Row Sight reads your real export — accounting, a CRM, an e-commerce or billing report, a field-service dump, or a sheet you keep by hand — asks a few quick questions about your business, proposes a plan you approve, then returns a clean, multi-section dashboard plus a downloadable audit workbook. Ask follow-up questions in plain English and every answer still traces back to your data. Built for the people who run the business, not just the data team.
| Date | Customer | Amt | Cat |
|---|---|---|---|
| 3/2/24 | Acme | $1,240.00 | |
| 2024-03-05 | acme inc | 980 | ops |
| #REF! | Beta LLC | 1,2k | Ops |
| 5-Mar | — | (420) | |
| 03/11/2024 | Gamma Co | 2200 | SALES |
Four steps. No formulas, no pivot tables, no black box.
Excel or CSV from the tool you already use — mixed date formats, blank cells, refunds typed as text and all.
It profiles your columns, asks a couple of plain-English questions, and proposes exactly what it will compute. Nothing runs until you say go.
= SUM(F2:F4183)↓A deterministic engine executes the approved plan. Identical on every run — the AI never types the number itself.
A clean, multi-section dashboard plus a downloadable audit workbook — every figure links back to the rows that made it.
Generic chart tools and CSV chatbots guess. Row Sight proves. Where Julius, Polymer, and Copilot for Excel stop, the audit trail begins.
= SUM(Ledger!H2:H4183)A snapshot of what Row Sight produces on every run — no black boxes, no numbers you can't defend.
Hover any figure to see the formula and the exact rows behind it. No number appears without a source.
A git-log of the whole analysis — every decision you made and every one the AI made, in order.
Row Sight reads the shape of your data first — column types, roles, and quality flags — before it plans.
Download an Excel workbook where every figure ships with its formula, source rows, and an assumptions log.
Not one chart at a time — a structured dashboard with KPIs, trends, and breakdowns you can actually present.
Keep asking follow-up questions after the analysis is done. Every answer still traces back to your data.
Hover any figure to see the formula and rows behind it. The Solution Trail shows every decision; the audit workbook ships it all in one file.
Revenue rose 8.4% through Q3, led by Wholesale at $540k. 12 rows were missing a category and were flagged in the Data Profile before totals were computed.
A solo founder, a logistics team, a nonprofit, an agency — if your answers are trapped in a messy export, Row Sight turns them into something you can defend.
Shipment, cost, and on-time metrics from carrier and TMS exports.
Turn a weekly ops or TMS export into a reconciled dashboard — no manual rebuild.
Revenue, margin, and category mix from Shopify or POS exports.
Close-ready numbers where every figure ties back to its source row and formula.
MRR, retention, and cohort views from a billing export — every number traceable.
Board and investor numbers you can defend line by line.
Clean, auditable rollups from claims or scheduling exports.
Pipeline and quota rollups from a CRM export, traceable to every deal.
Grant and donor reports funders will actually trust.
Channel and campaign performance from exported reports, cleaned and charted.
Job, revenue, and technician metrics from field-service exports.
Hand clients an auditable dashboard from whatever messy file they send you.
Enrollment and outcome reporting from a student-data export.
Honestly, I used to dread the Monday report. Now I drop in the export, sanity-check the plan, and it's done — and when someone asks where a number came from, I just show them the rows.The part that won me over was the audit workbook. Every figure has its formula and source rows sitting right next to it, so “where did this come from?” just stopped being a conversation.I've wrestled with the same messy export for years. First thing that handed me numbers back clean enough to put in front of investors without triple-checking every cell.I stopped stitching three exports into one cursed tab. Channel performance just shows up now, and I can see exactly which numbers came from where.Our quota rollup used to be a haunted spreadsheet nobody trusted. Now every deal inside the number is one click from its source row.Clients send me the ugliest files imaginable. I hand back a dashboard they can take straight to their board — with a trail behind every figure.Shopify export in, margin by category out. Best part is I can prove every figure the second my accountant starts asking questions.Grant reporting used to eat a whole week. Now the numbers tie back to the rows, and our funders actually trust what we send.On-time rate and cost per lane, straight from the carrier export — without me building yet another pivot table at 9pm.This is the part generic chart tools skip: definitions, exceptions, source boundaries, and reviewer-ready evidence.
Row Sight keeps the working set, reviewer notes, and presentation output distinct. You can explain the dashboard without dumping every raw row into the room.
People can review the evidence path without turning every meeting into a raw spreadsheet inspection.
Revenue, margin, churn, utilization, and region logic are not left as implied spreadsheet folklore. The chosen definitions travel with the result.
When two teams disagree, the conversation can start from the actual definition instead of reverse-engineering the chart.
The section earns trust by naming the weak spots: missing dates, duplicate IDs, negative quantities, text in currency columns, and outlier rows that deserve a second look.
A clean-looking dashboard is risky if the dirty rows disappeared silently. The exceptions stay visible.
A usable analysis can point back to source evidence without turning customer names, employee notes, or free-text fields into the main artifact.
The presentation can stay focused on decisions while the source file remains available for people with the right context.
Every defensible number needs more than a pretty chart. Row Sight keeps the formula, row range, assumptions, and exception notes close enough to answer follow-up questions fast.
Follow-up questions do not restart the analysis. The proof packet is already attached to the result.
An analysis is one upload or one file update. Both plans run the same engine and the same premium AI models — Pro raises the limits, nothing else changes.
Excel (.xlsx) and CSV exports from just about anywhere — accounting, a CRM, e-commerce or billing reports, an HRIS, a field-service tool, or a sheet you keep by hand. Mixed date formats, blank cells, and numbers typed as text are fine — Row Sight profiles and handles them.
The AI plans the analysis; real code computes it. Every figure traces back to its exact source rows and the formula that produced it, and ships in a downloadable audit workbook anyone can check.
No. It reads your file and records any assumptions it has to make — like an ambiguous “5-Mar” date — in an assumptions log. Your original export is never overwritten.
No. Ask in plain English, approve the plan Row Sight proposes, and get a structured dashboard. It's built for the people who run the business, not just data teams.
One upload or one file update. Follow-up questions, chart tweaks, and inline answers about an existing analysis are always free.
Each analysis runs in your own project space, behind your account, and every result stays fully auditable by you.
Bring one messy export. Get a clean dashboard and a full audit trail — in the time it takes to make coffee.