Rock Group operates at the forefront of finance and artificial intelligence. Through RockHewn, we deliver high-end strategic advisory and executive leadership for asset managers and financial services. Through Rock Analytics, we build AI-native platforms that turn earnings calls,press releases, filings, and macro data into structured investment intelligence.
Building enduring advantage in Financial Services
Turning complex markets into clear advantage through AI.
Rock Group was founded on a single thesis: the institutions that will outperform over the next decade are those that combine rigorous financial discipline with advanced technology and AI-native intelligence.
We operate in two operating frameworks — RockHewn and Rock Analytics — each purpose-built for a specific layer of that thesis. RockHewn brings extensive experience across Asset Management, Banking, and Wealth Management, our team bridges cutting-edge AI technology with the nuanced realities of modern finance. Rock Analytics builds the AI tools that give practitioners an analytical edge.
Our team spans investment management, solution engineering, and AI research. We are a small group that moves fast, thinks independently, and builds for the long term.
RockHewn is a specialized advisory firm that helps asset managers adopt and integrate AI into their investment processes. We support financial institutions in their transition to AI-first organizations through strategic consultancy, C-level executive leadership, and practical implementation guidance.
We are a specialized consulting firm delivering advanced analytics, intelligent automation, hybrid cloud transformation, and enterprise data governance solutions to the financial services industry. Combining deep domain expertise with hands-on technical delivery, we support Banking, Asset & Wealth Management, and Investment firms in turning complex challenges into measurable business advantage. Our focus areas include Sustainable Finance, Risk Management, ALM, Treasury, and Portfolio Intelligence — all powered by pragmatic, production-ready AI and modern technology strategies.
We have delivered high-impact projects for leading banks and asset managers across Europe and North America. Our experience spans complex regulatory programs, large-scale digital transformations, and cloud modernization initiatives for some of the industry’s largest players
Comprehensive wealth management infrastructure for single and multi-family offices — from investment policy design to consolidated reporting and tax-efficient structuring.
Our technology advice is grounded in real-world delivery, in-house experimentation, and proven results — not recycled trends or vendor marketing. We help financial institutions adopt and scale the most impactful technologies of today
We have built production-grade analytics platforms for portfolio managment, risk management and data governance, and guided multimillion-dollar transformation programs that balance innovation speed with enterprise control and regulatory rigor.
We combine deep financial domain knowledge with modern engineering practices to build high-quality, intelligent products. From concept to deployment, we work alongside your teams to accelerate development, reduce technical debt, and create user-centric solutions that leverage generative AI, automation, and real-time insights — all while maintaining the highest standards of quality and compliance.
We support the full lifecycle of model development — from data sourcing and feature engineering to deployment, monitoring, and governance. Our experience spans traditional risk models and next-generation AI models (including LLMs and multimodal systems) for regulatory and business applications in credit risk, market risk, climate risk, and investment decisioning.
Moving to the cloud in 2026 requires more than lift-and-shift. We develop pragmatic roadmaps that balance cost optimization, data sovereignty, resilience, and innovation. Our approach includes risk assessments, total-cost-of-ownership analysis, and secure hybrid architectures that integrate seamlessly with your existing systems and future AI capabilities.
Rock Analytics is an AI-native intelligence solutions company purpose-built for financial markets. We build LLM-powered tools that transform raw data — earnings calls, market filings, macro indicators — into structured, actionable signals. Designed for analysts, portfolio managers, retail investors,and fintech teams who need clarity at scale.
LLM-powered analysis of earnings transcripts, SEC/regulatory filings, and news to surface non-obvious signals before they move markets.
Multi-factor screening models combining fundamental, technical, and alternative data for systematic opportunity identification across global equities.
AI-generated investment research briefs and portfolio summaries — structured, sourced, and ready to present. Cut research time from days to minutes.
Real-time sentiment scoring across financial documents, social data, and news. Detect momentum shifts and narrative changes before price moves.
Fine-tuned LLMs and prediction models built specifically for your investment workflow, data environment, and decision-making process.
Clean, structured financial data pipelines and REST APIs ready for integration into your existing analytics stack, dashboards, or trading systems.
Built an LLM pipeline that processes thousads of earnings calls in real-time, extracting management tone, guidance revisions, and risk flags in real time.
Trade execution solutions directly linked to the intelligence engine. Executes trades in real-time based on AI-generated signals with smart order routing, algorithmic strategies, pre-trade risk controls, and minimal slippage across multiple asset classes.
AI-powered portfolio monitoring platform, delivering daily narrative summaries, anomaly detection, and rebalancing triggers.
Automated parsing and comparison of SAMA, SEC, and regulatory disclosures — flags material changes in risk factors, covenants, and forward guidance.
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. AI is reshaping research, personalization at scale, and alpha generation.
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.