AI & Machine Learning
AI & Machine Learning Engineering
Turn data into action. We build production-ready AI, computer vision, and ML systems that automate workflows, deliver predictions, and scale securely in the cloud.
- Model development & prototyping
- MLOps & production deployment
- Computer vision & sensor integration
- Cloud-scale inference & monitoring
Model Prototyping
Rapid experiments to validate signals and choose winning approaches.
MLOps & CI/CD
Automated pipelines for training, testing, and continuous delivery.
Computer Vision
Object detection, OCR, and custom CV systems for real-world automation.
Cloud Inference
Scalable, low-latency hosting on AWS with Docker & Kubernetes.
AI & Machine Learning Services
Litbylines builds and ships production-ready AI and ML systems—covering data engineering, model development, computer vision, and MLOps—so your team can deploy reliable intelligence into products and operations.
We focus on measurable outcomes: automated decisioning, anomaly detection, predictive insights, and scalable inference — all designed to integrate with your cloud and product stack.
Industry Challenges
Companies building AI/ML face challenges beyond model accuracy—production, data, and trust are equally critical.
- Poor data quality & labeling bottlenecks
- Model drift and lack of monitoring
- Integrating models with legacy systems
- Scaling inference cost-effectively
- Explainability, bias, and regulatory compliance
- Limited in-house ML engineering expertise
Our Solutions
Litbylines addresses the full AI lifecycle — from data pipelines to production monitoring and continuous improvement.
AI & Automation
Automate manual processes and embed predictive features into products.
Modern Software Engineering
Engineered, tested, and maintainable code for model-serving and APIs.
Cloud + DevOps
Kubernetes, Docker, and AWS patterns for resilient, scalable inference.
Custom Dashboards
Real-time metrics, model health, drift detection, and A/B experiment dashboards.
Key Features We Provide
Tech Stack
Why Choose Litbylines Technologies
- Practical ML experience that moves models to production
- Full-stack AI engineering—data, models, infra, and UX
- MLOps & monitoring to minimize drift and outages
- Focus on security, compliance, and model explainability
- Flexible engagement: project, team-augment, or managed ML
- Proven delivery for startups and enterprise use-cases
Use Cases
Ready to productionize ML?
Schedule a consultation — we’ll map a practical path from proof-of-concept to scalable AI in production.
Schedule a Consultation