docs and ticket history to draft consistent support replies.
Average handle time dropped 25% in the pilot cohort.
OpenAIRAGNode.js
E-commerce Brand
Demand Forecasting Model
Time-series forecasting for SKU replenishment integrated with existing ERP exports.
Stockouts reduced 18% while holding costs stayed flat.
PythonMLForecasting