The browser is the
right runtime.
Every serious engineering tool in existence requires an installer, an admin password, a license key, a VPN, or a three-week procurement process. We think that's wrong.
Zero friction is a feature, not a compromise.
The first time a user reaches your tool is the most important moment you have. Every step between "I need this" and "I'm using this" is an abandonment risk. A browser-native tool eliminates every single one of those steps. Open the link. Start working. That's the entire onboarding flow.
This isn't a technical shortcut; it's a product philosophy. The browser is the most widely deployed, most consistently maintained, most security-audited runtime on the planet. Building on top of it isn't settling; it's choosing the best available infrastructure.
Your data never leaves your machine.
When you load a PDF into the extractor, manipulate a schematic, or reshape a dataset; none of that goes to a server. There is no server. All computation happens locally in your browser tab, in memory, under your control.
This is privacy by architecture, not by policy. We can't access your data because we never designed a path for it to reach us. That's the only form of data privacy that actually holds.
Open engine. Intelligent fuel.
The core manipulation suite; the Table Formatter Engine, the Schematic Engine, the PDF Extractor core; is open source under MIT. Fork it, embed it, self-host it, sponsor it on GitHub. It belongs to the community that uses it.
The intelligence layer is where the product lives. High-accuracy OCR, AI-assisted layout inference, automated extraction pipelines, bulk API access; these require compute infrastructure that costs real money to operate at scale. That's the product. That's what we charge for. This is the PostHog model, the Sentry model: open runtime, closed fuel.
What we're building.
A unified, browser-native environment for engineering data in any format. A PDF schematic becomes a live table. A live table becomes an editable circuit diagram. An editable circuit diagram exports back to structured data. The pipeline is multidirectional because engineering work is multidirectional.
We're not building three isolated tools. We're building one interconnected environment where every format speaks every other format; and where the AI inference layer, when it arrives, makes that translation instantaneous and accurate.