The AI protocol revolution is here. We help you build modular, interoperable AI systems using MCP and A2A protocols—designed for change, not just features.
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Build AI systems that evolve without breaking. We engineer modular, protocol-driven architectures using MCP and A2A—so you can swap models, upgrade tools, and scale without massive rewrites.
See examples: Aitana, TagAssistant
Multivac
Protocol-native infrastructure for the AI agent economy. Multivac supports MCP and A2A out of the box, with modular microservices that let you swap any component without breaking your system.
Powers all our client solutions
Build powerful AI agents with Google's Gemini Enterprise (now generally available). We help you leverage the new front door for AI in the workplace with custom agents, no-code workbench, and seamless Google Cloud integration.
Contact us for custom integration
Build AI systems designed for change, not just features
The future of AI isn't about having the best chatbot—it's about building modular, interoperable systems that can evolve without breaking. Just like the web evolved from chaos to standards (HTTP, HTML, CSS), AI is entering its standardization phase with protocols like MCP and A2A.
Universal standard for connecting AI to tools and data sources. Released by Anthropic, MCP enables your AI to access databases, APIs, and file systems without custom integrations for each LLM.
Google's protocol backed by 50+ companies defining how AI agents collaborate. A2A allows agents to discover and coordinate tasks without knowing each other's internal workings—the foundation of an "agent economy."
Our approach to orchestrating AI systems: bounded creativity, iterative improvement, and measurement-driven optimization. Build agents that are predictable, replaceable, and continuously improving.
Many great AI ideas never make it to production because of technical hurdles. We specialize in taking promising AI projects that have stalled and getting them across the finish line.
Our team has deep expertise in AI engineering, cloud infrastructure, and production systems. You get the benefit of enterprise-grade AI deployment without having to build that capability in-house.
With our Multivac platform, we've already solved the common challenges in AI deployment. This means you can go from concept to production in weeks instead of months or years.
We start by understanding your AI project, current challenges, and business goals.
Our engineers evaluate your existing code and architecture to identify the most efficient path forward.
We create a tailored deployment plan using our Multivac platform and custom components as needed.
Our team handles the technical implementation while keeping you involved and informed.
We ensure a smooth deployment and provide ongoing support as your application scales.
Real-world impact from our AI engineering and platform solutions
Reduced contract research time from weeks to days with extreme RAG capabilities and multi-channel AI assistants.
AI-powered Google Analytics and GTM automation with "Tessa" assistant. Currently in private beta.
Optimized pipeline reduced processing from 16 hours to 20 minutes with improved accuracy.
Whether you're struggling with a prototype or looking to scale an existing AI application, we can help you overcome technical hurdles and get to market faster.
Schedule a ConsultationContributing to the AI ecosystem with tools and research
We believe the best AI tools are built in the open. Our open-source projects—AILANG (an AI-native programming language) and the Sunholo Python library—represent our commitment to making AI development more accessible and transparent.
These aren't side projects—they're the same production-grade tools we use for our clients, shared with the community to accelerate innovation for everyone.
AILANG: AI-native programming language with browser-based REPL
Schedule a free 30-minute consultation to explore how we can help you deploy your AI application.
multivac@sunholo.com