Dailoqa offers Broccoli™, a production‑ready, customizable agentic AI platform that integrates advanced AI models into financial services environments. The platform provides pre‑built adapters, orchestration frameworks, and secure, compliance‑aligned data pipelines to connect AI agents with legacy banking systems and cloud infrastructure, enabling banks and fintech firms to scale AI initiatives from pilot to enterprise deployment and achieve measurable ROI.
Funding
Funding not disclosed
Founders
Product
Problem
Financial institutions struggle to incorporate advanced AI capabilities into existing legacy and cloud systems while maintaining regulatory compliance and uninterrupted operation. Existing AI projects often remain isolated pilots, lacking the integration infrastructure needed for enterprise-wide deployment and measurable ROI.
Solution
Dailoqa provides a production-ready, customizable agentic AI platform called Broccoli™ that serves as the integration layer between AI models and financial services environments. The platform offers pre-built adapters and orchestration frameworks that connect AI agents to legacy applications, data warehouses, and cloud services without disrupting mission-critical workflows. Secure data pipelines and compliance‑aligned controls ensure that AI actions adhere to industry regulations. By delivering end‑to‑end integration rather than point solutions, Dailoqa enables banks and fintech firms to scale AI initiatives from pilot to production, driving operational efficiency and measurable business outcomes.
Target Audience
Primary customers are large banks, credit unions, and fintech companies seeking to embed AI-driven decision support and automation into their existing technology stacks.
Features
- Pre‑built adapters for common banking systems, core banking platforms, and cloud infrastructures
- Orchestration framework that manages AI agent workflows, task routing, and error handling
- Secure, encrypted data pipelines with built‑in regulatory compliance checks
- Customizable agentic AI capabilities allowing domain‑specific model deployment and fine‑tuning
- Monitoring and analytics dashboard to track AI performance, ROI, and compliance metrics
- Scalable architecture designed for enterprise‑level workloads and high availability