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Rasgo

Rasgo

Computer Software, , New York, United States, 11-50 Employees

rasgoml.com

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phone no Phone Number: 61********

Who is RASGO

Rasgo brings the power of GPT to your enterprise data warehouse. Our GPT-orchestrated agents develop analytical strategies to discover insights and contextualize your enterprise data by i...

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  • New York, New York, United States Headquarters: New York, New York, United States
  • 2020 Date Founded: 2020
  • 11-50 Employees: 11-50
  • dollar-icon Revenue: Under $1 Million
  • tech-icon Active Tech Stack: See technologies

industries-icon Industry: Computer Software

SIC SIC Code: 7374 | NAICS Code: 518210 | Show More

checked-icon Does something look wrong? Fix it. | View contact records from RASGO

Rasgo Org Chart and Mapping

Employees
Kimball Hill

Kimball Hill

Software Engineer

Alexandra Rossi

Alexandra Rossi

Chief of Staff / Head of Operations

Sam McMurray

Sam McMurray

Software Engineer

Joshua Berry

Joshua Berry

Data Scientist

Chantelle Dmello-Reyes

Chantelle Dmello-Reyes

Senior Ui/Ux Designer

Christian Nash

Christian Nash

Head of Engineering

William Buffington

William Buffington

User Experience Designer

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Frequently Asked Questions Regarding Rasgo

Answer: Rasgo's headquarters are located at New York, United States

Answer: Rasgo's phone number is 61********

Answer: Rasgo's official website is https://rasgoml.com

Answer: Rasgo's revenue is Under $1 Million

Answer: Rasgo's SIC: 7374

Answer: Rasgo's NAICS: 518210

Answer: Rasgo has 11-50 employees

Answer: Rasgo is in Computer Software

Answer: Rasgo contact info: Phone number: 61******** Website: https://rasgoml.com

Answer: Rasgo brings the power of GPT to your enterprise data warehouse. Our GPT-orchestrated agents develop analytical strategies to discover insights and contextualize your enterprise data by identifying key facts, outliers, and important trends - all without a human in the loop. Business users can ask questions about enterprise data using natural language, which is always converted to an auditable SQL query, so your data team spends less time servicing ad-hoc analytical requests. Our GPT-powered AI agents provide your data team with a co-pilot that can automatically build a semantic layer from your enterprise data warehouse schema and be taught to remember key data metrics and definitions.

Answer:

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