Pushing the Boundaries of Artificial Intelligence
From VexAI to open-source models on Hugging Face, our research team is building the future of intelligent systems. We don't just follow AI trends—we create them.
Building VexAI
Our flagship AI assistant represents years of research in natural language understanding, reasoning, and human-AI interaction.
VexAI isn't just another chatbot—it's a complete rethinking of how AI can assist humans. Our research focuses on making AI that truly understands context, reasons through complex problems, and communicates naturally.
Key innovations in VexAI include our Canvas system for collaborative document editing, multi-modal understanding across text, images, and code, and advanced safety guardrails that ensure responsible AI behavior.
Reinventing Search with Inquire
Traditional search is broken. Inquire combines semantic understanding with real-time indexing to deliver answers, not just links.
Our search research focuses on understanding user intent, not just matching keywords. Inquire uses advanced embedding models and retrieval-augmented generation to understand what you're really looking for.
We're exploring new frontiers in federated search, allowing Inquire to aggregate results across multiple specialized indices while maintaining speed and relevance. The result is a search engine that learns and improves with every query.
Contributing to the AI Community
We believe AI research should benefit everyone. That's why we open-source our models and research on Hugging Face.
Our open-source contributions include fine-tuned language models, embedding models for semantic search, and specialized models for specific domains like code generation and document understanding.
By sharing our research, we're not just giving back to the community—we're accelerating the pace of AI development worldwide. We've seen our models used in research projects, startups, and enterprise applications around the globe.
Research Models
Fine-tuned LLMs for various tasks, free to use and modify.
Training Code
Complete training pipelines and evaluation frameworks.
Datasets
Curated datasets for training and benchmarking models.
Active Research Domains
Our research spans multiple areas of AI and systems engineering.
Medical AI
Developing AI systems for healthcare applications, from diagnostic assistance to medical imaging analysis and clinical decision support.
- Diagnostic Assistance
- Medical Imaging Analysis
- Clinical Decision Support
- Healthcare NLP
SLM Reasoning
Researching how Small Language Models can achieve complex reasoning capabilities, making advanced AI accessible on resource-constrained devices.
- Chain-of-Thought Reasoning
- Knowledge Distillation
- Efficient Inference
- Edge Deployment
Natural Language Processing
Advanced language understanding, generation, and reasoning. Building conversational AI that truly comprehends context and nuance.
- Large Language Models
- Conversational AI
- Multi-turn Reasoning
- Code Generation
Information Retrieval
Next-generation search and knowledge systems. Building the infrastructure for intelligent information access at scale.
- Semantic Search
- Dense Retrieval
- RAG Systems
- Knowledge Graphs
Agentic Systems
Autonomous AI agents that can plan, reason, and execute complex tasks with minimal human intervention.
- Task Planning
- Tool Use & Function Calling
- Multi-agent Coordination
- Safety & Alignment
AI Safety & Ethics
Building AI that is safe, fair, and beneficial. Research into alignment, bias mitigation, and responsible deployment.
- Alignment Research
- Bias Detection & Mitigation
- Interpretability
- Robustness Testing
AI Infrastructure at Scale
Training and serving AI models at scale requires innovative infrastructure. Our systems research ensures VexAI performs reliably for millions of users.
Our infrastructure research focuses on efficient model serving, distributed training, and intelligent resource management. We've developed custom solutions for model sharding, dynamic batching, and adaptive load balancing.
As a self-hosted operation, we maintain complete control over our systems. This allows us to experiment with cutting-edge hardware, optimize at every layer of the stack, and deliver performance that cloud-only solutions can't match.
GPU Cluster Optimization
Custom scheduling and memory management for efficient model training.
Low-Latency Inference
Sub-100ms response times for real-time AI applications.
Secure Compute
Privacy-preserving inference for sensitive enterprise workloads.
From Research to Production
How we turn research breakthroughs into products people use every day.
Exploration
Identify promising research directions through literature review, experimentation, and collaboration with the research community.
Prototyping
Build proof-of-concept models and systems. Test hypotheses with real data and iterate rapidly on promising approaches.
Validation
Rigorous evaluation against benchmarks and real-world use cases. Safety testing and bias audits before any production use.
Productization
Integration into VexAI, Inquire, or VexAPI. Continuous monitoring and improvement based on user feedback.
Collaborate With Our Research Team
Whether you're a researcher, enterprise partner, or startup, we're open to collaboration. Let's push the boundaries of AI together.