Data, platform, analytics and AI consulting

Fix the foundations.
Scale the impact.

Most AI problems are data problems. We get the data, the platform and the metrics right first, then scale the analytics and AI that have proved their worth.

Book a 30-minute call See how we work

Founded 2022Consultants in Europe and AsiaFintech / Automotive / Retail / SoftwareGoogle Cloud / Snowflake / Databricks / Azure

The problem

Most data work gets delivered. Much less of it changes a decision.

A company buys a warehouse and a BI tool, hires analysts and runs an AI pilot. A year on, finance and product still report different revenue numbers, few people open the dashboards, and the pilot is waiting for someone to take it to production. In our experience the technology is rarely what failed. The foundations were skipped, nobody owned the result and nobody agreed how to tell whether it worked. We start with those.

Services

Data, platform, analytics and AI in one firm

Data

Decide what to build and who owns it.

Data strategyWhat to build first, who owns it and what it costs, written so that leadership can fund it.Data product managementOwners, roadmaps and usage measures for your metrics and data products.

Platform

Build what everything else runs on.

Data platform engineeringWarehouses, lakehouses, pipelines and data models on Google Cloud, Snowflake, Databricks or Azure.Experimentation and customer data platformsChosen or built, then run as products: the internal platforms your product and marketing teams depend on.

Analytics

Turn the data into answers.

Product analytics and metricsTracking you can trust, one definition per metric and dashboards built for a decision.Advanced analyticsForecasting, segmentation and customer value models, each tied to a decision someone has to make.

AI

Put models to work on top.

AI strategy and governanceWhich use cases are worth building, what your data can support, and how to run AI under GDPR and the EU AI Act.AI implementationAssistants, retrieval systems and agents taken to production, with evaluation from the first week.

We also build purpose-built full-stack applications when no existing tool fits. Custom software

How we work

Three ways to work with us

Diagnostic

2 to 4 weeks

A fixed-scope review of your data, platform, analytics or AI setup. You get a written assessment, a prioritized roadmap and a cost estimate for the first build.

Build

6 to 12 weeks

We deliver one defined thing: a data platform, a metric layer, an experimentation setup or an AI assistant. It comes with documentation and a handover to your team.

Fractional lead

By the month

A senior data and product leader inside your company for an agreed number of days each month, as head of data or data product manager, until you hire one.

A senior consultant leads every engagement, from the first call to the handover.

Industries

Where we work

FintechData platforms and experimentation for regulated products that are growing fast. AutomotiveData mesh and data product ownership across organizations with many plants, brands and markets.

Retail and e-commerceSearch, catalog and customer analytics tied to revenue.

SaaS and digital productsProduct analytics, shared metrics and self-serve data for product teams.

Work

Work our founder has led

Led as an independent consultant and product leader. Client names are withheld.

European consumer fintechData platform strategyPlatform product lead Indian consumer fintechExperimentation and personalization platformProduct manager Global automotive manufacturerData mesh strategy and roadmapConsultant

Questions

Questions we get asked

What does Nilaad do?

Nilaad is a data, platform, analytics and AI consulting firm. We write data strategies, build data platforms and analytics, and take AI use cases to production for scale-ups and mid-market companies.

Where is Nilaad based?

We work remotely with clients in Europe, the UK, the US, the Middle East and South-East Asia. Our consultants are based in Europe and Asia.

Who leads the work?

A senior consultant leads every engagement from the first call to the handover. Specialists join when the work needs them.

Which platforms do you work with?

Google Cloud and BigQuery, Snowflake with dbt, Databricks, and Microsoft Azure and Fabric. We recommend a platform based on your workloads and your team.

How do we start?

With a 30-minute call. If there is a fit, we suggest a diagnostic of 2 to 4 weeks that ends in a written roadmap.

What does it cost?

We scope and price each engagement after the first call. A diagnostic has a fixed scope and a fixed fee.

Fix the foundations.Scale the impact.