Fig provides an API‑first platform that connects advanced AI models to enterprise systems, enabling seamless workflow automation, intelligent agents, and robotics integration. The service offers pre‑built modules, a real‑time orchestration engine, and continuous model training so large organizations can embed AI capabilities into their operations without extensive custom development.
Funding
Funding not disclosed
Founders
Product
Problem
Enterprises often struggle to integrate advanced digital intelligence into existing workflows, leading to fragmented automation, limited scalability, and missed efficiency gains across processes such as robotics, ambient computing, and enterprise agents.
Solution
Fig delivers a platform that connects cutting‑edge AI models with enterprise systems to enable seamless workflow automation, intelligent agents, and robotics integration. The service provides pre‑built modules and APIs that allow organizations to embed AI capabilities directly into their operations without extensive custom development. By leveraging Fig Labs, partners can rapidly prototype, test, and deploy AI‑driven solutions that adapt to real‑time data and user contexts. The platform supports continuous learning, ensuring that deployed agents improve over time and maintain alignment with business objectives. Fig’s approach abstracts the complexity of AI infrastructure, giving enterprises a unified interface to manage, monitor, and scale intelligent automation across diverse environments.
Target Audience
Primary customers are large enterprises and technology teams seeking to embed AI‑powered automation, intelligent agents, or robotics into their operational workflows.
Features
- API‑first architecture for easy integration with existing enterprise software and robotics platforms
- Library of reusable AI agents for tasks such as scheduling, data extraction, and ambient interaction
- Real‑time workflow orchestration engine that coordinates AI decisions across multiple systems
- Continuous model training pipeline that updates agents based on operational feedback
- Dashboard for monitoring performance metrics, usage analytics, and compliance controls