Scalable Data Warehousing for Maritime Intelligence & Ship Tracking
Turning complex maritime, market, and operational data into a trusted analytics foundation. Maritime intelligence is one of the most data-intensive sectors in the world. Vessel…
Built on trusted platforms








Our core services
Our data engineering services span five core areas, from robust pipelines to governed platforms and enterprise AI solutions, designed with precision, reliability and agility at their core.
Tell us about your data challenge. A senior engineer will scope it with you and map the fastest path to value.
Ready to turn complex data into clarity, action and results?
The numbers
What the platforms we engineer handle today.
Why HippoScripts?
Enterprises choose HippoScripts, a data platform company delivering data and AI across regulated, large-scale estates. We begin with precision in data engineering, on Azure and beyond, then scale into analytics and AI that support data-driven decision making.
Delivery across regulated, large-scale data estates for banks, funds and global manufacturers, with the governance and SLAs those environments demand.
We build reliable data foundations before analytics and AI, because great AI only works on top of data you can trust.
From precision data engineering we scale into analytics and AI designed to deliver clarity, action and results your business can measure.
From architecture to delivery
We define scalable, secure platform designs, the blueprint your data and AI will stand on.
We build reliable data and AI foundations, pipelines and platforms engineered as code, tested and observable.
We enhance performance, cost and usability, so the platform stays fast, affordable and easy to use as it scales.
We deploy production-ready solutions, and stay on hand to keep them secure, scalable and running.
Recent case studies
A selection of recent work, from maritime intelligence to fund-administration compliance.
Use Cases
Turning complex maritime, market, and operational data into a trusted analytics foundation. Maritime intelligence is one of the most data-intensive sectors in the world. Vessel…
Use Cases
In the windows and doors industry, efficiency depends on how well sales, measurements, quotations, operations and production work together. A customer enquiry needs to become…
Use Cases
Fund administrators operate in a data-heavy and highly regulated environment. Every reporting cycle depends on accurate fund data, investor data, instrument information, transaction records, valuations, classifications,…
Data engineering, warehousing and AI, built on strong foundations. Contact us today.
FAQs
Short, direct answers. Anything not covered here, ask an engineer, you’ll get a reply, not a sales sequence.
With a two-week audit of sources, models, cost and risk. You leave with a target architecture, a delivery plan and a blunt read on what’s actually blocking value, and you keep all three whether or not we go further.
Yes. We work natively across Azure, Microsoft Fabric, Synapse, Databricks, Snowflake and AWS. Where a platform is genuinely the wrong fit we’ll say so and show the numbers, but we don’t rebuild what already works to justify a project.
A dedicated team of senior data engineers and architects who have delivered across regulated, enterprise-scale estates. The people who scope your programme are the people who deliver it, backed by established delivery and governance standards.
Access control, PII masking, lineage and retention are designed in from the first commit, not retro-fitted the week before an audit. Policy is versioned in Git alongside the pipelines it governs, so every access decision traces back to a reviewed commit.
Almost always the data first. AI on ungoverned sources produces confident answers nobody can verify, which costs more to unwind than it ever saved. Once lineage and quality gates are in place, the AI work gets faster, cheaper and defensible.
Share your work email and our team will identify key opportunities to improve efficiency, visibility and decision making across your data environment.
Our team will get back to you within one working day.
Replace this with the client’s own words, two or three sentences about the outcome they saw work best. Keep it specific and in their voice.
Replace this with the client’s own words, what problem they came with, what changed, and what they would tell a peer considering HippoScripts.
Replace this with the client’s own words, a concrete detail (platform, timeline or result) makes a testimonial far more credible.