Hand-drawn explainers
Sakkath.guru Investor presentation
Turning scroll time
into skill time.
AI-created courses in reel format that help students and professionals build career skills with visible learning time, credits and certificates.
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AS13 Tech Innovations Pvt Ltd · as13@as13.ai · Arun kumar Krishna
The problem
AI skills need continuous renewal
Tools keep evolving. Learners and institutions need affordable practice and current evidence.
Recurring cost
Subscriptions, practice environments and lab setup add up.
Beyond prompting
Automation and orchestration require security, controls and judgment.
Skills expire
Fragmented learning and weak habits leave curricula and evidence stale.
Hiring signal
Hiring needs evidence beyond a polished answer
AI-assisted interviews make the source and context of performance more important.
- Tool access
- Using an LLM does not establish independent reasoning or practical skill.
- Snapshot signals
- Resumes, certificates and a single interview reveal limited learning history.
- Hidden potential
- Applied work can surface capable people beyond familiar college or employer names.
Interview-copilot vendors advertise hidden guidance.
Product
The live learning app is the foundation
Presenter-led lessons
Illustrated comparisons
Curriculum
A focused curriculum with practical AI skills
Begin with cloud, DSA and cybersecurity, then add role-specific AI workflows.
Public cloud
- Architecture fundamentals
- Automation and operations
DSA
- Problem solving
- Reasoning and code review
Cybersecurity
- Secure AI use
- Privacy and access controls
Shared practice: critical thinking, reasoning, creativity and safe AI workflows
Initial track priorities and practical tasks are proposed. Catalog depth requires confirmation.
Our engine
The content factory keeps learning current
Topic + sources
Concept map
Script + quiz
Reel rendering
Quality check
Publish to app
Speed
Automated production with expert release checks.
Scale
Capital deepens priority tracks and funds refreshes.
Feedback
Learning gaps guide updates and new practice tasks.
Skill intelligence
Continuous skill intelligence starts with learning
A record of how skills develop can become more useful than a completion badge alone.
01
Acquire
- Concepts studied
- Versioned sources
02
Apply
- Quizzes and tasks
- Declared AI use
03
Improve
- Feedback and retries
- Comparable evidence
04
Retain
- Delayed rechecks
- Skill freshness
Learning history supports evidence only when assessments are valid and comparable.
Skill Passport
Skill Passport: a shareable evidence record
Proposed product. Learners share evidence of a specific skill, with scope and recency.
| Passport component | Evidence available to a reviewer |
|---|---|
| Skill + current level | Domain, task scope and confidence |
| Learning journey | Concepts acquired, feedback and improvement |
| Demonstrated work | Rubric score, work sample and review |
| Integrity context | Identity checks, AI-use rules and limitations |
| Freshness + sharing | Assessment date, rechecks and learner permission |
A verifiable credential checks an issuer assertion. Assessment design establishes the meaning of that assertion.
Employer path
Vetted hiring begins with a few employers
One role, 3–5 employers and 100–200 opt-in learners.
- 1. Define the role
- Employers agree job tasks, rubric and permitted AI use.
- 2. Review evidence
- Assess practical work and a live explanation or recheck.
- 3. Match with consent
- Share a role-specific Passport and record employer feedback.
Targets only. The employer makes hiring decisions after reviewing evidence and conducting its own checks.
Moat
The moat is trusted evidence accumulated over time
The content factory creates coverage. Assessment and employer feedback must earn credibility.
| Asset | What could compound |
|---|---|
| Content + skill graph | Approved tracks, prerequisites and refresh history |
| Longitudinal evidence | Application, improvement and retained understanding |
| Assessment reliability | Calibrated tasks, reviewer consistency and integrity controls |
| Employer validation | Role rubrics and feedback on evidence usefulness |
Market
India-first learning market with expansion potential
TAM — $101.9M annually
10.2 million STEM enrolments in Indian higher education × $9.99 annual subscription.
SAM — $25.5M annually
2.55 million initially serviceable learners, assuming 25% of the STEM student population fits our initial curriculum, language, access, and distribution criteria.
SOM — $99.9K annually
10,000 paying learners × $9.99 annual subscription, representing approximately 0.39% of the modelled SAM population.
Market entry
Cloud computing, DSA, cybersecurity, and practical AI skills. Expand into professional upskilling, institutional learning, and employer skill verification after validation.
Source: Ministry of Education, AISHE 2023–24 — 10.2 million STEM enrolments.
Business model
Learning revenue first, verification revenue next
Validate willingness to pay at each stage. The plan assumes no revenue offsets.
| Buyer | Offer to validate | Revenue hypothesis |
|---|---|---|
| Individual learner | Reels, quizzes and premium tracks | $9.99 annual |
| College / HR L&D team | Cohort tracks + readiness evidence | Paid pilot, then annual seats |
| Employer, later | Reviewed Passport + role shortlist | Verification / pilot fee to test |
Distribution
Distribution starts with college and employer cohorts
Founder-led selling, narrow role tracks and measurable buyer value.
- College cohorts
- Placement teams sponsor a role track and a readiness review.
- IT company teams
- L&D + engineering sponsors test practical AI / tech upskilling.
- Employer partners
- Hiring teams evaluate Passport evidence before wider matching.
Traction
A shipped product, with the next proof ahead
Live iOS and Android apps and an operating AI content factory
Live foundation
- Mobile learning app
- Automated content factory
- Existing lesson library
Measure now
- Activation and D30 retention
- Delayed skill recall
- Approved-unit cost
12-month targets
- 2,000 base / 5,000 stretch meaningful MAU.
- 3–5 employer partners
- 2 paid pilot conversions
- 150 approved lessons, calibrated assessments, and Skill Passport alpha.
What’s next
12 months to validate learning, Passport and hiring
Proposed plan from funding close. Each stage advances only after its evidence gate.
| Stage | Delivery | Evidence gate |
|---|---|---|
| 0–3 months | Telemetry, QA + one role rubric | Baseline learning and full unit cost |
| 3–6 months | 150 approved lessons, calibrated assessments, and Skill Passport alpha. | Calibrated tasks, D30 target ≥25% |
| 6–9 months | 3–5 employer pilot partners | 100–200 learners + rubric agreement |
| 9–12 months | Paid validation + cohort expansion | 2 paid pilot, 2,000 base / 5,000 stretch meaningful MAU. |
150 approved units is a scoped target. All growth, retention and pilot figures are targets.
Founder & execution
Founder-led product and technical execution
Team
Arunkumar (AK) Krishna
Founder, CEO & Tech / AI Lead
Ex-CISOEx-CTO
LinkedInFormer CISO and CTO, repeat founder with AI, Tech and security experience.
Funding
Bootstrapped
Built and launched on iOS and Android with founder funding.
Investment would accelerate
- Content quality + repeat learning
- Skill Passport + practical assessment
- College and employer pilots
Open to strategic investors and partners
Appendix
Appendix: a small hiring pilot with a decision
Proposed 6–8-week pilot after assessment and Passport readiness.
| Phase | Scope | Decision evidence |
|---|---|---|
| Weeks 1–2 | 3–5 employers, 1 role rubric | Agreement on useful evidence |
| Weeks 3–5 | 100–200 opt-in learners | Completion, consistency, integrity |
| Weeks 6–8 | Reviewed Passports + shortlists | ≥70% rubric agreement target |
| Commercial gate | Propose 2 paid pilots | Willingness to pay + delivery cost |
Suggested success thresholds are pilot targets.
Appendix
Appendix: generation cost is one part of cost
₹50–80 per scene, with 80–90% usable output.
| 90-second lesson model | Low | High |
|---|---|---|
| Approved scenes | 15 | 18 |
| Cost per usable scene | ₹56 | ₹100 |
| Generation per lesson | ₹833 | ₹1,800 |
| 150 lessons: generation only | ₹1.25 lakh (1500 USD) | ₹2.70 lakh (3000 USD) |
Excludes expert QA, scripting, refresh, hosting and staff.
Appendix
Appendix: trust is a product requirement
Proposed controls for fair, useful skill evidence and employer review.
- Assessment integrity
- Declared AI use, unseen tasks, practical rechecks and reviewer calibration.
- Fair evidence
- Job-related rubrics, accessible alternatives, human review and appeals.
- Learner control
- Permission-based sharing, scoped access and correction of records.
Repeated evidence adds confidence. No assessment system can guarantee fraud-free or unbiased decisions.
Appendix
Appendix: expansion after the first proof
A continuous skill intelligence platform is the long-term direction.
- Hiring expansion
- More role rubrics, vetted matching and college placement workflows.
- Workforce intelligence
- Skill freshness, internal mobility and employer learning tracks.
- Platform options
- Portable credentials, selective Web3 and a separate micro-drama experiment.
SAKKATH.GURU
Every scroll can build a career.
Join us in turning everyday screen time into a skilled, career-ready generation.
as13@as13.aiAS13 Tech Innovations Pvt Ltd