Basking.io
AI-native workplace and lease intelligence platform that uses existing WiFi infrastructure to measure space utilization and optimize CRE portfolios.
Last reviewed 6/2/26
How Basking.io uses AI[1][2][3]
Machine learning turns existing WiFi network data into real-time occupancy and space utilization metrics, no hardware sensors required, and a conversational AI assistant lets workplace teams query that data in plain language.
- • Occupancy from WiFi: ML algorithms read existing wireless network data to measure real-time occupancy without sensors
- • Conversational assistant: chatbox answers natural language questions on trends, charts, and recommendations
- • Vector-based similarity search: speeds and sharpens answers to occupancy queries
- • Lease abstraction: extracts and structures key terms from lease documents via LeaseOps and DocsAI
AI type: Machine Learning, LLM, NLP
What it helps you do
Built for
Key numbers
- • Colliers: $8M cost savings
- • 13%+ energy/CO2 reduction for customers
- • $2.9M revenue (2024)
Credibility
- Founders & team
- Dr. Eldar Gizzatov (CEO, MBA Duke, PhD, ex-Allianz X EIR, founded FairFleet); Dr.-Ing. Olmo Mezger (Co-founder, PhD TU Munich)
- Customers
- Colliers, PATRIZIA SE, Allianz, Dell, Qualcomm, Wolt
- Investors
- Future Energy Ventures (E.ON), Blue Field Capital (Zain Jaffer), Aconterra, Techstars
- Case Studies
- Colliers U.S.: $8M in cost savings; 150+ additional employees without new rent
Founded
2017
Headquarters
Berlin, Germany
Stage
Seed
Employees
11-50
Related companies
Verify
Uses agentic AI to detect financial variances across multifamily portfolios, diagnose root causes with on-site context, and generate executive-ready performance reports.
Agentic AI runs five domain-trained agents that detect financial variances, diagnose root causes, and write investor-grade summaries, pulling context straight from on-site teams.
Cherre
Real estate data intelligence platform that unifies property, financial, and market data into a single connected layer, powering decisions across $3.3T in AUM.
Cherre builds a real estate knowledge graph that connects properties, addresses, people, and companies, then runs machine learning to resolve which records across many sources describe the same property. Its Agent.STUDIO platform lets clients build custom AI agents on that unified data.
PRODA
AI platform that automatically standardizes and validates rent roll data from any format, language, or property management system, cutting processing time by up to 90% for CRE asset managers and lenders.
Machine learning ingests rent roll data from any format, language, or market, then standardizes, validates, and tracks changes against an 800-point data model.