2.9->3.6+0.7
AskSia walked through every joint distribution problem on my STAT110 set with marginals and conditionals derived cleanly. Stopped second guessing my conditioning direction.
AskSia for Probability2000+ universities
Probability AI: Conditional probability that
gets the conditioning right.
AskSia walks joint, marginal, and conditional distributions, runs Bayes' rule, and handles SOA Exam P and CFA Level 1 prob problems. Built for Harvard Stat 110, MIT 6.041, Berkeley Stat 134, and the probability courses every quant degree requires. Web, mobile, LMS extension, desktop.
+0.6 GPA in one term
average among weekly active users - 92% report better grades within 30 days
4.9 / 5 - 2M+ college students - 2000+ universities worldwide
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Quick Answer
Can AI help with Probability?
AskSia is the Probability AI for university students taking probability theory. Members report an average +0.6 GPA increase in one term. AskSia handles probability lecture transcription, multi-document Q&A across Probability, Joint Distributions, Markov Chains, Bayesian Probability, Stochastic Processes, SOA Exam P prep, AP Statistics probability, a 98%-accurate probability homework solver with worked diagrams, study guides built on the AskSia-Method, visual concept maps, FSRS flashcards calibrated for probability, adaptive Mock Exam quizzes, an AI essay writer with citations, and an AI-text detector. Surfaced across web, mobile (iOS/Android), browser extension (Canvas, Blackboard, Brightspace, Moodle, Everytime), and a native desktop agent for Mac and Windows. Used at 2000+ universities globally. Free for college students.
+0.6
avg GPA lift in one term
2M+
college students worldwide
2000+
universities covered
4x
surfaces - everywhere you study
Real outcomes
It's not the formula.
It's the conditioning.
Probability students lose points for conditioning on the wrong event, double-counting an intersection, or applying a formula that assumed independence when the variables were actually correlated. AskSia catches what your TA catches.
3.2->3.8+0.6
For Markov chains I dropped my problem set into AskSia. Got transition matrix analysis with stationary distributions walked through. Aced the long run behavior question.
3.0->3.7+0.7
The SOA Exam P practice questions AskSia generated matched item format. Auto graded explanations pointed out which distribution I had misidentified on the practice run.
Why AskSia
Lecture, problem set, exam review,
Stat 110 office hours.
Phone in section for a quick Bayes check. Laptop on the Stat 110 problem set. Extension pulling Blitzstein from your LMS. Desktop agent over your LaTeX proof at midnight. One probability library, four surfaces.
Web App
Where joint distributions get marginalized correctly
Drag Blitzstein, Ross, Bertsekas, your problem sets, and your professor's slides in. AskSia walks Bayes' rule, integrates joint distributions, and runs MGFs with proper notation.
Multi-doc Q&A across probability readings with page-level citations
Convert any probability source to Note, Map, Cards, Quiz
Real-time collaboration on shared probability maps
Mobile App
Conditional probability checks on the bus
iOS and Android. Photograph a Bayes problem, an MGF derivation, or your handwritten joint distribution. AskSia returns the worked solution with conditioning justified and the missed assumption flagged.
Snap-and-solve any probability problem
Live probability lecture record, transcribe, translate
Daily probability spaced-repetition review queue
Browser Extension
Probability syllabus, auto-synced
The Chrome extension adds a Sync button on Canvas, Blackboard, Brightspace, Moodle, and Everytime. Your probability syllabus, Stat 110 problem sets, and TA solutions pull into one library.
Works with all 5 major university LMSs
Read-only, never writes to your LMS
Probability module structure preserved, folders auto-built
Desktop Study Agent
Cmd+Space over your textbook, R, or Python
Native macOS and Windows. AskSia summons over your Blitzstein PDF, R for simulation, Python (NumPy/SciPy), or your LaTeX writeup. Reads your selection and returns the worked steps.
Global hotkey while studying probability
Reads your probability selection, screenshot, clipboard
Works offline after first launch
Everything in one place
12 study tools built
for college probability.
Stop juggling Symbolab for integrals, ChatGPT for Bayes (where it confuses P(A|B) with P(B|A)), Khan Academy for basics, and your TA's office hours. AskSia is one workspace grounded in real probability coursework.
Probability lecture transcription
Record your Stat 110, 6.041, or Stat 134 lecture. 40+ languages, sub-100ms latency, probability notation and LaTeX-ready output preserved.
OpenMulti-textbook probability Q&A
Drop Blitzstein, Ross, Bertsekas, your problem sets, and 80 PDFs. Ask 'what's the difference between strong and weak law of large numbers' and AskSia answers with page-cited proof.
OpenBayes' rule and conditioning walker
Walks conditional probability problems with conditioning event spelled out, partition theorem applied correctly, and Bayes' rule formatted in the convention your textbook uses.
OpenYouTube to probability notes
Paste any Joe Blitzstein lectures, 3Blue1Brown probability, or MIT 6.041 URL. AskSia transcribes, chapterizes, and pulls the worked problems into a clean note.
OpenProbability Mock Exam mode
Adaptive practice across Stat 110 patterns, SOA Exam P items, and CFA Level 1 quantitative methods. Auto-graded with rationale.
OpenSia Note for probability chapters
Turns Blitzstein chapter 9 (joint distributions) into one note: key distribution, properties, common derivations, exam-style problems with worked solutions.
OpenProbability proof writer
Drafts proofs in LaTeX-ready format in the structure your grader wants. Justifies every line of the law of total probability, inclusion-exclusion, and Bayes derivations.
OpenProbability flashcards · FSRS
Auto-built decks: named distributions (Bernoulli, binomial, Poisson, normal, exponential, gamma), MGFs, key theorems. FSRS spacing tuned to your exam.
OpenProbability concept map
The whole curriculum as a navigable tree from basic events through limit theorems. Each concept linked back to its Blitzstein chapter and lecture.
OpenAI tutor for probability
Voice-first or text. Walk through Bayes' rule three different ways, drill independence vs uncorrelatedness, or explain why the central limit theorem applies.
OpenAskSia Library
Trained on real coursework at
the world's top universities.
Browse by university, subject, or course. Every entry maps to curated study patterns for that program.
Showing 16 of 2000+ universitiesBrowse all universities
Showing 12 of 500+ popular courses
Compare
AskSia vs. ChatGPT, Quizlet,
Khan, Course Hero.
Other tools solve one slice of college. AskSia is the integrated workspace built specifically for your GPA.
| Feature | AskSia | ChatGPT | Quizlet | Course Hero / Khan |
|---|---|---|---|---|
| Built specifically for college coursework | Yes - 2000+ universities | General-purpose | User decks only | Crowd uploads / K-12 |
| Lecture transcribe + translate | Yes - Real-time, 40+ languages | No | No | No |
| 98%-accurate homework solver with diagrams | Yes - Step-by-step + visual | ~70-85%, hallucinates | No | Manual hints |
| Multi-document Q&A | Yes - 100 files, page-cited answers | ~10-20 files | No | No |
| FSRS spaced-repetition flashcards | Yes - Auto-built, 6 types | No | Manual | No |
| Adaptive Mock Exam | Yes - Auto-graded FRQ | No | No | SAT only |
| Browser extension for LMS pages | Yes - Canvas, Blackboard, Moodle | No | No | No |
| Native desktop agent | Yes - Global hotkey | Web wrapper | No | No |
| iOS & Android mobile apps | Yes - Snap-and-solve | Yes | Yes | Yes |
| Reported GPA improvement | Yes - +0.6 avg in one term | Not measured | Not measured | Not measured |
| Free for college students | Yes - No card required | Limited | Limited | Paid unlocks |
FAQ
Frequently asked
questions.
Can AskSia walk Bayes' rule problems correctly?
Yes. AskSia walks Bayes' rule with the conditioning event spelled out, partition of the sample space justified, and the formula formatted in the convention your textbook uses. Catches the prior-vs-posterior confusion that costs Stat 110 students points.
Does AskSia handle joint and conditional distributions?
Yes. AskSia walks joint, marginal, and conditional distributions, integrates over the right region, and runs MGFs to find expected values and variances. Strong on Blitzstein Stat 110, MIT 6.041, Berkeley Stat 134.
Will AskSia help with SOA Exam P?
Yes. AskSia generates SOA Exam P-style probability questions covering univariate and multivariate distributions, conditional probability, and risk management applications. Mock Exam mode times you in real Exam P conditions.
Can AskSia help with the CFA Level 1 quantitative methods section?
Yes. AskSia drills probability concepts as they appear on CFA Level 1: conditional probability, Bayes' rule, distributions used in finance, and risk-return calculations.
Is AskSia free for probability students?
Yes, AskSia is free for probability students to start, no credit card required. Free includes daily generation across all tools, unlimited library access, and the browser extension. AskSia Pro and Super unlock unlimited generation, full Mock Exam mode, free-response auto-grading at scale, priority models, and unlimited transcription minutes.
Which platforms does AskSia run on?
Four surfaces, all syncing in real time: (1) Web app at asksia.ai, (2) iOS and Android mobile apps, (3) Browser extension for Chrome, Edge, Brave, and other Chromium browsers, which adds Sync to AskSia on Canvas, Blackboard, Brightspace, Moodle, and Everytime, (4) Native desktop agent for macOS and Windows.
Does AskSia handle limit theorems (LLN, CLT) and convergence?
Yes. AskSia walks weak vs strong law of large numbers, central limit theorem applications, and modes of convergence (in probability, almost surely, in distribution). Strong on advanced undergrad probability.
Can AskSia help with stochastic processes (Markov chains, Poisson, Brownian motion)?
Yes. AskSia walks Markov chain transition matrices, finds stationary distributions, runs Poisson process calculations, and introduces Brownian motion for finance applications. Strong on intro stochastic process courses.
Is AskSia OK for probability coursework?
Yes. AskSia is built as a study aid that walks conditioning step by step. Used the way you'd use 3Blue1Brown or office hours, it falls within most departments' AI policies.
Start Today
Get the conditioning right. Every time.
Join the probability students at Harvard, MIT, Berkeley, Stanford, Cambridge, and 1500+ programs walking Bayes with AskSia. Free to start.
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