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Private beta

AI-native forecast operations

From submitted workbooks to a validated forecast snapshot

Cadere requests submissions in Outlook, checks each Excel workbook, prepares corrections for review, re-checks revisions, and rolls accepted inputs into a provisional snapshot.

Request a private pilotSee the workflow

AI-native operating model

  1. AI interprets contextWorkbook data, commentary, and account meaning
  2. Deterministic checksRules, thresholds, and evidence verify the facts
  3. FP&A decidesHumans approve what moves forward

Product previewIllustrative demo data

Provisional

Provisional forecast snapshot

Validated coverage 2 of 3
  • Entity AAccepted
  • Entity CAccepted
  • Entity BExcluded — correction in progress

Accepted inputs only · EBITDA 42.6M · Δ −9.6% vs last forecast

Founder background

Built from 10+ years in multi-market finance and FP&A

Previous experience at

  • TikTok
  • ABB
  • HARMAN
  • Molson Coors

Keep Excel. Keep Outlook. Remove the manual work between submission and roll-up.

Cadere works before your planning model.

The problem

The workbook arrived. The forecast still isn't ready.

Chasing submissions is the visible part. The real cost starts after the workbook arrives — received doesn't mean usable.

The chase

Requests go out by email. Versions multiply. Status lives in whoever replied last.

Then the manual work starts

  • Confirm the template and version.
  • Check the required inputs.
  • Investigate variances and weak commentary.
  • Send the correction, find the revision, and check it again.

The same checks, every cycle, while the roll-up waits.

How it works

One loop, run end to end

Cadere performs each stage. Your reviewers make the calls that matter.

Available in private beta

  1. Stage 1

    Request and receive

    Send requests through Outlook and receive the Excel workbook contributors already use.

    Outlook requestExcel workbook received

  2. Stage 2

    Interpret and validate

    Check the template, required inputs, variances, and commentary against the approved forecast setup.

    Workbook interpretedChecks runFindings created

  3. Stage 3

    Correct and re-check

    Prepare the correction for reviewer approval, then link and re-check the revised workbook.

    FindingCorrection preparedReviewer approvesRevision receivedRe-checkedback through the same checks

  4. Stage 4

    Roll up and export

    Update validated coverage and export a provisional snapshot from accepted inputs.

    Coverage updatedProvisional snapshotCSV / Excel export

Request a private pilot

The product

What your reviewer sees

Three views from the loop: the finding, the correction cycle, and the snapshot it protects.

Product previewIllustrative demo data

Review required

One decision needed

Large forecast variance · Entity B · FY27 Q1 forecast — July cycle

  • What changed: 42.0M → 26.0M (−16.0M / −38.1%)
  • Cadere assessment: explanation quality Placeholder (confidence 87%) — explanation quality only, never forecast approval
  • FP&A must verify: the commentary reads as placeholder wording — no concrete driver is named.
Baseline vs submitted
Baseline42.0M
Submitted26.0M
Evidence
Entity
Entity B
Period
M2
Submission cell
Revenue · C5
Threshold
±15%

Submitted commentary: “Updated based on latest outlook”

Final acceptance belongs to FP&A — Cadere does not accept forecasts.

Product previewIllustrative demo data

Correction cycle

Entity B · FY27 Q1 forecast — July cycle

  1. Request
  2. Submission
  3. Correction
  4. Revision
  5. FP&A review
  6. Validated

Cadere

Prepared the correction and re-checked the revision

Draft correction request · revised submission linked to this cycle · automated re-validation

FP&A

Approved the request and confirmed the explanation

Approved — ready to create in Outlook · explanation confirmed by FP&A

Validated48 rows checked · 0 blockers · 0 decisions left · 1 reviewed observation

Product previewIllustrative demo data

Provisional

Provisional forecast snapshot

FY27 Q1 forecast — July cycle

Built from accepted inputs only — 2 of 3 entities accepted; Entity B excluded pending re-validation.

2 / 3
Validated coverage
2
Included
1
Excluded
1
Active correction
  • Entity AAccepted
  • Entity CAccepted
  • Entity BExcluded — correction in progress
Provisional roll-up of accepted inputs by supported forecast line
LineAccepted totalΔ vs last forecast
Revenue128.4M−4.2%
COGS51.2M+1.1%
Operating expense34.6M+0.8%
EBITDA42.6M−9.6%

Provisional — based on accepted inputs; Entity B excluded from totals.Export: CSV · Excel

Trust architecture

AI for context. Deterministic checks for facts.

Cadere splits the work the way a careful reviewer would.

AI interprets context

Customer-specific templates, account labels, and commentary.

Deterministic checks verify facts

Numerical and structural checks run against explicit rules, with evidence attached to every finding.

FP&A decides

Reviewers approve corrections and control what enters the snapshot.

Every finding links back to its workbook, sheet, cell, value, and rule.

Where Cadere fits

Built to feed the planning stack you already use

Cadere turns incoming workbooks into validated inputs for the planning and reporting tools you already use — without replacing them.

Business-owner workbooksCaderePlanning and reporting stack

CSV and Excel export

Private pilot

Run one real forecast cycle with Cadere

Cadere is opening a small number of private pilots. Each pilot covers one real forecast cycle, one existing Excel template, and the complete request-to-snapshot loop.

A pilot fits teams that:

  • Recurring monthly or quarterly forecast cycles
  • Excel submissions from multiple business owners
  • Outlook-based requests and follow-ups

Pilot places are limited and arranged directly with the founder.

Request a private pilot