Capabilities
Artificial Intelligence & Machine Learning
Enterprise AI is more than calling a language model. BAYA designs and deploys AI systems from data architecture through human oversight.
The organizational challenge
Organizations often mistake AI for a single tool or API call, then run into data quality, evaluation, governance, and trust problems after deployment. BAYA addresses these at the architecture stage, not after the fact.
What we do
- Enterprise AI architecture and orchestration across multiple models and providers
- AI agent development with bounded scope and human oversight
- Retrieval-augmented, knowledge-grounded systems with traceable provenance
- Continuous evaluation and monitoring of model output quality
- Choosing between cloud, on-premise, and hybrid deployment based on privacy and security constraints
What we don't claim
- BAYA does not develop its own proprietary large language model; it focuses on architecture, integration, and governance of existing models.
- No AI project ships without human oversight and a defined evaluation standard.
Deliverables
- — Enterprise AI reference architecture
- — Agent or pilot with defined acceptance criteria
- — Evaluation and monitoring framework
- — Data and model governance documentation
Frequently asked questions
- Does BAYA just connect off-the-shelf models to systems?
- No. Connecting to a model is only the starting point; the core of the work is data architecture, evaluation, human oversight, and governance — without which an enterprise AI project won't hold up in production.
- Does our data have to go to an international cloud?
- Not necessarily. Depending on an organization's privacy and security constraints, on-premise or hybrid deployment options are designed and evaluated as well.