The Problem
Your data isn't just text. It's invoices with tables. Product photos with defects. Documents with handwriting. Videos with important moments.
Traditional AI ignores all of this. You're stuck with manual processing, or expensive specialized tools for each format.
What Multimodal AI Solves
Modern AI models can see, read, and understand visual content—not just text. GPT-4V, Claude's vision, Gemini—they process images and documents like humans do.
What this enables:
- Document extraction: Invoices, contracts, forms → structured data
- Visual inspection: Product quality, damage detection, anomaly spotting
- Image understanding: What's in this photo? What's the context?
- Video analysis: Find moments, extract information, summarize content
The result: Data that was locked in images and documents becomes searchable, processable, actionable.
How We Help
We build systems that understand visual content:
- Document Processing: PDFs, scans, handwritten notes—all to structured data
- Visual Analysis: Product images, medical scans, technical diagrams
- Video Processing: Extract insights from hours of footage automatically
- Multi-format Pipelines: Combine text, images, and audio in unified workflows
We know which models work for which use cases—and where the limitations still are.