ProvenanceAI
PromptResponse|Educators|Learning Studio|Campus Leaders|Investors
Rigor, with receipts.

What Comes Next

Our roadmap is honest, transparent, and evidence-driven. Here's what we're building—and what we need to get there.

Intellectual Property Protection

We think we're holding two valuable pieces of IP:

1. The tracking system

(including our assessment models and metric algorithms)

2. The ProvenanceAI Path protocol

(the actual learning process workflow)

Next steps:

  • • File provisional patents (Q2 2026, post-funding)
  • • Trademark "ProvenanceAI," "ProvenanceAI Path," and "Three Distance Metrics"
  • • Protect as soon as possible (before competitors copy)

The Honest Roadmap

  • Institutional partnerships
  • LMS licensing agreements
  • Future products: ScholarFlow (output translator), Critias (consulting arm)

What We Need: Data, People, Capital

1. We need data.

  • • Pilot feedback (qualitative + quantitative)
  • • Metric validation
  • • Pricing model confirmation
  • • LMS integration feasibility

2. We need a Team.

  • • EdTech investor language
  • • Credible financial model
  • • Institutional contracts
  • • Pre-seed → Series A pathway

3. We need funding.

That's why we're raising $1,000,000 in pre-seed funding.

Funding Strategy: SAFE Note

Structure: Simple Agreement for Future Equity (SAFE)
Target: $1,000,000 pre-seed funding
Timeline: March 15 - September 2026
Use of funds: Team build-out, platform scaling, pilot expansion

Why SAFE:

  • Investor-friendly, standard mechanism for early-stage EdTech
  • Delays valuation until we have more traction data
  • Allows us to focus on product-market fit, not cap table negotiations

Phased Build-Out

0

Phase 0: Foundation (Current)

Status: MVP deployed. Active pilots running.

Current capabilities:

  • • ProvenanceAI Path workflow (sources → prompts → drafts → revisions → MVP)
  • • Three Distance Metrics (HD, LLD, WB) with scoring algorithms
  • • Manual pilot implementations (small cohorts, direct faculty partnerships)

Current team:

Christopher Driscoll (Founder/CEO) + AI orchestration team

What we're proving:

  • Product-market fit with real faculty
  • Metric validity (do scores correlate with learning outcomes?)
  • Pilot economics (what's the right pricing model?)

Customer Discovery & Market Research (Running Concurrently with Phase 1):

Online Survey Rollout:

  • • Distributing comprehensive survey to stakeholders across higher education
  • • Marketing campaign to ensure strong participation rates
  • • Gathering quantitative and qualitative data on institutional needs

Personal Outreach Campaign:

  • • Direct outreach to 50+ Deans, Provosts, and Vice Provosts nationwide
  • • 15-minute demo Zoom calls to showcase ProvenanceAI
  • • Three-fold goal: understand institutional AI initiatives, identify pain points, establish pilot-host relationships

Positioning:

We are not trying to replace traditional grading, although we're betting that this new model will eventually become the standard. Right now, ProvenanceAI is an add-on to existing LMS platforms, designed for instructors to begin exploring how we will teach tomorrow in the age of AI.

Goal: Establish credibility and demonstrate seriousness to pre-seed investors

1

Phase 1: Pre-Seed Funding Push

March 15 - September 2026

Team hires (immediate, post-funding):

1. Fractional CFO (First Priority)
  • • Chart financial roadmap
  • • Build revenue projections and unit economics
  • • Manage pre-seed → Series A pathway
  • • Oversee institutional partnerships and licensing agreements
2. Full-Stack Development Engineer
  • • Scale platform for institutional deployment
  • • Build LMS integrations (Canvas, Blackboard, Moodle)
  • • Ensure FERPA compliance and data security
  • • API infrastructure for ScholarFlow and third-party partners
3. Sales & Marketing Executive
  • • Drive institutional partnerships (CTLs, Provosts)
  • • Manage pilot-to-paid conversion pipeline
  • • Execute conference strategy (EDUCAUSE, OLC, AAC&U)
  • • Build brand awareness in higher ed
4. Agentic AI Orchestration Specialist ($50k-75k contract)

Optimize our AI development workflow, accelerate product iteration, reduce long-term technical debt. Note: ProvenanceAI is already being built by AI agents—this investment doubles down on that advantage

Platform development:

  • • LMS integration (pilot phase)
  • • Automated metric scoring (reduce manual review time)
  • • Instructor dashboard (visibility into cohort-level trends)
  • • Student-facing progress tracking

Pilot expansion:

Goal: 30+ pilots secured for Fall 2026

Mix: 15-20 paid pilots ($20k-25k each), 10-15 exploratory pilots

Focus: Faculty integrating AI now (early adopters)

Revenue target (end of Phase 1):

  • • $150,000-$350,000 in pilot revenue
  • • 8-10 paid pilots converted
  • • Pilot-to-paid conversion rate: 50-70%

Key milestones:

Q2 2026:Survey data analysis: What are institutions actually doing with AI?
Q3 2026:Demo call insights: Pain points and pilot-host relationships established
Q4 2026:Pilot-to-paid conversion learnings: What pricing model works?

Expected outcome: Clear pathway to Series A funding ($3M-$5M)

Risk Mitigation

We're transparent about risks and how we plan to address them.

Market Risks

Risk:

Higher ed slow to adopt new technology

Mitigation:

Target faculty already integrating AI (early adopters), build 10-15 champion network, run 30+ pilots before scaling, evaluate corporate training and K-12 adjacencies if institutional adoption stalls

Technical Risks

Risk:

LMS integration more complex than expected

Mitigation:

Hire full-stack dev with Canvas/Blackboard experience, build modular API layer, file provisional patents on ProvenanceAI Path protocol and AI teaching workflows by Q2 2026

Operational Risks

Risk:

Team scaling too fast or too slow

Mitigation:

Hire against revenue milestones ($150k+ triggers CFO, $350k+ triggers dev), start fractional, use Advisory Board (Deans/Provosts) for scaling validation and hiring decisions

Financial Risks

Risk:

Pilot-to-paid conversion lower than projected

Mitigation:

Use conservative 30-50% conversion rate in financial projections (higher ed typically 20-40%), run 30+ pilots to validate pricing, offer tiered pricing (exploratory vs. paid), diversify revenue: ScholarFlow licensing, Critias consulting, LMS partnerships. Profit-first model—revenue validates product-market fit

The Bottom Line

We're building something real. We're being honest about what we know and what we're figuring out. We're moving fast, but with rigor.

We're raising $1,000,000 to:

  • Build our core team
  • Scale from 15 pilots to 100+
  • Prove product-market fit
  • Position for Series A

If you believe in making learning visible, coachable, and fair—let's talk.

Schedule a Call

ProvenanceAI

Rigor, with receipts.