Flapping Airplanes

Provides AI model deployment infrastructure

Series D+ · $2.1B · 2026-06 · Valuation $13B

Helps developers and enterprises customize and run open-source AI models on their own data

Series D+ · $1.8B · 2026-07 · Valuation $18B

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

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

On-premises private LLM deployment and AI application platform for enterprises: PrivStation all-in-one on-prem AI platform, PrivModel model fine-tuning and distillation service, CaiGunn no-code enterprise assistant/customer service

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

New AI model architecture to replace the Transformer, used to build domain-specific intelligent assistants

Seed · $2M · 2025-08

Kubernetes multi-tenancy and hosted control plane platform kMetal (Capsule, Kamaji open-source projects) for AI lab and cloud provider clusters

Seed · $3M · 2026-09

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

Improves the efficiency of AI models to enable fast training and real-time inference

Undisclosed · $453M · 2026-05 · Valuation $100M

AI models that rewrite machine code at runtime to cut CPU/GPU compute costs

Series A · $220M · 2025-11 · Valuation $1.0B

Context/token compression gateway and open-source 4B compression model for AI coding agents, reducing LLM API costs.