AILANG × sunholo.com

Enterprise organizations and developers seeking production-grade AI infrastructure and document intelligence solutions.

Sunholo provides enterprise-scale AI engineering and software infrastructure focused on modularity and production reliability. Its offerings include the Multivac platform for agent orchestration, AILANG Parse for high-fidelity document extraction, and an AI-native programming language designed to provide mechanical guarantees for AI-generated code across various cloud environments.

Model Context Protocol (MCP) Agent-to-Agent (A2A) AILANG Multivac Document Intelligence Cognitive Architecture

What AILANG Parse sees on sunholo.com

Structural extraction — the same content an AI agent would consume from this page.

37 headings10 images8 lists0 tablesHTML parsing by AILANG Parse

37 headings

AI Systems Designed to Last Our Services AI Engineering Your AI Platform AILANG: Trustworthy AI Code The Protocol Revolution

10 images

8 list items

Services Case Studies Demos AILANG Parse Vision Talks Agentic AI: orchestration, cognitive architecture, tool use Protocol integration: MCP, A2A, OpenAPI Multi-model: Claude, Gemini, GPT, and open-source Production deployment and scaling Native MCP & A2A protocol support Event-driven microservice architecture

Show the full extract — what AILANG Parse pulled from this page

*Header:*
[Image: Sunholo Logo]

Sunholo

[Sunholo](index.html)

- Services
- Case Studies
- Demos
- AILANG Parse
- Vision
- Talks
- Blog
- Workshops
- Contact

NEW

AILANG Parse is live -- Stop parsing photos of your documents. Read Office XML directly. 93.9% on OfficeDocBench.

[Try it free](/ailang-parse/)

# 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.

[Explore Services](#services)

[Try Live Demos](/ailang-demos/)

[Get Started](#contact)

## Our Services

[Image: Sunholo Logo]

### 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

[Learn More](ai-engineering.html)

See examples: Enterprise AI, Aitana, Document Processing

[Image: Sunholo Logo]

Multivac

### 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

[Learn More](ai-platform.html)

Powers all our client solutions

[Image: AILANG Logo]

### AILANG: Trustworthy AI Code

Close the trust gap in AI-generated code. AILANG is an AI-first programming language with a type system, effect system, and verification that gives AI-authored code mechanical guarantees -- the same certainty your infrastructure already has.

- Deterministic execution -- same input, same output, every time
- Effect boundaries visible in types prevent hallucinated operations
- Works with Claude Code, Gemini CLI, and other AI coding agents

[Try AILANG](https://ailang.sunholo.com)

AILANG Parse (SaaS) | Live Demos | Case study | Open source

##  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.

[Read Our Blog](/blog/)

[Listen to Podcast](https://storage.googleapis.com/sunholo-public-podcasts/The_Protocol_Wars__Why_Your_Custom_AI_Is_Failing_and_How_New_St.mp4)

## 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.

See how →

## Client Success Stories

Real-world impact from our AI engineering and platform solutions

[Image: AILANG Parse - Universal Document Parsing]

[Image: AILANG Parse]

AILANG Parse

SaaS

Document AI

### AILANG's First SaaS: Universal Document Parsing

Stop parsing photos of your documents. Read Office XML directly -- track changes, merged cells, and comments preserved. Free in-browser demo, no account required.

93.9% OfficeDocBench

Free in-browser

[AILANG Parse
SaaSDocument AI
AILANG's First SaaS: Universal Document Parsing
Stop parsing photos of your documents. Read Office XML directly -- track changes, merged cells, and comments preserved. Free in-browser demo, no account required.
 93.9% OfficeDocBench Free in-browser](case-study-ailang-parse.html)

[Image: Aitana Custom Assistant Builder]

Aitana

Legal Tech

Green Energy

### AI Platform for Green Energy Legal Work

Reduced contract research time from weeks to days with extreme RAG capabilities and multi-channel AI assistants.

Weeks → Days

Higher Quality

[Aitana
Legal TechGreen Energy
AI Platform for Green Energy Legal Work
Reduced contract research time from weeks to days with extreme RAG capabilities and multi-channel AI assistants.
 Weeks → Days Higher Quality](case-study-aitana.html)

[Image: Enterprise AI Platform]

Global Manufacturer

Enterprise AI

Manufacturing

### Enterprise AI Platform: Chatbot to Production in 16 Weeks

AI assistant with Microsoft 365 integration and multi-model intelligence -- serving 12,000+ employees across 40+ countries.

16 Weeks

12,000+ Staff

[Global Manufacturer
Enterprise AIManufacturing
Enterprise AI Platform: Chatbot to Production in 16 Weeks
AI assistant with Microsoft 365 integration and multi-model intelligence -- serving 12,000+ employees across 40+ countries.
 16 Weeks 12,000+ Staff](case-study-enterprise-ai.html)

[Image: Document Processing Pipeline]

Document Extraction at Scale

Document AI

Automation

### Document Processing: 48x Faster

Optimized pipeline reduced processing from 16 hours to 20 minutes with improved accuracy.

48x Faster

10x Savings

[Document Extraction at Scale
Document AIAutomation
Document Processing: 48x Faster
Optimized pipeline reduced processing from 16 hours to 20 minutes with improved accuracy.
 48x Faster 10x Savings](case-study-document-processing.html)

##  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.

[Document Extractor](/ailang-demos/extractor.html)

[DocParse](/ailang-demos/docparse.html)

### Streaming & Voice AI

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

[Voice DocParse](/ailang-demos/streaming/voice_docparse/index.html)

[Claude Chat](/ailang-demos/streaming/claude_chat/index.html)

### Contract-Verified AI

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

[Z3 Verify](/ailang-demos/verify.html)

[Safe Agent](/ailang-demos/streaming/safe_agent/index.html)

[View All Demos](/ailang-demos/)

## 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](#contact)

##  Open Source & Research

Contributing to the AI ecosystem with tools and research

### Building in Public

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.

[Explore Our Projects](open-source.html)

[Read Our Blog](/blog/)

[Image: AILANG Interactive Playground]

AILANG: AI-native programming language with browser-based REPL

##  Recent Thinking

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

### Latest Post

AI: Give me the freedom of a tight brief

What AI agents actually demand from you — a framework for delegating decisions, not just tasks.

[Read Post →](/blog/ai-freedom-tight-brief)

### Also Recent

Don't ask the AI what it was thinking

The AI's explanation of itself is a performance, not a transcript. The good news: you don't need it. Action-level observability gives you a better paper trail than humans ever…

[Read Post →](/blog/dont-ask-the-ai)

### Next on Stage

Programming Languages for AI, Not Humans

Keynote at IDA Driving AI 2026 — Copenhagen, May 27. Why AI's programming languages should be different from ours.

[See Talks →](presentations.html)

[More on the Blog](/blog/)

[All Talks](presentations.html)

## 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.

✉️

#### Email Us

multivac@sunholo.com

#### Connect With Us

[Connect With Us](https://www.linkedin.com/company/sunholo/)

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*Footer:*
### Services

- Agentic AI Support
- Multivac Platform
- AILANG
- Our Process
- Workshops

### Company

- Our Vision
- About Us
- Contact
- Blog

### Case Studies

- Aitana (Legal Tech)
- Document Processing
- Open Source

### Resources

- Live Demos
- Documentation
- API Reference
- Blog
- Presentations

### Stay Updated

Get the latest AI deployment tips and Multivac updates at our LinkedIn page.

#### Connect With Us

[Connect With Us](https://www.linkedin.com/company/sunholo/)

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© 2025 Holosun ApS. All rights reserved. | Privacy Policy

sunholo.com scored 10/10 on portable. AILANG opportunity is therefore 0/10. Here's where it would land first.

One std/ai, five LLM vendors

The same call() function runs against Anthropic, Google, OpenAI, OpenRouter, or local Ollama. Switch providers with a one-character diff, not a refactor.

let answer = call(
  prompt = userQuery,
  model  = "claude-haiku-4-5"
  -- model = "gemini-2.5-flash" — also works
  -- model = "gpt-5.1-nano"     — also works
);

Structured output, portable across providers

callJson(prompt, schema) maps to each provider's native structured-output primitive — responseSchema for Gemini, response_format for OpenAI, forced-tool for Anthropic. Your schema, their plumbing.

let result = callJson(prompt, intentSchema);
-- same AILANG code, four different provider paths underneath.

OpenRouter routing with replayable resolution

Reach SOTA open-source models through OpenRouter; the resolved model ID is logged so the eval is replayable months later, even if the upstream router has moved on.

call(prompt, model = "openrouter/meta-llama/llama-4-405b");
-- the eval harness pins the exact resolved model ID.

How this page was made

func sketchSite(url: string<pii>, topic: Topic) -> Sketch ! {Net @limit=1, AI @limit=5, FS @limit=4, Process, Declassify}

Read your site once. No second fetch, no crawl.

Up to five AI calls, capped. No runaway analysis.

Four file writes. The report, the topic index, the rubric breakdown, the queue ack. Nothing else touched.

Process invokes docparse for structured extraction. The capability is visible in the type.

Your URL crossed Declassify. No PII survives into this page.

Signal	Topic	Result	Points	AILANG primitive
agent.json referenced	agent-ready	✗	0/2	ailang serve-api generates A2A agent cards automatically
openapi.json referenced	agent-ready	✗	0/2	ailang serve-api generates OpenAPI 3.1 from Hindley-Milner type signatures
MCP endpoint referenced	agent-ready	✓	2/2	ailang serve-api --mcp-http exposes typed functions as MCP tools
Public API docs linked	agent-ready	✓	2/2	ailang serve-api hosts Swagger + ReDoc at /api/_meta/ by default
Named LLM provider mentioned	privacy	✓	1/2	std/ai + IFC labels — track and declassify customer data crossing the provider boundary
Third-party domains restrained	privacy	✓	1/2	Capability scoping — each Net call declares its endpoint in the effect row
Data residency / on-prem language	privacy	✗	0/2	Three-runtime deploy — same module runs in WASM (browser), Cloud Run, and native CLI
Single-vendor LLM language	portable	○	2/2	std/ai multi-provider — switch from Anthropic to Gemini to OpenAI without rewriting

The rubric that scored this page is open-source AILANG code — every signal extractor is contract-verified. View rubric →

AILANG×sunholo.com