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Built for UK social housing

One home. One tenant.
One version of the truth.

Foundation Link lands your housing management, finance and repairs data in a governed lakehouse — conformed in a mapping studio, gated by a quality rule engine, and masked column by column before anything downstream can query it.

See the data model

Connects over PostgreSQL · Snowflake · MySQL · REST API · S3 / ADLS Gen2

foundationlink.app / Data Quality
Foundation Link Data Quality and Analytics Engine: business rules, overall score, records tested, invalid records, and the DQ Copilot panel.
Silver-layer DQ engineQuarantine with violation codesDQ Copilot
5source protocols supported
6canonical housing entities
AES-256GCM on high-sensitivity PII
4models in the marketplace
What it is

A housing data platform, in one sentence.

Foundation Link is the governed layer between the systems you already run and the answers you need out of them. It lands the data, conforms it, proves it is fit to use, and masks what should not be seen — three things, kept current, that together answer almost every question anyone will ask about your data.

⇄

Ingest

Every source system — HMS, finance, repairs API, file drops — landed on a schedule you control, with schema evolution and row-level change tracking from the first run.

⛨

Govern

Quality rules gate what reaches reporting. Column-level masking decides who sees a real email address, a real date of birth, a real postcode — and who never does.

◎

Model

A conformed gold layer across six canonical housing entities, queryable in plain English and available to the pre-built models in the marketplace.

How the data moves

Bronze, silver, gold.
Nothing reaches a report unproven.

Every field arrives through a mapping you can read as generated SQL and passes a rule you can read as a predicate. Both are on screen before either one runs.

Layer 01

Bronze

Raw and source-shaped, one schema per connected system. Full load or incremental against a watermark column, on a cron you set — with run-now, forced reload, pause and archive per job.

Layer 02

Silver

Mapping Studio conforms source columns to canonical housing entities — properties, tenants, repairs, tenancies, appointments, voids — with chained transforms and the generated SQL shown before it runs.

Gate

Quarantine

Records failing a rule are routed to an entity quarantine table tagged with a violation code, not silently dropped and not silently passed. Fix, then release.

Layer 03

Gold

Curated, masked, governed. The only layer analysts, conversational queries and AI models are allowed to touch.

● The only layer AI sees
Inside the platform

Controls a data team would build,
already built.

✓

Data Quality & Quarantine

A rule engine that runs before the merge, scoring accuracy, completeness, consistency, timeliness, validity and uniqueness into one grade your board can read.

  • Not-null, pattern, allowed-values, composite and referential-integrity rules
  • Visual rule builder or custom SQL, with the live predicate always visible
  • Quarantine management with violation codes and a release action
  • A DQ Copilot that explains why a pillar score moved
⛨

Governance & PII Studio

Column-level masking driven from metadata and applied as generated gold-layer views, so two people looking at the same table can legitimately see different values.

  • Full mask, email mask, partial mask, age and postcode generalisation, salted hash
  • Sensitivity tagging, with AES-256-GCM on high-sensitivity columns
  • Unmasked-for grants by group — admins, engineers, analysts, auditors
  • Destructive changes require explicit confirmation
⌗

Mapping Studio

Source-to-silver mapping per business entity, with a confidence indicator on every field so nobody has to trust a fuzzy match they never saw.

  • One silver destination per entity, not per field
  • Chained transforms: cast, trim, case, conditional defaults
  • Generated SQL rendered in real time before anything runs
◈

Talk to your data

Plain-English questions resolved to SQL against the gold layer only — never against raw or half-cleaned data, and never around your masking rules.

  • Same masking and access rules as direct table access
  • Row-level security applied automatically
  • Admins can inspect exactly which tables a query space exposes
Product principle
“One home, one tenant, one version of the truth. Ingested, cleaned, governed and AI-ready — built for social housing, not bolted on to it.”
Foundation Link · an accelerator by Lashan Digital
AI marketplace

Models built for housing outcomes,
not generic ML.

A catalogue of pre-built models. Each one binds to an inference table and a scheduled scoring job over the gold layer at the point you deploy it.

Repairs

Act upon poor workmanship

A repeat-repairs model that identifies recurrent poor workmanship.

Safeguarding

Identify ASB and domestic violence

Identifies customers who may be experiencing anti-social behaviour or domestic violence, so a person can act proactively.

Contact centre

Reduce contact volumes

Surfaces trends in contact centre volume to inform process redesign.

Complaints

Reduce complaint volumes

Identifies the recurrent issues driving complaints, to intervene pre-emptively.

These models score. They do not decide.

Each deployed model is an AI system in its own right, and the ASB and domestic-abuse model in particular touches a sensitive, high-risk use case. Before production use, a deployment needs a recorded risk classification, a DPIA and a named human decision point — output that drives action without meaningful human review would be automated decision-making under UK GDPR. Foundation Link gives you the governed, masked data a score was computed from; it does not certify the decision, and it is not a substitute for legal advice.

Built for your role

Answers for the people
who have to give them.

Foundation Link is built around three audiences inside a housing association, not one generic dashboard everybody ignores.

◱

IT & data leads

One place to register a source, schedule its ingestion and hold its masking policy, instead of a point-to-point integration per request — across separated dev, staging, sandbox and production environments.

£

Finance

The finance warehouse landed alongside housing data in the same governed layer, and questions answered against it in plain English rather than raised as a report request.

◉

Executive & board

One data quality grade across every active rule and scorecard pillar, and a quarantine list showing exactly which records were held back and which rule stopped them.

Security

Governance by design,
not by policy document.

Five controls that are part of how the platform is configured, rather than a policy document written alongside it.

Source credentials held in an external vault, never in platform tablesDev, staging, sandbox and production fully separatedAES-256-GCM on high-sensitivity columnsExplicit confirmation on every destructive actionRole-based unmasking, independent of feature access

See it running on your own data.

Book a walkthrough against a live dataset and see the quality grade, the quarantine list and the masking rules on real records.