skaills
Investors

Business plan

How skaills becomes a category-defining HR-transformation platform inside 36 months.

01 · Company

What skaills is, in operational terms

skaills is a SaaS platform delivered at skaills.ai with a multi-tenant data model, trilingual UI (es/en/fr), and an explicit two-layer product architecture. We sell to organizations (B2B SaaS) and to individuals (free + premium freemium). The platform is fully deployed and operational as of v0.21.x.

Legal vehicle and jurisdiction details are available under NDA. Founder is Carlos Miranda Levy; engineering and product execution to date is solo-founder accelerated by AI-native development workflows.

02 · Market

The HR-transformation market is the same conversation in every boardroom this year

TAM: Global HR-tech is a US$ 30B+ market growing 10%+ annually. The AI-HR subset is on a 25%+ CAGR.

SAM (serviceable available): SMB and mid-market organizations in markets where skaills has structural advantage — LATAM, Iberian Europe (Spain, Portugal), francophone Africa, US Hispanic-market HR. ~150,000 organizations, average $300/mo addressable spend = ~US$ 540M SAM.

SOM (serviceable obtainable, 3-year): 5,000 organizations at $200–500/mo blended ARPU = US$ 12M–30M ARR.

Why now: Three things had to be true at once. (1) AI models capable of absorbing mechanical HR (current generation: Claude / Gemini / GPT-4-class). (2) Empirical evidence that the AI transition is real and uneven enough to force the “what is our plan?” conversation at the CHRO level (Anthropic March 2026 paper). (3) A founder team that started building this 2+ years before the market needed it. All three converged in 2026.

03 · Product

Two layers, deployed, ready to monetize

The product splits cleanly into two layers that map to where AI absorbs vs. augments HR work.

Mechanical Layer (deployed)

  • hundreds of evaluation profiles across dozens of sectors and multiple levels · thousands of multilingual competency questions
  • Cognitive / personality (Big Five) / DISC / aptitude tests
  • CV Evaluator, Creator, Translator
  • Salary Aspiration Estimator (with CV auto-extraction)
  • Interview Simulator (multi-turn AI mock interview + recruiter decision + 3-track quality review)
  • Recruitment campaigns + candidate pipeline (full Position / Campaign / Candidate workflow)
  • Climate surveys · 360 reviews · job-fit scoring
  • ISCO-08 integration · HR-XML outbound webhook (partner-ready) · certificate issuance
  • Public job board · org public pages · talent pool · communities of practice

Transformative Layer (6 shipped · 4 pending)

  • ✅ Personal Growth Plan (12 / 24 / 36-month synthesis)
  • ✅ AI-Readiness Assessment (individual + organizational variants)
  • ✅ Career Path Navigator (3–5 plausible paths, ISCO-grounded)
  • ✅ Org Transformation Plan (CHRO-grade roadmap)
  • ✅ Scenario Simulators — live decision under pressure: Committee Defense (audit / investment / board), AML Triage, Cash Crisis, Variance Investigation, Skill Simulator
  • ✅ Smoother Experiences integration — sister platform (experiences.ailearning.global) surfaces sector/level/role-tailored learning programs on every assessment; orgs can spin up branded Custom Academies / Digital Learning Divisions with our catalog, their own programs, or both
  • ✅ Recruitment 7-step end-to-end (Define · Open · Score · Rank · Simulate · Prep · Decide — audit-logged and ISCO-mapped)
  • ✅ Unified Activity dashboard
  • ✅ Communities of Practice
  • ⏳ Mentor Matching · Skills Adjacency Map · Manager AI Co-pilot · Change Playbooks Library

Built around your criteria, your priorities, and your values.

Integrations and ecosystem

  • HRIS · ATS · Payroll & accounting
  • SSO & identity (Google / Microsoft / Okta)
  • Calendars & messaging (Outlook / Slack / Teams / Google)
  • Open APIs · webhooks · SCIM · SAML

Standards integration

  • ISCO-08 (ILO): Phases 1–4 shipped; HR-XML webhook live; cert verifiability in Phase 5.
  • ESCO (EU Commission v1.2.1): CSV bundles ingested for en/es/fr/pt; crosswalk seeder ready; UI attribution component pending.
  • O*NET (US DOL), SFIA, DigComp, GDPval, OWCI, OECD AI Observatory Index, OSWorld: research sprint underway; integration phased over months 1–12 post-raise.

04 · Business model

Subscriptions + transactions + premium · scaled per layer

Pricing tiers (indicative)

  • Free (individuals): personal evaluations, CV tools, growth plan, career paths, communities. Acquisition layer.
  • Starter (small orgs): US$ 199 / month. Up to 25 employees, core evaluation suite, recruitment basic.
  • Growth (mid orgs): US$ 499 / month. Up to 200 employees, full recruitment, 360 reviews, climate, org dashboards.
  • Scale (mid-large orgs): US$ 999 / month. Up to 1,000 employees, Org Transformation Plan, custom integrations.
  • Enterprise: custom pricing. White-label, HRIS integration, named CSM, SLA.

Add-on revenue

  • Premium AI features (ElevenLabs TTS, advanced model tier): +US$ 99–299/mo per org.
  • Certificate issuance: US$ 5–25 per credential issued (ISCO-stamped, verifiable).
  • Recruitment campaigns: US$ 199–999 per campaign or per-hire models.
  • Org Transformation Plan refresh engagements: US$ 5,000–25,000 per engagement (hybrid product + services).

Unit economics (target after month 12)

  • Average revenue per paying org: US$ 300/month
  • Gross margin: 75–82% (after AI provider variable costs)
  • CAC target: < US$ 600 (3-month payback)
  • LTV target: US$ 7,200 (24-month average tenure × $300)
  • LTV/CAC: 12× target

05 · Go-to-market

Three concentric circles, executed in sequence

Circle 1 — Direct LATAM partnerships (months 1–6). Skaills founder has standing relationships and community access across Caribbean / Central America / Andean region. The first 50 paying customers are landed via direct outreach + HR community partnerships in DR, Colombia, Mexico, Spain. Target: 50 paying orgs at $200 blended ARPU = US$ 10K MRR by month 6.

Circle 2 — Content + thought leadership (months 4–12). The skaills opinion library on Resources is the GTM moat: long-form articles that engage seriously with industry research (Anthropic exposure data, McKinsey/WEF reports, OECD AI capability indicators). These articles are SEO assets and credibility assets simultaneously. Target: 200 paying orgs by month 12 = US$ 50K MRR.

Circle 3 — Channel + ecosystem (months 9–24). Integrations with HRIS systems (BambooHR, Personio, Sage) and certification programs (university-issued professional certificates via ISCO-stamped infrastructure). Partner-led acquisition for the next 800 orgs. Target: 1,000 paying orgs by month 24 = US$ 250–300K MRR (US$ 3M–3.6M ARR).

06 · Financial projections

Conservative, base, optimistic — all derived from public unit economics

(See table below.) Conservative case discounts the base by ~40%; optimistic case includes enterprise wins and channel acceleration and lands at US$ 12–18M ARR by Year 3. All scenarios assume the current US$ 100–150K raise plus a likely priced Series Seed in 12–18 months from real ARR.

Year (post-raise)Paying orgs (base)MRR (base)ARR (base)Gross margin
Year 1~200US$ 50–60KUS$ 600–720K75%
Year 2~800US$ 200–250KUS$ 2.4–3.0M78%
Year 3~2,000US$ 500–650KUS$ 6.0–7.8M80%

Conservative case discounts above by ~40%; optimistic case includes enterprise wins and channel acceleration and lands at US$ 12–18M ARR by Year 3.

07 · Use of funds

18-month runway · the spend that turns a built platform into a category

  • 40% Product (US$ 40–60K). Layer-2 connective tissue (Mentor Matching · Skills Adjacency Map · Manager Co-pilot · Change Playbooks). ESCO + O*NET ingestion. Premium TTS and multimodal upgrades. Quality-of-life UX polish.
  • 20% Go-to-market (US$ 20–30K). LATAM HR community partnerships · pilot deployments with case-study commitments · content production · paid acquisition tests · CRM and outreach infrastructure.
  • 15% AI / infra (US$ 15–22K). AI provider API spend (Claude / OpenAI / Gemini / ElevenLabs); Firebase production scaling; observability and error tracking.
  • 15% Compliance + standards (US$ 15–22K). ESCO/O*NET attribution UI; ISO 27001 / SOC 2 preparation; certificate verifiability infrastructure (W3C Verifiable Credentials compatibility); legal/IP cleanup.
  • 5% Founders (US$ 5–7K). Modest below-market salary. The raise extends focus, not lifestyle.
  • 5% Reserve (US$ 5–7K). Contingency for acquisitions, opportunistic hires, unforeseen runway gaps.

08 · Risks and mitigations

The honest version of what could go wrong

  • Solo-founder dependency: mitigated by the raise itself (first hires are 2 engineers + GTM lead).
  • Long enterprise sales cycles in LATAM HR: mitigated by SMB-led GTM (Circle 1) before pursuing enterprise (Circle 3).
  • Generic AI-HR competitors muscling in: mitigated by the two-layer framing + standards depth (ISCO/ESCO native) + trilingual moat. Generic competitors retrofit; we started here.
  • AI provider cost spikes: mitigated by provider-agnostic abstraction + content-addressed caching + premium-tier-only gating of expensive features (e.g., ElevenLabs TTS).
  • Regulatory / labor pushback in some markets: mitigated by the editorial framing — skaills explicitly rejects both extreme positions and positions itself as the planning instrument, not the replacement instrument. Aligns with regulators' incentives.

Investment snapshot ·Closing Q3 2026

Post-MVP · pre-traction · trilingual platform shipped

Pre-money valuation
US$ 2,000,000
Pre-money valuation
Round size
US$ 100,000 – US$ 150,000
4.76% – 6.98% post-money equivalent
Minimum ticket
US$ 20,000
~0.99% post-money at the floor
Instrument
SAFE (post-money cap)
US$ 2.0M cap · MFN · no discount
Use of funds
18 months runway
Product · GTM · standards · infrastructure · reserve
Revenue model
B2B SaaS + transactions
Per-org subscriptions + per-credential + premium