INDECOMM

Indecomm

Financial Services, 2nd Floor, Edison, New Jersey, 55108, United States, 1001-5000 Employees

indecomm.net

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Who is INDECOMM

Founded more than 25 years ago, Indecomm blends intelligent automation and SaaS with deep mortgage banking expertise to deliver groundbreaking mortgage innovations that help businesses op...

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  • 2nd Floor, Edison, New Jersey, 55108, United States Headquarters: 2nd Floor, Edison, New Jersey, 55108, United States
  • 2003 Date Founded: 2003
  • 1001-5000 Employees: 1001-5000
  • dollar-icon Revenue: $25 Million to $50 Million
  • tech-icon Active Tech Stack: See technologies

industries-icon Industry: Financial Services

SIC SIC Code: 7372 | NAICS Code: 513210 | Show More

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Frequently Asked Questions Regarding INDECOMM

Answer: INDECOMM's headquarters are located at 2nd Floor, Edison, New Jersey, 55108, United States

Answer: INDECOMM's phone number is 73********

Answer: INDECOMM's official website is https://indecomm.net

Answer: INDECOMM's revenue is $25 Million to $50 Million

Answer: INDECOMM's SIC: 7372

Answer: INDECOMM's NAICS: 513210

Answer: INDECOMM has 1001-5000 employees

Answer: INDECOMM is in Financial Services

Answer: INDECOMM contact info: Phone number: 73******** Website: https://indecomm.net

Answer: Founded more than 25 years ago, Indecomm blends intelligent automation and SaaS with deep mortgage banking expertise to deliver groundbreaking mortgage innovations that help businesses optimize operations and achieve competitive advantage. Backed by a 1500-strong global workforce, Indecomms automation-as-a-service approach benefits mortgage organizations, enabling them to offer better borrower experiences by streamlining middle and back-office operations. Indecomm takes an automation-first approach, partnering with large and mid-sized lenders, servicers, mortgage insurers, and title companies to create efficiencies at every phase of the mortgage lifecycle. Specifically, Indecomm products and services leverage robotics process automation (RPA), supervised automation, and machine learning to tackle the industrys most complex operational challenges.

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