UtilityScore (formerly Pando)
API that estimates utility costs for 100M+ homes. Helps real estate sites, building industry suppliers, solar companies, and lenders target, engage, and convert more customers.
Y Combinator
yc-company-directory #1154API that estimates utility costs for 100M+ homes. Helps real estate sites, building industry suppliers, solar companies, and lenders target, engage, and convert more customers.
sourceUtilityScore (formerly Pando) is classified as Developer tools from source descriptions and fund-directory context. Similar companies below are ranked from offline product facets and meaningful description overlap; category and source affiliation can only strengthen an existing product match. For lookup-created rows, the profile starts as pending enrichment until deeper source collection runs.
Local clusters rerank extracted product concepts and description terms. The generated graph remains the fallback for sparse descriptions: offline reciprocal product-similarity graph: extracted concepts + description terms + bounded category/affiliation boosts. Minimum fallback score: 0; max competitors: 6.
Companies similar to UtilityScore (formerly Pando)
A deterministic local cluster built from offline product facets and meaningful description terms. Category and selected-institution affiliation provide bounded tie-breaks. Open any peer to continue exploring its cluster.
telli
match 101telli is building AI voice agents that convert leads into sales opportunities for B2C companies. For example, a leading home-buying platform is using telli to fully automate their pre-qualification. We are serving customers in energy, real estate, medical products, and home services. You might think that these B2C companies want to do more self-serve and less outreach. But the truth is outbound calls are what really drive conversion. Historically, managing these calls has been complex and expens
shared extracted concepts: customers; shared product terms: convert, companie, home, customer; shared product theme: sales and marketing, climate and energy; shared affiliation: Y Combinator
Rabbet
match 78Rabbet brings efficiency, accuracy and transparency to the complex construction finance industry. The platform uses machine learning to parse documents and connect information for reduced administrative burden, verifiable compliance, and faster decision-making for real estate lenders and developers. Formerly Contract Simply.
shared extracted concept terms: industry, real, estate, lender; shared product terms: industry, real, estate, lender; shared product theme: developer infrastructure; shared affiliation: Y Combinator
Oda
match 63Oda is an AI agent for home design. Homebuyers and renters alike can use Oda to discover their interior design preferences, apply those preferences to their new home, and then find the best furniture, décor, and appliances aggregated from many different online retailers. Oda distributes its product to homebuyers and renters through partnerships with real estate companies and platforms. Real estate partners add Oda AI iFrames to their websites to showcase listed homes with AI-generated designs. E
shared extracted concept terms: real, estate, companie; shared product terms: home, real, estate, companie; shared affiliation: Y Combinator
Dashdive
match 57Dashdive attributes AI/LLM and cloud costs to customers, teams and products at the endpoint invocation level using observability tools. This allows software companies to optimize their pricing and evaluate the profitability of each product.
shared extracted concepts: customers; shared product terms: cost, customer, companie; shared product theme: developer infrastructure, sales and marketing; shared affiliation: Y Combinator
Fabrica
match 56Fabrica is creating the next generation title company, providing a seamless title and escrow experience for real estate brokers, lenders and homebuyers.
shared extracted concepts: lenders; shared product terms: real, estate, lender
Nector
match 54Nector is a platform that helps commercial real estate borrowers secure better loans, by enabling them to create debt packages (loan requests) within minutes instead of days and efficiently reach a wide range of pre-vetted lenders through our internal mar
shared extracted concept terms: real, estate, lender; shared product terms: real, estate, lender