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Foundation Models

AI-Buzz tracks 18 Foundation Models companies. Current signals are clearest in package pull, public code usage, and hiring demand. Current leaders include OpenAI, Anthropic, and Cohere. The current snapshot covers 1.2B package downloads per month and 54.0K public importing repos.

16 of 18 companies with package pull9 of 18 companies with public code signals3 of 18 companies with fresh hiring signals6 of 18 companies with distribution signals

Companies

18

Core companies in scope

Package pull

1.2B/30d

16 companies with registry activity

Public code

54.0K

9 companies with imports detected

Hiring

33/30d

3 companies with hiring mentions

Funding

$280.4B

12 companies with disclosed rounds

Lead signals

What shows up first in this category

package pull, public code usage, and hiring demand are the clearest aggregate signals across Foundation Models right now.

Package pull

1.2B/30d

16 of 18 companies show registry usage; OpenAI currently leads.

Public code

54.0K

9 companies show public imports; OpenAI leads.

Hiring demand

33/30d

3 companies appear in tracked HN hiring posts; Anthropic leads.

Reading

How the current signals read

package pull and public code are the clearest category-wide signals right now.

Package pull

1.2B/30d

Across 16 of 18 tracked companies

Public code

54.0K

9 companies with imports detected

Hiring demand

33/30d

Across 3 companies in tracked hiring posts

Dependents

44.0K

Across 15 companies with downstream packages

Key facts

  • OpenAI is the current DAI leader at 88.
  • OpenAI leads current package pull with 490.4M/30d.
  • OpenAI shows the widest public code footprint with 46.1K importing repositories.
  • Anthropic leads tracked hiring demand with 25 mentions in the last 30 days.

Coverage

  • 16 of 18 companies with package pull
  • 9 of 18 companies with public code imports
  • 3 of 18 companies with fresh hiring mentions
  • 15 of 18 companies with downstream package usage
  • 6 of 18 companies with distribution coverage

Signal routes

Where to inspect this category next

Use the category summary to identify where the signal mix is strongest, then open the company pages behind it.

Company routes

Read the strongest company pages next

These cards surface the strongest signal mixes, then link straight into the company pages with the underlying detail.

View all companies →
#1
OpenAI logo
OpenAI

AI company behind ChatGPT, GPT models, and the OpenAI API

Moderate

490.4M/30d package pull, 46.1K public repos, and 7/30d hiring mentions.

DAI

88

Package pull

490.4M/30d

Public code

46.1K

Hiring

7/30d

11 active contributors
Open company page →
#2
Anthropic logo
Anthropic

AI safety company behind the Claude model family

High

269.5M/30d package pull, 3.7K public repos, and 25/30d hiring mentions.

DAI

84

Package pull

269.5M/30d

Public code

3.7K

Hiring

25/30d

1 active contributors
Open company page →
#3
Cohere logo
Cohere

Enterprise-focused LLM company. Strong in embeddings and RAG.

Moderate

52.2M/30d package pull, 1.4K public repos, and 848 dependents.

DAI

71

Package pull

52.2M/30d

Public code

1.4K

Dependents

848

385 GitHub stars
Open company page →
#4
Mistral AI logo
Mistral AI

French AI lab building open-weight foundation models.

Moderate

44.7M/30d package pull, 1/30d hiring mentions, and 810 dependents.

DAI

69

Package pull

44.7M/30d

Hiring

1/30d

Dependents

810

10.8K GitHub stars
Open company page →
#5
Voyage AI logo
Voyage AI

Embedding models optimized for RAG. High-quality semantic search.

Moderate

2.4M/30d package pull, 178 dependents, and $20M funding.

DAI

55

Package pull

2.4M/30d

Dependents

178

Funding

$20M

97 GitHub stars
Open company page →
#6
EleutherAI logo
EleutherAI

Open-source AI research collective behind GPT-NeoX and Pythia

Moderate

1.2M/30d package pull, 252 public repos, and 69 dependents.

DAI

48

Package pull

1.2M/30d

Public code

252

Dependents

69

7.4K GitHub stars
Open company page →
#7
Zhipu AI logo
Zhipu AI

Chinese AI lab behind ChatGLM series of language models

Moderate

374.9K/30d package pull, 4 public repos, and 103 dependents.

DAI

46

Package pull

374.9K/30d

Public code

4

Dependents

103

Limited repo-health coverage
Open company page →
#8
xAI logo
xAI

Elon Musk's AI company. Builds Grok chatbot and foundation models.

High

3.8M/30d package pull, 24 public repos, and 313 dependents.

DAI

45

Package pull

3.8M/30d

Public code

24

Dependents

313

51.5K GitHub stars
Open company page →
#9
DeepSeek logo
DeepSeek

AI research lab building open-source reasoning and code models

Moderate

2.1M/30d package pull, 165 dependents, and 173/30d HN mentions.

DAI

41

Package pull

2.1M/30d

Dependents

165

HN

173/30d

102.6K GitHub stars
Open company page →
#10
Aleph Alpha logo
Aleph Alpha

European AI lab building large language models.

Moderate

353.7K/30d package pull, 1.3K public repos, and 77 dependents.

DAI

40

Package pull

353.7K/30d

Public code

1.3K

Dependents

77

99 GitHub stars
Open company page →

All 18 companies in this category

Comparison table

Compare the full category

Sort by the signal that matters most for this category: combined DAI, package pull, public code adoption, hiring demand, or funding depth.

CompanyDAI ScoreDownloads (30d)Public CodeHiringFunding
OpenAI

AI company behind ChatGPT, GPT models, and the OpenAI API

88490.4M46.1K7$171.7B
Anthropic

AI safety company behind the Claude model family

84269.5M3.7K25$58.7B
Cohere

Enterprise-focused LLM company. Strong in embeddings and RAG.

7152.2M1.4K-$1.5B
Mistral AI

French AI lab building open-weight foundation models.

6944.7M-1$3.2B
Voyage AI

Embedding models optimized for RAG. High-quality semantic search.

552.4M--$20M
EleutherAI

Open-source AI research collective behind GPT-NeoX and Pythia

481.2M252--
Zhipu AI

Chinese AI lab behind ChatGLM series of language models

46374.9K4-$356M
xAI

Elon Musk's AI company. Builds Grok chatbot and foundation models.

453.8M24-$42.0B
DeepSeek

AI research lab building open-source reasoning and code models

412.1M---
Aleph Alpha

European AI lab building large language models.

40353.7K1.3K-$533M
Allen AI

Nonprofit AI research institute behind OLMo open language models

3983.8K1.1K--
AI21 Labs

AI company building Jurassic LLMs and Writer platform.

36252.7K70-$252M
Reka AI

Multimodal AI lab building foundation models for enterprise

2951.2K--$58M
Moonshot AI

Chinese AI lab behind Kimi, a long-context language model assistant

2487--$1.1B
Baichuan

Chinese AI company building open-source large language models

238--$1.0B
01.AI

AI research lab behind Yi series of open-source language models

-----
Meta Llama

Meta's open-weight large language model family

-----
Google Gemini

Google's multimodal AI model family and developer platform

-311.7M---

Research

Latest research touching Foundation Models

Use the brief for the category-level claim, then route back into company pages for the underlying signals.

Browse research →

FAQ

Common questions

What are the top Foundation Models AI companies?

The current DAI leaders in Foundation Models include OpenAI (DAI 88), Anthropic (DAI 84), and Cohere (DAI 71). Use the company pages to inspect the package pull, public code, hiring, and funding signals behind those rankings.

How much public adoption shows up in Foundation Models?

Across 18 tracked companies, current public signals show 1.2B package downloads per month, 44.0K known dependents, 54.0K public importing repos, and 33 recent hiring mentions. Coverage is uneven by company, so the detail pages show which signals are actually present for each one.

How much funding have Foundation Models AI companies raised?

Foundation Models AI companies disclose $280.4B in combined funding across 12 tracked companies with known rounds.

How much developer discussion shows up around Foundation Models?

The current snapshot tracks 14.5K Hacker News mentions across 13 companies in Foundation Models. Discussion is supportive context rather than the lead signal.

Where should I start when reviewing Foundation Models?

Start with the strongest signal routes: OpenAI leads package pull, OpenAI leads public code usage, and Anthropic leads hiring visibility. Then compare those companies against the full table to see whether the category is concentrated or broad.

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