YAP Pakistan
Production-grade AI-powered KYC solution that has successfully onboarded 100K+ users through automated identity verification, face liveness detection, and biometric face matching.
Active Consultancy
Building AI Systems
That Actually Work.
We design and deploy production-grade machine learning models, computer vision pipelines, and data infrastructure for enterprise clients worldwide.
20+
Satisfied Clients
30+
Projects Delivered
60%
Compute Cost Reduction
100%
Validation Accuracy
10x
ROI for Clients
99.9%
System Uptime
Delivered Projects
Technical Competency
Six production-hardened engineering disciplines — from frontier LLMs and agentic systems to computer vision and enterprise data infrastructure.
01
Generative AI & LLMs
Custom fine-tuning, RAG pipeline architecture, prompt engineering systems, and production deployment of GPT-4o, Claude, Gemini, and open-source LLMs at enterprise scale.
GPT-4oClaude 3.5GeminiRAGFine-tuningLangChain
02
Agentic AI Frameworks
Multi-agent orchestration, tool-calling pipelines, and autonomous task execution using LangGraph, AutoGen, and CrewAI.
LangGraphAutoGenCrewAIMCP
04
Computer Vision
Real-time object detection, facial recognition, pose estimation, and edge-to-cloud CV deployments at production scale.
YOLOOpenCVONNXTensorRT
03
ML Engineering
End-to-end pipelines from data ingestion and feature engineering to model training, evaluation, and production serving with full observability.
PyTorchMLflowW&BTriton
06
AI Infrastructure & Vectors
Vector database design, semantic search, and embedding pipelines for retrieval-augmented applications at scale.
PineconeWeaviatepgvectorQdrant
05
Data Architecture & MLOps
Cloud data warehousing, real-time Kafka streaming, dbt transformations, and fully automated MLOps delivery pipelines across AWS, GCP, and Azure — enabling 200x faster data processing and 60% cost reduction.
SnowflakeKafkaAirflowdbtAWSBigQuery
Our Scoping Methodology
From initial telemetry mapping to running auto-scaling enterprise systems, we design, build, and scale customized AI capabilities.
PHASE 01
Discovery & Scoping
Week 1We assess your existing data, system architecture, and compute infrastructure. Our engineering team evaluates your workflows to identify high-ROI machine learning integration zones.
Key Deliverables
- ✓Feasibility Report
- ✓ROI Scoping Document
- ✓Tech Stack Architecture Map
PHASE 02
Architecture & Design
Weeks 2-3We design the complete system blueprint: from fine-tuning strategies and multi-agent systems to RAG ingestion pipelines and MLOps schemas.
Key Deliverables
- ✓Data Flow Blueprints
- ✓API Specifications
- ✓Compute Cost Projection
PHASE 03
MVP Sandbox Launch
Weeks 4-6We build and deploy a functional MVP sandbox in your environment. Core model pipelines are stood up, giving you real-time visibility into prototype accuracy and latency.
Key Deliverables
- ✓Functional Sandbox
- ✓Model Performance Metrics
- ✓User Validation Feedback
PHASE 04
Production Scale & MLOps
Week 7+We scale models to production grade. We set up auto-scaling GPU environments, continuous retraining triggers, vector database indexing, and automated data validation pipelines.
Key Deliverables
- ✓Production-Grade System
- ✓CI/CD Retraining Pipelines
- ✓Compute Optimization Dashboard
Enterprise Deployments
Every project below is live, validated, and serving real users at scale.
Backed by Results
See how world-class engineering teams leverage Datrex.AI to ship scalable models, robust pipelines, and optimize compute spend.
”
"Datrex overhauled our legacy recommendation matching engine. The compute optimization alone saved us over $140,000 in monthly AWS spend while improving search query latency by 4x. Their engineering rigor is unmatched."
SJ
Sarah Jenkins
Chief Technology Officer, Polycareers
”
"Their team designed and integrated a custom multi-agent orchestration layer that runs on local hardware. The throughput, precision, and latency exceeded our initial internal estimates. A phenomenal partner."
MC
Marcus Chen
Head of AI, Trueface
”
"We needed enterprise-grade real-time Kafka streaming and custom vector database clustering. Datrex built out the complete ingestion system in under six weeks with comprehensive telemetry and zero downtime."
DM
David Miller
VP of Platform Infrastructure, Lyftron
”
"Their team integrated a robust vector indexing pipeline with real-time catalog syncing. High semantic search accuracy and ultra-low query latency. Highly recommended MLOps specialists."
ER
Elena Rostova
VP of Engineering, Akru Now
”
"We offloaded our unstructured web scraping parsing models to Datrex. They designed custom extraction models that cut output validation failures by over 80%. A true life saver."
TW
Thomas Wright
Director of Data Science, SimpleScraper
”
"Datrex developed our transaction anomaly detection models. The complete model pipeline executes in under 15ms. Extremely responsive team and exceptional professional delivery."
AP
Amina Patel
CTO, YAP Pakistan
”
"Datrex overhauled our legacy recommendation matching engine. The compute optimization alone saved us over $140,000 in monthly AWS spend while improving search query latency by 4x. Their engineering rigor is unmatched."
SJ
Sarah Jenkins
Chief Technology Officer, Polycareers
”
"Their team designed and integrated a custom multi-agent orchestration layer that runs on local hardware. The throughput, precision, and latency exceeded our initial internal estimates. A phenomenal partner."
MC
Marcus Chen
Head of AI, Trueface
”
"We needed enterprise-grade real-time Kafka streaming and custom vector database clustering. Datrex built out the complete ingestion system in under six weeks with comprehensive telemetry and zero downtime."
DM
David Miller
VP of Platform Infrastructure, Lyftron
”
"Their team integrated a robust vector indexing pipeline with real-time catalog syncing. High semantic search accuracy and ultra-low query latency. Highly recommended MLOps specialists."
ER
Elena Rostova
VP of Engineering, Akru Now
”
"We offloaded our unstructured web scraping parsing models to Datrex. They designed custom extraction models that cut output validation failures by over 80%. A true life saver."
TW
Thomas Wright
Director of Data Science, SimpleScraper
”
"Datrex developed our transaction anomaly detection models. The complete model pipeline executes in under 15ms. Extremely responsive team and exceptional professional delivery."
AP
Amina Patel
CTO, YAP Pakistan
Our Engineering Leadership
Meet the engineers and leaders designing, optimizing, and deploying production-grade artificial intelligence.
Hassaan Malik
CEO & AI Consultant
Specializes in Generative AI systems, LLM fine-tuning, image processing analytics, and scoping consultation.
Naeem Khan
Senior Machine Learning Engineer
Over 5 years of experience deploying object detection, tracking models, RAG pipelines, and PyTorch networks.
— ENGAGEMENT
Let's Build
Something Real.
Our core engineering team offers rapid architectural scoping sessions to evaluate your workflows and map critical ML integration zones.
Location
Lahore, Pakistan