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Ollama

AI InfrastructureVerified95% conf

Local inference platform for running large language models on your machine

ollama.com

📍 Toronto, Ontario, Canada

Verified Data

💰
Est. Revenue$200K-$800K ARR

Based on $125K pre-seed funding, 1-10 employee team, and pricing tiers ($20/month Pro, $100/month Max). Early-stage startup with significant web traffic (5.3M visits) suggests modest but growing revenue from paid plans.

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Funding$125K pre-seed from Y Combinator and Angel Collective Opportunity Fund

Ollama secured **$125,000 USD** in a **Pre Seed** funding round on **April 11, 2025**, from Y Combinator and Angel Collective Opportunity Fund

📊
Monthly Traffic5.3M visits/month

The company's website, ollama.com, attracted **5.3 million total visits** in January 2026

🧑‍💻
Team Size1-10 employees

Operating with a team of **1-10 employees**

📈
Growth12.5% monthly traffic increase

showing a **12.5%** increase from the previous month

🏷️
StagePre-seed (April 2025)

Company Profile

ModelB2B SaaS
VerticalDeveloper tools, AI/ML
BuyersBusinesses and developers, predominantly 25-34 year olds, 73.31% male and 26.69% female
PricingFree tier, Pro $20/month, Max $100/month

Contact

Strategic Analysis

Strategy

Ollama focuses on democratizing AI by enabling local LLM inference, targeting developers and businesses who want privacy and control over their AI models. Their freemium model with tiered pricing allows them to capture both individual developers and enterprise customers while building a strong developer community.

Tactics

Leveraging Y Combinator network for growth, building developer community through open-source approach, and using content marketing via technical guides and tutorials. Strong web presence with 5.3M monthly visits indicates effective SEO and developer outreach.

Competitive Positioning

Positioned as the privacy-focused alternative to cloud-based AI services, competing with OpenAI API and other cloud LLM providers by offering local inference capabilities. Differentiates on data privacy, reduced latency, and offline functionality.

Marketing Approach

Developer-focused content marketing with technical tutorials and guides, strong organic web traffic growth, and community building through open-source contributions. Leveraging social media presence on X and LinkedIn for developer engagement.

Notable

Y Combinator portfolio company, co-founded by Jeffrey Morgan and Michael Chiang

Tech Stack

SSLCloudflareCloudflareDockerDockerLinuxLinuxmacOSLLaMAcrewAI

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Discovery Sources

Signals

trend indicatorProductivity🔗 source ↗
trend indicatorProgramming🔗 source ↗
trend indicatorExperimentation🔗 source ↗
trend indicatorLocal AI Models🔗 source ↗
trend indicatorSoftware Development🔗 source ↗
trend indicatorMachine Learning🔗 source ↗
trend indicatorAI🔗 source ↗
trend indicatorOpen Source🔗 source ↗
trend indicatorLLM🔗 source ↗
funding raisedY Combinator🔗 source ↗
trend indicatorSoftware Development🔗 source ↗
trend indicatorApple Silicon🔗 source ↗
trend indicatorMachine Learning🔗 source ↗
trend indicatorAI🔗 source ↗
web traffic5.3M visits/month

The company's website, ollama.com, attracted **5.3 million total visits** in January 2026

growth rate12.5% monthly traffic increase

showing a **12.5%** increase from the previous month

web traffic4,600,930 monthly visits

with an estimated 4,600,930 monthly visits as of February 12, 2026

growth rate16.9759% monthly growth

showing a monthly growth of 16.9759%

user count175,000 unique hosts

researchers identifying 175,000 unique Ollama hosts across 130 countries as of January 29, 2026

funding raisedPre-seed from Y Combinator and Angel Collective Opportunity Fund

it has successfully completed one pre-seed funding round with investors including Y Combinator and Angel Collective Opportunity Fund; however, the total amount of funding raised is not explicitly disclosed

growth rate16.98% month-over-month growth

with an estimated **4,600,930** monthly visits and a **16.98%** month-over-month growth as of February 12, 2026

funding raised$125K pre-seed from Y Combinator and Angel Collective Opportunity Fund

The company has raised **$125K** in pre-seed funding, with investors including Y Combinator and Angel Collective Opportunity Fund

growth rate16.98% monthly traffic increase
funding raised$125K pre-seed
team size1 to 10 employees
funding raised$125K in total funding
web traffic4,600,932 visits🔗 source ↗
user count40,000 integrations
funding raisedPre-Seed funding from Y Combinator and Angel Collective Opportunity Fund
growth rateCrunchbase Growth Score of 51 (down 17 points quarterly), Heat Score of 66 (down 9 points quarterly)🔗 source ↗
team size1-10 people🔗 source ↗
funding raised$125K🔗 source ↗
web traffic4,600,932 monthly web visits🔗 source ↗
funding raised$125,000 pre-seed from Y Combinator🔗 source ↗
web traffic4,600,932 visits/month🔗 source ↗
growth rate16.98% increase in the past month🔗 source ↗
team size2-10 employees🔗 source ↗
user count13 companies and 46 developers
funding raised$125K in pre-seed funding
growth rate16.98% increase in monthly web visits🔗 source ↗
team size1-10 employees🔗 source ↗
funding raised$125K from Accelerator/Incubator round🔗 source ↗
trend indicatorgpt-oss🔗 source ↗
trend indicatorgemma3🔗 source ↗
trend indicatorllama3🔗 source ↗
trend indicatordeepseek🔗 source ↗
trend indicatorqwen🔗 source ↗
trend indicatorollama🔗 source ↗
trend indicatorllms🔗 source ↗
trend indicatorllm🔗 source ↗

Evidence

github.com

Get up and running with Kimi-K2.5, GLM-5, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and other models.

ollama.com

$125K from Accelerator/Incubator round

ollama.com

1-10 employees

ollama.com

16.98% increase in monthly web visits

similarweb.com

4,600,932 visits/month

crunchbase.com

$125,000 pre-seed from Y Combinator

crunchbase.com

2-10 employees

semrush.com

16.98% increase in the past month

crunchbase.com

4,600,932 monthly web visits

pitchbook.com

1-10 people

pitchbook.com

Crunchbase Growth Score of 51 (down 17 points quarterly), Heat Score of 66 (down 9 points quarterly)

similarweb.com

4,600,932 visits

ollama.com

Ollama on Apple silicon is now built on top of Apple’s machine learning framework, MLX

sleepingrobots.com

Ollama spent years systematically obscuring where its actual technology comes from.

jola.dev

Best model: Qwen 3.5-9B (4b quant) with ~40 tokens per second, successful tool use, and 128K context window.