ByteParcels · Early access
Public property intelligence that never goes stale
ByteNana's self-healing GIS data engine, productized. Parcels, zoning, permits, and flood data from thousands of municipal sources — ingested and normalized automatically, with pipelines that repair themselves when sources change.
Beyond brittle pipelines
Every proptech and real-estate team that relies on public data fights the same war. Parcel, zoning, permit, and flood data live across thousands of county and municipal portals — each with its own format, access method, and habit of changing without warning. One source swaps a URL or renames a column and the pipeline goes dark. Teams burn weeks rebuilding scrapers instead of building product. The data is public, but keeping it current is a full-time maintenance tax.
An engine that heals itself
We built ByteParcels to end the maintenance tax. It continuously monitors fragmented public sources, ingests changes as they happen, and normalizes everything into a single consistent schema. When a source changes its structure, ByteParcels detects it and adapts — automatically — so your data stays current and your pipeline stays alive. The result is a living source of truth that reflects the ground today, not last quarter.
The collectors
Resilient agents continuously monitor and pull parcels, zoning, permits, and flood designations from county and municipal sources.
The self-healing layer
Detects when a source changes its URL, format, or schema and adapts the pipeline automatically — no manual re-work.
The normalized delivery
One consistent schema across every jurisdiction, delivered into your warehouse, PostGIS, or GIS stack — ready to query, not clean.
Data that doesn't break
Always-current data
Continuous monitoring and ingestion, so parcel, permit, and zoning data reflect reality — not an annual refresh cycle.
Self-healing pipelines
When a municipal source moves or changes format, the pipeline repairs itself. The maintenance burden disappears.
Unified schema
Thousands of fragmented sources mapped into a single, consistent standard you can build on from day one.
Purpose-built for high-resilience public data
Python / Node.js
For scalable, resilient ingestion logic.
PostGIS
For industry-standard geospatial data integrity.
Automated monitoring
For continuous change detection across thousands of sources.
AWS
For stable, cloud-based production infrastructure.
We're onboarding a small group of early-access partners.