Centralized marketplaces are controlled by oligopolies that act as a gatekeeping bottleneck to data proliferation

Limited Access to Data

Collection and aggregation platforms are constrained by internal and external political forces that limit the universe of companies and end-users with access to data.

Limited Availability of Data

Collection and aggregation platforms are limited by cost to interactions with large data providers, resulting in limited number of providers and compromised data quality.

Limited Growth

Existing data is scattered across multiple public, subscription, and internal sources, resulting in reliance on aggregators for collation and resolution.

ReBloc empowers all stakeholders to benefit from value creation

Enable the smallest node to participate in the network

Allow all data holders, from the largest data aggregators, through enterprise lenders and insurance companies, down to the smallest homeowners, to participate in buying, selling, and verifying data.

Decentralized validation ensures data integrity

Trustless verification allows data to be transacted between anonymous parties without compromising data integrity. Robust staking and arbitration systems ensure that all stakeholders have the right incentives to be good actors.

Robust ecosystem to share burden and add value

Distributed microservice architecture enables multiple services nodes to participate in storing, resolving, processing, and provisioning data in the ecosystem, and provides a strong basis on which DApps can build and grow.

Breaking down the barriers to build
a transparent ecosystem

We're building a robust real estate data marketplace that allows
anyone to buy and sell data.

Transaction

Real-time bid/ask spreads for full data sets and individual fields

Validation

Zero-Knowledge Proof passive data validation and Dynamic Staking

Settlement

Verified off-chain data transfers that can be independently verified

Enable disparate, anonymous nodes to seamlessly transact
and fulfill verified real estate data requests

Programmatically identify, map, and index all nodes without requiring nodes
to upload their data

Data Sources

Cardinal Object Data Engine

Identify and classify all immutable spatial data objects and
hierarchies for each and every geography and jurisdiction.

Automated Schema Mapping Engine

Seamleesly map all data fields and types to their
proper cardinal objects, and minimize the need
for manual resolution.

Assisted Business Logic Engine

Quickly create very simple or complex dataset and field conflict resolution and priority rules to maintain data integrity.

Indexded Data

Be a part of our customers and partners list

logo
logo
logo
logo
logo
logo
logo
logo
logo
logo
logo
logo
logo
logo
logo
logo
logo
logo
logo
logo
logo
logo
logo
logo
logo

Team

We’re a dedicated group of real estate and technology professionals, with a track record of successfully building and selling world class products and companies. We understand the human and data challenges that the real estate industry faces, and are dedicated to fundamentally changing the way we consume real estate data

Advisory Board

Strong, hands-on advisory board of senior technology, industry, and market leaders
  • Elie Galam

    Eastmore Group, Two Sigma, Panorama Partners, Blue Mountain Capital Management
  • Maxime Cohen

    NYU, MIT, Google, MIT, Oracle, IBM
  • Guy Zyskind

    Enigma, MIT Media Lab, SAP
  • Can Kisagun

    Enigma, DataXu, McKinsey & Company
  • Leonard Lanngsdorf

    PeerIQ, S&P Capital IQ, Oppenheimer Funds, Dow Jones, Capco
  • Itamar Novick

    Life360, Morgenthaler Ventures, Canvas Ventures, UpWest Labs, Gigya, Netwise
  • Jared Harwayne-Gidansky

    Credit Suisse, BNY Mellon, Enterprise Ethereum Alliance, BlockRe
  • Ben Hizak

    Cherre

Stay in touch. Subscribe to our newsletter: