Contractor Details & Socio-Economic Information
- Contract Number: gs-27f-012ga
- NAICS Code:
- SAM UEI: vy7evq58flp4
- Socio-Economic Status: small business
- Option Period End Date: jan 31, 2027
- Ultimate Contract End Date: jan 31, 2037
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
Fast, secure, and cost-effective AI implementation
cramer llc is a small business GSA registered US government contractor. Their headquarters is located at 1523 grand blvd, kansas city, mo 64108-1403.
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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
Fast, secure, and cost-effective AI implementation
Contract Info | Sign Up |
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Contract ID: GS27F012GA Modification Number: PO0005 Date Signed: 12/10/2021 | Sign up to view all information, including: Location, NAICS Info, PSC Info, Obligation |
Contract ID: GS27F012GA Modification Number: 0 Date Signed: 2/1/2017 | Sign up to view all information, including: Location, NAICS Info, PSC Info, Obligation |
Contract ID: GS27F012GA Modification Number: CMA549REVTERMCOND Date Signed: 6/22/2017 | Sign up to view all information, including: Location, NAICS Info, PSC Info, Obligation |
Contract ID: GS27F012GA Modification Number: PSA837 Date Signed: 11/15/2021 | Sign up to view all information, including: Location, NAICS Info, PSC Info, Obligation |
Contract ID: GS27F012GA Modification Number: PSA808 Date Signed: 10/4/2019 | Sign up to view all information, including: Location, NAICS Info, PSC Info, Obligation |
Contract ID: GS27F012GA Modification Number: PMA666 Date Signed: 9/19/2018 | Sign up to view all information, including: Location, NAICS Info, PSC Info, Obligation |
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
Fast, secure, and cost-effective AI implementation