Building Reliable AI Systems for Production Environments

We work with mid-sized companies and enterprise organizations in Southeast Asia that have moved past initial AI prototyping and need help establishing reliable production systems. Common clients include financial services, healthcare technology, e-commerce platforms, and logistics companies. Most engagements involve teams with at least one data scientist or ML engineer who needs infrastructure and operational support.

Machine Learning Operations engagements typically run 8-12 weeks including assessment, implementation, and operational support. Conversational AI Design projects usually span 10-14 weeks to allow for proper testing and iteration. Performance Tuning engagements are often shorter at 4-6 weeks, though some complex systems require additional time. Timeline depends significantly on your team's availability and the complexity of existing infrastructure.

For MLOps and Performance Tuning work, we typically need some level of system access to properly diagnose issues and implement improvements. We can work within your security constraints and sign appropriate confidentiality agreements. Many clients set up mirror environments or provide read-only access initially. For Conversational AI Design, we often work primarily in development environments and can accommodate strict production access limitations.

Every engagement includes comprehensive documentation covering architecture, operational procedures, and troubleshooting steps. We also provide knowledge transfer sessions with your team so they understand the systems we've implemented. Most clients can maintain and evolve the systems independently after the engagement. We offer optional ongoing support contracts for teams that prefer continued technical assistance, typically structured as monthly retainer arrangements with defined response times.

We follow standard industry practices for data handling including encryption in transit and at rest, access logging, and principle of least privilege. All team members sign confidentiality agreements before engagements begin. We can work with synthetic or anonymized data when full production data access isn't necessary. For organizations with strict regulatory requirements such as healthcare or financial services, we can adapt our processes to align with your compliance frameworks including PDPA, GDPR, or relevant Thai data protection regulations.

The prices listed represent typical starting points for standard engagements. Final project costs depend on scope, timeline, and specific technical requirements. We provide detailed proposals after an initial consultation where we assess your needs. Payment is typically structured with an initial deposit, milestone-based payments during the engagement, and final payment upon delivery of documentation and knowledge transfer. We accommodate purchase order processes for enterprise clients and can adjust invoicing schedules to match your procurement requirements.