Private markets intelligence

Research that used to take days.
Done in seconds.

Prism aggregates cap table data, transfer restrictions, and indicative pricing so secondaries intermediaries stop rebuilding the same intel from scratch on every deal.

Stripe $70B ↑ Active secondary market
Databricks $62B ↑ Pre-IPO demand
Anduril $28B ↑ Defense premium
Figure AI $39B ↓ ROFR risk elevated
Waymo $45B ↑ Liquidity improving
Plaid $13B ↓ Transfer restrictions tight
Rippling $16B ↑ Clean cap table
Stripe $70B ↑ Active secondary market
Databricks $62B ↑ Pre-IPO demand
Anduril $28B ↑ Defense premium
Figure AI $39B ↓ ROFR risk elevated
Waymo $45B ↑ Liquidity improving
Plaid $13B ↓ Transfer restrictions tight
Rippling $16B ↑ Clean cap table

Every deal starts from zero.

The private markets information gap costs intermediaries hours per deal — and deals.

01
No standardized pricing
Indicative pricing for private company shares lives in email threads, WhatsApp groups, and broker memory. There is no Bloomberg terminal for secondaries.
02
Information asymmetry is severe
Sellers know their cap table. Buyers don't. Transfer restriction terms are buried in subscription agreements nobody has standardized.
03
Every deal rebuilds from scratch
Every intermediary rebuilds the same research on the same companies. Hours of duplicated effort before a single NDA is signed.

The information layer
private markets is missing.

AI-powered company profiler
Structured intelligence on any private company in seconds — last valuation, round history, cap table notes, known secondary activity, and liquidity score.
Live now
Transfer restriction parser
ROFR clauses, lockup provisions, company consent requirements — standardized across companies so you can compare apples to apples.
Live now
Comparative deal analysis
Evaluate two companies side by side. Liquidity scores, IPO timelines, ROFR risk, and investment verdicts — all in one view.
Live now
Indicative pricing layer
Aggregated pricing signals from news, filings, and market activity. The first step toward a standardized secondaries pricing mechanism.
Coming soon

Designed by someone who lived the problem.

"The research phase of any secondary deal is the most painful part. You're rebuilding the same cap table intel for the same companies over and over."
Secondary market brokerBoutique secondaries firm, NYC
"Transfer restriction terms are the deal killer nobody talks about. By the time you've dug them up, you've already lost two days."
Private equity associateMid-market PE fund
"There's no pricing reference. You call three brokers, get three different numbers, and you still don't know what the clearing price is."
Family office allocator$2B+ AUM

Start your first research profile.

No account needed. No credit card. Just type a company name.

Research

AI-powered private company intelligence for secondaries intermediaries

Stripe Databricks Anduril Figure AI Waymo Rippling

Enter two companies above to compare them side by side.

Built by a private markets
insider for the people in the room.

Benedict Portugal served as a Senior Private Markets Analyst at EquityZen, driving $50M in capital commitments across late-stage private company SPVs. Prior to EquityZen, he built out sales infrastructure at WisdomTree Investments, developing a ground-level understanding of the operations side of institutional asset management.

He is the author of Secondaries and Structure, a Substack publication covering secondary market transactions and late-stage private company analysis. Read by investors interested in secondaries and alternatives for private market liquidity.

Prism is Benedict's answer to the most persistent inefficiency he observed across every role. The absence of a standardized research layer for private markets secondaries. Every deal rebuilds the same intelligence from scratch. Prism is built to end that.

The through line across every role has been the same: information gaps destroy deal velocity. WisdomTree taught him how institutions distribute capital. EquityZen showed him where the research layer breaks down. Prism is where both observations converge. Outside of work, Benedict is someone who has spent too many hours thinking about why private markets still run on email threads and gut feel.

Founder origin story
The whitespace nobody has filled.

The secondaries market for private company shares has grown dramatically — but the research infrastructure hasn't kept pace. While public markets have Bloomberg terminals, earnings databases, and analyst coverage, private markets have email threads and relationship networks.

EquityZen was where the problem became undeniable. Supporting $250M+ in investor assets across late-stage SPVs, I watched the same pattern repeat on every deal — hours spent rebuilding intel on companies that dozens of other intermediaries had already researched independently. The information asymmetry wasn't a feature. It was a tax on every transaction, paid by everyone, benefiting no one.

Prism is the aggregation layer that ends that cycle. Cap table data, transfer restrictions, indicative pricing — structured, searchable, and ready the moment a deal lands on your desk.

The origin
EquityZen — Senior Private Markets Analyst
Supporting $250M+ in investor assets across late-stage private company SPVs. Every deal required rebuilding the same cap table intel, restriction terms, and pricing data from scratch. The inefficiency was structural.
The insight
The information layer is the gap
Prior experience at WisdomTree Investments rebuilding a 13,000-advisor CRM and at Amica Mutual managing a sales team of 8 made the pattern clear — information gaps destroy deal velocity. Private markets had the worst information gap in finance.
The build
Prism — AI-powered research aggregation
Building the Bloomberg terminal for private markets secondaries — starting with AI-synthesized company intelligence and expanding toward proprietary pricing data and network effects.
The endgame
Proprietary data flywheel
As more intermediaries use Prism to work their deals, contributed transaction data creates the first standardized pricing mechanism private markets has ever had.
2–3h
Saved per deal on basic company research
$0
Standardized pricing data currently available to secondaries buyers
Deals rebuilt from scratch every year across the market