AI for Financial Services
AI embedded where the money moves — research, risk, retail banking, and trading.
We build the AI systems that finance firms actually deploy — agentic research assistants, explainable credit models, sentiment-driven signals, RL trading agents, retail banking concierges, and document processing that survives audit. Production systems, not slideware.
What's inside.
Agentic Financial Research
LLM agents that pull from your data providers (Bloomberg, FactSet, S&P, PitchBook), parse 10-Ks and earnings transcripts, calculate valuation multiples, and generate structured, citation-backed analyst reports. Compliance-safe outputs, audit trails, and human-in-the-loop on the numbers that matter.
Credit Scoring & Explainable Risk
Gradient-boosting and deep models for Probability of Default and loan eligibility — paired with explainable AI (XAI) so every decision has an auditable reason and every denial has a plain-language explanation. Extends fair credit to thin-file populations without breaking fair-lending constraints.
Market Sentiment Analysis
NLP over financial news, earnings calls, expert transcripts, and social media to quantify sentiment impact on prices, spreads, and yields. BERT and LLM classifiers producing tradeable signals or surveillance-grade compliance flags — with attribution back to the source article.
Algorithmic Trading Agents
Reinforcement-learning trading agents wired into the risk framework you already run. Rigorous backtesting infrastructure, walk-forward validation, capacity and decay analysis — no synthetic-benchmark theater, and no strategies you can't explain to a regulator.
Retail Banking & Wealth Assistants
Smart budgeting, personal-finance concierge, and robo-advisor experiences your bank deploys to retail customers. Transaction ingestion, expense categorization, saving strategies, and anomaly alerts via SMS or push — with clean handoff to your human advisors when accounts warrant it.
Document Processing & KYC
Extract structured data from loan documents, KYC packets, contracts, and prospectuses. Automate onboarding, cut manual review time significantly, and keep an audit trail your compliance team can defend under regulator review.
How we build AI that finance can actually ship.
Compliance from day one, not day one hundred.
Every model ships with an explainable-AI layer. Every output produces an audit trail. Every deployment leaves a regulator-friendly reasoning trace. We were building financial software before model-risk management was a phrase — compliance isn't a checkbox we add at the end.
Trained on your data, not the internet.
RAG grounded in your firm's proprietary research. Fine-tunes on your labeled trades, credit decisions, or claims. Evaluated on your live traffic before it touches a customer. Off-the-shelf LLMs are our starting point, not the deliverable — a generic model in a specific business is a slow leak.
Same engineers who ship your OMS.
150+ years of combined executive experience in brokerages, exchanges, and prop firms. We speak your risk team's language before we open the codebase — and we build in human-in-the-loop by default for the decisions that matter (credit denials, trade cutoffs, KYC exceptions, model overrides).
Bring us the problem your team keeps avoiding.
A trading system that keeps getting kicked down the road. A model stuck in staging. An audit that's coming. Tell us — you'll get a plan, not a pitch.