Operations platform for restoration contractors with AI-driven workflow automation
Albi builds operations software for the restoration industry—a vertical SaaS targeting field service contractors. The tech stack reveals a cross-platform mobile strategy (Flutter/Dart for iOS/Android) backed by polyglot infrastructure (.NET, Python, Java, Ruby on Rails on AWS/Azure/GCP) and emerging ML capabilities (adopting DeepSpeed, vLLM, Triton for LLM inference). Current roadmap priorities center on AI-driven automations and production-grade ML deployment, alongside scaling mid-market and enterprise onboarding—suggesting a shift from SMB self-serve toward sales-led expansion.
Albi provides an all-in-one operations platform for restoration contractors, covering field team management, client communication, project tracking, and job costing. Founded in 2019 and based in Oak Brook, Illinois, the company serves small-to-mid-market restoration businesses. The product spans iOS/Android mobile apps, a web dashboard, and integrations with third-party tools (HubSpot, QuickBooks, Intercom). Current efforts focus on scaling enterprise onboarding workflows, improving customer documentation, and embedding LLM-based automations into core product logic to reduce manual administrative work.
Albi uses Flutter and Dart for mobile (iOS/Android), .NET, Python, Java, and Ruby on Rails for backend services, PostgreSQL and MongoDB for data storage, and AWS, Azure, and GCP for cloud infrastructure. They're actively adopting DeepSpeed, vLLM, and Triton for LLM inference.
Current projects include NLP and LLM-based systems, AI-driven automations integrated with core product, Flutter application development, backend API development, mid-market and enterprise client onboarding, and production ML model deployment.
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Albi'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.