Data and analytics platforms

Why most real estate data products fail to convert.

The data is usually good. The problem is that the digital product around it does not communicate value fast enough, and the go-to-market engine does not reach the right buyers at the right time.

• ×Dashboards are built by data engineers, not product designers, so the interface overwhelms users with raw metrics instead of guiding them to the insight that drives a decision.
• ×The website explains what data the platform collects but does not show the buyer why that data matters to their workflow, their portfolio, or their next investment decision.
• ×API documentation is an afterthought, making integration painful for developer buyers who will abandon the evaluation if onboarding takes more than a day.
• ×CRM is set up for generic SaaS sales, not for data product cycles where buyers need sandbox access, sample datasets, and proof-of-value before they sign an annual contract.
• ×Marketing targets broad analytics keywords instead of the specific real estate roles like asset managers, underwriters, and portfolio analysts who actually budget for data products.

Who we build for in real estate data.

• Valuation and appraisal platforms

  Companies building automated valuation models, comparable analysis tools, or appraisal workflow software. We design the UX that makes complex valuation outputs feel trustworthy to lenders, brokers, and asset managers who make decisions based on them.

• Market intelligence and benchmarking

  Platforms providing market trends, rental benchmarks, occupancy data, or investment scoring to real estate operators and investors. We build dashboards and report experiences that make data products sticky enough to justify annual subscriptions.

• Location and spatial analytics

  Companies offering geospatial data, walk score analysis, demographic overlays, or site selection tools for developers, retailers, and institutional investors. We design map-based interfaces that make spatial data actionable, not decorative.

• Portfolio analytics for investors

  Platforms serving REITs, fund managers, and family offices with portfolio tracking, risk scoring, and performance attribution. We build investor-facing dashboards where complex financial data is presented with the clarity and precision institutional buyers expect.

• Construction and development data

  Companies tracking permits, project pipelines, material costs, or labour analytics for developers and general contractors. We build reporting tools and alert systems that turn raw construction data into planning intelligence.

• Data API providers

  Platforms selling raw or enriched real estate data through APIs to other proptech companies, lenders, or institutional buyers. We design developer portals, API documentation, sandbox environments, and the pricing pages that convert technical evaluators into paying customers.

1. 01

   Product and data audit

   We review your data model, current product UX, buyer profile, and go-to-market motion. You get a clear picture of where the product experience leaks users and where the acquisition engine underperforms.

2. 02

   Strategy and scope

   We define the product, UX, SEO, and marketing priorities for the next 90 days. Everything is scoped with timelines and fixed pricing. Data pipeline dependencies and third-party integrations are mapped before design starts.

3. 03

   UX, design, and architecture

   We design the dashboard experience, product pages, API portal, and onboarding flows. Data visualisation patterns, chart libraries, and interaction models are prototyped and tested with real users before production begins.

4. 04

   Build and integrate

   We build the platform with dashboard components, API endpoints, CRM, and analytics wired in. Our 60-day MVP track ships the core product. Larger platforms with enterprise dashboards, AI layers, and mobile apps run 12 to 20 weeks.

5. 05

   Launch and onboarding

   We launch with conversion tracking, free trial flows, and lead routing in place. Post-launch sprints cover dashboard performance, search indexing, onboarding funnel optimisation, and API documentation refinement based on developer feedback.

6. 06

   Scale and compound

   Monthly retainers covering SEO, AEO, performance marketing, content, and product iteration. Quarterly reviews against MRR, trial-to-paid conversion, and enterprise pipeline so growth stays tied to revenue, not dashboard logins.