
Real-Estate-Data-Platform-as-a-Service: Become the real estate company your clients expect1-10 Employees
- B2B
- Early StageStartup in initial stages
iReal careers
Real estate data is a mess - fragmented, inconsistent, unreliable; the processes are inefficient, reactive, time-intensive. The invaluable local intelligence captured on the field is simply discarded and never exploited for data-insight purposes. Furthermore, the talent required to overcome these fundamental flaws is expensive, in short supply, and rarely available to real estate organizations.
With such deficiencies, even companies bringing innovation to the industry (AVMs, enhanced search, GIS, analytics, etc.) struggle to fulfill their product’s pledge – after all: “garbage in, garbage out”. As a result, real estate companies both large and small face genuine struggles and hefty price tags when it comes to data, data hygiene, and data enrichment.
iReal is the first Real-Estate-Data-Platform-as-a-Service equipped with AI and NLP engines as a SaaS product. It provides real estate companies with the backend and tools necessary to deliver a cohesive view of cleansed, high-quality, trustworthy, and enriched multi-source data.
As a result,
1. It eliminates the complexity associated with data fragmentation and inefficient processes.
2. It reduces the costs and hefty price tags of ownership and maintenance - in exchange for a small monthly licence fee.
3. It replaces the requirement for expensive and hard-to-get multidisciplinary scientific and technology talent and expertise.
With such deficiencies, even companies bringing innovation to the industry (AVMs, enhanced search, GIS, analytics, etc.) struggle to fulfill their product’s pledge – after all: “garbage in, garbage out”. As a result, real estate companies both large and small face genuine struggles and hefty price tags when it comes to data, data hygiene, and data enrichment.
iReal is the first Real-Estate-Data-Platform-as-a-Service equipped with AI and NLP engines as a SaaS product. It provides real estate companies with the backend and tools necessary to deliver a cohesive view of cleansed, high-quality, trustworthy, and enriched multi-source data.
As a result,
1. It eliminates the complexity associated with data fragmentation and inefficient processes.
2. It reduces the costs and hefty price tags of ownership and maintenance - in exchange for a small monthly licence fee.
3. It replaces the requirement for expensive and hard-to-get multidisciplinary scientific and technology talent and expertise.
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Hamid Jahanzad
Responsible for mission critical developments in automation & finance: low-latency and machine learning.
Rosaria Giorgi
Cross-pollination and interdisciplinarity: co-founded Ireland’s first digitized fashion agency, created the first AI-perfected chocolate. Currently helping real estate organisations fulfil their data strategy with iReal.
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