Goldman Sachs & Blackstone-Backed Alt-Asset Intelligence Platform
Muoro built a global alternative-asset intelligence platform from zero, now powering governed, AI-ready data for $9T+ in AUM across institutional investors worldwide.
Business Outcomes
Business Outcomes
$9T+
AUM under the platform ecosystem
10×
Faster valuations
~50%
Lower operating costs2021
Partnership start — still liveAbout Client
The client is a global AI-driven valuation and portfolio-monitoring platform serving alternative-asset managers, backed through Series A by Blackstone and Series B by Goldman Sachs. Its institutional client base includes pension funds, sovereign wealth funds, and PE and private credit firms who depend on trustworthy, auditable valuation and performance data across their portfolios.The platform was built to:- Aggregate and structure portfolio company data
- Provide real-time performance tracking
- Deliver instant fair value estimates through AI models
FinTech
The Challenge
Despite growing traction and a solid product roadmap, the client faced four scaling roadblocks.
The Challenge
Despite growing traction and a solid product roadmap, the client faced four scaling roadblocks.
Inconsistent Metrics
EBITDA, NAV, and KPIs diverged across systems, undermining trust in the numbers.AI Blocked
AI pilots were blocked because they amplified untrusted, inconsistent data.No Lineage
No lineage or audit trail existed for institutional LP reporting requirements.Onboarding Overhead
Every new client added manual operational overhead to the platform.AI Blocked
AI pilots were blocked because they amplified untrusted, inconsistent data.No Lineage
No lineage or audit trail existed for institutional LP reporting requirements.Onboarding Overhead
Every new client added manual operational overhead to the platform.Inconsistent Metrics
EBITDA, NAV, and KPIs diverged across systems, undermining trust in the numbers.AI Blocked
AI pilots were blocked because they amplified untrusted, inconsistent data.No Lineage
No lineage or audit trail existed for institutional LP reporting requirements.Onboarding Overhead
Every new client added manual operational overhead to the platform.Inconsistent Metrics
EBITDA, NAV, and KPIs diverged across systems, undermining trust in the numbers.AI Blocked
AI pilots were blocked because they amplified untrusted, inconsistent data.No Lineage
No lineage or audit trail existed for institutional LP reporting requirements.The Muoro Solution
Muoro delivered high-performance full-stack teams aligned to fintech workflows without long hiring delays.
The Muoro Solution
Muoro delivered high-performance full-stack teams aligned to fintech workflows without long hiring delays.
Valuation Product Build
Muoro built the valuation product end-to-end, from zero.Platform Migration
Led the Talend-to-Databricks platform migration for the leading AIF client.Unity Catalog Governance
Implemented Unity Catalog for lineage, access control, and audit.Java full-stack
|Databricks
|Unity Catalog
|Power BI
|Snowflake
|Talen
|Delta Laked
Impact & Results
We never fail to deliver on the outcomes that matter most.
Impact & Results
We never fail to deliver on the outcomes that matter most.
$9T+ AUM Supported
The platform ecosystem now supports over $9 trillion in AUM.10× Faster Valuations
Valuation cycles run ten times faster than traditional methods.~50% Cost Reduction
Operating costs were cut by roughly half.AI-Ready Foundation
Full AI-readiness now exists on governed, canonical data models.$9T+ AUM Supported
The platform ecosystem now supports over $9 trillion in AUM.10× Faster Valuations
Valuation cycles run ten times faster than traditional methods.~50% Cost Reduction
Operating costs were cut by roughly half.AI-Ready Foundation
Full AI-readiness now exists on governed, canonical data models.$9T+ AUM Supported
The platform ecosystem now supports over $9 trillion in AUM.10× Faster Valuations
Valuation cycles run ten times faster than traditional methods.~50% Cost Reduction
Operating costs were cut by roughly half.AI-Ready Foundation
Full AI-readiness now exists on governed, canonical data models.Final Outcome
Many organisations believe AI fails because the models are insufficient. The reality is usually different. AI fails because definitions are inconsistent, lineage is incomplete, entities are fragmented, and governance is weak. Before intelligence could be scaled, the foundation had to be fixed.
Final Outcome
Many organisations believe AI fails because the models are insufficient. The reality is usually different. AI fails because definitions are inconsistent, lineage is incomplete, entities are fragmented, and governance is weak. Before intelligence could be scaled, the foundation had to be fixed.
Need to Scale Engineering Without Delays?
Muoro delivers fintech-ready engineers who plug into your product pipeline fast. Let’s connect.
Need to Scale Engineering Without Delays?
Muoro delivers fintech-ready engineers who plug into your product pipeline fast. Let’s connect.
No challenge is too complex for our team to solve
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