The agentic operating system for data infrastructure.
Hypr connects your systems, designs a warehouse around how your business works, and keeps it running, turning scattered data into a clean, reliable foundation your team can query and act on.
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The problem
Sound familiar?
Your data is in five to ten systems. None of them agree.
- Accounting, CRM, internal apps, point of sale, and the Excel files that arrive by email.
- Questions that need more than one system take days, or go unanswered.
- Any downstream system you bring in works from the same scattered data.
The proper fix is a warehouse. But it has always been out of reach.
- It’s costly: specialists to build it, then a salary to keep it running.
- It’s slow: conventional data engineering takes months before you see a single answer.
- It requires constant effort to keep business data and security requirements in sync.
You tried shortcuts, but aren’t getting the results you want.
- Connecting any tool to each system only works for simple, isolated questions.
- Business logic isn’t centralised, so it can’t be repeated reliably or audited.
- Ask the same question twice and you can get two different answers.
Solution
Hypr manages your data infrastructure end to end.
What you get
What you get
Once the warehouse is live, your business is ready to make decisions on its data.
Answers to your questions
Ask in plain language, in the AI tools you already use, including questions that span several systems. Answers come from the warehouse, with your business rules applied.
Reports that stay current
The numbers the business runs on, defined once and refreshed as the warehouse updates, so every team works from the same figures.
Your history, kept
Most systems only show today. The warehouse keeps every change, so you can see last month-end or compare this quarter with last.
A documented business
Every table and field is described, with the rules behind it, and kept up to date as things change.
Safe room to change things
Separate development, test and production environments. Changes are built in development, checked by your team and tested, and once safe are moved to production.
One place to connect
Your AI assistants, apps and tools draw from the warehouse instead of from each system.
Process
Live in days.
One short scoping session, then the agents do the heavy lifting. Your team answers their questions, and you’re live in days.
Your goals, then your data
We start with your goals: what you want from your data, and the questions you need answered. Then we map your systems and the data that lives outside them.
The agents build, your team answers their questions
You give read-only access to each system. The agents design and build the warehouse, and ask precise questions, with the evidence, where the data disagrees. Your Hypr engineer works through the harder ones with your team.
Checked and moved to production
Every load is reconciled, so each source record has arrived or been set aside with the reason, and changes move from development to UAT to production once safe.
The agents keep it running
The agents keep the warehouse in sync, fix pipelines when a source changes, and add new systems or questions when you need them.
Trust and security
Your data in one place, under your control
Access to your data is managed in one place, not system by system.
Who sees what, down to the row
Row-level security, managed through an API. Each person and AI assistant sees only what they should: a regional manager sees their own region, and payroll stays with finance.
Read-only, with every key in one place
Hypr only reads from your systems and never writes back. The keys to them are held in one place, not scattered across laptops and tools, and can be revoked in one go.
Encrypted at rest
Your data is encrypted while it is stored, and on its way in from your systems.
Isolated environments
Containerised development, UAT and production environments, kept separate in line with security best practice.
Every load reconciled
Every record in your systems either arrives in the warehouse or is set aside with the reason. Nothing goes missing quietly.
Yours to keep
You own the warehouse and the pipelines. If you ever leave, you keep both.
FAQs
Frequently asked questions
Do we need a data team?
No. You need one or two people who know how the business runs, to answer the agents’ questions while the warehouse is built. You don’t need technical staff.
How is this different from connecting ChatGPT or Claude to our systems?
That only works for simple, isolated questions. But the AI has to combine your systems and apply your rules again on every question, so answers can be slow, costly and inconsistent. And with a separate connection to each system, it’s hard to control what each person’s AI can see. A warehouse combines your systems once, with the rules built into the data, and access is managed in one place. Your AI tools work from that.
How long does it take?
Typically a day or two to go live: a short scoping session, then the build and your sign-off. With straightforward data it can take just a few hours. More complex setups, or systems that are harder to get access to, take a bit longer. After that, the agents run it.
Do you change anything in our systems?
No. Hypr has read-only access to your systems and never writes back to them.
Where is our data hosted?
Your choice: hosted by Hypr, or entirely on your own infrastructure, on-premises or in the cloud.
See what a warehouse would do for your business
Book a 30-minute call. We’ll map your systems and the data that lives outside them, and show you what Hypr would build.