PixelPine Business Service
Operational AI Real-Time Intelligence Enterprise Performance
PixelPine focuses on two core capabilities: building tailored Generative AI solutions, and keeping them running reliably in production through specialized AI operations
Generative AI Implementation Services
We design and implement end-to-end Generative AI solutions tailored to your business workflows. From automated customer analytics to decision-support systems and workflow automation, our team builds models and applications that integrate smoothly with your existing stack. We work with cloud providers like BytePlus to provision secure, scalable AI infrastructure for your enterprise.
Exemple
- AI Chatbots for support, sales, and HR
- Agentic AI applications that can act across your internal systems
- Automated customer insights and analytics
- AI-driven workflow and document automation
We also work closely with BytePlus as a partner
Specialized Managed AI Operations (ML-Ops / DevOps).
Deployed models need more than a one-time launch. We provide retainer-based managed AI operations focused on monitoring, updating, and optimising your GenAI workloads. Our team helps ensure uptime, performance, security, and cost visibility across your AI stack. We can also embed AI programmers into your team to continuously fine-tune and improve your models as your data and requirements evolve.
Exemple
- Continuous monitoring of AI applications in production
- Model updates, retraining, and performance tuning
- Infrastructure and DevOps support on cloud environments
- Embedded AI programmer to maintain and enhance your models
Why Work With PixelPine
Enterprise focus
Designed for regulated, data-heavy environments, not toy demos.
Cloud-native
Built on cloud providers like BytePlus for scalability, security, and cost
End-to-end
From idea and implementation to long-term operations and optimization.
Augmented teams
Get access to specialized AI talent without rebuilding your org chart.
Our Delivery Framework
Discover
Understand your workflows, data, and business outcomes
Design
Architect the GenAI solution and infrastructure on suitable cloud platform
Implement
Build, integrate, and test your AI applications with real use cases.
Operate
Monitor, maintain, and continuously improve performance via ML-Ops/DevOps.