AUM managed using IVP technology
IVP Master Data ManagementBuy-side Data Management Simplified. Cloud-enabled. Enhanced with AI Agents.
The IVP Master Data Management (MDM) Suite is a platform tailored for the buy-side of investment management. It integrates security, entity, pricing, and operational data into a unified data fabric with built-in governance, real-time monitoring and customizable rules. Featuring a shared buy-side semantic layer and MCP-compliant AI agents, the cloud-native IVP MDM Suite serves as a central hub for asset managers, hedge funds, private equity firms, and CLOs.
0.5tn+
0+
Leading fund managers using IVP solutions
AI-enabled
Powered with Anthropic Claude, OpenAI, AWS Bedrock, Snowflake Cortex
Semantic Layer
Buy-side semantic layer, domain ontology, governed metric and AI metadata fabric
THE CONNECTED CORE FOR BUY-SIDE DATA
One Platform. Enhanced with AI agents. Governed with IVP Semantic Layer.
The IVP MDM Suite delivers buy-side master data management as one connected operating layer rather than three disconnected tools. Each module is purpose-built. Each is interoperable with the others, with the IVP AI agents.
Single Source of Truth
Centralize security, fund, entities, reference. pricing and market data into a governed golden copy of data that downstream systems can trust.
Modular and Scalable
Adopt IVP Security and Reference Master, IVP Enterprise Data Management or the IVP Data Warehouse Solution independently as modules, or deploy the full IVP MDM Suite. Extend, integrate and scale anytime without re-architecting.
AI Native Substrate
Use MCP-enabled AI agents for credit document processing, reference mastering, pipeline construction, data quality management, and compliance rule extraction and more across every module.
Real-Time Analytics
Query the IVP Data Warehouse live through Sigma / Power BI / Excel addin / MCP/ API ensures real-time data access with full row- and column-level security inherited from the IVP MDM suite.
Buy-Side Semantic Layer
Rely on a governed domain ontology, metrics layer, knowledge graph, and AI metadata fabric that keeps definitions consistent across modules and makes the suite IVP CoPilot ready.
Audit-Ready by Design
Maintain full lineage, time-series history, and change traceability across mastering, orchestration, and analytical layers.
Cloud-Native Architecture
Deploy across AWS, Azure, and Snowflake. Scale storage, compute, and concurrency without architectural rework.
Plug-and-Play Connectivity
Use more than 100 native adapters to integrate with fund administrators, brokers, OMS, PMS, accounting systems, and market data vendors.
THE BUY-SIDE SEMANTIC LAYER
Where Domain, Data, and AI Converge
The IVP Master Data Management Suite is unified by a governed buy-side semantic layer that keeps definitions, metrics, and relationships consistent across IVP Security and Reference Master, IVP Enterprise Data Management, and the IVP Data Warehouse. It is the connective tissue that makes the suite intelligent, AI-ready, and CoPilot aware.
Domain Ontology
Business objects modeled around how buy-side firms actually operate, funds, strategies, instruments, counterparties, and the relationships between them.
Metrics Layer
Governed definitions for NAV, IRR, exposure, performance, and risk metrics, defined once, applied everywhere.
Knowledge Graph
Look through linkage across positions, instruments, counterparties, and entities for instant impact analysis.
AI Metadata Fabric
CoPilot ready metadata that gives every AI agent grounded, contextualized access to enterprise data.
AI Agents Embedded Across the MDM Suite
- Configures automated DQ rules, detects anomalies, and delivers continuous monitoring with real-time alerts across all ingestion pipelines.
- Smart rule recommendations and natural language configuration powered by enterprise knowledge.
Outcome: Consistent, governed data with fewer exceptions.
ENTERPRISE SEARCH
- Context-aware, semantic natural language search powered by a unified business ontology across deals, IVP Security and Reference Master, IVP Pricing and Valuation, and the IVP Data Warehouse
- Accessible through Claude and ChatGPT via MCP or can be embedded into Teams/Slack or Excel Add-in. Surfaces the right data without the need to navigate multiple systems.
PRICING AND VALUATION ANALYTICS
- Enables natural language access to pricing trends, challenge history, and valuation analytics.
- Identifies pricing discrepancies and automatically initiates challenge workflows.
Outcome: Faster discovery across every IVP solution through a single conversational interface.
- Processes Excel, CSV, and complex PDFs in any layout with zero manual configuration.
- Uses a tiered, multi-model AI pipeline to extract structured JSON and validate it against business rules.
- Automated DQM loop self-corrects errors to ensure 100% accurate data ingestion.
- Simultaneously parses and normalizes multi-custodian files and multi-table sheets in a single run.
Outcome: Faster onboarding, zero manual configuration, and accurate data ingestion at enterprise scale.
- Builds natural-language ETL pipelines with full lineage and transformations, reducing pipeline development time.
- Automatically analyses SQL views to detect inefficiencies, suggest indexing strategies, and deliver faster, smarter dashboards.
- AI-assisted report generation accelerates output across the portfolio.
- Tracks end-to-end lineage back to the source of any security or reference attribute across every transformation hop.
Outcome: Faster pipeline construction, accelerated dashboards, and full trust in data lineage.
- Normalizes rates, classifiers, and codes to industry standards.
- Identifies and resolves duplicate records automatically to ensure consistent, reliable reference data for downstream systems.
Outcome: Consistent reference sets and automated de-duplication across all downstream systems.
- Resolves entities into golden records, syncs master data across systems, and creates legal entities from PDFs.
- Establishes a single, trusted golden record across the enterprise data landscape.
Outcome: A governed golden record across all instruments and counterparties.
- Extracts loan terms, covenants, and amortization schedules from credit documents with citation-backed accuracy.
- Converts legal content into structured, validated inputs integrated with WSO and the IVP Security and Reference Master.
- Successfully tested on more than 1,000 credit agreements, including bespoke deals, with >95% extraction accuracy.
- Scales across syndicated loan and private credit documents regardless of format or jurisdiction.
Outcome: Faster deal onboarding with source-verified data, stronger risk oversight, and direct valuation workflow integration.
- Converts IMAs, CLOs, and regulatory PDFs into platform-ready pre- and post-trade rules.
- Executes approved rules daily in the IVP Compliance module, eliminating manual configuration and cutting deployment time.
- Reduces drafting effort and accelerates time from agreement to active compliance monitoring.
Outcome: Audit-ready rules and faster time to compliance from agreement to production.
- Recommends spreads and discount rates for private credit assets using market comparables, liquidity adjustments, and transparent, auditable rationale.
- Generates committee-ready valuation memos by analyzing inputs, assumptions, methodologies, and sensitivities with structured outputs that support analyst review and approval workflows.
- Surfaces comparable transaction data and current market spread benchmarks to support defensible rate selection and challenge review.
- Speeds up the valuation cycle while maintaining full audit traceability from rate recommendation to final memo output.
Outcome: Faster valuations with defensible, audit-ready outputs.
- Continuously evaluates vendor and broker quotes, assigning confidence scores and highlighting anomalies for analyst review.
- Generates pricing and rerate recommendations from the latest broker data with audited proof of change.
- Ensures quotes are accurate, timely, and defensible against challenges.
Outcome: Higher revenue capture, audited accuracy, and confidence-scored quote recommendations.
- Parses credit agreement data maps directly into valuation workflows for discount rate and spread modeling.
Outcome: Recommends spreads and discount rates for private credit assets using market comparables, liquidity adjustments, and transparent rationale
- Configures automated DQ rules, detects anomalies, and delivers continuous monitoring with real-time alerts across all ingestion pipelines.
- Smart rule recommendations and natural language configuration powered by enterprise knowledge.
Outcome: Consistent, governed data with fewer exceptions.
ENTERPRISE SEARCH
- Context-aware, semantic natural language search powered by a unified business ontology across deals, IVP Security and Reference Master, IVP Pricing and Valuation, and the IVP Data Warehouse
- Accessible through Claude and ChatGPT via MCP or can be embedded into Teams/Slack or Excel Add-in. Surfaces the right data without the need to navigate multiple systems.
PRICING AND VALUATION ANALYTICS
- Enables natural language access to pricing trends, challenge history, and valuation analytics.
- Identifies pricing discrepancies and automatically initiates challenge workflows.
Outcome: Faster discovery across every IVP solution through a single conversational interface.
- Processes Excel, CSV, and complex PDFs in any layout with zero manual configuration.
- Uses a tiered, multi-model AI pipeline to extract structured JSON and validate it against business rules.
- Automated DQM loop self-corrects errors to ensure 100% accurate data ingestion.
- Simultaneously parses and normalizes multi-custodian files and multi-table sheets in a single run.
Outcome: Faster onboarding, zero manual configuration, and accurate data ingestion at enterprise scale.
- Builds natural-language ETL pipelines with full lineage and transformations, reducing pipeline development time.
- Automatically analyses SQL views to detect inefficiencies, suggest indexing strategies, and deliver faster, smarter dashboards.
- AI-assisted report generation accelerates output across the portfolio.
- Tracks end-to-end lineage back to the source of any security or reference attribute across every transformation hop.
Outcome: Faster pipeline construction, accelerated dashboards, and full trust in data lineage.
- Normalizes rates, classifiers, and codes to industry standards.
- Identifies and resolves duplicate records automatically to ensure consistent, reliable reference data for downstream systems.
Outcome: Consistent reference sets and automated de-duplication across all downstream systems.
- Resolves entities into golden records, syncs master data across systems, and creates legal entities from PDFs.
- Establishes a single, trusted golden record across the enterprise data landscape.
Outcome: A governed golden record across all instruments and counterparties.
- Extracts loan terms, covenants, and amortization schedules from credit documents with citation-backed accuracy.
- Converts legal content into structured, validated inputs integrated with WSO and the IVP Security and Reference Master.
- Successfully tested on more than 1,000 credit agreements, including bespoke deals, with >95% extraction accuracy.
- Scales across syndicated loan and private credit documents regardless of format or jurisdiction.
Outcome: Faster deal onboarding with source-verified data, stronger risk oversight, and direct valuation workflow integration.
- Converts IMAs, CLOs, and regulatory PDFs into platform-ready pre- and post-trade rules.
- Executes approved rules daily in the IVP Compliance module, eliminating manual configuration and cutting deployment time.
- Reduces drafting effort and accelerates time from agreement to active compliance monitoring.
Outcome: Audit-ready rules and faster time to compliance from agreement to production.
- Recommends spreads and discount rates for private credit assets using market comparables, liquidity adjustments, and transparent, auditable rationale.
- Generates committee-ready valuation memos by analyzing inputs, assumptions, methodologies, and sensitivities with structured outputs that support analyst review and approval workflows.
- Surfaces comparable transaction data and current market spread benchmarks to support defensible rate selection and challenge review.
- Speeds up the valuation cycle while maintaining full audit traceability from rate recommendation to final memo output.
Outcome: Faster valuations with defensible, audit-ready outputs.
- Continuously evaluates vendor and broker quotes, assigning confidence scores and highlighting anomalies for analyst review.
- Generates pricing and rerate recommendations from the latest broker data with audited proof of change.
- Ensures quotes are accurate, timely, and defensible against challenges.
Outcome: Higher revenue capture, audited accuracy, and confidence-scored quote recommendations.
- Parses credit agreement data maps directly into valuation workflows for discount rate and spread modeling.
Outcome: Recommends spreads and discount rates for private credit assets using market comparables, liquidity adjustments, and transparent rationale
MDM SUITE COMPONENTS
Three Purpose-Built Modules. One Governed Platform.
The IVP Master Data Management (MDM) Suite is a fully integrated platform designed to centralize, govern, and optimize all critical investment data across every asset class, workflow, and reporting requirement. Purpose-built for asset managers, hedge funds, and private capital, the suite combines modular strength with seamless interoperability to deliver accurate, timely, and auditable data at scale.
IVP Security and Reference Master (SRM)
The mastering layer.
IVP Security and Reference Master centralizes instruments, entities, counterparties, and reference data into a governed reference master with real-time exception routing, AI-powered credit agreement parsing, and a configurable, schema-driven model for any asset class. It produces a trusted golden copy of data for downstream operations.
Key capabilities: Golden copy creation and distribution · Cross-asset modeling · Corporate actions · 100+ adapters · Snowflake-enabled distribution
IVP Enterprise Data Management (EDM)
The orchestration and governance layer.
IVP Enterprise Data Management is a no-code/low-code, cloud-native enterprise data management platform that automates ingestion, validation, governance, cataloging, lineage, and distribution from fund administrators, brokers, OMS, PMS, accounting systems, and market data vendors. It is the control plane for investment data movement.
Key capabilities: Low-code pipelines · 100+ preloaded data quality rules · End-to-end lineage · Domain-aware modeling · 100+ adapters
IVP Data Warehouse Solution (DWH)
The analytical core.
The IVP Data Warehouse Solution centralizes, normalizes, and operationalizes investment data with bitemporal storage, audit-ready lineage, strategy-aware performance, and a live Sigma and Power BI reporting layer for grid-based, paginated, and Excel-native consumption. It is the governed analytical foundation for the IVP MDM Suite.
Key capabilities: Bitemporal storage · Strategy-aware performance · Support for Power BI or live dashboards with Sigma · Pre- and post-trade compliance reporting · GIPS-ready
IVP Pricing and Valuation Solution
Pricing and valuation modeling layer.
A comprehensive solution that enables funds to store prices, price parameters, and related market data as well as apply valuation policies and consistently deliver prices that executives, investors, and auditors can review with confidence.
Key capabilities: Pricing waterfall automation · Exception management with multi-level approvals · Bloomberg, broker, and 100+ vendor adapters · ISDA CDS, IRS, DCF, and comparables model support · Valuation committee reporting
IVP Entity Master
IVP Entity Master centralizes funds, share classes, fund management companies, counterparties, and party relationships into a governed entity master that controls how new counterparties are onboarded and how new funds are launched. It produces a single golden copy of legal entity and counterparty data, with configurable N-level approval workflows, full party exposure attributes, and downstream synchronization through the IVP EDM toolkit.
Key capabilities: Pre-configured fund and share class modeling · Configurable N-level approval workflows · Party exposure, ratings, and due diligence attributes · Bloomberg, GLEIF, and S&P Capital IQ adapters · Downstream sync to PAS/PMS, OMS/EMS, data warehouse, and risk systems
IVP MDM SUITE USE CASES
Hedge Funds
Consolidate fund admin, broker, OMS, and risk data through one governed master data management platform. Generate audit-ready performance, exposure, and investor reporting at peak cycle without manual reconciliation.
Private Credit and Private Equity
Ingest deal terms, agent notices, and borrower financials from PDFs and CRMs. Master legal entities, counterparties, and complex instruments through a configurable, schema-driven reference model. Model Private equity valuations with ease with this integrated platform.
Traditional Asset Managers
Automate multi-asset investment data management across security and reference data, performance and GIPS reporting, and pre- and post-trade compliance, through one governed suite rather than stitched point tools.
Technology and Operations Leaders
Modernize the buy-side data architecture without rebuilding it. The IVP MDM Suite is cloud-ready, MCP-enabled and deployable module by module against existing infrastructure.
Data Management as a Service
Inconsistent data, fragmented systems, and manual processes create inefficiencies, increase risk, and make decision-making challenging. Without proper checks and controls, firms struggle to maintain a reliable source of truth.
IVP Data Management as a Service ensures data integrity by managing retrieval, routing, monitoring, and maintenance while consolidating information from multiple sources. By eliminating silos and enhancing visibility, we help firms improve data accuracy, reduce risk, and control costs—with 24/7 support, KPI monitoring, multi-vendor expertise, and scalable solutions.
Frequently Asked Questions
What is master data management (MDM)?
+What is the IVP Master Data Management (MDM) Suite?
+What are the components of the IVP MDM Suite?
+How is the IVP MDM Suite different from a generic master data management platform?
+Can firms adopt one IVP MDM module without the others?
+What role do AI agents play in the IVP MDM Suite?
+What is the Buy-Side Semantic Layer?
+How does the IVP MDM Suite handle data governance, lineage, and auditability?
+How does the IVP MDM Suite connect to existing systems and cloud platforms?
+How does the IVP MDM Suite support hedge fund, private credit, and asset manager workflows?
+Can the IVP MDM Suite run as a managed service?
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