Eventual
eventual.ai
Actively hiring
Multimodal AI
Computer Vision
As featured in
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Overview
News
Technologies
Salaries
Products
People
Growth
Offices
Jobs
Financials
Funding and backers
Total raised
$7.5M
1 round on record
Latest round
$7.5M
Seed · Jul 2025 · 14 mo ago
Team
11-50
employees, estimated range
Hiring now
4
+1 posted in 30 days
Backers
2
CRV, Felicis
The money's age
Due for its next round
14 months since the last round · and hiring
Momentum
25/100
hiring for its size, in the news
Last sign of life
this month
a posting or a news item
The story so fareach stage dated by its source: the company's releases, the press, registers, filings
Jul 28
Launched EVENTUAL LAUNCHES PREDICTION MARKET MEDIA VENTURE WITH POLYMARKET DATA PARTNERSHIP & RAISES SEED · morningstar.com
Jul 22, 2025
Raised a round Seed $7.5M · YahooFinance
2023
Founded
Tractionpublic signals, read monthly
Web presence
top 7%
of 133.2M domains by links, Common Crawl
Hacker News stories
7
best: 24 points
Funding rounds
| Round | Date | Amount | Investors | Source |
|---|---|---|---|---|
| Seed | Jul 2025 | $7.5M | — | YahooFinance |
Registers and programsofficial lists and records that name the company
| Legal entity | Eventual Holding Inc. | SEC Form D |
Founders and leadersfrom filings, registers and the company's site
Dylan DiMarchiExecutive Officer, DirectorSEC Form D
Youssef DossExecutive OfficerSEC Form D
Backed byfrom the funds' portfolios and accelerator catalogs
CRV 
Felicis Investors in similar startupsfunds that back the companies most like this one
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Overview
Eventual builds data infrastructure for physical AI, helping teams manage fleet-scale visual robotics data, mine long-tail scenarios, curate datasets and load them into training. It targets the video, lidar, radar and sensor data that train humanoid robots and autonomous vehicles, and hires multimodal research and data systems engineers and a chief of staff. The company is headquartered in New York, United States.
News
Retries don't fix eventual consistency - var0.xyz
Retries are great for transient failures, but they can
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Report
What if more data alone won't solve robotics? Ken Goldberg on why good old-fashioned engineering still matters
Ken Goldberg argues that robotics needs more than data - modularity, algorithms, and metrics still matter. A breakdown of his MIT talk on the 100,000 year data gap.
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Report
EVENTUAL LAUNCHES PREDICTION MARKET MEDIA VENTURE WITH POLYMARKET DATA PARTNERSHIP & RAISES SEED
Read more
Report
Around the Net In Media: Eventual, Polymarket Team Up To Provide News Platform For Prediction Market Traders
Eventual, Polymarket Team Up To Provide News Platform For Prediction Market Traders - 07/29/2026
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Report
Turning robot video into training-ready data with daft-physical-ai
A Python library built on Daft for turning robot video into training-ready data, starting with hand tracking and reward scoring as UDFs, with more to come.
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Report
How we made our LeRobot video reader up to 15 faster
LeRobot has emerged as the dominant open format for robot learning data, but decoding frames is expensive. Here's how we made Daft's native LeRobot reader up to 15 faster.
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Report
Finding a Needle in the Haystack: Querying Physical AI Data with Daft
Pose + semantic search over Apple's EgoDex hand-manipulation dataset with Daft: SigLIP embeddings meet hand-pose geometry. Ctrl+F for physical AI data.
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Report
AWS Incident Response: IAM Containment That Survives Eventual Consistency
Standard AWS IR containment fails against attackers exploiting IAM eventual consistency. This article presents an SCP-enforced technique that makes identity-level containment attacker-resistant.
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Report
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Tech stack
Technologies named in job postings at Eventual over the last 12 months, by layer, with the share of postings for each.
Technologies in use
37
Postings analysed
6
Stack modernity
71/100
Languages
C++
Rust
Go
Python
Frameworks & libraries
CUDA
Hadoop
Ray
React.js
Databases
Apache Iceberg
Pinecone
Snowflake
Delta Lake
Cloud & platforms
AWS
Databricks
Perplexity
Amazon S3
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Full Eventual tech stack
37 technologies · by team · pay by technology · changes · similar stacks
Salary insights
Compensation ranges based on this company's open jobs
Median
$200k
Typical range
$200k – $300k
Open positions
4
2
Jobs
Junior
50%
Middle
50%
| Level | Jobs | Median | Typical range |
|---|---|---|---|
| Junior | 1 | $200k | $200k |
| Middle | 1 | $200k | $200k |
Highest paying role
Research Engineer, Multimodal Data
$300k
Normalized to USD per year
People
Dylan DiMarchi
Executive Officer, Director
Youssef Doss
Executive Officer
Luc Ryan-Schreiber
Director
Aditi Maliwal
Director
Names and roles come from public filings, company registers and the company's own site. Is this you? Correct or remove · How we handle this data
Growth
Hiring Momentum
82/100
Scaling fast
Open positions
4
2 opened / 0 closed in 30 days
Median time-to-fill
23 days
faster than 49% of the market
ATS activity
Every ~4 hours
Today
Hiring Dynamics
+100%
Hiring Focus
The percentage next to each role is its share of the company's job openings over the last 90 days; the arrow shows the shift versus the previous period.
Backend
80% ▼
Operations
20% ▲
Activity Timeline
Added Quantization to stack
Sep 2026
Added PyTorch to stack
Sep 2026
Added Machine Learning to stack
Sep 2026
Added Linux to stack
Sep 2026
Added Agile to stack
Sep 2026
Added Model Distillation to stack
Sep 2026
Added Physical AI to stack
Sep 2026
Added Vector to stack
Sep 2026
Added CUDA Toolkit to stack
Sep 2026
Added CUDA to stack
Sep 2026
Added JavaScript to stack
Sep 2026
Added WebRTC to stack
Sep 2026
Offices
Where the company hires and what each office is for
Cities
2
Hiring now
1
Countries
1
Busiest office
San Francisco
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Headquarters
Builds here
Office with open vacancies
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New York
United States
HQ
San Francisco
United States
Engineering / R&D
4 open roles 5 posted in 90 days 75% engineering 10-50 est. staff $225k Avg Salary
hires for Backend, AI/ML, Operations
Jobs
$150k – $200k per year • In office • Full-Time • San Francisco
Python
Go
JavaScript
Rust
TypeScript
C++
Databricks
AI/ML
Multimodal AI
Computer Vision
AI Agents
Perplexity
World Models
Physical AI
Frontend
React.js
DevOps
WebRTC
AWS
Amazon S3
Management
Agile
Apply
$150k – $200k per year • In office • Full-Time • 3+ years exp • San Francisco
Rust
C++
Databricks
Apache Iceberg
AI/ML
CUDA Toolkit
Embeddings
Multimodal AI
Computer Vision
Perplexity
CUDA
World Models
Physical AI
DevOps
AWS
Amazon S3
Management
Agile
Apply
$150k – $300k per year • In office • Full-Time • San Francisco
Databricks
AI/ML
Embeddings
Multimodal AI
Knowledge Distillation
Computer Vision
Perplexity
World Models
Physical AI
Model Distillation
DevOps
AWS
Apply
Financials
Total raised
$7.5M
Latest round
Seed
Funding rounds
1
Funding rounds
| Round | Announced | Amount | |
|---|---|---|---|
| Seed | 2025 | $7.5M | Details |