v2.0 · Updated 2026-05-13
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Synapi — Investor Deck
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01 · Title
Synapi
Measured mastery for the AI era.
Use AI. Don't become it.
Investor Deck · 2026
02 · The world changed
The shift

AI turned output into abundance.

The question moved from "Can this person produce the artifact?" to "What can they understand, remember, judge, and execute without outsourcing the hard part?"

2018 — 2026
Artifact volume × Human signal — the inversion
ARTIFACT VOLUME
SIGNAL PER ARTIFACT
10× 0.2× PUBLIC AI · 2022 INVERSION 10×+ 0.2× 2018 2020 2022 2024 2026 Signal collapses ↓ as volume explodes ↑
Before
Output was costly. Signal was the artifact.
After
Output is cheap. Signal must move to capability.
03 · The trust gap
The trust gap

The artifact got louder.
The human signal got weaker.

AI-ASSISTED OUTPUT
Polished essay · Portfolio · Interview answer · Working prototype
Looks credible. Took 30 seconds.
?

Schools

"Did the student understand the material?"
— Maybe
?

Employers

"Can this candidate actually do the work?"
— Maybe
?

Learners

"Do I actually understand this?"
— Maybe
One shared question · One market category
Proof of human capability after AI assistance.
04 · First pain is personal
Where the wedge begins

Producing more.
Trusting their learning less.

Learner
What AI gives
Fast explanations
Uncertain
Can I recall it later?
Worker
What AI gives
Faster shipping
Uncertain
What do I truly own?
Institution
What AI gives
Better-looking artifacts
Uncertain
Who actually understands?
AI helps me move faster, but I'm not sure I'm actually learning. — Representative learner sentiment, pre-launch

The wedge starts with the learner because that is where the evidence is born.

05 · Why now
Five forces converging

Proof is inevitable.

AI adoption

53%

Stanford AI Index 2026: GenAI population adoption in 3 yrs — faster than PC or internet.

AI in learning

95%

HEPI 2026: of students use AI in at least one way; 94% on assessed work.

Artifact trust decay

OECD

GenAI raises apparent performance without producing real learning gains.

Skill churn

39%

WEF: core skills change by 2030. BCG: 50–55% of US jobs reshaped by AI.

Institutional need

EU AI Act

Article 4 creates an AI-literacy obligation. McKinsey: trust evidence is now required.

PROOF LAYER
06 · The wedge
The daily question

"Do I actually understand this?"

Current tools answer adjacent questions. Synapi answers the one that matters.

Tool
Answers
Missing signal
AI tutorCan I get an explanation?Did it stick?
Notes appCan I organize info?Can I recall it?
CourseDid I finish content?Can I use it?
TestDid I pass once?Can I repeatedly demonstrate?
Synapi answers

Can I repeatedly demonstrate mastery over time?

Not a moment. Not a completion. A trajectory.

07 · Early pull
Pre-launch traction

The pain is already speaking.

Rednote engagement
0
Likes

The problem resonates publicly.

Beta requests
0
Comments

Users want a solution now.

Pre-launch signups
0
Conversions

Intent converted into action.

AI is useful for understanding, but afterward it is hard to remember what I learned.— Rednote user
Claude explained the concepts, but I forgot them quickly until I made it quiz me and turn the material into Anki questions. This app feels very similar to the learning path I built for myself.— Rednote user
08 · Product
What users actually see

From goal to Proof Card in one product.

synapi · workspace Live
New goal
What do you want to master?
Land an ML engineer role in 12 weeks
Add context · optional
PDF
Notes
Link
Course
Templates
Pass AWS SAA in 6 weeks
Prep PM interview at Stripe
Generate skill tree
1Capture intent
synapi · ML engineer · 12 weeks Synced
Skill tree · 42 nodes 14d left
8 of 42 mastered+3 this week
Linear Algebra Prob & Stats Calculus ML Basics Neural Nets SGD Optim. Backprop ← now Mastered 8 Active 3 Locked 31
Start practice
2Generate map
synapi · Practice Recording
Retrieval check 00:42
Backpropagation
Explain in your own words: why does backprop require a differentiable loss function?
Your answer · no AI hint
Because gradient descent needs a gradient, and a gradient only exists if the loss is
Skip rep
Submit
Session · rep 3 of 8
12 reps today · 87% acc4-day streak
3Practice
synapi · Mastery Verified
Mastery trajectory
Overall
84/100
+12 · 14d
Reps
347
28 this wk
Cognitive muscles
Retrieval92
Compression87
Synthesis81
Judgment76
Generate Proof Card
4Prove + share

Working prototype · iOS + Web · adaptive skill tree generated in under 60 seconds · BKT-style scoring with explicit uncertainty

09 · Product loop
The mechanism

Goal → map → reps → proof.

The user brings a goal and optional sources. Synapi returns a living map of what to practice next and what they can prove.

Goal

ML, design, interview

Skill map

Tree of dependencies

Practice reps

Spaced, targeted

Mastery score

Live trajectory

Proof Card

Shareable evidence

FEEDBACK · SCORE INFORMS NEXT REPS
10 · The core difference
Positioning

Tutors give answers.
Synapi tracks what survives.

Synapi measures four cognitive muscles:

RetrievalCan the user recall it?
CompressionCan the user explain it simply?
SynthesisCan they connect it to other ideas?
JudgmentCan they apply or critique it without the model?
11 · The Proof Card
A new portable signal

What you can actually do.

A Proof Card should not say "trust me." It should show:

What was tested How recently Across which contexts With what uncertainty Under what consent
Inputs

Skill scope · Evidence trail · Recency · Confidence / uncertainty

Receivers

Schools · Employers · Cohorts · Clients · Collaborators

Machine Learning Foundations
Proof Card · v2 · 2026-05-09
S
Retrieval
92/100
Compression
87/100
Synthesis
81/100
Judgment
76/100
42 checks · 18 sessions · 6 contexts ● VERIFIED
12 · Competitive landscape
Who else plays here

No one owns the proof layer.

Adjacent players each own one capability. Synapi is the only one that combines continuous measurement, longitudinal evidence, and portable proof.

Players
AI-native
scoring
Continuous
measurement
Longitudinal
evidence
Portable
proof card
Cross-source
any goal
Duolingo / Coursera / Khan
~
~
ChatGPT / Claude / Gemini
Anki / Quizlet
~
~
~
Brilliant
~
~
LinkedIn Learning
~
Synapi
Why not them

Incumbents own content, explanations, flashcards, or networks. None own the longitudinal mastery graph across goals, sources, reps, and proof.

Why not the marketplaces

LinkedIn, Upwork, Maven, Fiverr cold-start on trust. Without proof, a marketplace is a directory. Synapi builds trust first — marketplace is the reward, not the wedge.

13 · Sequencing insight
The compound

Training → trust → monetization.

1
Users train toward real goals
2
Synapi measures mastery
3
Users build proof histories
4
Cohorts / employers buy verification
5
Verified users become trusted supply
6
Marketplace becomes obvious
The same product compounds
Phase 1
Personal mastery system
Phase 2
Proof layer
Phase 3
Trusted opportunity network
14 · Business model
Revenue map

Revenue starts before the marketplace.

PHASE 1
Consumer Pro
PHASE 2
Proof packs
PHASE 3
Cohort dashboards
PHASE 4
Employer AI literacy
PHASE 5
Marketplace
Phase
Customer
Why they pay
1. Consumer ProAmbitious learners / buildersPersonal mastery trajectory
2. Proof packsJob seekers, students, creatorsDecision-ready evidence
3. CohortsBootcamps, creator schoolsShow real learning outcomes
4. EmployersTeams adopting AITraining, compliance, visibility
5. MarketplaceBuyers of verified expertiseTrust already exists
15 · Budget logic
Where the dollars come from

We upgrade existing budgets.

Not a new line item. A better proof layer inside money that's already moving.

Existing spend
Today's weak signal
Synapi upgrade
Learning platformsCompletionMastery trajectory
Exam / interview prepPractice volumeTargeted reps + proof
Cohorts / bootcampsCertificates and projectsEvidence-backed reports
Employer trainingAttendanceCapability verification
Hiring / screeningClaims and artifactsConsent-based proof history

First buyer: the learner who feels the pain. Larger buyer: the institution that must trust, report, hire, train, or certify that learner.

16 · Market sizing
The opportunity

A $580B stack — converging into proof.

TAM
$580B
SAM
$52B
SOM
$1.2B
TAM · Total addressable
$580B

Global learning ($400B by 2030) + corporate reskilling ($150B) + hiring & verification tech ($30B).

HolonIQWEF '25McKinsey '26
SAM · Serviceable
$52B

AI-era learners + AI literacy compliance (EU AI Act Art. 4) + cohort/bootcamp evidence + AI-aware screening.

205M Coursera usersEU AI Act5.4M GenAI enrolls
SOM · Obtainable (3-yr)
$1.2B

Consumer Pro ($20/mo × 2M high-intent learners) + Proof Packs + early cohort dashboards + 50 employer pilots.

~2% SAMBottom-up

Reaching $100M ARR requires ~0.2% of SAM. The category is being created — Synapi defines it.

17 · Market grounding
Inevitability stack

Proof of capability becomes infrastructure.

AI becomes default Artifacts become less reliable Skills change faster Institutions need verification Proof of human capability BECOMES INFRASTRUCTURE
Stanford AI Index '26AI is becoming a default interface.
HEPI 2026The next workforce is already learning with AI.
OECD 2026Performance can improve without durable learning.
WEF + BCGStatic credentials decay faster.
EU AI Act Art. 4Institutions need literacy and trust evidence.
Coursera Q1 '26205M learners — demand is already massive.
18 · Moat
Defensibility

The moat is evidence that takes time to earn.

Time-series data Context graph Evidence trails Integrity layer Consent layer Defensible proof graph TRUSTED IDENTITY

A marketplace can copy listings.

It cannot copy a year of trusted learning evidence: goals, sources, practice, mistakes, recall, synthesis, judgment, and proof over time.

19 · What we prove next
The next 8–12 weeks

The next milestone is the mastery → proof loop.

Activation

Goal → skill tree

Completion rate

First value

First practice

Session completion

Retention

Weekly active

Practice sessions / user

Scoring credibility

Calibration

Mastery check freq + feedback

Sharing loop

Proof Cards

Generation + share rate

Monetization

WTP signal

Pro · packs · pilots

Mastery trajectory (illustrative)
Synapi does not need to build everything. It needs to prove that mastery becomes proof users want to share.
20 · Roadmap
18 months

From prototype to category-defining.

Q3 2026Now
Closed beta + scoring validation
Goal → tree → first practice session shipped. Mastery scoring validated against held-out evaluation.
500 beta users
D7 retention > 35%
MAE < 0.15
Q4 2026
Consumer Pro launch
$20/mo subscription on iOS + Web. Public conversion test. First paid cohort signed.
5K paying users
12% free → paid
3 cohort LOIs
Q1 2027
Proof Cards GA
Public proof network. $49 one-time Proof Pack SKU. Sharing becomes the growth engine.
20K paying users
Share rate > 25%
Viral coef > 0.4
Q2 2027
Cohorts + Employer pilots
B2B2C dashboard for bootcamps. First three Fortune 500 employer AI-literacy pilots (EU AI Act).
8 cohort partners
$1M ARR run-rate
3 pilots signed
Q3 2027 · Series A
Verified supply + Series A
Marketplace-ready: verified users as trusted supply. Series A on mastery → proof → trust → revenue.
$5M ARR
2 employer contracts
Series A close
← Funded by $3M seed
Series A →
21 · Validation
Already working

Built fast. Validated already.

2nd Place
Hackathon · 2026
Love at Scale Hackathon
Wilson Sonsini Goodrich & Rosati·Palo Alto·2nd place
This may be the greatest thing since sliced bread. I tried using Synapi to help me understand a research paper. Thank you for making this!
AI Engineer · ClawCamp
This is sooo fun, such an effective and interesting platform for organizing personal knowledge system!
AlexiaEarly User
I found real value in the dialog and questions. I am a Socrates fan.
Frank C.UC Berkeley · Legal Studies
I can imagine college students becoming obsessed with this by constantly coming back and checking their skill growth and improving on it!
YunanEarly User
Helped me instantly recap and deepen my understanding — I can't wait to explore more fields!
卡卡Early User
The visualizations at the end blew me away — seeing my knowledge mapped out was incredibly motivating!
Y.Early User
I love this app, it's the ultimate brain-flex!
AttendeeClawCamp
22 · Closing
The horizon

Use AI.
Don't become it.

AI makes everyone faster
Speed becomes common
Human capability becomes scarce
Proof becomes valuable
Synapi

The scarce thing will be knowing what you understand, what you can do, and what you can prove.

Synapi is where goals become mastery, and mastery becomes trusted opportunity.