Eventual · Jul 2026
Introduces a new Daft-based library for turning robot video into training-ready data, with hand tracking and reward scoring UDFs.
Building the AI data engine for any modality and scale
Public company, workplace, funding, and market signals
Updated Jul 30, 2026
Eventual is a San Francisco-based AI infrastructure company building Daft, an open-source multimodal data engine for AI and physical AI workloads, plus emerging products like MultiBase and Eventual Cloud.
Primary product
Daft
Founded
2022
Headquarters
San Francisco, California, United States
Team size
11-50
Work style
Hybrid
Industry
Software Development
Sub-industry
AI / multimodal data infrastructure
Offices
Business model
Leadership
CEO, Cofounder
Co-Founder
Head of Engineering
Investor (Lead Series A) & Board Member
Tight-knit, high-ownership team with an in-office cadence and values centered on pride in work, clarity, curiosity, and owning outcomes.
Work style
Hybrid
Compensation
Public job posts emphasize competitive compensation and startup equity; no public salary bands were found.
Benefits
Differentiators
Technology
Customers
Competitors
Estimated revenue
$10M-$25M
Estimated monthly visits
26.2K
Traffic estimate as of Jun 2026
Eventual · Jul 2026
Introduces a new Daft-based library for turning robot video into training-ready data, with hand tracking and reward scoring UDFs.
Eventual · Jan 2026
Summarizes Daft's 2025 roadmap, open-source traction, release cadence, and robotics/AI feature expansion.
SiliconANGLE · Jun 2025
Covers the funding launch, the enterprise Eventual Cloud waitlist, and Daft's use in production workloads for multimodal data.
Eventual · Jun 2025
Official announcement of Eventual's $30M total funding, including a $20M Series A led by Felicis and support from CRV, Y Combinator, Essence VC, Array Ventures, M12 Ventures, and Citi.
TechCrunch · Jun 2025
Profiles the company origin and notes the $7.5M seed round led by CRV and the $20M Series A led by Felicis with participation from M12 and Citi.