Turn your data into decisions, models and AI
Internalytica is a data & AI consultancy. We build data platforms, BI, machine learning and LLM solutions — from first proof of concept to production.
Everything data, under one roof
AI architecture & LLMs
Production-grade generative AI: retrieval-augmented assistants, agents and document automation built on your own data, safely.
Machine learning
Predictive models that move a number: demand forecasting, churn, pricing, scoring, recommendations, anomaly detection.
Data engineering & platforms
Pipelines, warehouses and lakehouses that your team can trust. We design ingestion, modelling and orchestration so data arrives clean, on time and documented.
BI & analytics
Dashboards people actually open. We define metrics once, build a semantic layer and ship reporting that answers real business questions.
Data science & research
Rigorous answers to hard questions: causal analysis, A/B testing, segmentation and statistical modelling.
Why teams work with us
We are engineers and scientists who care about outcomes, not slide decks. Every project is tied to a measurable business metric and shipped into your real environment.
A simple process that gets to value fast
We de-risk every project by proving value early and scaling only what works.
What we typically deliver
Examples of problems our clients bring to us.
Demand forecasting
Forecasts per SKU and location that cut stock-outs and overstock, integrated into planning tools.
Internal AI assistant
A RAG assistant over internal docs, tickets and wikis with citations, access control and evaluation.
Single source of truth
A modern data warehouse and BI layer replacing dozens of spreadsheets and conflicting reports.
Churn & LTV models
Early-warning scores that tell customer success who to call this week and why.
Document automation
LLM pipelines that extract, classify and validate data from invoices, contracts and forms.
Anomaly detection
Real-time detection of fraud, outages or data issues, with alerts your team can act on.
Start with a proof of concept in weeks, not quarters
Pick one question worth answering. We scope it, build it on your real data and show you the result — then you decide what to scale.
Frequently asked questions
How does a typical engagement start?
With a free 45-minute call, then a short paid discovery (usually 1–2 weeks) where we look at your data, systems and goals and propose a scoped first project with a fixed price.
Do you work with our existing stack?
Yes. We are tool-agnostic and prefer to build on what you already have — cloud, warehouse, BI tool — unless there is a clear reason to change it.
Who owns the code and models?
You do. Everything we build lives in your repositories and cloud accounts, with documentation and a hand-over so your team can run it.
How do you handle sensitive data?
We work inside your environment under NDA, follow least-privilege access, and can design for GDPR and industry-specific requirements from day one.
Can you support us after launch?
Yes — through a monthly retainer for monitoring, improvements and new use cases, or by helping you hire and onboard your own data team.