One Data Refinery, Many Use Cases

The AI engine room for your project. Configurable across web, desktop and cloud for seamless knowledge management without the overhead.

Building on:

OpenAI logoAutodesk logoMicrosoft logo
Hoppa platform interface
Hoppa document processing
Hoppa document processing
Hoppa Ecosystem

Kit-of-parts philosophy tailored to your workflows

From Software-as-a-Service to custom self-hosting, our integrated stack is designed to meet your teams where they're working today and scale with them over time.

Hoppa Web

Easy-to-use web app that turns anyone into a data engineer. Connect to data sources, define metadata specifications and interrogate anaylsis results.

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Hoppa Web interface

Hoppa Cloud

Backend orchestration service for data analysis at industry scale. Handles document batching, dynamic routing and more. Callable from Hoppa Web or your own applications via API.

Summarise document
Extract dates
Classify to ISO 19650

Hoppa Workbench

Python SDK of content extractors, converters, classifiers and more, optimised for built environment workflows. Built on Hoppa's proprietary workflow definition language (WDL).

Key benefits

Lower the barrier to exemplar information management at scale

Retain custody of data

Connect Hoppa to your document stores and choose which documents to analyse - in batches or in bulk. Documents are streamed for analysis, keeping you in control of data custody and security within your tenant.

Quality assure outputs

Human-in-the-loop AI that explains its thinking and flags when human assistance is needed - focussing expert human judgement where it's needed most.

Prevent knowledge decay

New metadata attributes and business definitions can be added over time, keeping documentation relevant and avoiding drift.

Optimise resource utilisation

Drastically cheaper than manual alternatives, more cost-effective than brute force methods with off-the-shelf LLMs.

Infrastructure at scale

Process 1000s of documents per hour - job queuing and parallel processing give peace of mind when submitting analysis jobs in bulk.

Built environment native

Start ready loaded with information standards like NBS Uniclass and the UK National Annex to ISO 19650. Our team of AECO natives are on-hand to extend the library to suit your specification.

Speak with our team

Tell us about your challenge and we'll identify a tightly scoped opportunity to prove Hoppa's value - with your own data, on your terms.

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Our solutions

Explore by domain

Hoppa is easy to adapt to the needs of different departments - meaning you can buy with confidence, safe in the knowledge that Hoppa can find best fit regardless of the circumstances.

Bill of Quantity Rates Extraction

Bill of Quantity Rates Extraction

Project & Cost Control

Extract and analyse rates from tender documents and historical data.

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Building Regulations Compliance

Building Regulations Compliance

Asset & Facilities Management

Demonstrate Golden Thread compliance without reorganising your entire archive. Screen, classify, and signpost existing documentation to meet Building Safety Act requirements.

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CDM 2015 As-Built Compliance

CDM 2015 As-Built Compliance

Construction; Quality, Safety, Security & Environment

Respond to regulatory requests with confidence. Screen your asset documentation, identify gaps, and demonstrate compliance at pace.

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Commodity Price Tracking

Commodity Price Tracking

Legal, Commercial & Procurement

Transform decades of invoice data into procurement intelligence. Extract, classify, and analyse material and labour costs at scale.

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Delivery Lessons Learned

Delivery Lessons Learned

Construction; Design & Engineering; Quality, Safety, Security & Environment

Identify patterns from project archives to do more of what's worked and less of what's not.

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Design Progress Tracking

Design Progress Tracking

Design & Engineering; Project & Cost Control

Derive objective progress data directly from design deliverables. Eliminate optimism bias and align CDE outputs to your work breakdown structure.

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For developers

Workbench Docs

For teams building their own solutions who want to focus on the value-adding ‘so what’ instead of months on data engineering pipelines.

View documentation