Contractor Details & Socio-Economic Information
- Contract Number: 47qraa22d004e
- NAICS Code:
- SAM UEI: hvxkajl5dmc7
- Socio-Economic Status: small business
- Option Period End Date: jan 5, 2027
- Ultimate Contract End Date: jan 5, 2042
We Deploy Secure, Affordable AI for Government Contractors
Implement AI across your organization within 30 days, guaranteed
NIST 800-53 compliant: Your data stays yours
50% cost reduction vs. Microsoft Copilot/ ChatGPT Enterprise
Learn About SecureGPT
Fast, secure, and cost-effective AI implementation
Government Contractor: kepler research inc.
kepler research inc. is a small business GSA registered US government contractor. Their headquarters is located at 13663 office pl, ste 202, woodbridge, va 22192-4216.
Contractor Contact Information
Sign up to view contact information.
Government Point of Contact
Sign up to view contact information.
Contractor Vehicles & NAICS
541611611430olm
Awarded Federal Contracts
We Deploy Secure, Affordable AI for Government Contractors
Implement AI across your organization within 30 days, guaranteed
NIST 800-53 compliant: Your data stays yours
50% cost reduction vs. Microsoft Copilot/ ChatGPT Enterprise
Learn About SecureGPT
Fast, secure, and cost-effective AI implementation
| Contract Info | Sign Up |
|---|---|
Contract ID: 47QRAA22D004E Modification Number: Date Signed: 1/1/2000 | Sign up to view all information, including: Location, NAICS Info, PSC Info, Obligation |
Contract ID: HC104705F4326 Modification Number: 0 Date Signed: 5/23/2005 | Sign up to view all information, including: Location, NAICS Info, PSC Info, Obligation |
Contract ID: HC104705F4497 Modification Number: 0 Date Signed: 9/2/2005 | Sign up to view all information, including: Location, NAICS Info, PSC Info, Obligation |
We Deploy Secure, Affordable AI for Government Contractors
Implement AI across your organization within 30 days, guaranteed
NIST 800-53 compliant: Your data stays yours
50% cost reduction vs. Microsoft Copilot/ ChatGPT Enterprise
Learn About SecureGPT
Fast, secure, and cost-effective AI implementation