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Custom SLM & LLM Development
We build compact, sovereign, and domain-adapted language models. As showcased in our PyCon Armenia 2026 keynote, our MoEDCoder architecture demonstrates how framework-routed Mixture-of-Experts can deliver specialized code intelligence on consumer hardware with maximum cost efficiency.
Tech Stack
MoEDCoder MoEDomain SLMsDiscrete DiffusionOn-PremisePyCon 2026
Key Capabilities
- Mixture-of-Experts (MoE) routing for specialized tasks
- Framework-supervised discrete code diffusion
- Edge and on-premise model quantization (GGUF, ONNX)
- Full IP and weight ownership for enterprise clients
- Continuous evaluation pipelines and latency benchmarking
Business Impact
- Up to 80% lower inference costs compared to generalist 70B models
- 100% private data isolation without third-party API exposure
- Validated academic and industry track record (PyCon Armenia 2026)