>The real-time ai startup
Faster
Inference
Enabling AI coding agents and agentic workflows to generate 10,000 tokens per second per request (vs ~100 tokens/s for ChatGPT)
>The problem
True autonomy requires reflection. To solve complex bugs, Software Engineers need massive context and deep Chain-of-Thought.
Recent scaling laws prove that longer inference time drives higher accuracy. The challenge is to enable this thinking time without the waiting time.
We built this infrastructure to make deep reasoning instant and viable for production.
vs
/ cycle
Standard latency
Draft
Refine
Test
Lint
/ cycle
Kog Velocity
>The Solution
The thinking without
the waiting
From 5 minutes to 6 seconds
>our Technology
The Kog Inference Engine
A hardware/software co‑design loop for extreme‑speed inference. We bypass standard abstractions to unlock the full potential of AMD Instinct™ GPUs. Every microsecond is optimized for execution.
We replaced standard communication layers (RCCL) to unlock linear scaling for tensor parallelism across high-end GPUs.
KCCL
NCCL (new)
RCCL
NCCL (old)
Latency (µs)
30
25
20
15
10
5
0
10000
12500
15000
17500
20000
Operation Size (Bytes)
Our proprietary model architecture is designed to break the sequential bottleneck and enable natively parallel inference.
Hardware-native
Direct access to L3 Cache and HBM to eliminate memory bottlenecks. We treat the GPU like a race car, not a generic server.
L3 Cache
HBM
Direct acces to L3 Cache and HBM to eliminate memory bottlenecks
Zero Friction
A drop-in replacement for vLLM. No code refactoring required. Fully compatible with your existing container ecosystem."
Container
vLLM Interface
Compatible with your current containers and vLLM Interface
>The proof
Same Silicon,
Same Model,
x
faster
We pitted the Kog Inference Engine (KIE) against the industry standard (vLLM or TensorRT-LLM).
The result? Up to 3.5x on AMD instinct, faster generation on identical workloads. KIE extracts the raw physics of the GPU where standard frameworks hit a software ceiling.
1,368 tokens per second on Llama-3 8B, decode speed optimized for sequential generation.
>The UNFAIR advantage
Build
x
Validate the 100x speedup on your own models. Request API access to benchmark your specific use case and unlock instant reasoning.
>The Team
Deeply Technical DNA
A high-density team of PhDs and GPU and Research Engineers obsessed with pushing hardware to its absolute limits.
Engineers
PhDs
Nationalities
