AI

XZG AI

EXcellence •Zenith •Growth • AI

Excellence at Scale. Zenith of Innovation. Growth through AI.

We help enterprises unlock measurable value from AI—faster decisions, automated operations, and governed deployments. XZGAI turns momentum into ROI with production-grade ML and responsible AI.

See Impact
  • 2–6 week pilots with clear KPIs
  • Bank/Insurance-grade governance
  • Cloud-native & vendor-neutral
  • Secure data, measurable ROI

Illustrative KPI: Revenue Index

Sample growth projection vs. business-as-usual. Replace with your metrics.

Advisory & Implementation Services

AI Value Mapping

Identify high-ROI use cases across the value chain; define KPIs and a 90‑day delivery plan.

ML Engineering & MLOps

Build secure data pipelines, productionize models, and automate monitoring at scale.

Model Risk & Governance

Policies, documentation, validation, and controls aligned with industry standards.

Reference Solutions

Real engagements summarized as quick reads.

Indoor RTLS with BLE + LSTM
Smart Buildings / IoT

Real‑Time Location Service using low‑energy Bluetooth beacons and LSTM models for people/asset tracking across large facilities (on‑prem & cloud).

  • Sequence modeling (LSTM RNN) to infer positions from beacon signals
  • Edge‑to‑cloud ingestion; multi‑tenant deployment patterns
  • Operational tooling to train/deploy hundreds of site‑specific models
Prod‑grade multi‑site rolloutEdge + Cloud
RTLSBLELSTMIoTMLOps
IoT Sensor Data Lake & Occupancy Analytics
Smart Buildings / Workplace Analytics

Designed and led a data lake + analytics platform for diverse IoT sensors; guided occupancy insights APIs and pipelines on AWS.

  • AWS Glue, Athena, Lambda, Lake Formation for governed access
  • Standardized occupancy APIs and feature store for analytics
  • Connectivity from edge to cloud; schema & lineage practices
Unified lake for sensor dataGoverned access
Data LakeOccupancyAWSGovernance
Risk Modeling Modernization
Banking / Risk

Migration from SAS to big‑data platform; enabled ML‑based risk prediction with shared Python/Spark toolkits and governance.

  • Designed/maintained production risk modeling applications
  • Built common Python/Spark modeling toolbox for the group
  • Explainability research: EBM, SHAP, GAMI‑NET, xNN, ALE
Platform shift to HadoopXAI workflow ready
Credit RiskHadoopSparkXAIMLOps
AI assistant
Transportation, Medical

End to end solution for building AI assistant for enterprise

  • Reference architectures for scale LLM at platform scale
  • Best practices for building RAG system,bridged product & data science
  • Migration guidance from traditional system to AI-powered automated solution
AI assitantAccelerated migrations
ChatBoxRAGLLM
Predictive Learning for Product Intelligence
Manufacturing

Led software & data science teams to deliver a cloud ML application for product intelligence; moved SaaS from private cloud to AWS.

  • Customer PoCs to validate predictive use cases
  • Architecture guidance; roadmap with product management
  • AWS migration using S3, EMR, Athena, EC2, Lambda, VPC
Private→AWS migrationProductized ML app
PLMAWSProduct IntelligenceCloud Migration
Computer Vision: Detection & Reconstruction
Medical, Manufacturing, Archaeology

End‑to‑end computer vision solutions covering image recognition/processing, object detection, and 2D/3D reconstruction for multi‑industry use.

  • Object detection, tracking, and semantic/instance segmentation
  • Photogrammetry & depth pipelines for 2D→3D reconstruction (multi‑view, RGB‑D)
  • Edge/cloud deployment with model optimization and QA workflows
Multi‑industry deployments2D/3D recon pipelines
Computer VisionDetectionSegmentation3D ReconstructionOpenCVPyTorch

Proven Impact

15 ms
Low‑latency scoring
10K+
TPS benchmarks
8–12 wks
Time‑to‑value

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