AI growth engine builder for enterprise innovation, marketing, and sales
BOI builds AI systems designed to drive measurable business growth rather than efficiency alone. The tech stack—Python, FastAPI, React, OpenAI, Anthropic, Hugging Face, PyTorch, RAG, and orchestration tools like Kubernetes—reflects a production-grade AI engineering operation, not a consulting shop. Pain-point clustering around 'moving beyond experimentation,' 'embedding AI into business-critical environments,' and 'balancing accuracy, latency, cost, maintainability' signals they're solving real deployment friction for enterprise clients, not selling AI theory.
Notable leadership hires: AI Transformation Director
BOI is an AI-focused consulting and systems-building firm founded in 2009 and headquartered in New York. They partner with large multinational organizations to design and deploy AI solutions across innovation, marketing, and sales functions. The work centers on building agentic workflows, retrieval pipelines, and orchestration layers that integrate AI into operational business processes. Active hiring in engineering (5 roles), data (2), and marketing (1) across the US, Belgium, and Portugal indicates scaling of delivery capacity. Current focus areas include autonomous summit planning and managing the transition from one-off AI pilots into sustained, embedded systems.
Python, FastAPI, React, TypeScript, Azure, OpenAI, Anthropic, Hugging Face, PyTorch, scikit-learn, RAG, Docker, Kubernetes, and PostgreSQL. Stack emphasizes LLM orchestration and production ML infrastructure.
New York, New York. The company was founded in 2009 and currently employs 51–200 people.
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BOI (Board of Innovation)'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.