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Government Contractor: integriward, llc

integriward, llc is a small business, women-owned small business, sba-certified women-owned small business, sba-certified economically disadvantaged women-owned small business, mas 8(a) pool- competitive, mas 8(a) pool- sole source and competitive (exit date: feb 1, 2026) GSA registered US government contractor. Their headquarters is located at 5835 sebastian pl, san antonio, tx 78229-2202.

Contractor Details & Socio-Economic Information

  • Contract Number: gs-21f-176aa
  • NAICS Code:
  • SAM UEI: flw9c9n4slg9
  • Socio-Economic Status: small business, women-owned small business, sba-certified women-owned small business, sba-certified economically disadvantaged women-owned small business, mas 8(a) pool- competitive, mas 8(a) pool- sole source and competitive (exit date: feb 1, 2026)
  • Option Period End Date: aug 24, 2028
  • Ultimate Contract End Date: aug 24, 2033

Contractor Contact Information

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Government Point of Contact

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Contractor Vehicles & NAICS

561210facancillaryancraolm

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 InfoSign Up
Contract ID: 70B01C20G00000010
Modification Number:
Date Signed: 1/1/2000
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Contract ID: 70B01C21G00000001
Modification Number:
Date Signed: 1/1/2000
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Contract ID: 70B01C22G00000003
Modification Number:
Date Signed: 1/1/2000
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Contract ID: W911S721D0004
Modification Number:
Date Signed: 1/1/2000
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