
Modular is an AI infrastructure company building a unified, hardware-agnostic compute stack for high-performance generative AI development and deployment. The company develops the Mojo programming language (a Python superset for AI workloads) and MAX, a high-performance inference framework that optimizes AI models across CPUs, GPUs, NPUs and custom accelerators, with OpenAI-compatible APIs and support for NVIDIA, AMD and Apple Silicon. Qualcomm completed its all-stock acquisition of Modular on July 28, 2026; Mojo, MAX and Modular Cloud continue as products under Qualcomm Technologies, with co-founder Chris Lattner leading advanced AI software and platforms.
Modular has been acquired
This company is no longer available on our private secondary market.
Company data and valuation marks are estimates and may be incomplete, stale, erroneous, or revised.
Founded
2022
Total Funding
$380M
3 rounds
Latest Valuation
$1.6B
Sep 24, 2025
Closed $3.9B all-stock acquisition by Qualcomm on 2026-07-29; deal announced 2026-06-24.
Liquidity event: Modular equity converted to newly issued public QCOM stock; no longer an independent private company.
Funding data and valuation marks are estimates and may be incomplete, stale, erroneous, or revised.
Total raised $380M across 3 rounds
Last updated 08-18-2026
| Date | Round | Amount Raised | Valuation | Lead Investors |
|---|---|---|---|---|
| Sep 24, 2025 | Series C | $250M | $1.6B | U.S. Innovative Technology Fund |
| Aug 24, 2023 | Series A TechCrunch | $100M | $0.6B | General Catalyst |
| Jun 30, 2022 | Seed TechCrunch | $30M | — | GV |
Funding data and valuation marks are estimates and may be incomplete, stale, erroneous, or revised.
Entry · Series A
$600M
Aug 2023
Modular today
$1.6B
Sep 2025 · latest mark
Modular multiple
2.7x
valuation uplift since first round
Y-axis is logarithmic. Hollow dots = estimated valuations. Does not represent realized investor returns.
Competitor list is illustrative and may be incomplete, stale, or erroneous.
TensorFlow
Open-source machine learning framework by Google with comprehensive ecosystem including TF Serving, TFX pipelines, and TFLite for edge deployment.
PyTorch
Meta-developed deep learning framework with strong community adoption and ecosystem including vLLM for inference serving.
JAX
Google-developed functional transformation engine with composable array programming and automatic differentiation capabilities.
vLLM
High-throughput open-source inference serving engine built for large language model deployment with efficient memory utilization.
NVIDIA Triton Inference Server
NVIDIA's inference serving platform supporting multiple frameworks and providing optimization across diverse hardware.
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