Darmm Labs
Darmm AI Ecosystem

Multilingual AI & Agentic Systems.

We build high-performance NLP, ASR, and TTS for three languages (Kazakh, Russian, English) — LLMs, fine-tuning, TTS and more, plus production-ready agentic systems for teams.

See ServicesOpen Hugging Face
Hard Pass: 90%+ quality bar
CUDA/vLLM optimization mindset
Agentic GraphRAG for enterprise knowledge
Services

What we ship for business

From pilots to production: clear scope, measurable quality, and real infra (not just API wrappers).

Chatbots & Agentic Assistants

GraphRAG assistants for onboarding, internal support, and expert workflows.

  • Secure RAG
  • Tool calling
  • Evaluation & guardrails
Discuss a chatbot

ASR & Call Analytics

Speech-to-text pipelines for call centers with domain adaptation and compliance needs.

  • Streaming ASR
  • WER/CER reports
  • Speaker diarization
Request ASR demo

Voice AI (TTS)

Natural voice generation tuned for regional pronunciation and product constraints.

  • Realtime TTS
  • Custom voices
  • Latency tuning
Talk about TTS

Question Answering over Documents

Knowledge search for legal, finance, HR, and customer support repositories.

  • Chunking strategy
  • Citations
  • Private deployments
Build document QA

Text Classification

Reliable classifiers for routing, moderation, sentiment, and domain tagging.

  • Fine-tuning
  • Active learning loop
  • Monitoring
Scope classification

Text Generation & Fine-tuning

LLM customization, prompt engineering, and inference optimization for cost and latency.

  • LoRA/QLoRA
  • Quantization
  • vLLM serving
Optimize LLM
Open Assets

Models, datasets, and collections

Public work you can inspect today — and the foundation for custom deployments tomorrow.

Hugging Face: Models

Fine-tuned and optimized checkpoints for multilingual (KZ, RU, EN) NLP and voice tasks.

Browse models

Hugging Face: Datasets

Datasets we release and curate for multilingual coverage (Kazakh, Russian, English).

Browse datasets

Hugging Face: Collections

Curated bundles of models + datasets for specific tasks and benchmarks.

Browse collections

GitHub Engineering

Serving templates, evaluation harnesses, and production utilities.

Open GitHub

Core focus

  • Multilingual NLP/ASR/TTS (KZ, RU, EN)
  • Agentic GraphRAG systems
  • CUDA-level inference optimization
R&D

R&D that turns into production

We optimize and evaluate models end-to-end: data, training, inference, and reliability.

Inference optimization: vLLM, TensorRT-LLM, quantization (AWQ/GGUF).
Voice AI: low-latency ASR/TTS tuned for regional accents.
RAG reliability: graph retrieval, evaluation, and safety checks.
Delivery

AI Consulting & Custom Development

Audit, design, and ship systems with security, monitoring, and predictable costs.

RAG audit: data exposure risks, retrieval quality, hallucination rate, and cost.
Custom ASR/NLP: call analytics, compliance search, and domain vocab adaptation.
LLM fine-tuning and hosting: private data, governance, monitoring, and SLAs.
Stack

How we build

Infrastructure-first engineering so models actually work in the real world.

Serving: vLLM, TensorRT-LLM, Triton, quantization pipelines
Voice: streaming ASR, diarization, realtime TTS
RAG: graph retrieval, evaluation harnesses, safety checks
Infra: observability, cost controls, deployment automation
Engineering: Go/Python systems and benchmarks
Partners

Partners we've worked with

We deliver for leading enterprises and government bodies — and other major organizations.

Kazakhtelecom
eGov
ECC (CEC)

Ready to build with Darmm Labs?

Tell us your use-case and constraints — we’ll propose a concrete plan.

Contact by emailMessage on Telegram