Kashi — 10-page English pitch deck · v4 · 2026-05-30 · Inter · canon-locked · 0 forbidden hits.
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BRIEFING.html
01 / 10
Kashi
Before anyone
says a word.
Structural conversation analytics for the workplace · B2B SaaS · Japan
Justine Acaylar · Founder · 2026
02 / 10
The problem · what existing tools miss
Trouble in a team shows up long before anyone talks about it.
Resignations, conflict, and disengagement only surface after the damage is done. The early signs are visible months earlier — in how meetings actually run.
Every existing tool relies on what people say.
- Engagement surveys — depend on how honestly people put it into words.
- 1-on-1s & hotlines — records of issues that have already surfaced.
- Meeting AI — summarizes a single meeting; can't connect dots across time.
03 / 10
The insight · the solution
Kashi reads the shape of how a team talks — never the content.
Distress shows up in the structure of conversation, before anyone names it. A specific person's floor share drops. Their questions get no response. Their proposals are repeatedly deferred.
- Transcripts → structural features: turn timing, response latency, floor-share asymmetry, interruption direction.
- Raw content not retained past a short TTL.
- 30 / 90 / 180-day comparison · role-based reports · not used for individual evaluation.
04 / 10
The product · three views, bounded by role
What you see depends on your role. By design, not by promise.
Executives
Cross-team view — which teams need attention now.
Managers
Manager Mirror — your own team's structure, mirrored back to you.
Members
Your own participation pattern — never anyone else's.
Shown
- Team-level structural change
- Long-term pattern shifts
Not shown
- Meeting content · individual scores
- Emotion or mood inference · HR decisions
05 / 10
Why now
Three forces converging — at the same moment.
Loss
- Rising turnover cost
- Taishoku-daiko (resignation-agency) services — itself a signal of invisibility
Obligation
- MHLW Power Harassment Prevention Law (パワハラ防止法) expanded to SMB in 2022
- ~3.67M Japanese firms now legally obligated
Regulation
- EU AI Act Article 5 restricts workplace emotion-recognition
- APPI (Japan privacy law) retention rules tightening
06 / 10
Differentiation · the moat is the architecture
Our moat isn't a feature. It's how the product is built.
- Content is not stored for evaluation.
- Patterns surface only across many meetings — single-meeting noise doesn't trigger anything.
- Each role's view is built into the data itself.
- No emotion, no sentiment, no voice-tone inference.
07 / 10
Where we are · the next six months
Pre-pilot. But it's running.
- Working deterministic analyzer · production demo tenant live
- 908 tests incl. determinism-lock · stress-tested at 50 meetings / 5,000 turns
- Wave 1: 28 discovery DMs · Phase 0 interviews underway · no paid PoCs yet
Months 1–2
Locate pain & buyer.
50 customer interviews.
Months 3–4
Does the output drive decisions?
Open 3–5 PoCs.
Months 5–6
Convert & prepare Seed.
3–5 paid + Seed prep.
08 / 10
Market · business model
Where we start. How we make money.
TAM
¥164.2B
Total (model)
SAM
¥57.5B
Serviceable (model)
SOM
¥720M
3-yr ARR target
- Initial market: 50–500-person, meeting-dependent SMBs in Japan, on Zoom / Teams / Meet, under MHLW obligation. Buyer = CEO / COO (not HR).
- Pricing ladder: Light Pilot ¥100,000 → Standard PoC ¥400,000 · 3mo → Enterprise Diagnostic ¥800,000+ annual.
09 / 10
Team
Justine Acaylar
Keio University · solo founder — product, code, sales, operations.
6 years on a multinational SMB board, watching dialogue break down up close.
Filipino-Japanese — exactly the multicultural dialogue Kashi is built for.
Initial concept collaboration: Haseru Ida (ICU, theoretical linguistics, non-executive).
LinkedIn · [paste LinkedIn URL here — see BRIEFING note]
10 / 10
Three asks & the closing line
Three asks of an acceleration partner.
- North-American market-fit validation — practitioner contacts to verify the structural angle with non-JP buyers.
- Large-enterprise PoC introductions — within the program's enterprise network.
- AI governance, privacy & legal review mentoring — refine the regulation-aligned posture for US & EU.
Japan first. Built to travel — to US and EU buyers.
"We never judge what your teams say.
We help them hear how they say it."