
Galang AI Earns Virginia SWaM Certification, Strengthening Its Role as a Woman-Owned AI Consultancy
Galang AI has earned Virginia SWaM certification, recognizing the company as a Small, Micro, Women-owned, and Minority-owned business serving public sector and community-focused organizations.
Galang AI has earned Virginia SWaM certification, recognizing the company as a certified Small, Micro, Women-owned, and Minority-owned business in the Commonwealth of Virginia.
For co-founder and majority owner Ara Galang, the certification is more than a business milestone. As an Asian woman entrepreneur helping lead an AI company in a fast-changing market, Ara represents the kind of ownership and leadership that SWaM was created to support: capable, underrepresented founders building serious businesses with real operational value.
Galang AI was founded by Ara and James Galang to help organizations adopt artificial intelligence in practical, responsible ways. The company focuses on AI systems that reduce friction, improve workflows, and support better decision-making, especially in environments where trust, governance, and real-world adoption matter.
“This certification matters because it reflects who we are. Ara is the majority owner of Galang AI, and her leadership is central to the company. SWaM certification gives us another way to compete, serve, and bring practical AI expertise to public sector and community-focused organizations across Virginia.”
James Galang, co-founder of Galang AI
The company’s approach is shaped by firsthand implementation experience. Galang AI has delivered and deployed AI solutions inside organizations, and it uses AI extensively in its own operations to keep overhead low, move quickly, and test what actually works before bringing those patterns to clients.
The certification positions Galang AI to pursue new opportunities with state agencies, local governments, universities, and prime contractors seeking qualified SWaM partners with expertise in AI strategy, workflow automation, governance, and implementation.