Kibu
Content, compliance, and EHR (Electronic Health Record) software platform built specifically for provider organizations serving people with intellectual and developmental disabilities (I/DD). It hel
Overview
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Pricing & monetization
sourced researchCompetitive landscape
not yet sourcedA category model places Kibu against its peers on pricing, take-rate and estimated ARR.
Social & community footprint
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The TeardownHQ playbook
premium · editorialHow Kibu Turned Free Zoom Fitness Classes Into a Medicaid Compliance Machine
A content wedge, a forced pivot, and the playbook for selling AI documentation software to America's most ignored healthcare buyer
- 01Executive Summary
- 02Part 1: The Product
- 03Part 2: The Founder
- 04Part 3: Market & Strategy
- 05Part 4: Growth & Financials
- 06Part 5: The Replicable Playbook
- 07Sources
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Executive Summary
Kibu is working because it ran the trust-first sequence that vertical SaaS founders usually skip. It entered the intellectual and developmental disability (I/DD) services market as a $20-per-month content product that staff and members actually enjoyed, used that footprint inside 30 to 40 provider organizations to hear the same complaint repeatedly (documentation software is clunky, outdated, and eats staff hours), then built an AI-native EHR and sold it back to an installed base that already trusted the brand. The wedge was content; the business is compliance. The causal mechanism is distribution borrowed from a low-stakes product to sell a high-stakes one, timed against a Medicaid documentation squeeze and a direct support workforce crisis that made labor-saving software a survival purchase.
The evidence: Stripe charge history (local TrustMRR snapshot, gross charges, not audited MRR) shows the average charge growing from $86 in 2022 to $1,348 in 2026, a 15.7x migration from consumer-priced content subscriptions to organization-level contracts. Gross charge volume compounded from $15k (2022) to $30k (2023) to $420k (2024) to $1.62M (2025), with $1.01M already booked by April 18, 2026. The company self-reports roughly 300 provider customers across 39 states as of January 2026 and a $5.1M seed led by GreyMatter Capital and Connecticut Innovations [10].
| Thesis component | Evidence | Confidence | Operator implication |
|---|---|---|---|
| Content was a Trojan horse for EHR distribution | Founders ran free virtual classes for 2+ years, then worked with 30 to 40 orgs on content before pivoting to documentation software (Hartford Business Journal, Jan 2026) [10] | High (self-reported, consistent with charge data) | Sell something cheap and loved before selling something expensive and mandatory |
| Charge data confirms consumer-to-B2B pivot | Avg charge $86 (2022) to $1,348 (2026 YTD); $20 charges dominate 2022 to 2023, $1k to $323k org invoices dominate 2024+ (local TrustMRR raw data) [19] | High (local TrustMRR data) | Your payment history is the cleanest pivot audit trail; watch ACV migration, not logo count |
| Timing: Medicaid documentation pressure plus DSP labor crisis | ANCOR 2024: 90% of ~500 surveyed providers report moderate or severe staffing challenges; 69% turned away referrals [16]. State VC arm: many providers "still using, in many cases, paper" | High (third-party survey plus investor statement) | Sell time-recovery software into sectors where labor cannot be hired at any price |
| AI made the product possible now, not in 2019 | Speech-to-note in 200+ languages, AI report generation; company claims some providers cut weekly documentation from ~200 hours to ~20 | Medium (self-reported claims; AI capability timing verified by product launch dates) | LLM cost collapse reopened every documentation-heavy vertical; pick one with audit-driven urgency |
| Incumbents structurally slow to respond | Main incumbent (Therap) is a 20+ year-old documentation platform; Kibu positions on mobile-first UX and built-in AI; no incumbent owns engagement content | Medium (inference from category structure) | Attack incumbents where their data model, not their feature list, is the constraint |
Confidence labels used throughout: verified (multiple independent sources or primary records), self-reported (company or founder statements), third-party estimate, local TrustMRR data (gross Stripe charges, explicitly not audited MRR), and inference (our reconstruction, formula shown).
6 more sections: the full teardown, sourced and dated.
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