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10x Science

AI HealthcareVerified95% conf

AI-powered platform helping pharmaceutical researchers understand complex molecules for drug discovery

10xscience.com

📍 San Francisco, California

Verified Data

💰
Est. Revenue$100K-$500K ARR

Based on $4.8M seed funding, 3-person team, and early-stage status with private beta customers. Typical early-stage B2B SaaS companies post-seed generate $100K-$500K ARR.

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Funding$4.8M seed from Initialized Capital
🔗prnewswire.com
📊
Monthly Traffic< 5,000 visits/month

monthly_web_traffic_similarweb: < 5,000 (Estimate, platform is recently launched)

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UsersPrivate beta customers

user_customer_count: Private beta / Partner-based

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Team Size3 employees
🔗ycombinator.com
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GrowthExpanding engineering team and deepening biopharma collaborations

Expanding engineering team and deepening biopharma collaborations following $4.8M seed round (April 2026)

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StageSeed (April 2026)
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Founded2025

Company Profile

ModelB2B SaaS
VerticalBiopharma, Drug discovery
ClientsPharmaceutical and biotech partners
BuyersDrug discovery researchers, protein scientists, computational biologists at pharmaceutical and biotech companies
PricingCustom pricing, demo required

Contact

Strategic Analysis

Strategy

Building AI-native protein characterization platform to solve the drug discovery bottleneck by helping pharma companies understand complex molecules at the molecular level. Targeting the gap between AI-generated drug candidates and determining which ones actually matter for development.

Tactics

Operating in private beta with pharmaceutical and biotech partners to validate platform. Expanding engineering team post-seed funding to scale AI capabilities. Leveraging Y Combinator network and Initialized Capital backing for biopharma industry connections.

Competitive Positioning

Positioned as solving the bottleneck in AI-driven drug discovery where companies can generate potential drugs but struggle to characterize and validate them. Differentiates on molecular-level protein understanding versus broader drug discovery platforms.

Marketing Approach

Partner-based go-to-market strategy working directly with pharmaceutical and biotech companies. Leveraging industry relationships and Y Combinator network for customer acquisition rather than traditional marketing channels.

Notable

Y Combinator W26 batch, oversubscribed seed round led by Initialized Capital

🔗 Source ↗

Tech Stack

PythonPythonPyTorchPyTorchCloudflareCloudflareGoogle WorkspaceMicrosoft Office 365

Recent News

Related AI Healthcare Companies

Discovery Sources

Signals

web traffic< 5,000 visits/month

monthly_web_traffic_similarweb: < 5,000 (Estimate, platform is recently launched)

growth rateExpanding engineering team and deepening biopharma collaborations

Expanding engineering team and deepening biopharma collaborations following $4.8M seed round (April 2026)

team size3 employees🔗 source ↗
user countPrivate beta customers

user_customer_count: Private beta / Partner-based

funding raised$4.8M seed from Initialized Capital🔗 source ↗
trend indicatorStartups🔗 source ↗
trend indicatorHealth🔗 source ↗
trend indicatorBiotech🔗 source ↗
trend indicatorAI🔗 source ↗
funding raisedY Combinator🔗 source ↗

Evidence

techcrunch.com

10x Science has raised a $4.8 million seed round to help pharmaceutical researchers understand complex molecules.

prnewswire.com

$4.8M seed from Initialized Capital

ycombinator.com

3 employees