
Our efficient systems-level AI infrastructure enables a tenfold improvement in both training and inferencing of the largest generative models. Leveraging these capabilities, Decart is able to train…

Our efficient systems-level AI infrastructure enables a tenfold improvement in both training and inferencing of the largest generative models. Leveraging these capabilities, Decart is able to train…
Headquarters: San Francisco
Focus: Real-time, efficiency-first generative AI infrastructure and world models
Notable products: DOS, Oasis, Lucy
Recent funding highlights: $32M Series A (Dec 2024); reports of later large rounds totaling hundreds of millions
Employee count: 112
Optimization and low-latency infrastructure for large generative models; real-time world-models and interactive AI applications.
2024
Artificial Intelligence
$21M
Announced at emergence from stealth
$32M
$300M
Reported round valuing company at about $4B per report
“Sequoia, Benchmark, Radical Ventures and other strategic/backer names (Aliya Capital Partners, Regah Ventures, Valley Capital Partners) are reported as investors”
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I joined Decart to shape the AI industry and I’m hiring an engineer to join me. At most inference companies I could have gone to, I would just be improving Deepseek/Qwen and other existing models.
At Decart I shipped the first realtime diffusion model in the world to run on Trainium which was presented on the main stage of AWS re:Invent, a stage reserved for the president and other leaders of Amazon. This was even the first such live demo in re:Invent history! For me, this is another level of fulfillment, far beyond just improving kernels for existing open-source models.
I’m looking for an exceptional AI Kernel Engineer in San Francisco to own low-level performance for realtime diffusion models: custom CUDA/Triton/NKI kernels, compiler/runtime integration, and end-to-end optimizations. If you’ve shipped real speedups on modern accelerators, DM me a link to your work, or email me at heba@decart.ai
Learn more about Decart https://decart.ai/company
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