Generic foundation models break on domain specific tasks. UBIAI fine-tunes your AI components: classifier, retriever, reasoning—and optimizes your entire workflows to handle real domain specific tasks.
TRUSTED BY INNOVATIVE TEAMS WORLDWIDE
Foundation models excel at general tasks. But production models need specialized behavior—precise classification, accurate reasoning, reliable tool use. When generic models meet complex workflows, they struggle with your schemas, your logic, your production edge cases.
Your LLM makes up facts with total confidence. It wasn't trained on your domain knowledge, so it fills gaps with plausible-sounding nonsense that destroys user trust.
Generic models don't know your voice, your terminology, or your output requirements. Every response needs manual editing because the generator can't match your standards.
Works great on 10 examples. Falls apart on 10,000. Generic models can't handle the edge cases, domain jargon, and real-world complexity your users throw at them.
Prompt engineering is a bandaid. RAG alone isn't enough. Your model needs to actually understand your domain.
From training data creation to production deployment, UBIAI provides the complete toolkit for building AI components that actually work in the real world.
Upload domain examples or generate synthetic data for any component.
Label reasoning paths, question/answer, PDFs, DOCX and more.
Auto-generate realistic variations from existing examples.
LLM-as-judge scores and removes low-quality examples automatically.
Prompt fine-tuning in 15 min, weight training in 2-4 hours.
We choose the best model for your component and budget.
Start with prompt optimization, upgrade to weights when needed.
15-minute prompts for quick wins, 2-4 hour weights for max accuracy.
Deploy via API or export to your infrastructure.
Works with LangChain, LlamaIndex, AutoGPT, or custom frameworks.
Export as GGUF, safetensors, or Hugging Face models.
Track accuracy and latency. Auto-retrain when performance drifts.
Don't start from scratch. Use pre-trained models and fine-tune them for your specific domain in minutes.
Pre-configured classifier, retriever, and response generator. Fine-tune on your docs and support history to handle tier-1 tickets automatically.
Lead qualification, product recommendation, and objection handling. Train on your CRM data and product catalog for accurate responses.
Semantic search, code snippet generation, and multi-step guidance. Perfect for technical documentation and API references.
Multi-class classification with reasoning. Train on your community guidelines to detect policy violations with high accuracy.
Intent recognition, parameter extraction, and multi-tool orchestration. Connect to your APIs and automate complex workflows.
Query decomposition, multi-source retrieval, and synthesis. Ideal for answering complex questions across large knowledge bases.
We'll help you design the perfect AI architecture for your use case.
Book a Strategy CallFrom exploration to enterprise, we have a plan that fits your goals and grows with your ambitions.
Perfect for getting started with AI personalization.
For growing teams building multiple AI applications with advanced features.
For large organizations with complex requirements and custom needs.
From open-source leaders to proprietary powerhouse, UBIAI supports the models you need. Pick the right foundation for your use case and budget.
Meta's powerful open-source models. Great balance of performance and cost for most use cases.
Efficient European models with strong multilingual capabilities and excellent instruction following.
Industry-leading models from OpenAI. Premium performance for demanding applications.
Google's lightweight open models. Optimized for efficiency and easy deployment.
Alibaba's capable multilingual models with strong coding and reasoning abilities.
Chinese open-source models with exceptional reasoning and coding capabilities at competitive costs.
We support many more open-source and proprietary models.
Request a DemoDon’t build another generic model. Build your vision in AI.