AI-powered SaaS platform for wealth management and trust services operations
Quantios operates a SaaS platform for the wealth, trust, and corporate services industry, serving over 600 organisations. The tech stack reveals a dual-engine architecture: a mature Microsoft ecosystem (Dynamics 365, Business Central, Azure) for core operations paired with a modern AI/data layer (LangChain, Azure OpenAI, Databricks, Snowflake, RAG) still in active development. The hiring mix skews engineering-heavy with active investment in LLM pipelines and predictive monitoring, suggesting a strategic push to embed AI features across the platform while integrating a recent acquisition.
Quantios powers operations, governance, and investment management for wealth, trust, and corporate services providers globally. The platform is built on Microsoft enterprise infrastructure (Dynamics 365, Business Central) for regulatory compliance and operational control, extended with cloud analytics (Snowflake, Databricks) and generative AI capabilities. The company serves mid-market to large clients requiring multi-jurisdictional compliance, automation across complex workflows, and cost control. Current engineering priorities include predictive monitoring dashboards, generative AI-powered automation and knowledge bases, and enterprise data platform consolidation—reflecting both product maturation and post-acquisition integration work.
Core platform: Microsoft Dynamics 365, Business Central, Azure. Data/AI layer: Snowflake, Databricks, Azure OpenAI, LangChain, RAG. Frontend: React, Angular. Analytics: Power BI, Microsoft Fabric. The stack combines mature Microsoft enterprise tooling with modern AI and data infrastructure.
Quantios has 201–500 employees. Current hiring velocity is accelerating, with engineering, support, and data roles representing the majority of active openings.
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Quantios'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 →
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