Neuro · Knowledge Miner

Thousands of files. One cited answer.

Knowledge Miner digs through the file pile every team quietly ignores, thousands of exports, reports, packs and notes, answers plain-language questions in seconds, and attaches the exact source, file and page, to every claim.

Quick answer

Knowledge Miner answers questions across thousands of files and attaches the sources. It indexes reports, contracts, manuals and decks into a searchable corpus, answers in plain language with the page reference for every claim, and draws a chart when the answer is a trend rather than a sentence.

Capabilities

Read the data. Tell the story. Prove it.

Anomalies with judgment

Tells planned maintenance from real degradation

Any line can spike in a given week. Knowledge Miner checks each anomaly against context, schedules, history, related lines, before deciding whether it's noise or a genuine problem worth flagging.

  • Baselines learned per line, per store, per product
  • Explains a spike instead of just flagging it
  • Separates one-off events from a developing trend
The written answer

Written for leaders, not analysts

No pivot tables, no chart-reading required. The output is prose, what happened, why it matters, and what to do next, the way a sharp analyst would brief you in person.

  • A short narrative, not a dashboard to interpret
  • Recommended actions included, not left implied
  • Tone and length matched to whoever asked
Numbers you can check

Every claim quotes the data behind it

Nothing in the narrative is unsourced. Every figure traces back to the row it came from, so the team can trust the answer without re-running the analysis themselves.

  • Every claim in the report quotes its source figures
  • Reads directly from your live spreadsheet or export
  • No smoothing or rounding that hides the real number
Scheduled delivery

The report arrives before you ask for it

Set the cadence once, weekly, monthly, end of shift, and the answer lands in the inbox or channel the team already checks, without anyone having to remember to run it.

  • Runs on a schedule, weekly, monthly, or end of shift
  • Delivered to inboxes or dashboards, no manual step
  • Recipients and cadence configurable per team
Anomalies, surfaced

The dip gets a name, not just a flag

Operating margin slid for two months and nobody could say why. Insights traced it to a single vendor surcharge, billed twice, and showed the recovery on the same chart.

  • Anomalies checked against context before they are raised
  • The cause named, not just the deviation flagged
Asked and answered

One question, one answer, every source named

Ask why Northeast revenue dipped in May and the answer leads with the conclusion, then shows each driver, its impact, and the exact file every number came from.

  • The one-line answer first, the workings underneath
  • Each driver cited to the file and row behind it
The whole library

Board packs, ledgers and risk registers, one conversation

any team asks in plain language and the answer comes back cited, whether it lives in a board pack from January or a spreadsheet from last week.

  • Answers drawn from any of the 2,143 indexed files
  • Every answer names the document and page it came from
Always current

The numbers watch themselves between questions

Files indexed, questions answered and anomalies surfaced move on one board, and when the same invoice shows up under two vendors, the alert fires before the payment does.

  • Seventeen anomalies surfaced this quarter, each explained
  • Duplicate vendor invoices caught in the ledger, not the audit
The payoff

Quarter close in four days, not eleven

The gathering, hunting and drafting that used to eat the close now happen in minutes, so the days that remain go to judgment calls, not file chases.

  • Data gathering drops from days to minutes
  • The narrative arrives drafted and cited, ready to edit
The library

The library that answers back

board-pack-q1.pdf revenue-ne-may.csv vendor-ledger.xlsx margin-bridge.xlsx store-scorecards.pdf churn-review.docx promo-lift.xlsx deposit-flows.csv nps-summary.docx risk-register.pdf supplier-otif.xlsx plant2-downtime.csv scrap-by-line.csv energy-per-unit.csv fee-change-memo.docx board-pack-q2.pdf forecast-v7.xlsx capex-plan.pdf headcount-plan.xlsx churn-by-product.csv gac-plus-members.csv treasury-daily.csv fx-exposure.xlsx audit-notes-q2.docx minutes-2026-05.pdf vendor-invoices-apr.csv surcharge-analysis.xlsx occupancy-q2.xlsx revpar-outliers.csv wip-lockup.xlsx quarter-close-checklist.docx cash-position-w26.csv region-pnl-may.xlsx marketing-pacing.xlsx board-qa-log.docx retention-cohorts.csv
2,143 files indexed · every answer cites which one it came from
Plain language in, cited answer out

Ask it like a person

You ask

Why did margin dip in May?

One vendor, one surcharge. A freight surcharge landed twice in the April ledger and bled into May. Margin is already back on trend and the duplicate is recoverable.

vendor-ledger.xlsx · rows 214-215
You ask

What did we commit to the board?

Churn under 3% by year end. The Q1 pack made the commitment when churn stood at 3.4%. The May number is 2.9%, so the commitment currently holds.

board-pack-q1.pdf · p.12
You ask

Which vendor costs grew fastest?

One freight vendor, up 31% year on year. The same surcharge behind the May margin dip drove most of it. The next fastest vendor grew 6%.

vendor-ledger.xlsx · 12-month view
You ask

Are we pacing to the annual plan?

Slightly ahead on spend, on plan on revenue. Marketing sits at 54% of budget at the half-year mark against a 50% plan. Revenue is within 1% of plan everywhere except Northeast.

marketing-pacing.xlsx · H1

Works on messy real exports

No clean warehouse required. It reads the CSV or spreadsheet your systems already produce, headers and all.

Under 60 seconds to read

The whole report is a short brief, not a document anyone has to schedule time to get through.

Connects to live sources in production

Beyond the demo, it wires directly into your BI tool, spreadsheet or database for a report that's always current.

Who uses it

Every reader who needs the story, not the spreadsheet

Leadership

A weekly brief on what changed and what needs a decision, without opening a single spreadsheet.

Operations

Line, store or clinic-level anomalies explained with the context to act on them immediately.

Finance

Movement in revenue, churn or margin narrated with the exact figures behind every claim.

Plant & Store Managers

A daily or weekly read on their own numbers against the rest of the network.

The path

From file pile to cited answer in four moves

STEP 01

Index everything

Board packs, ledgers, exports and memos all land in one index, 2,143 files and counting, no cleanup or reformatting first.

STEP 02

Ask in plain language

Why did margin dip in May works exactly as typed, no query language, no dashboard hunting, no analyst in the loop.

STEP 03

See the evidence

Every claim carries the file it came from, down to the page or row, so trusting the answer never means re-running the analysis.

STEP 04

Chart it or ship it to the deck

Ask for the chart and it draws it on the spot, or send the cited answer straight into your deck as a finished slide.

Ready for your industry

The stories it finds, per industry

Works with
Try it in this industry →

See five weeks of data become a decision

The live demo digs through a fictional company library live, ask anything and watch the answer come back with its sources attached.

Try the live demo → Get in touch