Rigor, with receipts.

Business & Field Map

We're building ProvenanceAI with clear market positioning, competitive awareness, and transparent progress tracking.


Market Opportunity

The EdTech analytics market is massive:

  • Hundreds of billions globally (K-12 + Higher Ed combined)
  • Growing rapidly with AI interest
  • ProvenanceAI’s focus (making learning processes visible) addresses a real need for data-driven education

Our specific niche:

  • AI-native LMS + ProvenanceAI-based learning analytics
  • Not trying to replace Canvas, Blackboard, or Moodle
  • Building the missing layer: process visibility and growth measurement

Competitive Landscape

We've analyzed key players in the AI-augmented learning and learning-analytics space. Here's where we stand:

Direct/Adjacent Competitors

FeedbackFruits

Netherlands, 2012

What they do:

LMS-integrated suite for collaborative learning, peer feedback, social annotation

Positioning:

"Actionable learning analytics" for engagement insights

Traction:

200+ universities, 5,000+ educators worldwide

Team:

~100-200 employees, grant-backed early funding

Business model:

Institutional licenses (seat or course-based)

Flint

New York, 2023

What they do:

AI-powered K-12 platform for personalized learning, instant quizzes/exercises

Positioning:

"AI-native student analytics" for engagement and performance

Traction:

YC Summer 2023, pilots in NYC DOE/UNICEF

Team:

~14 employees (founders: Sohan Choudhury & Jinseo Park)

Business model:

Freemium → SaaS district licensing

Frizzle

San Francisco, 2025

What they do:

AI grading for handwritten math assignments

Positioning:

"Real-time feedback, waterfall to agile learning"

Traction:

YC Spring 2025, "Official White House AI Education Partner"

Team:

2 co-founders (Abhay Gupta & Shyam Sai)

Business model:

Free pilot → subscription or per-school contracts

Prenostik

Irvine, CA, 2023

What they do:

AI-powered 'learning coach' chatbot for college student success

Positioning:

Boosts engagement, retention via AI guidance and early interventions

Traction:

NSF-funded pre-seed, likely university/college pilots

Team:

Small (founder Patrick Hong, UC Irvine lecturer)

Business model:

Institutional subscriptions (likely SaaS)

Acorn

Vancouver, 2018

What they do:

AI-powered Performance LMS for enterprises

Positioning:

Learning + performance integration, auto-generated development plans

Traction:

Enterprise clients (not higher ed focused)

Team:

Established company (pre-AI boom)

Business model:

Enterprise licensing

PromptResponse: Our Intelligence Vehicle

We’ve built one of the first newsletters aggregating the latest news in AI higher ed developments, PromptResponse.

  • Direct marketing vehicle for ProvenanceAI product ecosystem
  • High-signal audience of early adopters and decision-makers
  • Future advertising and sponsorship revenue potential as subscribers grow

Our Differentiation

ProvenanceAI sits in the AI-augmented learning and learning-analytics layer (complementary to major LMS platforms).

What makes us different:

1. We're not trying to become "the LMS"

We integrate with Canvas, Blackboard, Moodle—not replace them

2. We measure distance, not output

Competitors focus on engagement, grades, or final artifacts. We track the journey: sources → prompts → drafts → revisions → MVP

3. Three Distance Metrics (proprietary)

Human Distance, Leverage Distance, Well-Being—no competitor measures all three

4. ProvenanceAI Path protocol (IP)

Our structured workflow is a unique pedagogical framework, not just a feature

5. Built for AI-native learning

We're designed for a world where AI is a partner, not a threat. Competitors are retrofitting pre-AI tools.

6. Higher ed focus with faculty-first approach

Most competitors target K-12 or enterprise. We're building with professors, for professors.


Discovery & Market Research Initiative

Launching:March 15, 2026
Duration:Through end of 2026

We're conducting comprehensive discovery to validate product-market fit and refine our positioning:

  • Client surveys and interviews (faculty, CTL directors, provosts)
  • Pilot feedback loops (real-time iteration based on classroom use)
  • Market segmentation analysis (institutional size, Carnegie classification, etc.)
  • Pricing model validation (pilot economics, institutional licensing)

Evidence-led Iteration

We’re living our learning philosophy: Learn as you grow.

We're being honest about what we know and what we're still figuring out.

This field map is a living document. As we gather more market data, we'll update our positioning and competitive analysis.

That's the ProvenanceAI way: Rigor, with Receipts.