Arcee AI
arcee.ai
Actively hiring
Machine Learning
Foundation Models
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Offices
Jobs
Financials
Funding and backers
Total raised
$24M
2 rounds on record
Latest round
Series B
Sep 2026 · this month
Team
20
US Form 5500 (plan participants) · Dec 2025 · -9% in a year
Hiring now
2
open roles
Backers
4
Samsung Next, Hitachi Ventures
The money's age
Fresh money
0 months since the last round · hiring slowed
Momentum
35/100
in the news, fresh money
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
Sep 16
Raised a round Series B · TNW Artificial-intelligence
Jan 28
On the Hacker News front page Trinity large: An open 400B sparse MoE model · 231 points
Nov 25, 2024
Partnership Arcee AI Signs Strategic Collaboration Agreement with AWS to Accelerate the Deployment of Smaller, Specialized Language Models · businesswire.com
Sep 10, 2024
Launched Arcee AI launches 70B LLM SuperNova · Venturebeat
Jul 16, 2024
Raised a round Venture round $24M · led by Emergence · Venturebeat
2023
Founded
Tractionpublic signals, read monthly
Web presence
top 0.3%
of 133.2M domains by links, Common Crawl
Hacker News stories
17
best: 231 points
Funding rounds
| Round | Date | Amount | Investors | Source |
|---|---|---|---|---|
| Series B | Sep 2026 | — | — | TNW Artificial-intelligence |
| Venture round | Jul 2024 | $24M | Emergence lead | Venturebeat |
Backed byfrom the funds' portfolios and accelerator catalogs
Samsung Next 
Hitachi Ventures 
Long Journey Ventures 
M12 Investors in similar startupsfunds that back the companies most like this one
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Overview
Arcee AI builds small and mid sized language models that enterprises can train, fine tune and run on their own infrastructure instead of calling a frontier provider. Its research on model merging and distillation produced the widely used MergeKit toolkit and a family of open weight models tuned for specific domains. The company argues that compact models with good domain adaptation beat general frontier systems on cost, latency and data control in regulated industries; its models are distributed openly on public model hubs and through cloud marketplaces.
News
Report
Open-weight model developer Arcee AI reaches $1B+ valuation with new funding
Open-weight model developer Arcee AI reaches $1B+ valuation with new funding - SiliconANGLE
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Report
Arcee AI raises Series B at a $1bn+ valuation
Arcee AI built a 400-billion-parameter open model for about $20m. Now investors value the US lab at more than $1bn.
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Report
Arcee AI Reaches $1B+ Valuation with Series B Funding to Advance Frontier Open-Weight AI
SAN FRANCISCO, Sept. 16, 2026 (GLOBE NEWSWIRE) -- Arcee AI, a U.S. artificial intelligence company building frontier open-weight foundation mode...
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Report
Arcee AI trained four models for $20 million. Now, it's worth $1 billion.
Arcee AI isn't chasing OpenAI, it's chasing China.
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Arcee AI selects Fuzzball for portable workload orchestration at frontier scale
RENO, Nev., Sept. 15, 2026 (GLOBE NEWSWIRE) -- CIQ, the enterprise software company behind Rocky Linux, today announced that Arcee AI, the U.S. ...
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Bolt launches Forge, an open-model lab built with Arcee AI
Bolt.new launches Forge, giving Pro users 50x more usage while training a trillion-parameter open-weight model with Arcee AI starting October
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Teaching an Open Model to Do Science
Post-training an open model for tool use, biological reasoning, and auditable research workflows
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Arcee AI Announce Genesis-Science-1, an Open-Weight Model for Scientific Research
Arcee AI is one of the first industry partners supporting the new Genesis MissionA DOE-hosted contribution portal is now open, with first-round ap...
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Arcee AI Announce Genesis-Science-1, an Open-Weight Model for Scientific Research
Arcee AI is one of the first industry partners supporting the new Genesis Mission
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Tech stack
Technologies named in job postings at Arcee AI over the last 12 months, by layer, with the share of postings for each.
Technologies in use
6
Postings analysed
2
Stack modernity
74/100
Cloud & platforms
Kubernetes
AWS
Azure
GCP
Linux
Practices & domains
Edge AI
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Growth
Hiring Momentum
58/100
Growing
Open positions
2
0 opened / 0 closed in 30 days
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.
DevOps
50% ▼
Marketing
50% ▼
Activity Timeline
Added Linux to stack
Sep 2026
Added Edge AI to stack
Aug 2026
Added GCP to stack
Aug 2026
Added Azure to stack
Aug 2026
Added AWS to stack
Aug 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
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Miami
United States
HQ
San Francisco
United States
Engineering / R&D
San Francisco, CA
1 open roles 100% engineering 50-200 est. staff
hires for DevOps
Jobs
≈ $124k – $277k per year (Estimated) • In office • San Francisco
Edge AI
DevOps
GCP
Azure
AWS
Kubernetes
Linux
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