Introducing Snap
After years of development and work with organizations facing complex data analysis challenges, we are ready to introduce Snap: our text-to-report platform powered by AI agents.
The problem we solve
Organizations today generate massive volumes of data — from internal databases to external information streams. The problem is not a lack of data. It is the ability to interpret it quickly and accurately, without inventing what is not known.
Analytical teams invest hours or days processing information, cross-referencing sources, and manually building reports. Generative AI systems promise to automate this, but hallucinate when they lack the data. Snap solves both problems.
How Snap works
Snap is a text-to-report platform with AI agents: you connect your data sources, ask questions in natural language, and specialized agents query real data to generate structured executive reports.
The process is simple:
- Connect your sources — databases, APIs, files, feeds
- Write your question — in any language you prefer
- Agents query — each agent accesses the relevant sources and extracts real data
- Receive your report — structured, exportable, grounded in real data, ready for decisions
Grounded in your data, by design
The key difference in Snap is that its agents are designed to avoid generating answers from memory — they query first. Every conclusion in a Snap report is backed by a real query to a real data source. If the information is not available, the report says so.
Privacy-First by design
Snap can run entirely on your own infrastructure. No data leaves your environment. This is not an added feature — it is the fundamental principle of the platform.
What's next
In the coming weeks we will publish more details about Snap's technical capabilities and real use cases. If you want to be among the first to try it, contact us directly.