Strategic advisory meets production AI. Two companies, one mission — turning deep market expertise and real-time data into edge for financial institutions and investors.
Advisory at the intersection of AI and institutional finance.
Turning complex markets into clear advantage through AI.
Rock Group was founded on a thesis: the financial institutions and investors that will outperform over the next decade are those that combine deep domain expertise with AI-native intelligence and disciplined execution.
Our team consists of active market participants and technologists who move fast, value precision, and obsess over production readiness, data accuracy, and risk controls.
AI transformation roadmaps, intelligent automation, and enterprise data strategy tailored to financial services. Focus areas include portfolio intelligence, risk management, sustainable finance, ALM, treasury, and AI-driven operating models.
End-to-end model development — traditional risk models through next-generation LLM systems. From data sourcing and feature engineering to deployment, monitoring, and governance across credit risk, market risk, and investment decisioning.
We build intelligent products alongside your teams — reducing technical debt, delivering user-centric solutions with generative AI, real-time insights, and compliance baked in from day one.
Support for complex regulatory programs and large-scale transformations at financial institutions across North America and Europe — including AI governance frameworks, model risk management, and production AI pipeline oversight.
Pragmatic transformation delivery that balances innovation speed with enterprise control, regulatory rigor, and cost discipline. Cloud migration, digital transformation, and AI program execution.
We combine deep financial domain knowledge with modern engineering to build high-quality, intelligent products. From concept to deployment, we accelerate development while maintaining quality and compliance.
Full lifecycle model development spanning traditional risk models and next-generation AI/LLM systems for regulatory and investment applications.
Pragmatic transformation roadmaps that balance innovation speed with enterprise control, regulatory rigor, and cost optimization.
Rock Analytics is an AI-native market intelligence platform built for financial markets. The engine scores hundreds of press releases, SEC filings, and market news articles per day — covering NASDAQ and NYSE with the infrastructure to scale globally. Raw, unstructured data becomes structured, actionable signals for analysts, portfolio managers, and fintech teams who need clarity at speed.
LLM-powered analysis of earnings transcripts, SEC/regulatory filings, and news to surface non-obvious signals before they move markets.
Multi-factor models combining fundamentals, technicals, sentiment, and alternative data for systematic opportunity detection.
AI-generated briefs, daily narrative summaries, anomaly detection, and rebalancing recommendations — dramatically cutting research time while maintaining traceability.
Real-time sentiment scoring across documents, social, and news feeds. Detect narrative shifts and momentum changes ahead of price action.
Bespoke LLMs and prediction models tailored to your data environment, workflows, and compliance standards.
Production-ready pipelines, structured datasets, and REST APIs for seamless integration into dashboards, trading systems, or existing stacks.
LLM pipeline that processes thousands of earnings calls and filings in near real-time. Extracts tone, guidance revisions, risk flags, and sentiment with high precision.
End-to-end systems linking intelligence outputs to trade signals with smart order routing, pre-trade risk controls, dynamic pricing, and execution logic.
AI-powered monitoring platform providing daily narrative summaries, performance attribution, anomaly detection, and actionable rebalancing triggers.
Automated parsing, comparison, and flagging of material changes across SEC and other regulatory disclosures — accelerating compliance review and risk identification.
Under the hood
Our pipelines continuously pull Press Releases, Market Stream News, and SEC 8-K reports the moment they're published — before most traders read them.
Each event is analyzed by a multi-model LLM pipeline that assigns a sentiment score (0–10), classifies urgency tier, and generates a plain-language justification.
Scored signals stream into the dashboard in real time — sorted by urgency, freshness-aware, and filterable by ticker, score range, or date.
Who it's for
Magnetar Capital, the $18 billion hedge fund firm, will shun human analysts for its newest offering and instead deploy hundreds of AI bots to research stocks. The firm's AI technology seeks to replicate the depth of research and analysis usually provided by fleets of humans...
Artificial intelligence will bring major upheaval to wealth management. AI's ability to condense financial data will allow just a few people to offer services that previously occupied entire teams in a bank.
The AI in finance market is projected to expand from $38.36 billion in 2024 to $190.33 billion by 2030. Key drivers include portfolio optimization, real-time analytics, fraud detection, and personalized services as firms shift to AI-first operating models.
"We will see asset management as an AI business in five years. Letting a human meddle in the process would be like a commercial jet pilot turning off the autopilot..." — Aaron Brown, Bloomberg columnist and former Chief Risk Manager at AQR.
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Whether you're exploring a partnership with RockHewn, want to integrate Rock Analytics into your workflow, or have a broader strategic conversation in mind — we're a direct team. No sales funnel, no automated sequences.
Partnering with pioneers in the financial sector.
