Our Process
We follow a proven three-step methodology to deliver custom AI solutions that drive real business value
AI PRODUCT DISCOVERY
Our team conducts a quick sprint to understand your data requirements and design your product from both a UI perspective as well as system architecture and technical perspective.
Key Activities
System Architecture
We design the technical architecture that will power your AI solution
Data Evaluation
We assess your data sources, quality, and requirements for the AI solution
UI/UX Design
We create intuitive user interfaces that make AI accessible
Stakeholder Requirements
We collect key stakeholder input and establish scale criteria for success
PROTOTYPE
We build a functioning prototype to validate feasibility, test assumptions, and gather feedback early in the process to ensure we're on the right track.
Key Activities
Rapid Development
We quickly build a working version with core functionality
Model Selection & Training
We identify and implement the most appropriate AI models
Iterative Testing
We test and refine the prototype based on real-world feedback
Performance Validation
We validate that the solution meets your business requirements
PRODUCTION & MAINTENANCE
We take your prototype and deploy it into production, establishing guardrails as well as a maintenance and support package to ensure long-term success.
Key Activities
Production Deployment
We deploy your solution to a production environment
Guardrail Implementation
We establish safety measures and controls to ensure responsible AI use
Ongoing Support
We provide technical support and troubleshooting
Continuous Improvement
We monitor performance and make ongoing enhancements to your solution
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