AI Solutions & Services

Empowering Intelligent Transformation

At Tracston, we help organizations build, deploy, and scale AI-driven solutions with a strong foundation in cloud infrastructure, monitoring, and model lifecycle management. Our expertise bridges data science, DevOps, and business strategy—ensuring your AI initiatives deliver measurable value from concept to production.

Our Core Capabilities – AI Infrastructure & Cloud Enablement

We design and implement AI-ready environments across Azure, AWS, and on-premise platforms.
Our engineers build secure and scalable compute clusters optimized for TensorFlow, PyTorch, and other machine learning frameworks, including GPU and container orchestration using Kubernetes.
We apply best practices in:

  • High-performance computing and data pipelines

  • Model training environments and MLOps

  • Cost-efficient GPU scaling and resource automation

  • Hybrid and multi-cloud AI deployment architectures

 

AI Model Development & Integration

Our data and AI specialists collaborate with your teams to create, train, and integrate LLMs, NLP systems, and computer-vision models for real-world use.
We offer:

  • Custom model design and fine-tuning (OpenAI, Hugging Face, TensorFlow)

  • AI agent and chatbot development for internal and customer-facing use

  • Integration of predictive models into enterprise systems and applications

Monitoring & Diagnostics for AI Systems

We provide end-to-end AI observability and diagnostics leveraging open-source tools like Prometheus, Grafana, and Elastic Stack.
Our monitoring framework includes:

  • Real-time LLM performance and latency tracking

  • Model accuracy drift detection and retraining triggers

  • GPU/CPU resource monitoring and anomaly detection

  • Automated issue diagnosis and remediation suggestions

LLM Operations & Governance

We help organizations implement LLMOps strategies that ensure models are not just trained but also governed and maintained responsibly.
This includes:

  • Continuous evaluation and bias detection

  • Security and compliance controls

  • Data versioning and lineage

  • Workflow automation and model explainability

Professional Services

Our cross-functional teams provide a full lifecycle of AI implementation services:

  • AI Strategy & Roadmap Design

  • Cloud AI Architecture & Migration

  • Automation & MLOps Pipeline Development

  • AI Monitoring & Cost Optimization

  • Training & Knowledge Transfer for Teams

Trusted Experience

Our engineers have designed and delivered AI and monitoring systems for major enterprises such as Amdocs, NICE Systems, and Imperva, as well as for innovative startups building next-generation AI solutions.