Intelligence that
learns, adapts,
and protects.
Shaeryl Data Tech builds AI and ML systems engineered for production — from predictive analytics and NLP to our AI Web Application Firewall that stops threats traditional WAFs never see.
End-to-end AI/ML services
From raw data to production-grade models — every layer of the AI lifecycle, handled.
AI Web Application Firewall
Our AIWAF learns your traffic fingerprint and blocks zero-day exploits, credential stuffing, API abuse, and sophisticated bots in real time — with minimal false positives and continuous adaptation.
Predictive Analytics
Turn historical data into forward-looking intelligence. Demand forecasting, churn prediction, fraud detection, and equipment failure models that drive confident business decisions.
Natural Language Processing
Sentiment analysis, document classification, named entity recognition, and enterprise chatbots powered by fine-tuned large language models tailored to your domain.
Computer Vision
Object detection, quality inspection, and real-time video analytics for manufacturing, retail, and security — deployed on edge devices or in the cloud.
MLOps & Model Deployment
CI/CD pipelines for ML, drift detection, automated retraining, and performance dashboards — keeping your models accurate and production-ready over time.
Intelligent Process Automation
Combine AI with workflow automation to handle document processing, multi-step decision-making, and complex tasks that rule-based systems cannot manage.
Built for enterprise, designed for results
Deep research expertise meets pragmatic engineering — AI that works in production, not just demos.
Domain-Specific Models
Fine-tuned on your industry data — not generic pre-built solutions sold to everyone.
Explainable AI (XAI)
Every prediction includes a human-readable reason — critical for governance and regulated sectors.
On-Premise & Cloud
Deploy on AWS, Azure, GCP, or your own private infrastructure — we support all environments.
Continuous Learning
Models that retrain automatically as your data evolves, staying accurate without manual intervention.
AIWAF — Performance at a Glance
Threat Detection Accuracy 99.7%
False Positive Rate < 0.3%
Model Update Cycle Continuous
API Attack Coverage OWASP API Top 10
Deployment Environments Cloud & On-Premise
Average Latency Added < 2 ms
Four phases from data to deployment
A structured methodology that delivers measurable AI outcomes — not just experiments.
01
Discovery & Audit
We assess your data landscape, define success metrics, and design a roadmap aligned to your business goals.
02
Model Development
Feature engineering, model selection, training, and rigorous validation with full explainability.
03
Integration & Testing
Embedding AI into your stack via APIs or SDKs, with security and performance testing throughout.
04
MLOps & Growth
Ongoing monitoring, retraining pipelines, and dashboards to keep your models accurate over time.
AI/ML questions answered
Practical answers about how our AI solutions work, integrate, and deliver ROI.
An AI WAF uses machine learning models trained on traffic patterns to detect and block threats — including zero-day exploits and sophisticated bots — that static rule-based WAFs miss entirely. It adapts continuously, cutting false positives while improving detection of novel attack vectors.
Our AIWAF can be deployed in as little as 48 hours. Custom predictive analytics or NLP projects typically take 4–12 weeks depending on data readiness, integration complexity, and customisation scope.
Not necessarily. We use transfer learning and synthetic data augmentation to build effective models even with limited initial datasets. We'll assess your data honestly during the Discovery phase.
We have deep expertise in fintech, healthcare, e-commerce, logistics, manufacturing, and government — with models trained on industry-specific data patterns.
Yes. All Shaeryl AI systems include Explainable AI (XAI) — every prediction includes a human-readable rationale, essential for regulated industries and internal audit requirements.