ZETIC.ai
ZETIC.ai, founded in Seoul in March 2024 by former Qualcomm engineer Yeonseok Kim, is an on-device AI inference infrastructure company.
About
ZETIC.ai, founded in Seoul in March 2024 by former Qualcomm engineer Yeonseok Kim, is an on-device AI inference infrastructure company. Its product ZETIC.MLange converts and optimizes AI models into SDKs that run directly on mobile and edge-device NPUs (Android/iOS/Linux; Qualcomm, MediaTek, Apple chipsets) without cloud GPUs. Partners include Qualcomm, Liquid AI, LG Electronics, SK hynix and Advantech.
Capital graph
Founders / team· 2
Comparable companies· by market
This company
BusinessLatest roundTotal raisedDate- ZETIC.ai
On-device AI model deployment and inference optimization platform ZETIC.MLange, helping companies deploy speech…
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United States
BusinessLatest roundTotal raisedDate- Cactus Compute
Open-source inference engine Cactus: Cactus Engine (OpenAI-compatible text/speech/vision inference API), Cactus Graph (zero-copy compute graph)…
— - Autoloops
Low-latency real-time inference for open-source LLMs for voice agent developers (serverless API + on-demand GPU clusters)…
— - RadixArk
Open-source AI infrastructure; maintains the SGLang inference engine and Miles reinforcement learning framework for cross-hardware model deployment an…
Seed · $100M · 2026-05 · Valuation $400M
$100MValuation $400M
China
BusinessLatest roundTotal raisedDate- Qingcheng.AI
AI compute system software: Chitu LLM inference engine and BaGuaLu training acceleration system, adapted to Chinese AI chips including Ascend, Hygon…
Series A · 2026-10
— - APMIC
On-premises private LLM deployment and AI application platform for enterprises: PrivStation all-in-one on-prem AI platform…
— - DeepKernel
Sovereign AI infrastructure: trusted execution and confidential computing so enterprises using large models keep control of data…
Seed · 2026-09
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Europe
BusinessLatest roundTotal raisedDate- SLNG
Voice AI execution-layer platform for developers and enterprises building voice agents: unified multi-model access, regional compliance routing…
$4M
$4M - Literal Labs
Develops custom logic-based AI models designed to be faster, more energy-efficient and more interpretable than traditional neural networks
Pre-Seed · $6M · 2025-06
$6M - Farang
New AI model architecture to replace the Transformer, used to build domain-specific intelligent assistants
Seed · $2M · 2025-08
$2M
Other / unspecified
BusinessLatest roundTotal raisedDate- DesignedAI
AI model inference runtime/software framework Metep that optimizes model execution across hardware, cutting compute, power and memory costs
— - doubleAI
AI models that rewrite machine code at runtime to cut CPU/GPU compute costs
Series A · $220M · 2025-11 · Valuation $1.0B
$220MValuation $1.0B - Speculum AI
Runtime platform for mission-critical enterprise and government AI, managing AI behavioral stability (Mirror OS) and token efficiency (Mirror Token)
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