DesignedAI
DesignedAI is a Seoul-based AI infrastructure startup (Seoul AI Hub, Seocho-gu) founded in 2019.
About
DesignedAI is a Seoul-based AI infrastructure startup (Seoul AI Hub, Seocho-gu) founded in 2019. It develops Metep, a C++ AI framework and runtime that optimizes how trained models execute on CPU/GPU/NPU hardware without retraining (validated on Intel x86 and Qualcomm QCS8550), targeting vision AI, on-device LLM and cloud inference.
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This company
BusinessLatest roundTotal raisedDate- DesignedAI
DesignedAI is a Seoul-based AI infrastructure startup (Seoul AI Hub, Seocho-gu) founded in 2019. It develops Metep, a C++ AI framework and runtime that optimizes how trained models execute on CPU/GPU/NPU hardware without retraining (validated on Intel x86 and Qualcomm QCS8550), targeting vision AI, on-device LLM and cloud inference.
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United States
BusinessLatest roundTotal raisedDate- Minima AI
Optimized runtime combining model compression, KV-cache optimization and custom inference kernels, plus a managed inference API, for enterprises deploying LLM inference, reducing GPU usage and per-token cost
— - RadixArk
Open-source AI infrastructure; maintains the SGLang inference engine and Miles reinforcement learning framework for cross-hardware model deployment and training.
Seed · $100M · 2026-05 · Valuation $400M
$100MValuation $400M - Infinity
AI inference infrastructure that automatically generates, tests and optimizes low-level inference kernels for heterogeneous AI chips (CUDA alternative layer)
Seed · $15M · 2026-07
$15M
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, MetaX and Moore Threads
Series A · 2026-10
— - ExponTech
In-house distributed software-defined storage SDS2.0, including AI-native KV Cache storage WQS, distributed block storage WDS and parallel file storage WFS, for AI inference/training storage and domestic IT substitution needs of government, enterprise and LLM vendors
Series B · 2026-10
— - DeepKernel
Sovereign AI infrastructure: trusted execution and confidential computing so enterprises using large models keep control of data, agent trajectories and accumulated intelligence
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, lower latency and cost
$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- Speculum AI
Runtime platform for mission-critical enterprise and government AI, managing AI behavioral stability (Mirror OS) and token efficiency (Mirror Token)
— - Decart
Improves the efficiency of AI models to enable fast training and real-time inference
Undisclosed · $453M · 2026-05 · Valuation $100M
$453MValuation $100M - Paritok
Context/token compression gateway and open-source 4B compression model for AI coding agents, reducing LLM API costs.
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