Run Data & AI with Enterprise-Grade Reliability
Operationalize data, analytics and AI with the engineering, automation and observability required for secure, resilient performance at scale.
Aptus Data Labs helps enterprises move critical platforms from deployment to dependable operations. We combine DataOps, DevOps, MLOps, LLMOps and AIOps with proactive monitoring and managed support to improve reliability, accelerate releases and continuously optimize production environments.
AI, Data & Cloud Operations Services
From production deployment to continuous optimization, we help enterprises operate complex Data & AI environments with greater speed, control and resilience.
Data Reliability & Analytics Operations
What this includes
- Monitor freshness, completeness, schema changes and pipeline failures against agreed service objectives.
- Trace upstream issues to affected reports, models and downstream workflows.
- Manage recovery, backfills and operational changes with documented ownership and response procedures.
MLOps, LLMOps & AgentOps
What this includes
- Version models, prompts, retrieval configurations, tools and agent workflows with controlled releases and rollback.
- Evaluate model quality, grounded responses, task completion and tool-use failures through defined tests and sampled production review.
- Manage drift, model updates, retraining where applicable, and agent failures through established response procedures.
Site Reliability & AI-Assisted Incident Response
What this includes
- Define service-level indicators and objectives for critical applications, platforms and AI workflows.
- Correlate logs, metrics and traces to support incident triage and root-cause investigation.
- Automate approved recovery actions through tested runbooks, with escalation for higher-risk changes.
Managed Operations & Support
What this includes
- Provide 24x7 monitoring and tiered L1, L2 and L3 support.
- Manage incidents, problems, releases and engineering escalations.
- Conduct health checks, capacity planning and continuous performance optimization.
Keep Critical Platforms Performing at Their Best
We help enterprises move beyond reactive support to intelligent, automated operations that improve reliability, accelerate innovation and reduce operational risk.
Accelerate Release Velocity
Automate build, test and deployment processes to move data, AI and application changes into production faster and more consistently.
Improve Reliability
Use observability, proactive monitoring and intelligent alerting to identify issues before they disrupt business operations.
Scale AI with Confidence
Apply MLOps, LLMOps and AgentOps to control the growing complexity of models, GenAI applications and autonomous agents in production.
Optimize Production Economics
Track cost per request, AI task or business transaction alongside latency and quality. Use production evidence to tune model selection, caching, capacity and workload schedules.
Operations Built for Data & AI at Scale
One Operating Model
We bring DataOps, DevOps, MLOps, LLMOps and AIOps together rather than managing each technology domain in isolation.
AI-Native Operations
Our approach extends production operations beyond traditional infrastructure to include models, foundation-model applications and intelligent agents.
Automation First
Reusable deployment pipelines, templates and automation reduce manual effort and improve operational consistency.
Built-In Observability
We instrument data, infrastructure, applications and AI workloads to provide visibility across performance, quality, usage and risk.
Enterprise Support
24x7 monitoring, SLA-driven support and engineering escalation help keep mission-critical environments secure and available.
Client Results
Featured Client Success Stories
AI-Powered SOP Rewriting Interface for Regulatory Compliance and Document Quality
Streamlined SOP Rewriting and Review Workflow
Improved SOP Quality and Readability
Audit-Ready Change Traceability
Foundation for AI-Enabled Regulatory Compliance at Scale
BI & Analytics Platform to Improve ADY% and Reduce Scrap in Telecom Manufacturing
50% Runtime Reduction (8 Hours to 4 Hours)
Enhanced ADY% and Scrap Reduction
Integrated Reporting with Real-Time Dashboards
Always-On Platform Support
Big Data & Analytics Platform Implementation for Enhanced Business Performance in Banking
100% to 300% Improvement in Query Performance
Migration of 700+ TB Across 12,000+ Tables
USD 15+ Million ROI from Phase 1 Implementation
99.6% SLA Achieved with 24x7 Platform Support
