Validated investment data, governed workflows and decision-grade intelligence
Deploy AI with confidence knowing that your investment data, operational workflows and downstream systems are woven together in a single, governed, interoperable layer
Improve data foundations
30 years of benchmark and index expertise
Benefit from Rimes' deep expertise in the management of complex benchmark, index, ESG, private market and other investment data, as well as constant monitoring of rebalancing, corporate actions and other market events.
Cross asset class coverage
Access more than 1,000 data partners covering public and private investment data, including equities, fixed income, ESG, ETFs, commodities, crypto, real assets and corporate actions.
Continuous innovation
Stay ahead of changes sparked by emergent asset classes and trends knowing that Rimes collaborates closely with leading data originators, specialized sources, and other market data suppliers.
Reduce operational burden
Better data lineage
Rimes ingests, validates, enriches and governs investment data before it reaches any workflow, model, or decision point, ensuring lineage is established at point of entry.
Connected investment workflows
Security masters, price masters, entity masters and other mappings are all harmonized into a common language that allows every front, middle and back-office function to work from the same foundation.
AI-ready data and operations
Power agentic workflows, conversations and other automations with a clean, trusted data foundation and the connected intelligence surfaced through truly integrated data operations.
Deliver at scale
Industry-wide integrations
Rimes flexible architecture supports integrations with both client-side and third-party execution, portfolio management, performance management, accounting and other systems.
Flexible lakehouse architecture
Ensure position and other proprietary data is protected through a dedicated walled garden, while also benefitting from industry-leading lakehouse options, including Databricks and Snowflake.
Report with confidence
Stand behind every number and report to clients, auditors and regulators with confidence, knowing that Rimes has managed every data point against the highest standards in institutional finance.
Hear how Rimes helps clients thrive
“In our evaluation of various solution providers, we were particularly impressed with the portfolio optimization module, which enables us to consistently monitor and adapt customized portfolios to align them with agreed-upon client-specific objectives.”
Chief Data Officer
Pzena Investment Management
“At Aware Super our focus is to always put our members first and we are confident that Rimes delivers more effective cash allocation and rebalancing capabilities which in turn enables us to optimize our investment holdings.”
Michael Clavin - Head of Liquidity, Fixed Income and Markets
Aware Super
“We do not only manage $100bn of assets for our members, we also have access to $100bn worth of data which we can draw upon to help improve our investment decision making process. Our goal was to establish a strategic partnership with a firm that understood the challenges that asset owners encounter in managing core data.”
Rein van Rooyen - Head of Investment Performance & Operations
Australian Retirement Trust
“We are very excited to be working with the Rimes team to enhance Cbus’ investment data management capabilities. Rimes was selected because of the quality of the team, their genuine commitment to a partnership approach, the flexibility of the platform and its proven capabilities handling real assets such as Property and Infrastructure.”
Peta Stevenson - Manager of Investment Data and Analytics
Cbus
“Client service excellence is our uncompromising focus, and to achieve this, JANA continues to develop its best-of-breed partnership approach to tech-enable our business. After thoroughly evaluating several options, we selected Rimes. The implementation is live and is already enabling us to better service our customers, minimize risk, and confidently scale the business.”
General Manager of Technology and Data
JANA
“Rimes provides complex data on-boarding capabilities with simplified point-in-time mastering solutions. This delivers a significantly lower management burden and an ongoing reduced cost of ownership. All were crucial components of our stringent selection criteria.”
Featured use cases
The world’s leading asset managers and institutional investors rely on Rimes to solve their most complex investment data management problems with AI-ready data sets and decision-grade workflows built for scale.
Powered by a broad partner ecosystem
Rimes works with leading data originators, service providers, and technology partners to deliver trusted data and intelligence at scale.
Data partners
Access more than 2,500 data sets from 1,000+ data partners covering public and private markets.
Industry and technology partners
Rimes partners with a wide range of industry, market infrastructure and technology partners.
FAQs
The Intelligence Fabric for Capital Markets is a trusted enterprise data management and investment intelligence solution that transforms fragmented data, operations and workflows into decision-grade intelligence.
Implementing a holistic enterprise data management (EDM) strategy delivers substantial operational value:
- Trustworthy data and investment intelligence: Standardized data structure allows analytical and AI tools to deliver more reliable, accurate business insights.
- Lower operational costs: Eliminating system redundancies and manual data cleansing saves valuable engineering time.
- Regulatory compliance: Centralized visibility helps companies mitigate audit and financial risks associated with poor data handling.
An enterprise data management platform centralizes and automates the data and analysis workflows that investment teams rely on, with key benefits including:
- Faster time to market: Real-time data aggregation across asset classes, markets, and sources means portfolio managers work from current, complete information rather than stale spreadsheets.
- Reduced operational risk: Automated data validation and audit trails replace manual processes prone to error.
- Alpha generation: Advanced analytics surface opportunities and risks that manual analysis would miss or find too slowly
- Scalability: Teams can monitor more instruments, run more scenarios, and serve more clients without proportional headcount growth.
AI is only as good as its inputs. A platform that normalizes, cleanses, and enriches data across custodians, market data vendors, alternative data sources, and internal systems gives AI models a reliable data foundation.
Use cases can include:
- Portfolio construction — machine learning models that optimize across factors, constraints, and ESG criteria at scale, running scenarios that would take days manually
- Risk forecasting — models that detect correlation breakdowns or tail risks across complex multi-asset portfolios in real time
- Manager selection and monitoring — pattern recognition across manager performance, drawdowns, and factor exposures to flag style drift or deteriorating skill
- Liability matching — predictive models that stress-test portfolio cash flows against liability schedules under different macro scenarios
- Allocation rebalancing — automated triggers and recommendations when portfolios drift outside policy bands
- ESG monitoring — continuous screening of holdings against evolving ESG criteria and regulatory requirements