Team
Biscuit AI is built by operators, engineers, and customer-facing builders who understand that real-world AI is not just a model. It is product, data, hardware, deployment, support, reliability, and commercial execution working together.
We are building physical AI sales and support agents for retail and service environments, designed to answer questions, guide customers, support staff, and turn every interaction into useful operational insight.
Operating model
Biscuit is intentionally lean, AI-native, and execution-led. The next wave of customer experience will not live only in apps, websites, or call centers. It will show up in stores, counters, lobbies, aisles, kiosks, and service points.
That takes a team that can move across software, AI, hardware, deployment, customer success, sales, and operations without losing speed.
Our engineering base is anchored in New Zealand, where product and technical execution move quickly. Our go-to-market and customer-facing work is anchored in the United States, close to the retailers, brands, partners, and deployment environments we serve.
Product, AI systems, platform, tools, and technical execution.
Retail customers, strategic partners, pilots, and deployments.
Our engineering group builds the platform layer that makes Biscuit useful in physical environments: conversational AI, retail data ingestion, recommendation logic, reporting, deployment tools, and systems that connect customer-facing endpoints to business outcomes.
We work across model orchestration, speech, vision, reasoning, retrieval, edge constraints, evaluation, and in-store interaction design. The goal is useful, reliable AI that performs in the messy conditions of the real world.
Physical AI has to be installed, observed, improved, and supported. Our deployment function turns pilots into repeatable operating systems, working closely with customers from setup through launch, learning, and expansion.
Our U.S. go-to-market function works with retailers, brands, venues, and strategic partners to shape pilots and deployments around measurable commercial outcomes.
Biscuit is supported by advisors with experience across venture capital, compute infrastructure, AI systems and inference, automation, research, retail technology, and technical thought leadership.
Founder
Lincoln Smith founded Biscuit AI after more than a decade building, selling, and deploying automation, computer vision, and AI systems in retail and customer-facing environments.
Before Biscuit, Lincoln built four startups, including one that generated more than $1B in sales, and led work across automated retail, machine learning, computer vision, and physical customer experiences. He has personally sold and implemented AI and automation for global brands, giving Biscuit a practical bias from day one: build what can be deployed, measured, and improved.
Biscuit reflects that operating style. Product first. AI-native execution. A clear focus on turning physical spaces into intelligent service environments.
How we work
Biscuit is not building a chatbot for retail. We are building the customer-facing AI layer for physical environments, where reliability, handoff design, accessibility, reporting, uptime, hardware readiness, brand safety, and measurable business value all matter.
A store, lobby, counter, or service point is different from a browser tab. We build for noise, ambiguity, imperfect data, changing product ranges, and real human behavior.
Every interaction should help the customer, the operator, or the business. We design for clarity, not gimmicks.
The best product signals come from live environments. We test, observe, improve, and turn real-world behavior into better systems.
We work AI-natively across engineering, sales, customer success, research, operations, and internal workflows for higher leverage, faster learning, and less organizational drag.
Culture
Biscuit is a good fit for people who like hard, practical problems. The work sits between frontier AI and physical-world operations, so the team needs people who are comfortable with ambiguity but obsessed with execution.
We are looking for people who want to build at the edge of AI, retail, automation, and customer experience.