Netrasya Lens is Ctrl-F for every report your firm has ever written. Ask a plain question, get the answer with the exact source page cited — or a straight "it isn't in your reports," never a guess. It reads the dense tables generic tools mangle, and never sends a page to ChatGPT, Copilot, or any public AI.
14-day pilot on your own reports · fixed fee, credited to month one
then one flat monthly fee for the whole firm, never per seat
The permitted taking rate for Well W8 at the Erb Street well field is 10,474 m³/d[1], drawn straight from the allocation table.
When a principal retires, decades of which report, which site, which precedent walk out the door. Your archive is the only place that knowledge survives — if you can search it.
The knowledge is written down. Finding it is the problem.Copilot and ChatGPT were built for email and Office files — not 300-page ESAs and hydrogeological studies. Nested tables and logs come back wrong or unfindable.
Hunting one spec through a 500-page archive, or tracing a finding across years of past reports, eats senior time you can't bill back.
Feeding proprietary reports into ChatGPT risks confidentiality and PIPEDA obligations. Most firms simply ban it — and lose the productivity with it.
The retrieval engine isn't the point — these four are. It's why firms use this instead of pasting confidential PDFs into a public chatbot.
Point it at years of project files and data rooms — your reports, not the public web, and not just what happens to live in SharePoint.
You verify the answer instead of trusting it. And when something isn't in your documents, it says so — never a confident guess in a report you have to stamp.
Borehole logs, spec grids, lab tables, multi-column allocations — the structure your data lives in is preserved, where generic PDF tools flatten it into noise.
A dedicated, single-tenant environment we operate for you in Canada. Your documents are never sent to public AI, and never used to train a model.
Pick the fields you care about — a permit rate, a risk level, a lab result, a report date — and run them across your whole archive. You get one grid, one cited cell per report, and a CSV your team can work from. What used to be a junior opening twenty reports is one pass you can check cell by cell.
It finds and cites. It never writes your reports, and never does the arithmetic — so there's nothing to fabricate.
| Document | PTTW rate | Risk level | Report date |
|---|---|---|---|
| RMOW_Tier3_Ch19.pdf | 10,474 m³/dp.19 | Lowp.35 | 2025p.2 |
| Guelph_GGET_Tier3.pdf | 6,048 m³/dp.16 | Lowp.41 | 2024p.3 |
| Waterloo_SDWT_2025.pdf | —review | Moderatep.12 | 2025p.1 |
Hand over 5–10 of your densest project PDFs — the ESAs, hydrogeological and geotechnical reports, borehole logs, and spec sheets your current tools choke on.
We parse and index them in a dedicated, single-tenant environment in Canada. Nothing ever touches ChatGPT, Copilot, or any public AI service.
Ask in plain English, or pull a field across every report into a table. Every answer cites the exact page — and if it isn't in your reports, it says so.
The pilot is a fixed fee, agreed in writing before anything starts, and it's credited to your first month if you continue. After that it's one flat monthly fee for the whole firm — never per seat, never per page. We don't publish the number because a twelve-person shop and an eighty-person shop shouldn't pay the same. Tell us your team size on a short call and you'll have a figure in that call, not a proposal cycle later.
Copilot is good for email and Office docs, but it routinely flattens the nested tables and spec grids in technical reports, and it only sees what's in SharePoint — not your archives and data rooms. Netrasya Lens is built to preserve those layouts, and it's a flat fee for the whole firm, not per seat.
They could. But standing up the infrastructure, tuning the parsing for technical tables, and maintaining it is dozens of hours of senior time at a billable rate. We run the whole thing, managed and in Canada, for a flat monthly fee.
We're launching out of Kitchener, so you'd be one of our first local partners. That's exactly why I integrate your toughest documents myself during the pilot — so you verify the accuracy on your own reports, cited page by page, before you sign anything ongoing.
Your documents live in a dedicated, single-tenant environment we operate in Canada, and are never sent to any public AI service or used to train a model. If you don't continue after the pilot, they're deleted.
Yes. Access is set document by document, not all-or-nothing — so confidential client matters stay visible only to the people you choose, and every search returns only what that person is cleared to see.
We size the number to your team and your archive, so it's quoted on a 15-minute call rather than posted here. You'll have it inside that call.
We set the success bar together before we start — measurably cutting your team's document-search time over the 14 days. Hit it, and your pilot fee is credited toward your first month as we roll into the flat plan. Miss it, and we turn it off — you owe nothing further.
Netrasya Lens closes the gap between what AI tools promise on complex technical documents and what they actually deliver on a 500-page Environmental Site Assessment or a Tier 3 water budget.
We work directly with principals at environmental, geotechnical, and civil engineering firms — turning a firm's archive into its searchable, cited memory. Every pilot is run personally by the founder. I integrate your toughest documents myself.
Dhruv Parmar · Founder · Netrasya AI Inc.
Fifteen minutes is enough to see it answer a real question from a report like yours, cited to the page — and to hear what the pilot would cost your firm.
info@netrasyaai.caBased in Waterloo Region · Serving environmental, geotechnical & civil engineering firms across Canada