AI & Data Engineering
We build AI and data infrastructure that turns your raw data into measurable business outcomes on AWS.
Expertise Offer
Data Foundation
Architecture and pipelines that ensures your data is clean, connected, and ready for AI.
AI & Machine Learning
Model development, fine tuning, and production deployment on AWS.
Generative AI
Bedrock integration, RAG pipelines, and LLM-powered product features.
Analytics & Insights
Real-time dashboards, and Machine Learning to keep models performing.
How We Work
Discover
We assess your data maturity, infrastructure, and business objectives to identify where AI and data engineering deliver the most value first.
Design
We architect the right AWS solution for your goals, validated with cost projections and a proof of concept before anything is built at scale.
Build
We deliver production-grade pipelines, models, and integrations with observability, security, and documentation included.
Evolve
We monitor performance and costs continuously, iterate on what's working, and scale the platform as your business grows.
Related AWS Services
Success Stories
Turning expertise into practical solutions and measurable outcomes.
Gen AI Case Study: AI Ticketing System for Content Support Operations
TrackIt built a GenAI-powered ticketing workflow using AWS Bedrock and serverless architecture, enabling automated ticket creation, smart routing, and Slack-based support to streamline internal content operations.
Optimizing Post-Production with Generative AI and Serverless Media Workflows
TrackIt uses generative AI and serverless AWS workflows to automate post-production tasks such as facial recognition, transcription, and metadata extraction, improving scalability, accuracy, and content processing efficiency.
Automating HS Code Assignment with Generative AI
TrackIt built an AI-powered system to automate HS code assignment, combining generative AI and customs data to improve classification accuracy, reduce manual effort, and streamline trade compliance workflows.
