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Know what it earns. Know what it's worth. Live monthly revenue and valuation data is now available for every private company we track.

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Revenue & Valuation

Live revenue and valuation for every private company, from garage to decacorn.

Re-rated every month
Anchored to verified disclosures
Confidence band on every estimate
Re-rated every month
Anchored to verified disclosures
Confidence band on every estimate

Anchored to disclosures

Every verified disclosure — a TechCrunch headline, a founder's LinkedIn post, a reported round — becomes an anchor the model must honor. The moment a company discloses, the estimate snaps to it.

Modeled between anchors

Between disclosures, each month's number is built from the signals Specter already tracks: team, headcount, traction, funding and momentum. No copied headlines, no stale figures.

Honest confidence bands

Every estimate ships with its 90% range and a confidence tier. The band widens honestly when signal is thin, then snaps tight the moment a company discloses.

Valuation stacked on revenue

Valuation is modeled on top of revenue, funding history, investor quality and stage — and re-anchors to every priced round, so the number tracks between raises instead of freezing.

Coverage

Every company. Garage to decacorn.

Not the famous few with a press cycle. Every private company — including the ones no one has been able to put a real number on.

Pre-launch & bootstrapped

Estimates from <$1M to $5M

Wide bands, honestly drawn

Grounded on the signals available

Growth & scale-up

Estimates from $10M to $250M

Tightening as disclosures land

Re-rated monthly on live signals

Late-stage & pre-IPO

Estimates from $250M to $1B+

Anchored to priced rounds

Valuation tracks between raises

Anchored

Anchored to disclosure. Honest about the gaps.

Every verified disclosure becomes an anchor that helps determine a company's revenue and valuation. Between anchors, Specter builds each month's number from the full depth of signals we already track — team, headcount, traction, funding, momentum and so much more. The confidence band widens honestly when that signal is thin, then snaps tight the moment a company discloses.

Modeled, Not Copied

Everyone copies a number. We model it.

Other providers copy a headline, or show you something stale. Specter anchors to every verified disclosure, models the gaps from its live signals, and attaches a confidence — so you know whether you're standing on rock or on a guess.

We continually evaluate tools on the market, and Specter repeatedly stands out with its highly differentiated UX and comprehensive data.

Andrea Gurnari
Andrea Gurnari

Andrea Gurnari

Partner at 2100 Ventures

Case Study →

Specter enhances the efficiency of our operations, and contributes to the in-house data systems we build to generate alpha. Covering both bases makes it a highly versatile and valued part of our tech stack.

Abhijay Thacker
Abhijay Thacker

Abhijay Thacker

VP at Picus Capital

Case Study →
Valuation

A live valuation between rounds.

Revenue is modeled first. Valuation stacks on top and re-anchors to every priced round — so the number tracks between raises instead of freezing at the last announcement. Both are re-rated every month as reported figures and market signals move.

The Model

One number, and the math behind it.

Quantile regression maps the full range a company's revenue should sit in — a well-informed estimate in the middle, with a realistic low and high around it. Stacking revenue alongside funding history, investor quality and stage then determines the valuation, and every driver behind the number is shown, not hidden.

Delivery

Revenue is a filter, not a footnote.

Learn more about Specter's API

In the app, over the API, or as a flat file in your warehouse — every estimate travels with its band, its confidence tier and the verified anchors behind it, however your stack consumes it.

In-app

Estimates on every company profile

Band, confidence and verified anchors shown

Revenue as a filter on any search

API

Median plus the P10/P90 band

Confidence tier on every estimate

The anchoring disclosures, live

Bulk data delivery

CSV or Parquet, daily incremental files

Every value, band and confidence score

Straight to AWS, Google Cloud or Snowflake

Put a number on every private company.

Join 400+ firms pricing private markets with Specter.

Now we spend far less time on infrastructure and spend more of our time building those relationships and investing behind the best founders in our ecosystems. I think Specter will become table stakes for any fund that wants to be in the top quartile.

Richard Dulude
Richard Dulude

Richard Dulude

Partner at Underscore VC

In a short period of time, Specter has become an integral part of how we ensure we have 100% coverage of the markets we operate in.

Gideon Hayden
Gideon Hayden

Gideon Hayden

Partner at Leaders Fund

We continually evaluate tools on the market, and Specter repeatedly stands out with its highly differentiated UX and comprehensive data.

Andrea Gurnari
Andrea Gurnari

Andrea Gurnari

Partner at 2100 Ventures

We are embedding Specter into all our workstreams, and it is showing significant promise as part of our strategy to find the next company we will back.

Ozge Sevim
Ozge Sevim

Ozge Sevim

Investor at 212 Ventures

Specter enhances the efficiency of our operations, and contributes to the in-house data systems we build to generate alpha. Covering both bases makes it a highly versatile and valued part of our tech stack.

Abhijay Thacker
Abhijay Thacker

Abhijay Thacker

VP at Picus Capital

Specter allows me to narrow or expand the scope of searches at will, without needing to build or maintain any of the data pipelines and infrastructure myself. Using it on a daily basis is super powerful.

Timothy Chen

Timothy Chen

Partner at Essence VC

We've already found one of our investments through Specter! That being said, its value extends beyond pure sourcing. Signals provide a level of intelligence that's valuable throughout the entire investment lifecycle.

Pietro Invernizzi
Pietro Invernizzi

Pietro Invernizzi

Founder of firedrop

Specter's performance-based signals draw us towards the right startups at the right time, so we're prepared as we can be to make the right decision.

Danny Chepenko
Danny Chepenko

Danny Chepenko

Corporate VC at inDrive

We've invested in a founder with roots at Stanford and Wharton. They were a rising star in their industry with a strong technical background. We found them as a Stealth signal through Specter.

Iynna Halilou
Iynna Halilou

Iynna Halilou

Partner at The MBA Fund

Tools like Specter surface early talent signals, company foundations, team moves, and nascent traction, beyond what internal scouts can manually track. We see companies we wouldn't see otherwise.

Ben Urwin
Ben Urwin

Ben Urwin

Data at Giant Ventures

Specter has been a useful addition to our sourcing stack - it's surfaced interesting companies we might have otherwise missed and helps keep our pipeline fresh.

Dominique Yadegar
Dominique Yadegar

Dominique Yadegar

VP at Bonfire Ventures

Specter is my go-to for founder outreach before anything else. My time on LinkedIn is substantially reduced; I open Specter, run our saved searches, look at Talent and Investor signals, and reach out

Aarushi Sharma
Aarushi Sharma

Aarushi Sharma

Investor at BEENEXT

Now we spend far less time on infrastructure and spend more of our time building those relationships and investing behind the best founders in our ecosystems. I think Specter will become table stakes for any fund that wants to be in the top quartile.

Richard Dulude
Richard Dulude

Richard Dulude

Partner at Underscore VC

In a short period of time, Specter has become an integral part of how we ensure we have 100% coverage of the markets we operate in.

Gideon Hayden
Gideon Hayden

Gideon Hayden

Partner at Leaders Fund

We continually evaluate tools on the market, and Specter repeatedly stands out with its highly differentiated UX and comprehensive data.

Andrea Gurnari
Andrea Gurnari

Andrea Gurnari

Partner at 2100 Ventures

We are embedding Specter into all our workstreams, and it is showing significant promise as part of our strategy to find the next company we will back.

Ozge Sevim
Ozge Sevim

Ozge Sevim

Investor at 212 Ventures

Specter enhances the efficiency of our operations, and contributes to the in-house data systems we build to generate alpha. Covering both bases makes it a highly versatile and valued part of our tech stack.

Abhijay Thacker
Abhijay Thacker

Abhijay Thacker

VP at Picus Capital

Specter allows me to narrow or expand the scope of searches at will, without needing to build or maintain any of the data pipelines and infrastructure myself. Using it on a daily basis is super powerful.

Timothy Chen

Timothy Chen

Partner at Essence VC

We've already found one of our investments through Specter! That being said, its value extends beyond pure sourcing. Signals provide a level of intelligence that's valuable throughout the entire investment lifecycle.

Pietro Invernizzi
Pietro Invernizzi

Pietro Invernizzi

Founder of firedrop

Specter's performance-based signals draw us towards the right startups at the right time, so we're prepared as we can be to make the right decision.

Danny Chepenko
Danny Chepenko

Danny Chepenko

Corporate VC at inDrive

We've invested in a founder with roots at Stanford and Wharton. They were a rising star in their industry with a strong technical background. We found them as a Stealth signal through Specter.

Iynna Halilou
Iynna Halilou

Iynna Halilou

Partner at The MBA Fund

Tools like Specter surface early talent signals, company foundations, team moves, and nascent traction, beyond what internal scouts can manually track. We see companies we wouldn't see otherwise.

Ben Urwin
Ben Urwin

Ben Urwin

Data at Giant Ventures

Specter has been a useful addition to our sourcing stack - it's surfaced interesting companies we might have otherwise missed and helps keep our pipeline fresh.

Dominique Yadegar
Dominique Yadegar

Dominique Yadegar

VP at Bonfire Ventures

Specter is my go-to for founder outreach before anything else. My time on LinkedIn is substantially reduced; I open Specter, run our saved searches, look at Talent and Investor signals, and reach out

Aarushi Sharma
Aarushi Sharma

Aarushi Sharma

Investor at BEENEXT

A live number on 55M+ private companies. And how much to trust it.