Built to make property decisions clearer
Too many property decisions still rely on scattered data, patchy local knowledge and guesswork. Indeval brings the signals behind an area into one clear view, so property professionals can research faster, ask better questions and spot risks earlier.
Good decisions need more than a listing
A property can be inspected in an afternoon. The area around it is harder to understand, and it matters just as much. Prices, safety, schools, healthcare, connectivity and how a neighbourhood is changing all shape whether a place is right.
That evidence exists, but it is spread across dozens of official sources and written for analysts, not people. Indeval does the reading and the joining up, then explains it in plain English. The result is a report you can use, share and stand behind.
We are based in York and work with property professionals across North Yorkshire and beyond.
The team behind Indeval
Indeval is built by a small team spanning product, development and data science. That mix is what turns fragmented location data into something clear, usable and genuinely useful.
Dan Tarbuck
Product, Marketing and AI Systems. Leads positioning, the website experience and the AI report workflow, making sure the product is clear and commercially useful.
Josh Dale
Lead Front-End Developer. Turns complex data and model outputs into a clear, usable interface, so Indeval is practical rather than just capable.
Ralph Bradley
Lead Data Scientist. Leads the scoring and modelling approach, and the logic behind a more useful and defensible view of location data.
How Indeval took shape
The first idea. While working on a separate data project, Ralph saw a chance to use similar datasets to better understand the areas behind property values.
Early exploration. Ralph and Josh looked closer at where better use of data could bring more clarity to property decisions.
Revisited. Dan joined and the idea was reassessed through a product and commercial lens.
A clearer direction. Combining structured location data with modern LLM workflows pointed to something far more practical than the original concept.
Indeval Ltd incorporated. The company was formally established to build the product properly.
First public introduction. Indeval was introduced to businesses in Leeds and North Yorkshire, validating demand for a clearer area research tool.
Opened to early users. Following encouraging feedback, Indeval opened to its first users.
Having listened to our early users, and the clear feedback provided, we paused and took time to refocus.
Launch for personal users. The focus now is making the product more useful, easier to read & more defensible. Bringing real value to anyone using it.
Building on the personal report we are due to launch professional subscriptions, all highly targeted to each niche.
How we turn complex data into clearer decisions
Indeval brings many location and property signals into one view. We combine trusted datasets, structured comparison and model-supported interpretation so you can assess an area faster and with more confidence.
Built using signals such as property data, demographics, crime and safety, schools, connectivity and planning context.
Data inputs
We gather signals from trusted public and commercial datasets: property, demographic, infrastructure, planning and local context.
Structured comparison
Raw data on its own is hard to compare. We organise the inputs into consistent layers so areas can be assessed fairly.
Scoring and interpretation
We apply scoring, modelling and reporting rules to surface what matters. The aim is not one number, but a picture you can understand.
Decision-ready output
A clear report that supports faster, more defensible decisions. Indeval reduces guesswork. It does not replace your judgement.
Want to see how Indeval fits your work?
If you work in property and want a clearer way to assess areas, we would be glad to show you how Indeval works.