Untether AI vs Modal

Modal has a disclosed valuation of $150M, while Untether AI's valuation is not publicly available, making a direct size comparison difficult. Modal employs 30 people.

Untether AI has raised more in total funding at $160M, compared to Modal's $20M — a gap of $140M. Combined, the two companies have completed 1 known funding rounds.

Modal holds the higher Awaira Score at 71/100, compared to Untether AI's 68/100. The Awaira Score is a composite metric factoring in valuation, funding, stage, team size, and market presence — a 3-point gap that reflects meaningful differences in scale or traction.

Untether AI was founded by Martin Snelgrove in 2018. Modal was founded by Erik Bernhardsson in 2021. Visit each company's profile on Awaira for a full founder biography.

Untether AI: Untether AI designs AI inference accelerator chips using a compute-near-memory architecture that places processing elements directly adjacent to memory storage rather than in a separate compute chip, dramatically reducing the data movement bottleneck that limits inference throughput and energy efficiency in conventional von Neumann architectures. The Toronto company develops both the chip architecture and the supporting software compiler toolchain required to deploy AI models on its hardware.\n\nThe company raised approximately $160 million in venture funding from investors including Intel Capital, Export Development Canada, and BDC Capital. Untether AI targets inference-intensive AI applications including edge AI deployment, data centre inference servers, and cloud inference acceleration where power efficiency and throughput per dollar are the primary evaluation metrics. The compute-near-memory approach is architecturally distinct from both GPU-based inference and other AI accelerator designs, with published benchmarks showing significant performance-per-watt advantages for specific inference workload types.\n\nUntether AI competes in the AI inference chip market against NVIDIA TensorRT, Groq, Cerebras, and other AI accelerator companies pursuing different architectural approaches to the inference efficiency problem. Canada position as a global AI research hub, anchored by the Vector Institute in Toronto and Mila in Montreal, provides a strong talent pipeline and research collaboration environment for deep chip design and AI systems work. The company architecture-first approach requires a longer path to production deployment than companies adapting existing GPU infrastructure, but targets a structurally different point on the performance-efficiency curve. Modal: Modal is an AI infrastructure company founded in 2021 that provides cloud computing tools for machine learning and artificial intelligence applications. The platform enables developers to build, deploy, and scale AI models with reduced infrastructure complexity. Modal's core offering centers on serverless computing infrastructure specifically optimized for AI workloads, allowing users to run GPU-intensive tasks without managing underlying hardware directly. The company positions itself within the broader AI infrastructure category, competing alongside platforms like Replicate, Lambda Labs, and cloud providers' AI services. Modal's approach focuses on simplifying the deployment pipeline for machine learning models, enabling developers to move from development to production environments more efficiently. The platform supports various frameworks and use cases including LLM inference, image generation, and general machine learning tasks. Founded in 2021, Modal operates at the Seed stage with total funding of $20 million and a valuation of $0.1 billion. The company benefits from growing demand for accessible AI infrastructure as organizations scale machine learning workloads. Modal's customer base includes AI developers and teams building applications that require computational resources beyond typical cloud offerings. The competitive landscape remains fragmented, with multiple players addressing different aspects of AI infrastructure. Modal's growth trajectory reflects broader market expansion in AI tooling and infrastructure services. Modal addresses the infrastructure gap between AI research and production deployment by offering serverless computing optimized specifically for GPU-intensive machine learning workloads.

Untether AI was founded first in 2018, giving it 3 years of additional market experience. Modal was founded later in 2021. In AI, even a year or two of head start can translate into significantly more training data, customer relationships, and institutional knowledge.

Untether AI has approximately 100-500 employees, while Modal has approximately 30. A larger team often signals higher revenue or venture backing, but in AI, smaller teams are increasingly capable of building at scale.

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