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MathPal vs Veridu

A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.

MathPal compared with Veridu
DetailMathPal logo MathPalVeridu logo Veridu
What it doesAI math solver that returns step-by-step solutions instead of just answers Verification for code your AI agent writes
StageStartup MVP
FoundedNot given Not given
Based inNot given US
Pricing modelFreemium Freemium
PricingFree Trial: one free solve without account. Pro: $7.99/month (billed annually $95.99, save $23). Premium: $199.99 one-time (first year of updates free). Free: $0, 20 free reviews per month on public GitHub repos, no card required. Solo: $25/month ($20/month billed annually), includes 20 reviewed changes per month, private repo access, full reviewer catalog. Team: $25/user/month ($20 billed annually, 3 seat minimum), 20 reviewed changes per seat mont
Key features
  • Drag selection around any math problem on screen
  • Full worked steps with problem restated
  • Works on PDFs, websites, Google Classroom, photos and scans
  • Explains in 21 languages
  • Solution appears in side panel next to your work
  • Solves in approximately 10 seconds
  • History and progress synced across devices
  • Recognizes handwritten math
  • Learning modes on web and iOS apps
  • Change-impact analysis showing callers, implementations, and removed code references
  • Two independent reviewers (Codex and Claude) with parallel verification and reconciliation
  • Five surfaces: MCP, CLI, Web, GitHub App, API
  • MCP integration for agent verification before commit
  • GitHub App for automatic pull request reviews
  • Grounded findings with file, line, and evidence for each issue
  • Per-review model selection on paid plans
  • No repository connection required; only files from the agent are read
  • Code review artifact retention and export
What makes it different
  • No retyping needed—drag a box around any problem
  • Problem is restated verbatim so you verify the AI read it correctly
  • Each part of multi-part problems gets its own worked section
  • Explanation language can differ from problem language
  • Teaches understanding rather than just providing answers
  • Checks code context outside the diff, not just the change itself
  • Dual independent reviewer reconciliation catches contradictions humans need to judge
  • Only grounded findings block; AI certainty is not enough
  • Does not train on customer code and never will
  • Integrates with coding agents before commit to catch issues early
Free planNot given Not given
Open sourceNot given Not given
PlatformsNot given Not given
Public APINot given Not given
Community votes00
DR (Domain Rating by Ahrefs)14 +2 (up) since last check2 no change since last check
Trust Flow (Majestic)191
Citation Flow (Majestic)1925
Referring domains (Majestic)9820

6 details filled in for both companies.

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