Tag is an AI-in-the-Loop document automation platform that puts people, not algorithms, at the center of the process. Unlike “black box” AI tools that generate entire documents from a single opaque prompt, Tag uses a transparent, “white box” approach—breaking complex tasks into smaller, targeted steps you can review, adjust, and reuse.

Documents in Tag are treated as mini workflows. Our no-code tools guide you through data collection, transformation, and generation with full visibility at every stage. AI is applied only where it adds value—extracting structured data from unstructured sources, transforming verified data into polished content, and assembling professional outputs in Word, Google Docs, fillable PDFs, or spreadsheets.

You stay in control of prompts, outputs, and providers. Tag is vendor-neutral, supporting multiple AI models (OpenAI, Anthropic, Google Gemini, Cohere) and allowing you to switch as needed. Built-in AI chains let you automate complex workflows—data extraction, analysis, content creation—while maintaining quality, brand standards, and accuracy.

Security and accountability are core to our design. Tag supports local data processing, masking of sensitive information before sending it to AI, and a full trace of information sent to and processed by the AI. You can start small, scale gradually, and preserve every prompt, template, and workflow as a reusable asset.

The result: predictable, professional documents—faster, with less effort—while eliminating AI hallucinations and keeping decision-making exactly where it belongs: with you.

nSymbol Technology Inc.

Org chart

Teams

Offices