Two Sigma Ventures

Two Sigma Ventures backs early-stage companies built at the intersection of exploding information, increasing computing power, and exceptional founders. The firm is thesis-driven around data science, machine learning, and advanced engineering, and is especially active as a lead investor at Series A while using the broader Two Sigma platform to help companies accelerate technical and commercial learning.

Evaluation weights

How much weight this investor places on each dimension. Totals 100%.

Market-led · 32%

Metrics

15%

Revenue, growth, and unit economics

Market

32%

Size, timing, and competitive landscape

Team

23%

Founder experience and execution ability

Product

30%

Differentiation and technical quality

Prefers technically sophisticated companies where data and computation are central to value creation
More willing to absorb technical and market risk in frontier categories than in crowded software markets
Strong bias toward founders they can build conviction with over time
Looks for businesses that can compound advantage through data, infrastructure, or platform effects

Pitch difficulty

How hard it is to get a meeting and close funding from this investor.

Funded / yr

Deals closed in a typical year.

Led / yr

Rounds led in the last 12 months.

Pitches / yr

~1800

Decks reviewed in a typical year.

Acceptance rate

0.50%

Share of pitches that get funded.

Estimated — public data is not fully disclosed.

Why it's hard

Narrow thesis fit around information growth, computing power, and advanced engineering
Particularly high standards for execution and metrics in established or crowded categories
Partner-led, structured diligence informed by proprietary tools and multiple perspectives
Preference for founder relationships built over time before committing capital

Two Sigma Ventures is a high-conviction, thesis-driven firm with a strong Series A lead posture, structured diligence, and a clear preference for companies where data and computing are truly core. It is not universally inaccessible because it invests across multiple sectors and can tolerate early technical risk, but the bar for thesis fit, founder quality, and eventual company-building potential is meaningfully above average.

Green flags

What drives a yes for this investor.

A product where information advantage and computing power are fundamental, not cosmetic
Founders who pair deep technical credibility with strong market and business-model insight
Evidence the company can become a scalable business, not just an impressive technical project
Clear wedge into a large market, with differentiated execution in crowded categories
A relationship-based conviction built through high-signal progress and strong partner interactions

Red flags

What kills deals and gets a fast no.

A company marketed as AI-driven without true technical defensibility
Great science or engineering paired with weak business-model thinking
Mediocre traction in a crowded market with no exceptional execution signal
A founder who cannot connect the product to a large, durable market outcome
Lack of trust, weak follow-through, or poor quality of engagement during diligence

How to win

Patterns that lead to successful pitches.

Show that data/ML/computation is the engine of the business, not an add-on
Demonstrate both technical depth and a concrete path to scalable commercial outcomes
Come prepared with crisp evidence of learning velocity: product, customer, and hiring progress
Frame the market in terms of structural change driven by software, data, or compute
Build the relationship early and use interim updates to increase conviction

Fund strategy & identity

Who they are and how they operate.

Invest seed through Series B, with primary lead ownership at Series A
Back companies where data, ML, software, or advanced computation is core to the product advantage
Apply structured, data-informed sourcing and diligence tools to build conviction
Support winners through later rounds and growth via dedicated opportunity capital
Invest across U.S. and select international markets when thesis fit is strong

Firm identity

Data-and-computing thesis-driven investor Early-stage specialist with strongest emphasis at Series A Analytical, structured, scientifically minded diligence process Technical partner leveraging Two Sigma's data science and engineering network Long-term investor with follow-on capacity through opportunity funds

Investment focus

Industries, themes, and typical ARR expectations.

Industries

Enterprise SaaSDeveloper ToolsData InfrastructureFintechCybersecurityHealthcare / TechbioConsumer Technology

Investment themes

AI/ML-native enterprise software and vertical applicationsDeveloper tools, data infrastructure, and cloud/software infrastructureFintech platforms using data and automation to rewire financial servicesCybersecurity and observability driven by large-scale data analysisTechbio and computational life sciencesHard-tech or deep-tech where computation is a core enablerSelective crypto/Web3 infrastructure with data/computing primitives

Typical check by stage

Seed$2M-$8M

Series A$5M-$15M

Series B$10M-$25M+

Typical ARR by stage

Seed$0-$1M

Series A$1M-$5M

Series B$5M-$20M

Growth$20M+

Investment thesis

Core beliefs and strategy behind their investing approach.

Two Sigma Ventures’ core thesis is that the most important companies of the future will combine three forces: exponentially growing information, rapid advances in computing, and visionary founders. The firm explicitly backs “transformative companies harnessing information growth and computing power,” supporting teams that use data science, machine learning, and advanced engineering to build defensible products and platforms. TSV invests early—seed through Series B—and remains a long‑term partner, applying the broader Two Sigma network’s deep expertise in software engineering, data science, quantitative modeling, and machine learning to help portfolio companies accelerate product and go‑to‑market learning cycles. Sectorally, TSV is industry‑agnostic but thesis‑driven around data and computing intensity. It invests across enterprise SaaS and tooling, fintech, developer tools and infrastructure, cybersecurity, healthcare/tech‑enabled life sciences (techbio), and select consumer technologies. The firm also allocates a measured portion of capital to crypto/Web3 where data and computing‑driven primitives can unlock new capabilities. TSV’s investment practice spans both software and hard‑tech where advanced computation is a core enabler. Geographically, TSV looks across the U.S. and internationally, and has led landmark transactions outside the U.S. where fit with thesis and local dynamics are compelling (e.g., LatAm fintech). TSV’s belief system emphasizes that technology alone isn’t sufficient; durable value creation stems from marrying technical advantage with strong business‑model insight, market timing, and execution. The team applies a scientific approach to sourcing and diligence, including proprietary data‑driven tools and structured evaluation frameworks, while maintaining a relationship‑first posture with founders. With dedicated early‑stage and opportunity funds, TSV can initiate at seed/Series A and continue supporting winners through growth rounds.

Decision patterns

How they evaluate and make investment decisions.

Two Sigma Ventures invests when a company aligns with the “information + computing + people” thesis: data/AI or advanced engineering must be central to the business, founders must demonstrate strong market insight, and the team must be capable of building a scalable company, not just impressive technology. TSV uses a structured, data‑informed sourcing and diligence process—including an internal tool called “George”—to surface high‑signal opportunities, then deepens conviction through partner‑led diligence. When weighing factors, TSV notes that the winning company isn’t always the one with the best technology; business fundamentals, market structure, and execution matter. In established categories, TSV requires top‑tier execution and clear metrics; in frontier categories, it tolerates more technical or market risk for potential upside. Trust and long‑term relationship building with founders are central; TSV often engages months before a raise, tracking progress and moving quickly when the moment is right. TSV primarily leads Series A rounds, writing $5‑10M checks, and can move from introduction to decision in weeks when conviction is high. The firm brings additional partners into later meetings to triangulate perspectives, then conducts an intensive, short‑duration diligence sprint to reach a partnership decision. In later or growth rounds, TSV may co‑lead or follow selectively, leveraging its Opportunity Fund to support portfolio companies that have demonstrated product‑market fit and scaling potential.

Risk appetite

TSV is a conviction‑driven but measured lead investor at early stages—especially at Series A—where it typically writes $5‑10M lead checks and takes an active role. The firm is comfortable underwriting significant technical and commercialization risk where data and computing are core, including pre‑revenue techbio and deep‑tech opportunities, provided there’s a clear scientific/technical rationale and credible execution path. In well‑understood, crowded markets TSV demands exceptional execution and metrics; in novel, less‑competed spaces it accepts higher technical/market risk for asymmetric upside. While often leading early rounds, TSV may co‑lead or follow in later growth rounds alongside high‑quality syndicates, leveraging its Opportunity Fund to continue backing outliers.

Notable investments

Key portfolio companies and why they fit the thesis.

RemoteLead
Global employment platform that uses data and automation to simplify cross-border hiring, matching TSV's focus on data-driven enterprise solutions.
NeloLead
LatAm BNPL/consumer-finance firm leveraging data-driven underwriting, aligning with TSV's interest in fintech that applies AI/ML to underserved markets.
CerbyLead
Security solution for shadow-IT apps that automates risk management, fitting TSV's emphasis on enterprise software with strong data analytics.
CanduLead
No-code, data-informed in-app UX platform for B2B SaaS, exemplifying TSV's preference for tools that empower product teams with analytics.
TreetLead
Branded resale marketplace that provides analytics on resale behavior, aligning with TSV's data-centric approach to new commerce models.
Swarm AeroLead
AI-enabled UAV systems that combine advanced hardware with data and AI, matching TSV's interest in deep-tech and AI-driven infrastructure.
NetBox Labs
Open-source network automation platform; TSV participates to support data-infrastructure and OSS ecosystems, following on through Series B without leading.

Key people

Partners who lead investments and shape the thesis.

CB
Colin Beirne
Partner
Enterprise softwareData/AI‑driven software
DP
Dusan Perovic
Partner
TechbioLife sciencesHealthcare AI
DA
Dan Abelon
Partner
AI‑powered applicationsEnterprise softwareInfrastructure / Dev toolsCommerce enablement
FS
Frances Schwiep
Partner
FintechCommerce / Retail softwareLatAm fintech

Public voice

Notable statements and public positions.

"Ten years ago, we recognized an emerging differential that can accelerate innovation and unlock potential for companies to have a transformative impact: data + computing + human ingenuity." — Colin Beirne (2022 new funds announcement)
"Zymergen epitomizes the type of company that is emblematic of our meta thesis at Two Sigma Ventures — to partner with companies using data science and advanced engineering capabilities to transform or build an industry." — TSV blog (Why we’re doubling down on Zymergen)
"We invest in seed, Series A, and Series B stage companies. We primarily lead Series A investments, generally in the range of a $5-10 million check." — TSV FAQ