Very Big Things - AI/ML Development

Very Big Things is a design and technology company, headquartered in Fort Lauderdale, Florida with a team including engineers in Croatia, that focuses on generative AI and the digital products around it. An award-winning firm, it helps businesses turn AI into measurable improvement by redesigning real workflows, shipping production AI systems, and keeping people in control. It pairs strong product design with AI engineering, and has built a proprietary layer for connecting AI-enabled workflows across a business.

The buyer most likely to consider Very Big Things is a company, from funded startup to enterprise, that wants to move beyond experimenting with AI tools and put generative AI into real, production workflows. Its published work spans consumer and enterprise products, including AI-enabled systems and design-led digital products. The problem it addresses is helping organizations identify where AI creates genuine leverage, redesign the work around people and AI, and build systems teams can actually use.

One honest consideration is delivery model and depth. Very Big Things is United States-headquartered with engineering talent in Croatia, so buyers should confirm which team handles their work and how communication and time zones align. Its generative AI focus is genuine and current, but as a smaller firm, buyers with very large programs or the deepest bespoke machine-learning needs should confirm capacity and depth for their specific case.

Key Services

Generative AI Consulting

Helping businesses identify where AI creates real leverage and turn it into measurable improvement, rather than isolated tool use. A defining focus.

AI Workflow Redesign

Redesigning real business workflows around people, AI, systems, and controls, then shipping production systems teams can actually use.

AI Development

Building generative AI solutions and AI-enabled systems, including agents, integrated with a company’s systems and kept under human control.

Custom Software Development

Building the digital products and platforms around AI, drawing on strong engineering and product experience.

UX/UI and Product Design

Award-recognized design and user experience work that makes AI-enabled products usable and effective, a genuine strength of the firm.

AI Workflow Orchestration

A proprietary operating layer that connects people, AI agents, business systems, approvals, permissions, and audit trails so new workflows scale without starting from scratch.

Branding and Strategy

Brand and strategy work that supports coherent, well-positioned digital products alongside engineering and design.

Core Use Cases

• Moving from AI tool use to production AI workflows
• Redesigning a slow or manual workflow around people and AI
• Building a generative AI system or agent kept under human control
• Designing a usable, well-crafted AI-enabled product
• Scaling AI workflows across a business with shared controls
• Proving AI value in one area before scaling company-wide

Best Suited For

Very Big Things fits companies, from funded startups to enterprises, that want to put generative AI into real production workflows with strong design and clear controls, starting in one area and scaling from demonstrated value. Buyers who value design quality alongside AI engineering may find it a strong match.

It is a weaker fit for buyers who need fully local delivery, very large program capacity, or the deepest bespoke machine-learning research. Those buyers should confirm which team delivers the work, check capacity and AI depth for their case, and clarify time-zone arrangements before proceeding.

Business Benefits

A firm that redesigns real workflows around AI, rather than adding isolated tools, can help a company turn AI into measurable improvement, which is where many AI efforts stall. Strong product design helps ensure AI-enabled systems are usable, not just technically capable.

Starting in one area and scaling from demonstrated value reduces risk, and a proprietary orchestration layer can make each new AI workflow faster and safer to build. Keeping humans in control addresses a common concern with production AI.

As with any engagement, results depend on clear objectives, suitable data, and active involvement, and with a partly international team, on confirming delivery arrangements. Buyers who define where AI should create leverage, confirm the team and time-zone overlap, check depth for their case, and define success measures are better placed to judge results, and any self-reported awards or named-client references are worth verifying rather than assumed.

Why Very Big Things Stands Out

The standout quality is a genuine focus on production generative AI, redesigning real workflows and shipping usable systems, backed by award-recognized design and a proprietary layer for scaling AI workflows under human control.

The tradeoff is delivery model and scale. It is United States-headquartered with engineering in Croatia, so team assignment and communication should be confirmed, and as a smaller firm, very large programs or deep bespoke machine-learning needs should be checked against capacity and depth.

A company might choose Very Big Things over a freelancer when it wants design and AI engineering combined, and over a large consultancy when it wants a focused, design-led AI partner. Buyers needing fully local delivery, very large capacity, or deep bespoke research should weigh those points first.