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AI Systems Designed to Last

We architect enterprise AI that connects to your data, scales with your team, and evolves with the technology. From multi-model platforms to document intelligence -- built for production, not just demos.

Our Services

Decision Budget

Decide what AI may do, what people must own, and what to build first. Turn one workflow into agreed rules, named owners and your first three build priorities.

  • Clear boundaries for AI decisions and human handovers
  • One specification for governance and engineering
  • Your first three build priorities, with acceptance criteria
  • Three-week engagement for one workflow
A working desk with a softly sketched seated employee.

AI virtual employee — Daneel

Hand over the work. Keep the decisions. Daneel is an AI virtual employee. They read, draft, file and chase, so your people can focus on the decisions only they can make.

  • Work within limits you agree and can change
  • A visible record of every action and refusal
  • Private by default, on your hardware or in a private seat
  • More responsibility as their record earns it

AI Engineering

From prototype to production-grade AI systems. We bring software engineering rigour to AI—building modular, testable architectures using MCP, A2A, and OpenAPI so your AI investments compound instead of crumble.

  • Agentic AI: orchestration, cognitive architecture, tool use
  • Protocol integration: MCP, A2A, OpenAPI
  • Multi-model: Claude, Gemini, GPT, and open-source
  • Production deployment and scaling

Your AI Platform

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.

  • Native MCP & A2A protocol support
  • Event-driven microservice architecture
  • Multi-cloud: GCP, Azure, AWS
  • Framework agnostic - Langchain, LlamaIndex, CrewAI, OpenAI and more

AILANG: Trustworthy AI Code

AILANG is a functional language designed for AI coding agents. Explicit effects, capabilities and contracts make generated code easier to inspect, replay and repair.

  • Explicit effects describe file, network and AI operations
  • Capabilities constrain a program’s authority
  • Contracts make requirements checkable
  • Structured execution traces support inspection and repair

The Protocol Revolution

Build AI systems designed for change, not just features

The future of AI isn't the best chatbot — it's modular, interoperable systems that evolve without breaking. MCP and A2A are AI's HTTP.

Model Context Protocol (MCP)

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.

Agent-to-Agent (A2A)

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."

Cognitive Design

Our approach to orchestrating AI systems: bounded creativity, iterative improvement, and measurement-driven optimization. Build agents that are predictable, replaceable, and continuously improving.

"Build for change, not features." Every AI component needs to be independently replaceable, like swapping batteries rather than rewiring your house.
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Why Work With Us

We get stalled AI projects to production.

Multivac has already solved the deployment, scaling and integration problems. You get enterprise-grade AI without building the team to support it — concept to production in weeks, not quarters.

  • Ship in weeksAccelerated time-to-market
  • Secure by defaultAuthentication and data protection built in
  • Scale without reworkPrototype through production
  • Bridge idea and implementationMove stalled projects across the finish line
  • Technical depth on demandEnterprise engineering without the learning curve
  • Framework freedomLangChain, LlamaIndex, CrewAI and more
Connected architectural pavilions illustrate a modular production platform built on shared foundations.
Connected components. Shared foundations. Room to evolve.

Client Success Stories

Real-world impact from our AI engineering and platform solutions

Try It Yourself: Live AI Demos

See our AI engineering in action. Every demo runs in your browser -- no sign-up required for WebAssembly demos.

Document Intelligence

AI-powered extraction, WASM-based parsing, and Z3 contract verification -- all running client-side.

Streaming & Voice AI

Real-time streaming with SSE, WebSocket audio, and voice-powered document interaction via Gemini Live.

Contract-Verified AI

Z3 theorem prover meets AI: contract verification and safe agent tool calling with mechanical guarantees.

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Ready to deploy your AI solution?

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 Consultation

Open Source & Research

Two projects you can inspect, run and make your own.

Build AI systems you can understand.

AILANG gives AI-generated code clearer boundaries. Explicit effects describe what a program can do, capabilities constrain its authority, and contracts make requirements checkable.

AI Protocol Platform is an open foundation for connected agents, bringing a web interface, Google ADK orchestration and shared protocols together.

Decision Space Explorer illustrating how effects, contracts and limits narrow the paths through a program.
Decision Space Explorer: an illustrative model from the AILANG presentation.

Recent Thinking

A few of the latest posts and what's next on stage

Latest Post

Introducing Sunholo's new employee: R. Daneel (The R stands for Robot)

Meet Daneel, Sunholo's new virtual employee: a licensed Google Workspace identity with its own mail, Drive and GitHub accounts, onboarded through Decision Budget trust rungs and…

Read Post →

Also Recent

Managing a model menagerie: choosing from Sol, Fable, Terra, Opus, Qwen, DeepSeek, GLM, Gemini

A practical framework for choosing among AI models - cloud, open-source and self-hosted - using bounded vs unbounded tasks, latency, cost, quotas and your own evaluations, plus…

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Talks & Podcasts

AI Engineering, Protocols & Trust

Conference talks and podcast appearances on AI engineering, the Multivac platform, and building production-grade AI systems.

See Talks →
More on the Blog All Talks

Get in Touch

Ready to discuss your project?

Schedule a free 30-minute consultation to explore how we can help you deploy your AI application.

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Email Us

multivac@sunholo.com