BlueSoft is the AI engineering team built around fintech. We build production RAG, agents, MCP integrations, and ML features for B2B fintech SaaS companies.

The credibility line:

The AI work going into fintech in 2026 is no longer pilot work. Loan underwriting agents are routing live applications. KYC/AML triage agents are recommending decisions that get reviewed and signed. Multi-agent systems are orchestrating document intake, validation, exception routing, and audit logging — across regulatory boundaries that the EU AI Act now formalizes for high-risk financial services use cases. The bar for what "production" means has moved.

How we build to that bar:

▸ Graph-orchestrated agent systems (LangGraph, Claude Agent SDK) with explicit state, checkpointing, and time-travel debugging — not free-form ReAct loops that nobody can audit at 2am
▸ Evaluation harnesses built before any pipeline goes live — labeled regression sets in Ragas/DeepEval, wired into CI on every prompt, model, and retrieval change
▸ Observability from day one (LangSmith / Arize Phoenix) with traces, token costs, and failure-mode dashboards visible to the client team, not just us
▸ MCP-based tool integration with audited action scopes — read-only, confirm-required, and autonomous tiers separated by design, not by hope
▸ Documentation and audit trails written for regulatory review, not just engineering handoff

What we typically build:

▸ RAG over financial documents — pitch decks, 10-Ks, loan files, compliance archives
▸ Multi-agent systems for finance operations — underwriting orchestration, KYC/AML triage, claims processing, fraud investigation workflows
▸ MCP integrations connecting LLMs to ledger, ERP, CRM, and core banking systems
▸ LLM features inside existing fintech products
▸ ML models for fraud, risk, and underwriting decisions

The team is small and senior. The CEO leads discovery, architecture, and technical reviews on every engagement. Tradevo, our own AI fintech product, is where we t

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BlueSoft

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