Policy-driven AI automation for regulated finance workflows
MightyBot builds deterministic AI agents for financial compliance workflows—document ingestion, policy application, decision-making, system writes—with full auditability. The tech stack (Python + FastAPI + Ray + LangGraph + Anthropic/OpenAI + Qdrant RAG) reflects a mature LLM-ops foundation, while active projects on evaluation frameworks and observability reveal early-stage focus on production reliability and model governance rather than feature expansion.
MightyBot automates high-stakes workflows in regulated finance, turning business rules into executable, auditable agents. The platform handles messy document ingestion, multi-layered policy logic, and system-of-record writes with human oversight—solving for accuracy, speed, and regulatory proof simultaneously. Core use case: reducing four-hour lending reviews to minutes at 99%+ accuracy. The company is SOC 2 Type II certified and engineered for enterprise-grade compliance, targeting mid-market and enterprise finance teams where workflow complexity and regulatory constraints make manual review the only current option.
Python, FastAPI, Ray, Kubernetes, LangGraph, Anthropic, OpenAI, Qdrant, PostgreSQL, and GCP. Infrastructure is built on Docker, Helm, Terraform, and Ansible for reproducibility and scale.
Palo Alto, California. Founded in 2023 as a privately held company.
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