AI Automation
We design, deploy, and maintain AI systems built entirely on open-source foundations. Your data stays where you want it. No vendor lock-in. Full auditability.
Locally Runnable Open Source Models
Every model below can be deployed on commodity hardware — from a workstation to a bare-metal server. We handle installation, quantization, fine-tuning, and API gateway setup.
State-of-the-art open weights model. Instruction-tuned variants available. Excellent general reasoning, coding, and multilingual capability.
High efficiency per parameter. Mixtral's sparse MoE architecture delivers 70B-class quality at a fraction of the compute cost.
Exceptional reasoning and math performance in a compact footprint. Ideal for edge deployments and resource-constrained environments.
Designed for responsible deployment. Strong performance across coding, instruction-following, and factual Q&A tasks.
Exceptional multilingual model with strong code and math benchmarks. Available in a wide size range for any hardware budget.
Reasoning-optimized model with chain-of-thought capabilities. Distilled versions run efficiently on consumer-grade GPUs.
671B MoE model with 37B active parameters. Competitive with top proprietary models at zero licensing cost.
Specialized for code generation, completion, and explanation. Supports infilling, instruction-following, and 16K context.
Robust speech-to-text in 100+ languages. Runs fully offline. Powers our IVR and voice automation pipelines.
Vision-language model for image understanding, document analysis, and visual Q&A. No cloud vision API required.
Community fine-tuned models optimized for chat and instruction following. Drop-in replacements for proprietary chat models.
Multilingual with strong benchmark performance. Apache 2.0 licensed — safe for commercial use without restrictions.
High-quality bilingual model (English + Chinese) with strong long-context capabilities up to 200K tokens.
Trained via progressive learning. Achieves 70B-class reasoning quality in a 13B footprint through careful dataset curation.
The world's first multilingual open large language model. Trained transparently on public data. OpenRAIL-M licensed.
Fine-tuned from Llama on high-quality conversation data. Highly capable assistant model for enterprise chat applications.
Services
We bring production AI to your infrastructure. Every deployment is designed for air-gap compatibility — your sensitive data never leaves your network.
For teams that want AI capabilities without hardware investment. We manage open-source model hosting on cloud infrastructure you control — AWS, GCP, Azure, or bare-metal VPS.
Auto-scaling · 99.9% uptime SLA · Cost optimization · Multi-model routing
We deploy and customize production-ready open-source agent frameworks:
Case Study
A pharmaceutical logistics company needed to extract, classify, and route thousands of compliance documents per week. All data was strictly confidential — no cloud OCR or LLM APIs permitted.
UNYGMS deployed a fully local pipeline: Whisper for audio meeting transcripts, LLaVA for document image understanding, Llama 3.1 70B for classification and summarization, and a custom RAG store for regulatory lookup. The system reduced manual document processing time by 87% within the first month.