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TRAC

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uuid0000n85

Namestring
TRAC
Legal namestring
TRAC LLC
Websiteurl
tracvc.com
Company typeenum
Private
Founded yearint
2020
Descriptiontext

TRAC is a San Francisco-based quantitative venture capital firm founded in 2020 that operates an AI-first investment process. Its proprietary 'Moneyball for venture capital' platform uses machine learning and deep learning algorithms trained on patterns from 286 top-tier investor networks to identify early-stage startups with unicorn potential, reportedly filtering out over 98% of applicants and assigning a one-in-six probability of reaching unicorn status at seed stage. All investment decisions are made algorithmically with no humans on the investment committee, and the methodology has produced externally validated outcomes including Harvey and Kalshi, both of which reached $11B valuations from TRAC's 2023 list.

The firm manages Fund 1 (vintage 2020) and Fund 2 (vintage 2022), having deployed approximately $81M across 106-110 investments in Seed, Series A, and Series B rounds with a reported capital loss ratio under 8.5% (vs. an industry average above 40%) and top-decile DPI. TRAC's portfolio spans industry-agnostic early-stage companies, including neurotechnology (Neurable), deeptech/photonics (Enlightra), and other verticals, with deal flow sourced through a dedicated 'Get Funded' founder application portal and co-investment syndicates with firms such as Ultratech Capital Partners, Y Combinator, and Protocol Labs.

TRAC generates revenue through traditional VC fund management economics, charging management fees on committed capital and earning carried interest on exits. Its go-to-market combines direct founder applications, LP and press inquiry channels, and public validation through Managing Partner Fred Campbell's industry presentations and media coverage. The firm is privately held, organized as TRAC LLC, and operates with a lean 1-10 person team led by Fred Campbell (Managing Partner), Steve Marek (Co-founder & Lead Data Scientist), and Joseph Aaron (Founder).

Short descriptiontext

TRAC is a San Francisco-based AI-driven venture capital firm founded in 2020 that uses proprietary machine learning algorithms to make all early-stage investment decisions, having deployed approximately $81M across 106 portfolio companies with top-decile DPI.

Operating statusenum
Operating
Ownership categoryenum
Headcount rangeband
1–10
akta.pro rankint
HeadquartersSan Francisco, United States
HQ citystring
San Francisco
HQ countrystring
United States
HQ regionstring
North America
Markets served

Serves global market

Offices1 record

Each record includes

City, Country, Type, Description, Source

Keyword5 values
AI venture capital, early-stage investing, unicorn prediction, machine learning investing, seed stage funding
Industry1 code
1Accelerators & Incubators (Investor-Operated)
CodeFSANAAAMPrimaryYes
NAICS code1 code
  • All Other Financial Investment Activities52399
SIC code1 code
  • Investment Advice6282
Product category
Venture Capital
Social media profiles1 record
GTM motion1 record

Each record includes

Type, Description, Source

Revenue model1 record
1Venture Capital Fund Management
TypeManaged Services
Description

TRAC operates as a VC firm that invests capital into early-stage startups. The firm generates returns through portfolio company exits (IPOs, acquisitions). Fund 1 was launched in 2020 and Fund 2 in 2022. The firm has deployed $81 million across 106 investments since 2020 with only 8.5% capital loss.

trac.vc
Marketing channels3 records

Each record includes

Title, Type, Stage, Description, Source

Distribution channels1 record

Each record includes

Title, Type, Scope, Target buyer, Description, Source

Cost components3 values
Personnel, Technology or R&D, Operations
GTM typeB2B
B2B
Offering typeServices
Services
Core offering1 text field

TRAC is an AI-driven venture capital firm that deploys capital into early-stage startups selected entirely by proprietary machine learning and deep learning algorithms. The firm operates two funds (Fund 1 launched in 2020, Fund 2 in 2022), has invested $81 million across 106 companies, and earns returns through portfolio company exits. Investments are made by AI with zero human involvement on the investment committee.

Differentiator
Functional benefit
Problem solved
Quantifiable outcome1 of 3 values shown
  • One-in-six chance of unicorn status at seed stage (vs. one-in-nine for best human forecasters)
+2 more records
Product overview1 text field

TRAC is an AI-first venture capital firm operating as a single unified investment platform. The platform deploys proprietary machine learning and deep learning algorithms to analyze 286 top investor networks, filtering over 98% of startups to identify those with unicorn potential. The platform's methodology, called 'Moneyball for venture capital,' has been validated with successful predictions of Harvey and Kalshi reaching $11 billion valuations. All investments are made by AI with zero human involvement on the investment committee.

Product and service3 records
1TRAC AI Investment Platform
CategoryVenture Capital Fund Management
Description

An AI-driven venture capital platform that uses machine learning and deep learning algorithms to make all investment decisions, analyzing 286 top investor networks and funding patterns to identify early-stage startups with unicorn potential. Operates with zero human involvement on the investment committee, with the AI acting as the sole investment committee.

2TRAC Fund 1 (Seed/Series A/Series B)
CategoryVenture Capital Fund
Description

TRAC's first AI-only venture capital fund, deployed starting in 2020, which invests in seed, Series A, and Series B startups selected entirely by the firm's proprietary AI algorithms. Fund 1 achieved Top Decile DPI performance.

3TRAC Fund 2 (Seed/Series A/Series B)
CategoryVenture Capital Fund
Description

TRAC's second AI-only venture capital fund, deployed starting in 2022, investing in seed, Series A, and Series B startups selected by TRAC's proprietary AI algorithms. Fund 2 achieved Top Decile DPI performance, and across both funds TRAC has deployed $81 million across 106 investments with less than 8.5% capital loss.

Scale indicator7 records

Each record includes

Type, Value, Description, Source

Recent move5 records

Each record includes

Date, Type, Title, Description, Source

Expansion highlight5 records

Each record includes

Type, Description

Peers10 records
TypeDirect peer
Description

Quantitative early- and growth-stage VC firm that uses its proprietary 'Beacon' data platform to source and support portfolio companies. Direct peer: AI-native deal sourcing at the seed-to-Series B stage that TRAC also targets.

TypeEmerging player
Description

Pre-seed focused VC that uses data-driven sourcing to surface technical founders. Comparable check-size range and AI-augmented sourcing approach to TRAC's seed-stage bets.

TypeBroad incumbent
Description

Multi-stage VC arm of Bain Capital with growing emphasis on data/AI sourcing and diligence. Broad incumbent that overlaps with TRAC's thesis and target stages but operates at materially larger scale.

TypeBroad incumbent
Description

Large venture firm known for bold deeptech and science-led bets. Comparable willingness to back deeptech categories (BCI, photonics) that appear in TRAC's portfolio, but with far greater scale and AUM.

TypeDirect peer
Description

European-led VC with Motherbrain, an in-house ML deal-sourcing engine that scores and surfaces startups. Direct peer: AI-driven sourcing engine applied to early-stage venture investing.

TypeEmerging player
Description

Early-stage deeptech VC investing in science- and engineering-led companies. Overlaps with TRAC's deeptech exposure (e.g., Neurable, Enlightra) at similar check sizes.

TypeDirect peer
Description

Early-stage VC backed by Bloomberg that leans on data advantage to identify opportunities. Direct peer: data-first, thesis-driven seed/Series A investor with a comparable analytical orientation.

TypeDirect peer
Description

Data-driven venture firm that pioneered a 'one-in, one-out' model using statistical decision-making. Direct peer: quantitative methodology applied to early-stage investing with similar philosophy to TRAC's AI-led approach.

TypeEmerging player
Description

Early-stage VC focused on AI-first companies and intelligent enterprise infrastructure. Comparable thematic overlap with TRAC's interest in AI/data infrastructure investments.

TypeEmerging player
Description

Pre-seed firm combining community-driven sourcing with data signals to back technical founders. Comparable stage, check size, and data-augmented methodology.

Market position
Strengths4 records

Each record includes

Headline, Details, Source

Weaknesses4 records

Each record includes

Headline, Details, Source

Competitive moat4 records

Each record includes

Type, Details

Key risks5 records

Each record includes

Headline, Details, Source

Key highlights5 records

Each record includes

Headline, Details, Source

Customer concentration

Classification, Details

Named customers2 records

Each record includes

Name, Industry, Type, Use case, Source, UUID

Segment1 record

Each record includes

Title, Type, Primary, Description, Pain point addressed, Use case, Source

Ideal customer profile2 records

Each record includes

Profile, Firmographic size, Sales motion, Sales cycle length, Buying structure, Purchase trigger, Buyer persona, Geography, Industry vertical, Primary use case, Description, Pain points, Evidence proof points, Target buyer

Technology focused
Yes
API detail
Has APIbool
No

Docs URL, Description

AI capability3 records

Each record includes

Type, Description, Source

AI maturity
App detail

Has app

Feature2 records

Each record includes

Title, Differentiator, Description, Source

Core technology
Revenue estimate
Valuation estimate
Number of profiles
Profiles3 records

Each record includes

Name, Designation, Designation category, Overview, Profile commentary, Source

No data
No data
Funding overview

Funding stage, Last funding date, Total funding USD

Funding rounds

Each record includes

Round, Amount USD, Date, Pre money valuation, Total investors, Investors, News

Investors

Each record includes

Name, Type, Date of entry, Rounds participated, Website

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Each record includes

Name, Acquisition type, Announced date, Completed date, Status, Website, News

Investment124 records

Each record includes

Name, Round, Announced date, Lead investor, Website, News

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

TRAC

Venture Capitaltracvc.com

TRAC is a San Francisco-based AI-driven venture capital firm founded in 2020 that uses proprietary machine learning algorithms to make all early-stage investment decisions, having deployed approximately $81M across 106 portfolio companies with top-decile DPI.

What TRAC does

TRAC is a San Francisco-based quantitative venture capital firm founded in 2020 that operates an AI-first investment process. Its proprietary 'Moneyball for venture capital' platform uses machine learning and deep learning algorithms trained on patterns from 286 top-tier investor networks to identify early-stage startups with unicorn potential, reportedly filtering out over 98% of applicants and assigning a one-in-six probability of reaching unicorn status at seed stage. All investment decisions are made algorithmically with no humans on the investment committee, and the methodology has produced externally validated outcomes including Harvey and Kalshi, both of which reached $11B valuations from TRAC's 2023 list.

The firm manages Fund 1 (vintage 2020) and Fund 2 (vintage 2022), having deployed approximately $81M across 106-110 investments in Seed, Series A, and Series B rounds with a reported capital loss ratio under 8.5% (vs. an industry average above 40%) and top-decile DPI. TRAC's portfolio spans industry-agnostic early-stage companies, including neurotechnology (Neurable), deeptech/photonics (Enlightra), and other verticals, with deal flow sourced through a dedicated 'Get Funded' founder application portal and co-investment syndicates with firms such as Ultratech Capital Partners, Y Combinator, and Protocol Labs.

TRAC generates revenue through traditional VC fund management economics, charging management fees on committed capital and earning carried interest on exits. Its go-to-market combines direct founder applications, LP and press inquiry channels, and public validation through Managing Partner Fred Campbell's industry presentations and media coverage. The firm is privately held, organized as TRAC LLC, and operates with a lean 1-10 person team led by Fred Campbell (Managing Partner), Steve Marek (Co-founder & Lead Data Scientist), and Joseph Aaron (Founder).

TRAC firmographics

Firmographics
Name
TRAC
Legal name
TRAC LLC
Website
https://tracvc.com
Company type
Private
Founded year
2020
Operating status
Operating
Headcount range
1–10 employees
Short description
TRAC is a San Francisco-based AI-driven venture capital firm founded in 2020 that uses proprietary machine learning algorithms to make all early-stage investment decisions, having deployed approximately $81M across 106 portfolio companies with top-decile DPI.
Ownership category
akta.pro rank

TRAC industry classification

Industry
Product category
Venture Capital
NAICS
All Other Financial Investment Activities (52399)
SIC
Investment Advice (6282)
akta.pro primary industry
Accelerators & Incubators (Investor-Operated) (FSANAAAM)

Keywords

  • AI venture capital
  • Early-stage investing
  • Unicorn prediction
  • Machine learning investing
  • Seed stage funding

Where TRAC is headquartered

Location

Headquarters

HQ city
San Francisco
HQ country
United States
HQ region
North America

Offices1 record

Markets served

TRAC business model

Business model
GTM type
B2B
Offering type
Services
Cost components
Personnel, Technology or R&D, Operations

Revenue model

  1. Venture Capital Fund Management: TRAC operates as a VC firm that invests capital into early-stage startups. The firm generates returns through portfolio company exits (IPOs, acquisitions). Fund 1 was launched in 2020 and Fund 2 in 2022. The firm has deployed $81 million across 106 investments since 2020 with only 8.5% capital loss.

Go-to-market motion1 record

Distribution channels1 record

Marketing channels3 records

TRAC product offering

Product offering

Core offering

TRAC is an AI-driven venture capital firm that deploys capital into early-stage startups selected entirely by proprietary machine learning and deep learning algorithms. The firm operates two funds (Fund 1 launched in 2020, Fund 2 in 2022), has invested $81 million across 106 companies, and earns returns through portfolio company exits. Investments are made by AI with zero human involvement on the investment committee.

Product overview

TRAC is an AI-first venture capital firm operating as a single unified investment platform. The platform deploys proprietary machine learning and deep learning algorithms to analyze 286 top investor networks, filtering over 98% of startups to identify those with unicorn potential. The platform's methodology, called 'Moneyball for venture capital,' has been validated with successful predictions of Harvey and Kalshi reaching $11 billion valuations. All investments are made by AI with zero human involvement on the investment committee.

Differentiator

Problem solved

Functional benefit

Products and services

  • TRAC AI Investment Platform An AI-driven venture capital platform that uses machine learning and deep learning algorithms to make all investment decisions, analyzing 286 top investor networks and funding patterns to identify early-stage startups with unicorn potential. Operates with zero human involvement on the investment committee, with the AI acting as the sole investment committee.
  • TRAC Fund 1 (Seed/Series A/Series B) TRAC's first AI-only venture capital fund, deployed starting in 2020, which invests in seed, Series A, and Series B startups selected entirely by the firm's proprietary AI algorithms. Fund 1 achieved Top Decile DPI performance.
  • TRAC Fund 2 (Seed/Series A/Series B) TRAC's second AI-only venture capital fund, deployed starting in 2022, investing in seed, Series A, and Series B startups selected by TRAC's proprietary AI algorithms. Fund 2 achieved Top Decile DPI performance, and across both funds TRAC has deployed $81 million across 106 investments with less than 8.5% capital loss.

Quantifiable outcome

  • One-in-six chance of unicorn status at seed stage (vs. one-in-nine for best human forecasters)
  • +2 more outcomes

Companies that use TRAC

Customer profile

Named customers2 records

Segments1 record

Ideal customer profiles2 records

TRAC technology and API

Technology

Technology focussed Yes

API detail

Has API
No
API docs
API detail

Core technology

AI maturity

App detail

AI capability3 records

Feature2 records

TRAC partnerships and signals

Strategic signal

Scale indicators7 records

Recent moves5 records

Expansion highlights5 records

TRAC competitors and assessment

Company assessment

Direct peers

  • SignalFire: Quantitative early- and growth-stage VC firm that uses its proprietary 'Beacon' data platform to source and support portfolio companies. Direct peer: AI-native deal sourcing at the seed-to-Series B stage that TRAC also targets.
  • EQT Ventures (Motherbrain): European-led VC with Motherbrain, an in-house ML deal-sourcing engine that scores and surfaces startups. Direct peer: AI-driven sourcing engine applied to early-stage venture investing.
  • Bloomberg Beta: Early-stage VC backed by Bloomberg that leans on data advantage to identify opportunities. Direct peer: data-first, thesis-driven seed/Series A investor with a comparable analytical orientation.
  • Correlation Ventures: Data-driven venture firm that pioneered a 'one-in, one-out' model using statistical decision-making. Direct peer: quantitative methodology applied to early-stage investing with similar philosophy to TRAC's AI-led approach.

Emerging players

  • Afore Capital: Pre-seed focused VC that uses data-driven sourcing to surface technical founders. Comparable check-size range and AI-augmented sourcing approach to TRAC's seed-stage bets.
  • Creative Ventures: Early-stage deeptech VC investing in science- and engineering-led companies. Overlaps with TRAC's deeptech exposure (e.g., Neurable, Enlightra) at similar check sizes.
  • Zetta Venture Partners: Early-stage VC focused on AI-first companies and intelligent enterprise infrastructure. Comparable thematic overlap with TRAC's interest in AI/data infrastructure investments.
  • Haystack.vc: Pre-seed firm combining community-driven sourcing with data signals to back technical founders. Comparable stage, check size, and data-augmented methodology.

Broad incumbents

  • Bain Capital Ventures: Multi-stage VC arm of Bain Capital with growing emphasis on data/AI sourcing and diligence. Broad incumbent that overlaps with TRAC's thesis and target stages but operates at materially larger scale.
  • Khosla Ventures: Large venture firm known for bold deeptech and science-led bets. Comparable willingness to back deeptech categories (BCI, photonics) that appear in TRAC's portfolio, but with far greater scale and AUM.

Market position

Strengths4 records

Weaknesses4 records

Competitive moat4 records

Key risks5 records

Key highlights5 records

Customer concentration

TRAC social profiles

Digital presence

TRAC financial estimates

Financial estimate

Revenue estimate

Valuation estimate

TRAC leadership team

Management profile

Number of profiles

Profiles3 records

TRAC funding detail

Funding detail

Funding overview

Funding rounds

Investors

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

TRAC M&A and investment

M&A and investment

M&A

Investments124 records

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about TRAC

What does TRAC do?

TRAC is an AI-driven venture capital firm that deploys capital into early-stage startups selected entirely by proprietary machine learning and deep learning algorithms. The firm operates two funds (Fund 1 launched in 2020, Fund 2 in 2022), has invested $81 million across 106 companies, and earns returns through portfolio company exits. Investments are made by AI with zero human involvement on the investment committee.

Is TRAC a public or private company?

TRAC is a private company. It is classified as founder individual operated bootstrapped and is currently operating.

When was TRAC founded?

TRAC was founded in 2020. It employs 1 to 10 people.

Where is TRAC based?

TRAC is headquartered in San Francisco, United States, in the North America region.

How does TRAC make money?

One revenue line is on record: venture Capital Fund Management.

Who are TRAC's main competitors?

Direct peers on record are SignalFire, EQT Ventures (Motherbrain), Bloomberg Beta and Correlation Ventures. Emerging players are Afore Capital, Creative Ventures, Zetta Venture Partners and Haystack.vc. Broad incumbents are Bain Capital Ventures and Khosla Ventures.

Does TRAC have an API?

No public API is recorded for TRAC.

What industry is TRAC in?

TRAC's product category is Venture Capital. Its primary akta.pro industry code is FSANAAAM, Accelerators & Incubators (Investor-Operated). Its NAICS code is 52399 and its SIC code is 6282.

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Live signals
Business InsiderThe 30 early-stage startups in 2026 most likely to become tech's next unicornsSan Francisco-based venture capital firm TRAC has used its proprietary AI model to identify 30 early-stage startups it predicts will become unicorns by 2026, releasing the list exclusively to Business Insider. The firm's methodology, which it calls "Moneyball for venture capital," prioritizes 286 top investors rather than founder characteristics, filtering out over 98% of startups, and has validated its approach with Harvey and Kalshi both reaching $11 billion valuations from their 2023 list. TRAC reports that investor demand for top startups now exceeds round sizes by 10X, making deal access more competitive than in decades.VestberryFrom Pattern Recognition to Portfolio Results: How AI Is Reshaping VCAt Venture Intelligence Day in New York, Fred Campbell, Managing Partner at TRAC, presented results from the firm's AI-only investment fund, which has deployed $81 million across 106 investments since 2020 with only 8.5% capital loss, placing it among the top 2-3% of venture capital funds on that measure. TRAC's algorithms reportedly give companies a one-in-six chance of achieving unicorn status at seed stage, compared with roughly one-in-nine odds for the best human forecasters. The article argues that while AI excels at pattern recognition across large datasets, human judgment remains essential for evaluating founder qualities and imagining entirely new markets, suggesting the optimal model combines machine intelligence with human conviction and relationships.Business InsiderA Davos download on everything we heard and saw during a busy week in the AlpsBusiness Insider's editor-in-chief provides a roundup of the newsroom's coverage during the World Economic Forum in Davos, Switzerland, where staff met with hundreds of attendees to discuss topics including AI, Trump, DOGE, social media, trade, and electric vehicles, producing approximately 25 stories across various themes. The newsletter also links to other top stories from the week, including TikTok's brief shutdown before President Trump's intervention, the formal establishment of DOGE within the White House, corporate responses to DEI rollbacks, and a profile of AI-driven VC firm TRAC predicting tech unicorns. The piece concludes with a federal employee's quote on the challenges of implementing Trump's return-to-office mandate for government workers.Business InsiderThese are 30 of the most successful early-stage startup investors in the world, according to a proprietary AI model known as 'Moneyball for VC'TRAC, a San Francisco venture firm, identified 30 early-stage investors as SuperForecasters using an AI model. These investors profit on two-thirds of positions and one in five returns over 10X. The list was generated from 287 SuperForecasters across 15 metrics.Business InsiderThe 30 early-stage startups most likely to become tech's next unicorns, according to a proprietary AI model known as 'Moneyball for VC'TRAC, a San Francisco venture firm, revealed 30 early-stage startups it predicts will become unicorns, using an AI model that eliminates 99% of companies. The model relies on investor data, including 300 'SuperForecasters' like Sam Altman, and has made 53 successful investments.LinkedIn#startupfunding #venturecapital #fintech #realestateAlphaFlow has secured capital and business intelligence support from TRAC to expand its operations within the hard-money lending industry. The company aims to establish itself as the primary operating system for this sector, which is valued at $75 billion. This funding supports AlphaFlow's workflow solutions, loan servicing platform, and placement software.LinkedIn#startupfunding #venturecapital #complianceTRAC is providing capital and business intelligence to StandardCode to support its growth. StandardCode offers an authentication API designed to help tech companies comply with child data-privacy laws.LinkedIn#investmentfunds #investmentcapital #vcfunding #unicorns #startupsuccessTRAC, an early-stage venture capital firm, has invested in Lofty.ai, a company specializing in predictive data for residential real estate. The article highlights that Lofty's recommended properties generated returns over 10 times higher than the market average within one year. TRAC provides both capital and predictive data to its portfolio companies.