Your business, powered by a reliable AI engine.

Prime Basin AI helps companies turn ideas into intelligent systems. We guide you from opportunity discovery to production deployment—identifying high-impact use cases, designing robust architectures, building tailored solutions, and establishing feedback loops for continual improvement. We work in your tech stack, on your terms, delivering results you can build on.

Expertise

Data Readiness & Governance

Ensure AI has clean, connected, and compliant data to work with.

Data inventory and gap analysis.
Breaking down data silos and enabling secure sharing.
Bulk data cleaning, normalization, indexing and enrichment.
Data provenance tracking and compliance controls.
Building APIs, pipelines, and storage systems for model consumption.

AI Solution Design & Model Development

Design and deliver AI systems tailored to business needs.

Selection of model architectures (open-source, proprietary, bespoke).
Model fine-tuning, training, and evaluation against defined metrics.
Model registration and hyper-parameter optimization.
Benchmarking against alternatives to prove value.

Agentic Systems

Go beyond single-model answers to coordinated, autonomous AI workflows.

Designing and deploying agent-based architectures.
Setting up Model Context Protocol (MCP) servers.
Inter-agent communication and task orchestration.
Observability of model behavior at each step.
Implementing user-in-the-loop feedback processes.

Deployment, Monitoring & Continuous Improvement

Ensure the AI system remains accurate, efficient, and valuable over time.

Controlled release pipelines with A/B testing.
Real-time monitoring and observability dashboards.
Performance tuning and retraining schedules.
Feedback loops for ongoing refinement.
Knowledge reuse frameworks to accelerate future improvements.

Engagement Framework

Every collaboration follows a structured process that ensures your AI systems are profitable, maintainable, secure, and fully owned by you.

1. AI Opportunity Assessment & Roadmapping

Identify high-value opportunities before committing resources.

Interview stakeholders to uncover goals and constraints.
Map business processes to potential AI applications.
Assess data availability, integration complexity, and technical readiness.
Estimate ROI and prioritize use cases.
Produce a Strategic AI Roadmap to guide development.

2. Product Requirements Definition

Translate business goals into a clear blueprint for success.

Create a Product Requirements Document (PRD) specifying exactly what the system will do.
Define success metrics, KPIs, and evaluation criteria.
Capture user workflows, edge cases, and integration points.
Ensure stakeholder alignment before any build begins.

3. System Architecture Design

Design the technical backbone for performance and maintainability.

Create a System Architecture Document (SAD) outlining:
- Chosen models and frameworks (LLMs, domain-specific ML, etc.).
- Data pipelines and storage solutions.
- Deployment and hosting environments (cloud, on-prem, hybrid).
- Integration layers with existing systems.
Specify infrastructure for scalability, observability, and controlled releases.
Bake in security, compliance, and ownership safeguards from the start.

4. Implementation & Automation

Deliver a production-ready system that improves over time.

Build and integrate the model(s), data pipelines, and user interfaces.
Set up controlled release processes (staging, canary, A/B testing).
Implement iterative model development pipelines with retraining and tuning workflows.
Integrate feedback collection from users and system performance metrics.
Automate deployment and monitoring to reduce maintenance burden.

5. Continuous Improvement & Capability Transfer

Ensure your AI system evolves and your team can run it without us.

Establish a recurring improvement cycle
Monitor KPIs and address drift, degradation, or new requirements.
Train your technical and operational teams on maintaining and enhancing the system.
Provide complete documentation and transfer full ownership of all data, models, and processes.

Security, Compliance & Ownership (Standard in Every Phase)

Trust and control are non-negotiable.

Implement strict access controls, encryption, and audit logging.
Ensure compliance with relevant regulations (GDPR, CCPA, HIPAA, etc.).
Protect your intellectual property and prevent vendor lock-in.
Guarantee that all models, datasets, and process documentation are owned by you.

Your business, powered by a reliable AI engine.​