Indian AI company, backed by MicrosoftAI OptimizationLLMs, but
leaner.
We cut enterprise LLM memory and cost by up to 57% through KV cache optimization — no retraining, no quality loss.
pip install turbokvcopyMicrosoft for Startups
Official portfolio company
Open Source Research
First open-source
TurboQuant implementation.
TurboKV is the first open-source implementation of Google's TurboQuant algorithm (arXiv 2504.19874). It compresses transformer KV caches to 4-bit precision — cutting VRAM by up to 57% with near-zero accuracy loss. Drop-in for any HuggingFace model. Zero retraining.
pip install turbokv# 3 lines to compress your LLM
from turbokv import KVCompressor
kv = KVCompressor(bits=4)
model = kv.wrap(your_model)By the numbers
Real models,
real results.
Peak memory saved
Llama 3 70B at 8K context
Max KV compression
vs standard BF16
Faster inference
RTX 4080, 4K context
Accuracy delta
Near-zero quality loss
What We Do
Research. Optimize. Build.
TurboKV
Open SourceFirst open-source implementation of Google TurboQuant. 4 to 7× KV cache compression, drop-in for any HuggingFace model. Available on PyPI.
LLM Optimization
ServiceWe profile your inference stack and apply KV cache compression, quantization, and batching optimizations — cutting VRAM and cost without touching accuracy.
Fine-Tuning
ServiceFull fine-tuning and PEFT of LLMs and SLMs for any domain or task. LoRA, QLoRA, full-parameter — we handle data, training, and evaluation.
Custom AI Builds
ServiceWe design and ship AI-powered systems from scratch, grounded in our own research. From concept to production — anything you need, built on solid ML foundations.
AI Consulting
ServiceStrategy and implementation for enterprises adopting AI. We work hands-on with your team, not just advise from a slide deck.
Process
Audit. Optimize. Deploy.
Audit
We profile your models and infrastructure to find exactly where memory and compute is wasted.
Optimize
We apply KV cache compression, quantization, and batching tuned precisely to your workload.
Deploy
Ship to production. We monitor, iterate, and stay until you hit your performance targets.
About
Built on
real research.
OWLGORITHM was founded with one obsession: making large language models run faster and cheaper. We published the first open-source implementation of Google's TurboQuant algorithm, and we bring that same depth to every client engagement.
AP Police Hackathon — 1st Place
Won the Andhra Pradesh Police state-wide hackathon building an AI tool for public safety — competing against teams across AP.
Building AI at AP Police
Our founder works directly inside AP Police as an AI practitioner, shipping real intelligence tools used in active law enforcement.
Microsoft for Startups
Accepted into Microsoft for Startups — Azure credits, technical mentorship, and enterprise infrastructure from day one.
Your LLMs
cost too much.
We cut enterprise LLM costs through research-grade optimization. Let's talk about your stack.
Microsoft backed·🇮🇳 India·Available now