Giggso builds AI governance and deployment infrastructure for Fortune 500 enterprises moving from pilots to production. The stack reveals a deep MLOps practice: RAG, LangChain, Hugging Face, Llama, MLflow, Kubeflow, and vector stores (FAISS, Pinecone, Weaviate) sit alongside AWS/Azure/GCP and Salesforce integration layers. Active hiring is engineering-heavy (5 of 7 roles) at senior levels, paired with cloud partnership expansion and co-sell deals — indicating scaled delivery operations and a shift toward channel-driven growth.
Giggso, founded in 2017 in Troy, Michigan, operates as a Minority Business Enterprise focused on AI governance and responsible AI implementation. The company serves large enterprises globally, positioning AI governance—not technology—as the core blocker in digital transformation. Their service mix spans AI strategy consulting, MLOps, data observability, and AI execution. The tech footprint (RAG systems, model serving APIs, Kubernetes orchestration, multi-cloud deployment) and project focus (CI/CD integration, enterprise API deployment, hyperscaler partnerships) indicate a systems-integration and professional-services model rather than a pure SaaS play.
Cloud platforms (AWS, Azure, GCP, Kubernetes), LLM tooling (OpenAI, Azure OpenAI, Llama, LangChain, Hugging Face), vector databases (Pinecone, Weaviate, FAISS), MLOps frameworks (MLflow, Kubeflow, Databricks), CI/CD (Jenkins, Azure DevOps, Copado), and Salesforce for enterprise integrations.
Troy, Michigan. The company was founded in 2017 and employs 51–200 people.
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Giggso's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.