Jan AI vs Qodo

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

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

Qodo holds the higher Awaira Score at 58/100, compared to Jan AI's 40/100. The Awaira Score is a composite metric factoring in valuation, funding, stage, team size, and market presence — a 18-point gap that reflects meaningful differences in scale or traction.

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

Jan AI: Jan AI develops an open-source offline AI assistant application and local inference runtime that allows users to run large language models directly on their personal computers without internet connectivity or data transmission to cloud services. The application provides a chat interface comparable to cloud AI assistants while keeping all model weights and conversation history stored locally on the user device.\n\nThe project has attracted significant open-source adoption among privacy-conscious users, developers, and organizations that require fully air-gapped AI capabilities. Jan supports a variety of model formats and hardware configurations, including CPU-only inference for machines without dedicated GPUs, expanding its accessible user base beyond the developer community.\n\nThe local AI assistant market is growing as users become more aware of cloud AI privacy limitations and as consumer hardware becomes capable enough to run useful models. Jan competes with LM Studio, Ollama, and LocalAI in the local inference runtime space, differentiating through its polished desktop application interface that targets non-developer users alongside the technical community that drives most local AI adoption. 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. Jan AI 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.

Jan AI 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, Jan AI 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.