AI engineering for financial services compliance and customer growth
Dailoqa is an AI-native consulting firm built around financial services expertise, combining Azure OpenAI + Databricks + Snowflake infrastructure with domain knowledge in banking, capital markets, and wealth management. The stack shape—multi-cloud (Azure, AWS, GCP), heavy on orchestration (Kubernetes, ArgoCD, Jenkins), and centered on agentic AI—reveals a company scaling complex AI delivery across enterprise clients. Active projects span agentic AI prototypes, infrastructure-as-code pipelines, and compliance-integrated solutions, while the hiring mix (balanced engineering and data, mid-to-senior seniority) suggests they are moving from advisory into productized delivery.
Notable leadership hires: PMO Lead
Dailoqa delivers AI solutions and consulting to financial services institutions across retail banking, capital markets, wealth management, and risk/compliance. Founded in 2024, the London-based firm combines former financial institution leaders with AI engineers and academic researchers. They operate across three engagement models: in-house builds, co-development partnerships, and deployment on their proprietary Broccoli platform. Core focus areas include customer acquisition and retention optimization, workforce productivity, and regulatory compliance automation through predictive intelligence.
Azure OpenAI, Databricks, Snowflake, Synapse, Fivetran, Salesforce, Python, PySpark, dbt, Kubernetes, ArgoCD, Jenkins, MLflow, and multi-cloud infrastructure (Azure, AWS, GCP). They are actively adopting RAG.
Retail and institutional banking, capital markets, wealth management, and risk and regulations. Solutions focus on customer acquisition, compliance automation, and enterprise digital transformation in financial services.
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