The Intelligent Operating System for Real Estate Credit

Agentic AI for European CRE credit teams. From broker email to screening deck in under an hour.

Built by alumni of

Deloitte
Ares Management
Carlyle
Goldman Sachs

The Challenge

Your team screens 200 deals a year. You close 10. Where does the other 95% of their time go?

Analyst time trapped in low-value work

Your analysts spend their time pulling data from broker reports, producing slides, updating models, summarising DD reports. A typical screener takes 4-8 analyst hours. A full underwriting pack takes 40-80 hours.

No consistency, no audit trail

Every analyst builds models differently. Assumptions are buried in spreadsheets. When an LP asks "where did this ERV come from?", the answer takes days to reconstruct - if it can be reconstructed at all.

Institutional knowledge walks out the door

When a senior analyst or an associate leaves, years of market intuition, deal history, and relationship context leave with them. The next hire starts from zero.

The Solution

Prysm is an agentic AI platform that assists CRE credit teams from first contact through to final repayment

Speed & Throughput

Screeners in hours, not days. Underwriting packs in days, not weeks. Respond to brokers faster. Increase deal capacity without adding headcount.

Accuracy & Auditability

Every number carries a source citation. Every assumption is governance-tracked. When your LP, regulator, or IC chair asks "where did this come from?" - one click.

Compounding Intelligence

Every deal you process - closed or passed - feeds back into the platform. Comparables, sponsor track records, and assumption benchmarks compound over time into a proprietary knowledge asset.

End-to-end coverage

Prysm
1
Market Research
2
Underwriting
3
Due Diligence
4
Execution
5
Asset Management

How It Works

You control the decisions. Prysm does the analytical heavy lifting.

Step 1

Inputs

  • Broker emails & teasers
  • Sponsor documents & data rooms
  • Market reports, specialist data feeds & public data
  • Your existing models & templates
Step 2

The Prysm Platform

  • Continuously updated market intelligence database
  • Specialised AI agents for discrete tasks
  • Human approval gates
  • Full audit trail with source attribution
Step 3

Outputs

  • Structured pipeline & market briefs
  • Screening presentations
  • Source-backed underwriting assumptions
  • IC-ready memos & draft term sheets
  • Real time asset management

Quantifiable Impact

Grounded metrics, measurable results

TaskTraditionalWith PrysmImpact
Deal screening8-16 analyst hours1-2 hours85% reduction
Full underwriting pack40-80 hours15-25 hours60% reduction
IC audit query response1-2 hours per questionMinutes90% reduction
LP DD data compilationDaysHours80%+ reduction

The Team

Built by practitioners, for practitioners

Philip Moore

Philip Moore

Co-Founder and CEO

20+ years CRE credit$12.5bn+ deals executedAres Management Partner

Philip has spent over 20 years in commercial real estate credit with leading global institutions, most recently as Partner and Head of European Real Estate Credit at Ares Management, where he sat on the Global Real Estate Investment Committee. Over that time, he has originated and executed over $12.5bn of CRE loans across Europe and the US.

At Prysm, he leads go-to-market, investor relations, and product requirements - bridging the gap between what credit teams need and what technology can deliver.

Tim Jones

Tim Jones

Co-Founder and CTO

20+ years tech & financeDeloitte PartnerApplied AI specialist

Tim has spent over 20 years at the intersection of technology and finance, including as a Partner at Deloitte, where he led complex quantitative modelling and analytics work across the infrastructure and real assets sectors. A lifelong technologist, he has spent the past three years working in applied AI — designing agentic systems, building AI-powered financial analysis tools, and developing automated workflows for structured decision-making.

At Prysm, he leads technical vision and product development. He combines the analytical background of a senior finance practitioner with hands-on fluency in modern AI engineering.

Ready to transform your credit platform?

Book a demo with our founders.