Research & Development
Research-driven product development.
We work closely with Product and Engineering to turn advanced AI research into dependable, enterprise-grade automation. Our mission is to advance Vertical AI systems that combine generative reasoning with quantitative analytics, creating automation that is transparent, traceable, and auditable.
Our research
From rigorous research to reliable execution.
Vertical AI & generative intelligence
Our core research spans data provenance, SLA-driven orchestration, multi-agent coordination, evaluation frameworks, and domain ontologies, bridging academic rigour with real-world execution.
Digital Workers for the GCC
We encode industry ontologies, compliance frameworks, and regional data structures to maximise precision, explainability, and trust across financial services, legal, and space industries.
Reliability, governance & SLAs
We design SLA-driven orchestration that governs latency, accuracy, cost, and resilience across multi-agent systems, with embedded policy controls, audit trails, and real-time monitoring.
Anchored in Dubai's AI ecosystem
Trustworthy AI for mission-critical use cases.
As members of the Dubai AI Campus, we collaborate with regulators, financial institutions, and national champions to deliver trustworthy AI for mission-critical use cases.
Our research directly supports strategic priorities in financial services, legal, and the space industry, and expansion into additional regulated industries across MENA including healthcare, GovTech, and real estate, advancing the UAE's National AI Strategy 2031 and the region's vision for secure, sovereign digital infrastructure.
In partnership with
Open research
Published research papers
Vertical AI and Generative Intelligence: Driving Data Insights with Digital Workers
Artificial Intelligence has surged in investment and deployment, with generative models entering mainstream workflows while enterprises seek demonstrable, domain-specific value. This paper argues for Vertical AI, industry-tailored systems that unite generative components with analytical models, to deliver accuracy, trust, and adoption at enterprise scale. We highlight Dubai-relevant applications in energy markets, financial services, and sustainability.
DOI: 10.5281/zenodo.17380230
SLA-Driven Orchestration of Long-Running Multi-Agent Enterprise Workflows
Enterprises are adopting multi-agent AI workflows to automate complex processes. This paper introduces an SLA-first orchestration framework to guarantee latency, accuracy, cost and resilience, turning AI from best-effort to dependable infrastructure. We discuss Dubai-specific use cases in banking, loan approval, legal document processing, and space industry data processing and anomaly detection.
DOI: 10.5281/zenodo.17395641