Expert AI Engineering Services
Agents, RAG systems and document pipelines that ship. 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.
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 integrated with your backend.
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.
Gemini Enterprise Integration
For teams standardizing on Gemini Enterprise, Google's workplace agent platform, we deploy and configure agents against your own data and systems — connecting them to internal tools and bespoke data sources via MCP and native Google Cloud integrations, so a platform built for general workplace AI can also reach what's specific to you.
Common AI Engineering Roadblocks
If any of these challenges sound familiar, we specialize in solving them...
Your AI Demo Works, But Won't Scale
Your prototype is impressive in demos, but crashes under real-world loads or fails with edge cases. Users are interested, but you need robust engineering to handle production requirements.
Your Model is Slow in Production
Your inference times are too long for practical use, causing user frustration and increasing costs. You need performance optimization expertise to make your AI responsive.
Integrating AI With Existing Systems
You have a working AI model but can't effectively connect it to your company's databases, APIs, or workflows. You need seamless integration to deliver business value.
Technical Complexity Beyond Your Team
Your team has domain expertise but lacks specialized AI engineering skills. Every step forward leads to new technical hurdles you're not equipped to handle.
Struggling With Multimodal AI
You're trying to build applications that combine text, images, and other data types, but the engineering complexity is overwhelming your resources.
Document Processing Bottlenecks
You need to extract structured data from documents at scale, but your current solution is error-prone, requiring constant human supervision.
How We Transform AI Challenges into Success
Technical Assessment
We analyze your AI prototype, infrastructure, and business goals to identify specific engineering challenges and opportunities.
Architecture Design
We create a robust technical architecture tailored to your specific AI application, focusing on scalability, performance, and integration.
Engineering Implementation
Our expert engineers build the necessary components, optimize code, and implement best practices for production-grade AI systems.
Testing & Optimization
We rigorously test your AI application under real-world conditions and fine-tune performance to ensure reliability and efficiency.
Deployment & Knowledge Transfer
We deploy your solution to production and provide documentation and training so your team can maintain and extend it.
Where Your AI Edge Actually Lives
A way of reading any AI system — including yours. Two pillars are commodity. One is your data. One is the harness we build around it.
Unique data
yours aloneYour customers' prompts. Your domain knowledge. Your private corpus. The only thing competitors can't copy.
The model
commodityGPT, Claude, Gemini, Llama, DeepSeek, Qwen. Open weights, hosted APIs, drop-in swaps. Everyone has the same access — you, me, your competitor.
no edge here anymoreHarness & UX
your surfaceThe agent loop, the tool catalogue, the website, the chat interface, the eval harness. How your data and the model become a product.
the visible part of the moatAdapted from the keynote — Analytics for AI Agents
Real-World AI Engineering Success Stories
See how we've helped teams overcome their AI challenges
Legal Tech
Built enterprise RAG system processing terabytes of legal documents with multi-tenant architecture
View Case Study →Document Processing
Optimized document extraction pipeline: 16 hours → 20 minutes with 2x accuracy improvement
View Case Study →Education
GDPR-by-design AI teaching platform for the University of Copenhagen, built on our open-source AI Protocol Platform
View Case Study →Technical Expertise That Delivers
We leverage cutting-edge technologies to build production-grade AI systems
Ready to Bridge Your AI Gap?
Book a free 30-minute consultation to discuss your AI engineering challenges
Schedule Your Free Consultation
Decide what AI may do, what people must own, and what to build first.
Decision Budget turns one workflow into agreed rules, named owners and your first three build priorities. Use the specification with your own team or another supplier.
Get 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