Turn data into decisions

Prediction, optimization, computer vision, and NLP—engineered for measurable ROI.

Executive Summary

AakTeks delivers end-to-end AI systems—from data pipelines and model development to MLOps and business dashboards—so your teams make faster, smarter, and safer decisions.

Problems We Solve

Unpredictable demand, yield, and supply

Manual inspections and slow decisions

Data silos, poor visibility, low adoption

High cost of mistakes and rework

Difficulty proving ROI on AI projects

Solution Overview

Forecasting & Optimization
Demand/yield prediction, inventory optimization, pricing, and routing
Computer Vision
Quality inspection, safety monitoring, asset tracking
NLP & Conversational AI
Chatbots, document intelligence, sentiment analysis
Decision Intelligence
Risk scoring, recommendations, next-best action
MLOps
Model versioning, monitoring, drift alerts, CI/CD for models

Architecture Blueprint

1
Sources
ERP/CRM, sensors/IoT, apps, files/streams
2
Ingest & Store
ETL/ELT, data lake/warehouse, feature store
3
Model Layer
Training pipelines, experiment tracking, registries
4
Serving
Real-time APIs/batch jobs, event stream processors
5
Experience
Dashboards, alerts, chat interfaces, mobile/web apps
6
Ops & Guardrails
Observability, security, governance, access control

Security & Compliance

Security
  • • Encryption in transit/at rest, IAM, secrets management
  • • Privacy-by-design, consent & audit trails
  • • Model governance: explainability, bias checks
Compliance
  • • HIPAA/HL7 for healthcare
  • • GDPR-style privacy controls
  • • SOC2-style security controls

Implementation Timeline

Week 0–2: Discovery
Data audit, KPI baselines, success criteria
Week 3–6: Build
Data pipelines + initial model(s), pilot dashboard
Week 7–10: Harden
Model hardening, integration, user testing
Week 11–12: Go-Live
Training, MLOps & monitoring setup
Post-Go-Live
Optimization sprints and quarterly ROI reviews

KPIs & ROI

  • • Forecast accuracy, stockouts, wastage/defects
  • • Conversion/LTV, churn, cost-to-serve
  • • False positives/negatives, SLA adherence
  • • ROI lens: impact × adoption ÷ time-to-value
Sample Case

Challenge: Volatile demand & frequent stockouts

Build: Forecasting models + pricing engine + inventory automation

Outcome: ↑19% conversion, ↓23% stockouts in one quarter

Frequently Asked Questions

Ready to turn data into decisions?

Let's discuss your AI & Analytics needs.