AI-Generated Software
Maintenance Services

Proactive Drift Detection

We implement automated drift detection that continuously compares live model performance against baseline benchmarks. When statistical drift crosses defined thresholds, we alert your team and initiate the appropriate response, whether that is retraining, recalibration, or a rollback.

Version Control and Model Registry Management

We maintain a structured model registry that tracks every version deployed to production, including performance benchmarks, training data lineage, and rollback checkpoints. This ensures that any version of your AI system can be restored quickly and reliably.

SLA-Backed Incident Response

Our maintenance engagements come with defined response time commitments. Whether an issue is a minor performance anomaly or a full production outage, we have escalation paths and on-call protocols that ensure fast resolution with minimal downtime.

Security Patching and Compliance Maintenance

AI systems accumulate technical debt and security exposure just like any other software. We apply timely patches across your model serving infrastructure, API layers, and supporting services, and maintain alignment with compliance requirements such as SOC 2, GDPR, and HIPAA as your system evolves.

Performance Benchmarking and Optimization Cycles

Maintenance is not just about fixing what breaks. We run scheduled performance benchmarking reviews that identify opportunities to reduce inference latency, lower cloud costs, and improve throughput without requiring a full re-architecture of the system.