Desktop apps, SEC data-as-a-service, and canonical data models for algorithmic trading.
We show. We don't tell.
LLMs are useful for indexing, alignment, and detection. They're dangerous for compression—summaries, key takeaways, paraphrasing. When an AI tells you what changed, you can't audit it. When we show you where language moved, you can.
| What others do | What Matchstick does |
|---|---|
| "AI-powered insights" | Language-preserving diffs |
| "Key takeaways" | Analyst-controlled comparison |
| "Smart summaries" | Exact-word change detection |
| Trust the model | Trust the source |
Your compliance team can audit everything Matchstick does.
Choose the product that fits your use case:
| Product | Use Case | Format |
|---|---|---|
| Matchstick Events | Stream live SEC filings and insider trades | Desktop app |
| Radar DaaS | Analyze historical Form 4 data | Parquet, CSV, API |
| Data Model | Build on Matchstick's canonical schema | Protobuf |
