📐in production, private

Solar sizing and quoting tools

From a CFE electricity bill to a sized system and a client-ready proposal, for commercial (GDMTH) and residential tariffs.

Who it is for

Solar installers in Mexico who size by hand in spreadsheets and quote from vendor price lists.

What it does

Bill reader: digital text or OCR of the CFE bill, residential and GDMTH layouts, with the operator confirming what was read
Tariff engine for GDMTH (base/intermediate/peak, demand, regional tariffs by month) and residential DAC thresholds
Sizing by average, peak period or growth margin; sun-hour profiles per city; performance ratio; module and inverter catalog
Quoting with a single price engine, catalog refreshed monthly, exchange rate per quote, structure quantities imported from the vendor's calculator, USD/W sanity check
Client PDF in the firm's own format; proposal for GDMTH with financial scenarios

A similar build for you

Any business that quotes from a customer document — a utility bill, a drawing, a parts list — can get the same chain: read, confirm, calculate, propose, with one calculation core behind every screen.

Talk about your case Book a call →

How it is built

Python, pdfplumber + RapidOCR, Flask blueprints, SQLite, reportlab; the calculation core is shared between the sizing tool, the quoting tool and the public bill analyzer so numbers never disagree.

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