No-code platform for building and deploying enterprise AI agents
StackAI runs a horizontal agent-building platform on Python, FastAPI, Temporal and PostgreSQL, wired to both OpenAI and Anthropic and deployed across AWS, Azure and GCP via Kubernetes and Terraform. Its project list is dominated by enterprise-readiness work: SCIM provisioning, fine-grained RBAC, encryption and key management, and PHI/PII controls, with OPA being adopted for policy enforcement. Hiring is heavily senior and engineering-led, with a smaller sales and marketing layer.
StackAI is a San Francisco-based, privately held company founded in 2023 that offers a platform for building and deploying AI agents, automations, chat assistants and enterprise search. Its customers span finance, risk and operations functions, in sectors including healthcare, legal, financial services, logistics and defense. The product combines retrieval-augmented generation with large language models and integrates with workplace tools such as Google Drive, Airtable and Notion. The company employs 51–200 people and hires in the United States, Poland and Spain.
StackAI uses Python, FastAPI, TypeScript, PostgreSQL, Redis and Temporal, runs on Kubernetes and Terraform across AWS, Azure and GCP, and integrates OpenAI and Anthropic models with RAG.
Current projects include checkpointing and recovery for agents, agent run observability, encryption and key management, PHI/PII handling controls, SCIM provisioning and fine-grained RBAC.
StackAI is headquartered in San Francisco and hires in the United States, Poland and Spain, with an engineering-heavy, mostly senior hiring mix plus sales and marketing roles.
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StackAI'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.