service: Ongoing Model Support & Optimization

Keep Your AI, ML, and GenAI Models Accurate, Secure, and Continuously Improving.   

Frame’s Ongoing Model Support & Optimization service provides a proactive, disciplined model management program designed for high-volume, mission-critical industrial environments. We ensure your AI investments remain reliable, safe, and valuable long after deployment.

We proactively detect when models begin to lose accuracy due to changes in equipment behavior, operating conditions, or data quality.

  • Performance & accuracy monitoring
  • Data drift, concept drift, and anomaly detection
  • Real-time alerts & diagnostics

Outcome: Issues detected early—before they impact operations.

Models stay aligned to current operating realities through ongoing updates and validation.

  • Scheduled retraining
  • On-demand recalibration
  • Validation against historical & real-time operational data

Outcome: Models remain accurate, trustworthy, and production-ready.

We maintain the full operational pipeline that keeps models healthy and compliant.

  • Versioning & rollback
  • Automated deployment pipelines
  • Evaluation for LLM hallucination, bias & safety
  • Traceability & audit-ready recordkeeping

Outcome: Operational AI that is secure, governed, and maintainable.

We ensure AI workloads run efficiently and economically across cloud and lakehouse environments.

  • Compute / storage optimization
  • Endpoint scaling & performance tuning
  • Optimization for vector stores, feature stores & pipelines

Outcome: Higher performance at lower cost.

For GenAI assistants and agentic systems, we keep enterprise knowledge fresh and accurate.

  • Refresh embeddings & semantic indexes
  • Update documents, manuals, logs & content stores
  • Optimize retrieval pipelines for speed & relevance

Outcome: AI that always reflects the latest knowledge.

With Frame’s Ongoing Model Support & Optimization, organizations gain AI systems that remain accurate, reliable, and production-ready long after launch.

By continuously monitoring performance, resolving issues early, and optimizing costs and models against real operating conditions, Frame turns AI from a one-time deployment into a durable capability—an engine that compounds value over time instead of degrading into shelfware.

We specialize in models deployed in plants, refineries, utilities, field operations, supply chains, and regulated environments—where reliability matters.

Support across Azure, AWS, GCP, Databricks, and hybrid environments.

Architecture, governance, and oversight stay onshore. Continuous monitoring and engineering support come from nearshore teams for high quality and cost-efficient scale.

We keep your analytics, ML, and GenAI solutions performing at their best—so they don’t become shelfware or stale prototypes.

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