Reality Analytics Inc.

UEI
K66UL83TXS27
CAGE
7HF28
Primary NAICS
541712 Research and Development in the Physical, Engineering, and Life Sciences (except Biotechnology)
SAM.gov registration
Expired

Company facts

Self-certified in SAM.gov
  • Self Certified Small Disadvantaged Business
  • For Profit Organization
Entity structure
Corporate Entity (Not Tax Exempt)
NAICS codes registered in SAM.gov
SAM.gov registration date
Website
renesas.com
Founded
2002
Employees
10K-50K
Estimated annual revenue
$250M-$500M
Industry
  1. Information Technology
  2. Semiconductors & Semiconductor Equipment
  3. Semiconductors
SIC code
36 Electronic & Other Electric Equipment
Profiles

Registration and certifications come from SAM.gov and the SBA; company details from public web sources. Updated .

Recent federal awards

Reality Analytics Inc.'s 2 most recent federal contract and grant awards, newest first. Amounts are dollars obligated.
Award Agency Obligated Awarded
Sbir phase II, year 2 "adaptive detection and classification of micro-terrain features from lidar data using sparse… Contract · W9132V16C0003 Army Corps of Engineers Geospatial Center $499,921
Sbir phase II, year 1 IM/IT relocation of field office facility sebring project office U439330 Contract · W9132V15C0001 Army Corps of Engineers Geospatial Center $500,079

Quick answers

What is Reality Analytics Inc.'s UEI?

Reality Analytics Inc.'s Unique Entity ID (UEI) in SAM.gov is K66UL83TXS27.

What is Reality Analytics Inc.'s CAGE code?

Reality Analytics Inc.'s CAGE code is 7HF28.

What is Reality Analytics Inc.'s primary NAICS code?

Reality Analytics Inc.'s primary NAICS code is 541712 (Research and Development in the Physical, Engineering, and Life Sciences (except Biotechnology)).

Is Reality Analytics Inc. registered in SAM.gov?

Reality Analytics Inc.'s SAM.gov registration expired on January 20, 2018.

What is Reality Analytics Inc.'s most recent federal award?

Reality Analytics Inc.'s most recent federal contract award is Sbir phase II, year 2 "adaptive detection and classification of micro-terrain features from lidar data using sparse… (W9132V16C0003), from Army Corps of Engineers Geospatial Center, on June 16, 2016.

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