✦Service
Numbers that explain themselves.
Many teams have data but little time to read it. We clean and connect your data sources, build dashboards people actually use, and add forecasting and plain-language explanations of what changed. The aim is simple: fewer spreadsheet exports, earlier warnings and decisions based on evidence.
01What we build
What you get.
- 01
Data pipelines
Automated collection and cleaning from ERP, CRM, e-commerce, spreadsheets and databases into one reliable store.
- 02
Management dashboards
Focused dashboards for sales, operations and finance, designed around the decisions each team makes.
- 03
Demand and sales forecasting
Forecasts by product, region or branch, with ranges rather than false precision.
- 04
Anomaly alerts
Automatic alerts when a metric moves unusually, such as a sudden drop in orders or a spike in returns.
- 05
AI-written summaries
Weekly plain-language summaries of what changed and likely reasons, generated from the data and checked against it.
02Use cases
Where it pays back.
- 01
Retail and e-commerce
Forecast demand by SKU and store to reduce stock-outs and overstock.
- 02
Hospitality
Anticipate occupancy and staffing needs from bookings, seasonality and events.
- 03
Logistics
Predict volumes by lane or hub and spot delivery performance issues early.
- 04
Finance and lending
Track collections, cash flow and portfolio risk indicators in one view.
- 05
Education businesses
Understand enquiries, enrolments and retention across centres or programmes.
03Process
How we build it.
- 1
Agree the questions
We start from the decisions you need to make and the metrics that inform them.
- 2
Connect and clean
We connect sources, fix data quality issues and define metrics consistently.
- 3
Build and forecast
We build dashboards and forecasting models, and backtest forecasts against past periods.
- 4
Adopt and refine
We train users, schedule reports and refine the dashboards based on how teams use them.
Typical stack
- Python / pandas
- dbt
- Postgres / BigQuery / Snowflake
- Power BI
- Metabase
- Prophet / statsforecast
- scikit-learn
- Airflow
04Where we work
Teams we work with.
- Dubai & UAEAI chatbots, agents and automation for businesses in Dubai and the UAE — Arabic and English assistants, WhatsApp-first, delivered remotely in your working day.
- Europe & UKAI agents, RAG search and automation for UK and EU companies — privacy-first design with GDPR and the EU AI Act in mind, EU data residency, many languages.
- USAAI agents, copilots and apps for US startups and enterprises — security-minded engineering, HIPAA-aware design and async delivery across US time zones.
- IndiaAI chatbots, document automation and apps for Indian businesses — GST-ready invoice processing, Indian-language WhatsApp bots and DPDP-aware design.
05FAQ
Common questions.
ask us anything else →
01Our data is messy. Can you still help?
Almost every project starts with messy data. The first phase focuses on connecting sources, fixing duplicates and definitions, and documenting what each metric means. We tell you early where data gaps limit what analysis or forecasting can reliably do.
02How accurate will the forecasts be?
That depends on your history, seasonality and how much outside events affect demand. We backtest models on past data so you can see realistic error ranges before relying on them, and we present forecasts as ranges rather than single numbers.
03Which BI tool should we use?
We work with Power BI, Metabase, Looker Studio and custom dashboards. If you already have a tool, we usually build on it. If not, we recommend one based on your budget, users and existing Microsoft or Google setup.
04Can AI explain changes in our numbers?
AI can draft plain-language summaries of what moved and suggest likely drivers based on your data. We ground those summaries in the underlying figures and treat them as a starting point for your team's judgement, not a final verdict.
06More services
Other things we build.
Have a process worth automating?
Tell us about it — we'll reply with how data analytics & forecasting could handle it, what data it needs and a rough plan. The first conversation is free.