The BCONZ platform

A real-world data platform built on evidence

Many real-world data companies sell access to a fixed database. BCONZ connects research demand with governed healthcare data from hospital, laboratory and research partners — and uses three capabilities to make every step evidence-led.

HARM is a data readiness assessment that shows what a dataset can support. PIA brings evidence to clinical trial site selection and data partner identification. DIA finds the organisations whose published papers, grants and trials say they need data like yours.

Request a demonstration Explore the platform

HARM · Healthcare data readiness assessment

For hospitals, laboratories and data partners

PIA · Provider Intelligence Agent

For life sciences, CRO and research teams

DIA · Demand Intelligence Agent

For hospitals, laboratories and data partners

How it fits together

From a real-world dataset to the research that needs it

Each capability answers one question in the partnership. Together they replace guesswork with evidence at every step.

1
HARM
Assess
A data partner learns what its data can support — patients, follow-up, coding, identifiers.
2
PIA
Discover
Research teams find the provider organisations most likely to hold the data they need.
3
DIA
Match
Stated research demand is matched to a specific dataset, with every need checked.
4
BCONZ
Deliver
Governed, institution-led collaboration takes the match to a research-ready dataset.

Capabilities

Data readiness, site selection and demand intelligence

HARM

Healthcare data readiness assessment

For hospitals, laboratories and data partners

Before a hospital or laboratory enters a research data partnership, it needs to know what its data can actually support. HARM is BCONZ's data readiness assessment: it reads your data exports inside your own environment and produces a readiness report on patients, longitudinal follow-up, coding and identifiers.

Learn more about HARM Request a data readiness assessment

What it does

Runs read-only on your own systems; network use is blocked in the tool itself
Measures patients, visits and real longitudinal follow-up
Shows whether diagnoses, drugs and labs are coded or free text
Flags columns carrying identifiers that must be removed before research use
Assesses whether tables can map to a research data model

What you get

Readiness reportLongitudinal depthCoding and identifier reviewCohort floor counts

PIA

Provider Intelligence Agent

For life sciences, CRO and research teams

Choosing the right sites and data partners decides whether a study recruits and whether a dataset can be assembled. PIA — BCONZ's Provider Intelligence Agent — turns a research requirement into a universe of candidate hospitals, research sites and provider networks, built from public trial, publication and provider evidence.

Learn more about PIA Discuss a site or partner search

What it does

Turns a data requirement into a candidate provider universe
Draws on public trial, publication and provider evidence
Ranks with stated rationale and visible evidence states
Reports unknowns as unknown — no imputed patient counts

What you get

Provider shortlistEvidence per providerMarket and country view

DIA

Demand Intelligence Agent

For hospitals, laboratories and data partners

Who buys healthcare data, and what do they actually need? Research teams answer that question themselves — in the limitations sections of their papers, in their funded grants, and in the countries their trials cannot reach. DIA, BCONZ's Demand Intelligence Agent, reads that published demand and matches it against a specific dataset.

Learn more about DIA See demand for your data

What it does

Searches by disease, drug, biomarker, data type, population or organisation
Covers Europe PMC, ClinicalTrials.gov, NIH, EU CTIS and CORDIS, UK ISRCTN and UKRI
Matches each stated need to a dataset: met, not met, or not known
Scores that do not separate organisations are shown as flags, not numbers
Contacts limited to details published for contact, each with its source and lawful basis

What you get

Ranked demand with verbatim evidenceDataset-to-buyer fitProvenance-first contacts

Principles

Built to be trusted by the people whose data it concerns

The same rules run through all three capabilities, in line with our responsible data and responsible AI principles.

Evidence over estimates

Every ranking carries the public evidence behind it. Where evidence is absent, the answer is “unknown” — never an imputed value.

No manufactured precision

Each scoring dimension is tested on every run. One that does not distinguish organisations is shown as a flag, not dressed up as a measurement.

Data stays where it is

HARM reads and counts inside the partner's environment. It has no network access and never writes patient values into its report.

Contacts with provenance

Only details published for the purpose of being contacted — never guessed addresses, scraped profiles or bought lists. Opt-outs are honoured everywhere.

Frequently asked questions

About the BCONZ platform

Are these self-service software products?

They are capabilities BCONZ operates with clients and data partners as part of a research collaboration. Contact us to arrange a demonstration or a pilot.

Does HARM send our data to BCONZ?

No. HARM runs on your own systems, blocks network use, and writes only aggregate counts to a report that you review before choosing whether to share it.

What are the main real-world data sources?

Real-world data comes from electronic health records, claims and billing data, disease registries, laboratory and genomic results, imaging, and patient-reported or device data. BCONZ works with partners holding these sources under governed, institution-led agreements.

Where does DIA's demand evidence come from?

Public sources only: published limitations in research papers, active grants from NIH, the European Commission and UKRI, and live trials in ClinicalTrials.gov, the EU Clinical Trials Information System and ISRCTN.

How are contacts handled?

DIA's contact layer only records details that were published so people could be contacted — such as a paper's corresponding author or a trial's listed study contact — together with the source and the lawful basis for using it.

See it on your own question

Bring a dataset, a disease area or a research requirement. We will show you the evidence the platform finds.

Request a demonstration For data partners