Skip to main content

AppliedAI

Category: AI Agents

An enterprise-grade agentic AI platform that utilizes proprietary 'Large Work Models' to automate complex, mission-critical back-office workflows in highly regulated industries. AppliedAI was founded in 2021. The company is led by Arya H. Bolurfrushan. Based in Abu Dhabi, UAE. Team size: 51-200. Total funding raised: $55M Series A (Feb 2025) + undisclosed Pre-Series B. Latest round: Pre-Series B (Jan 2026) - led by Mubadala, Arbor Ventures - amount undisclosed. Key investors include ["G42","Bessemer Venture Partners","Palantir","Mubadala","Arbor Ventures","Accrete Capital"].

Founded
2021
Headquarters
Abu Dhabi, UAE
Team size
51-200
Total funding
$55M Series A (Feb 2025) + undisclosed Pre-Series B

Value proposition

Delivers human-level accuracy in supervised automation by re-engineering professional workflows through data-driven intelligence, significantly reducing operational costs while maintaining military-grade security and compliance.

Products and solutions

["Opus Platform (Flagship agentic automation engine)","Large Work Model (LWM) - Alpha 1 Large & Small","Work Knowledge Graph (WKG)","Supervised Automation Workflow Engine","Outcome-based Productivity Dashboard"]

Unique value

Pioneered the shift from Large Language Models (LLMs) to 'Large Work Models' (LWMs), which are purpose-built to understand and execute professional procedural workflows rather than just generating text.

Target customer

Large enterprises in highly regulated sectors, government entities, and organizations seeking to replace or optimize Business Process Outsourcing (BPO) operations.

Industries served

["Banking and Financial Services","Insurance","Healthcare and Pharmaceuticals","Government and Public Sector","Private Equity"]

Technology advantage

Utilizes a proprietary 'Work Knowledge Graph' to encode complex operational knowledge, allowing the AI to generate and optimize workflow structures that outperform standard LLMs in accuracy and process consistency.

How they differentiate

Pioneered 'Large Work Models' (LWM) and 'Work Knowledge Graphs' (WKG) that focus on executing complex, procedural professional workflows rather than just generating text or simple RPA scripts.

Main competitors

["UiPath","Glean","Moveworks","Sierra"]

Key partnerships

["G42 (Strategic lead investor and technology partner)","Palantir (Technology integration and investment partner)","McKinsey & Company (Strategic advisory and investment partner)","Firstsource (Enterprise automation and BPO optimization partner)","Caresyntax (Strategic healthcare AI collaboration)","Stanley Capital (Private equity workflow automation partnership)"]

Notable customers

["Stanley Capital","Firstsource","Caresyntax","RAK Petroleum"]

Major milestones

["Launched 'Opus' platform featuring the world's first Large Work Model (LWM) in 2024","Secured $55M Series A/Pre-Series B led by G42 in February 2025","Established strategic partnerships with Palantir and McKinsey & Company for enterprise deployment"]

Growth metrics

Team scaled to 51-200 employees; recognized as one of the largest Series A rounds in the Middle Eastern tech ecosystem.

Market positioning

Enterprise-grade agentic AI specialist for high-stakes, regulated industries (Banking, Healthcare, Insurance).

Geographic focus

Middle East (HQ in Abu Dhabi), Europe, and North America.

Patents and IP

Proprietary LWM architecture and Work Knowledge Graph (specific patent filings are typically kept confidential or are in 'pending' status for early-stage AI firms).

About Arya H. Bolurfrushan

Arya Bolurfrushan is a distinguished executive and entrepreneur with deep roots in finance and energy. Before founding AppliedAI (AAICO), he served as the CEO of RAK Petroleum plc, where he led the company's listing on the Oslo Stock Exchange at the age of 29. His career includes a tenure as an investment banker at Goldman Sachs in New York and founding Accrete Capital. He is a member of the Young Presidents' Organization (YPO) and has been recognized for his leadership in the Middle Eastern tech ecosystem.

Official website: