Expert AI Engineering Services
From complex prototypes to scalable production systems. We are your dedicated partner for building and deploying robust AI solutions, with deep expertise in Google Cloud and Gemini models.
What We Engineer For You
Model Deployment & Optimization
Seamlessly deploy your custom or pre-trained models (including Gemini family) on Vertex AI, GKE, or Cloud Run. We optimize for latency, throughput, and cost efficiency.
Cloud-Native Integration
Integrate AI capabilities into your existing workflows using Google Cloud services like Pub/Sub, BigQuery, Cloud Storage, and Cloud Functions. Build event-driven architectures.
Performance Tuning & Scaling
Ensure your AI systems handle real-world load. We implement autoscaling, monitoring (Cloud Monitoring, Prometheus), and performance profiling to guarantee reliability.
MLOps & Automation
Establish robust MLOps pipelines using Vertex AI Pipelines, Cloud Build, or Kubeflow. Automate training, evaluation, deployment, and monitoring for faster iteration.
Cognitive Architecture Design
Design scalable and maintainable AI system architectures. We focus on microservices, API design, and choosing the right GCP components for your specific needs.
Custom AI UIs & Applications
Develop user-friendly interfaces (Chatbots, Web Apps) for your AI models using frameworks like Streamlit, Gradio, or custom frontends (React, Vue) integrated with your backend.
Data Engineering for AI
Prepare and process data for AI/ML tasks. Leverage Dataflow, Dataproc, and BigQuery for building scalable data pipelines, feature engineering, and data validation.
Multimodal & Generative AI
Implement solutions leveraging Gemini's multimodal capabilities (text, image, code, audio). Build sophisticated RAG systems, agents, and creative generation applications.
Security & Compliance
Build secure AI systems on GCP, adhering to best practices for data privacy (VPC Service Controls, IAM, KMS) and responsible AI principles.
Specialized in Google Cloud AI
We have deep, hands-on experience architecting, building, and deploying AI solutions specifically within the Google Cloud ecosystem. Our expertise includes:
- ✓ Extensive use of Vertex AI Platform (Training, Pipelines, Endpoints, Matching Engine)
- ✓ Fine-tuning and deploying Gemini Models (Pro, Vision, Flash) for optimal performance.
- ✓ Building serverless AI applications with Cloud Functions & Cloud Run.
- ✓ Leveraging Google AgentSpace™ concepts for building intelligent agents.
- ✓ Integrating with core GCP services like BigQuery, Pub/Sub, GCS, and Document AI.
Technologies We Master
Example AI Workflows on GCP
Select a workflow to see the typical stages and key Google Cloud services involved.
Why Sunholo for AI Engineering?
Bridge the Engineering Gap
We specialize in overcoming the complex technical hurdles that often stall AI projects, transforming your innovative ideas into production-grade realities, especially on Google Cloud.
Deep Google Cloud & Gemini Expertise
Leverage our extensive experience with GCP's AI stack and the Gemini family of models. Avoid common pitfalls and ensure your solution is built using best practices for scalability, security, and cost-efficiency.
Accelerated & De-Risked Deployment
Our focused expertise and reusable patterns (like those in our Multivac platform) mean faster time-to-market and robust, maintainable AI systems, reducing development time and operational risk.
Ready to Build Your Production AI System?
Stop wrestling with infrastructure and deployment complexities. Let our expert AI engineers implement your vision on Google Cloud.
Schedule an Engineering ConsultationGet in Touch
Discuss Your AI Engineering Needs
Schedule a free consultation to explore how our AI engineering expertise can accelerate your project and ensure a successful deployment on Google Cloud.
Email Us
multivac@sunholo.com