Ollama vs Qodo

Neither company has publicly disclosed a valuation, making a definitive size comparison difficult. Ollama employs 1-50 people, while Qodo has 75 employees.

Qodo has raised $50M in disclosed funding across 1 known round. Ollama's funding history is not publicly available.

Qodo holds the higher Awaira Score at 58/100, compared to Ollama's 45/100. The Awaira Score is a composite metric factoring in valuation, funding, stage, team size, and market presence — a 13-point gap that reflects meaningful differences in scale or traction.

Qodo was founded by Itamar Friedman in 2022. Ollama's founder information is not currently available in our database.

Ollama: Ollama is an open-source tool that enables developers and technical users to download, run, and interact with large language models locally on their own hardware with a single command-line instruction. The project supports a growing library of open models including Llama, Mistral, Gemma, and Code Llama, running them through a local API server compatible with the OpenAI API interface.\n\nOllama has accumulated hundreds of thousands of installations and tens of thousands of GitHub stars, becoming the default tool for developers who want to run LLMs without sending data to cloud providers. The project has attracted integrations from dozens of downstream tools and IDEs that use its local API as a privacy-preserving alternative to OpenAI and Anthropic endpoints.\n\nLocal AI inference is growing in importance as privacy regulations tighten, enterprise data governance policies mature, and the cost of cloud inference accumulates at scale. Ollama holds a commanding mindshare position among developers exploring local model deployment, and its broad model library and clean API interface make it the entry point for most developers entering the local LLM ecosystem. The absence of external funding reflects a community-driven development model where adoption precedes commercialization. Qodo: Qodo is an Israeli AI development tools company founded in 2022 that focuses on code generation and quality assurance for software developers. The company has raised $50M in total funding and operates at Series A stage, with valuation not disclosed. Qodo develops AI-powered tools designed to automate code generation, testing, and documentation tasks within the software development lifecycle. The platform leverages machine learning to analyze codebases and generate relevant test cases, reducing manual testing overhead and improving code coverage. The company positions itself within the broader AI developer tools category, competing alongside platforms offering code completion and automated testing solutions. Qodo's technology approach emphasizes understanding existing code patterns to generate contextually appropriate outputs. The company targets software development teams and enterprises seeking to accelerate development cycles while maintaining code quality standards. Its tools integrate into existing development environments to minimize friction in adoption. The Israeli tech ecosystem provides Qodo with access to engineering talent and venture capital networks. The company's Series A funding stage indicates investor confidence in its market opportunity within the expanding AI-assisted development tools sector. Growth trajectory reflects increasing enterprise demand for AI solutions that address developer productivity and code quality challenges. Qodo automates test generation and code quality assurance specifically for developers, addressing testing bottlenecks in software development pipelines.

Qodo was founded first in 2022, giving it 1 year of additional market experience. Ollama was founded later in 2023. In AI, even a year or two of head start can translate into significantly more training data, customer relationships, and institutional knowledge.

Ollama has approximately 1-50 employees, while Qodo has approximately 75. A larger team often signals higher revenue or venture backing, but in AI, smaller teams are increasingly capable of building at scale.

Yes, Ollama and Qodo are direct competitors — both operate in the AI Dev Tools space and likely target overlapping customer segments. This comparison is especially relevant for buyers evaluating both platforms.