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).

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

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

Headquarters

HQ city

San Francisco

HQ country

United States

HQ region

North America

Offices1 record

Markets served

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

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

Named customers2 records

Segments1 record

Ideal customer profiles2 records

Technology focussed Yes

API detail

Has API

No

API docs

API detail

Core technology

AI maturity

App detail

AI capability3 records

Feature2 records

Scale indicators7 records

Recent moves5 records

Expansion highlights5 records

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

• LinkedInlinkedin.com/company/third-round-analytics-capital

Revenue estimate

Valuation estimate

Number of profiles

Profiles3 records

Funding overview

Funding rounds

Investors

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

M&A

Investments124 records

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

Frequently asked questions about TRAC