The pathforward.Revealed.
Know where you are. See where to go. Follow the path forward.
Arrival is a wayfinding system for learning. It reads signals, recognizes patterns, and helps each student see a path forward — not by removing challenge, but by introducing the right tension at the right moment. Faculty submit a syllabus. The system maps every skill, surfaces true proficiency, and closes gaps through coaching, quizzes, and targeted practice.
Week 7 of 15
You're making progress — 2 skills need attention.
The Challenge
Students can't fix what they can't see.
Students don't know where they stand until grades arrive — and by then it's too late to change course. Faculty can't see what's happening beneath the surface until the semester is already over.
"I do not begin with answers. I begin with clarity. I do not rush the path. I reveal it."
Students don't know where they stand
Without a clear view of their own progression, students can't self-correct. By the time a grade signals a problem, the window to act has closed.
Faculty get signals too late
Grade data arrives weeks after the intervention window closes. The signal tells you what happened — not what to do.
No path forward is visible
Students know they're struggling but not why, and not what to do next. Confusion without direction leads to withdrawal.
Gateway courses most exposed
The courses that drive DFW rates and retention loss carry the highest consequences — and give students the least clarity about where they stand.
The Platform
Not an AI tool. An adaptive, prescriptive learning operating system.
The AI isn't the product — it's the underlying intelligence. What we've built is a wayfinding system that reads signals, recognizes patterns, applies judgment, and guides students toward an arrival point. Not by removing challenge, but by introducing the right amount of tension at the right moment. Students don't just see where they stand. They fix it.
We remove noise to reveal what matters.
True proficiency. Exposed with precision. Arrival uncovers every student's actual skill level — both foundational knowledge and core skills like problem decomposition and reasoning. The system determines where they truly stand, not just where grades suggest.
See the gap. Address it immediately.
Every decision grounded in context. Once deficiencies surface, students don't just know — they act. Personalized coaching sessions, adaptive practice quizzes, focused study guides, and review materials are served directly to each student for exactly the skills that need work.
The system listens. Signals. Patterns. Shifts over time.
Practice builds mastery. The system connects what matters and speaks to move forward — not just that they tried, but that they're actually improving. Each closed gap is recorded. Faculty see the movement. Students feel it.
Effort becomes traction. Traction becomes proof.
Consistent forward progress without overwhelm. Documented outcome tracking across cohorts creates the evidence base that moves adoption from one course to a department to an institution. DFW rates tracked. Pass rates rising. The improvement is real — and reproducible.
The Model
Architect.
Activate.
Amplify.
Faculty submit a syllabus. That's it.
Arrival maps any syllabus into a complete skill and knowledge framework. No faculty dashboard to learn, no workflow to change, no ongoing workload. Faculty provide the course — we build the intelligence behind it.
Students see their gaps — and close them.
Each student gets a personalized progress dashboard revealing their true proficiency on every foundational skill and core capability in the course. Where a gap exists, the system acts: coaching sessions, adaptive quizzes, study guides, and practice — targeted to that exact skill. Students can upload their own work or take an assessment to establish their real starting point. Faculty require regular check-ins. The engagement loop does the rest.
Better outcomes. Repeatable evidence.
When students know where they stand, they act differently. DFW rates drop. Pass rates rise. Faculty see the results without doing the work. Pilot proof becomes the evidence base that moves adoption from one course to a department to an institution.
Priority Courses
Built for the courses with the most at stake.
College Algebra
The highest-risk course for first-year persistence. High DFW rates, broad enrollment, and direct connection to completion outcomes. The most important place to start.
Introductory Statistics
Clear, measurable progression signals and well-defined intervention windows. A natural environment for demonstrating early value and building the evidence base.
General Biology
High volume, high institutional visibility, strong evidence potential. Results here create departmental credibility that travels quickly to chairs and leadership.
Getting Started
A structured pilot built to prove — not just explore.
Every pilot has clear baselines, measurable outcome targets, and a clear conversion pathway from day one. This is not an experiment. It's a structured collaboration.
Faculty Engagement
We start with a conversation about your course, not a product demo. Pilots begin with faculty who have a real instructional problem and a course where evidence will be visible.
Structured Deployment
One course. Three to five sections. 100–300 students. Six to eight weeks. Framed explicitly as a research-informed instructional collaboration, not a software trial.
Evidence Capture
Assignment completion behavior, intervention timing, grade trajectory shifts, and faculty usability — all measured against a documented baseline.
Expansion Decision
Course-level proof converts to department adoption. Department results build the case for institutional licensing. The evidence created in Phase 3 drives every conversation in Phase 4.
What Changes
Results faculty can show.
Institutions can act on.
Reduction in DFW rates.
- Measurable improvement in course pass rates
- Baseline comparisons that document what changed
- Evidence of intervention timing effectiveness
Clarity. Not more data.
- Clearer decisions with less uncertainty
- Faster, better-targeted interventions
- A workflow that replaces the guesswork
From hoping to knowing.
- Retention indicators for student success reporting
- Performance data for accreditation narratives
- Department-to-institution expansion pathway
"Proof is not a support element.
It is a condition of adoption."
Packaging
Start small. Prove it. Expand.
Every engagement begins with a structured pilot. All tiers include baseline documentation and measurable outcome targets from day one.
Establish trust, evidence, and usability fit. The fastest path to seeing real value.
- Single course, 1 instructor
- Up to 300 students
- 6–8 week structured engagement
- Baseline + outcome documentation
- Optional LMS integration available
Entry model for ongoing course-level use after a successful pilot.
- Single course, ongoing access
- Full dashboard + progression data
- Faculty support included
- Outcome tracking
Multi-section, multi-instructor coordination across a department.
- Multiple sections and instructors
- Coordinated outcomes reporting
- Department-level analytics
- Chair briefing support
- Expansion case study included
System-level retention, performance, and academic success infrastructure.
- Institution-wide deployment
- Retention + accreditation reporting
- Dedicated success partner
- Custom integration support
- Multi-department analytics
The Team
Built by people who understand both sides of the classroom.
Jeff Ritter
Jeff founded Arrival with the conviction that the biggest problem in higher education isn't access to data — it's access to the right signal at the right moment. As Chief Learning Officer, he ensures every feature, every intervention signal, and every pilot outcome is grounded in how learning actually works.
Orsolya Cypert
Orsolya leads product at Arrival, bringing rare experience as a CTO across both school systems and major technology companies. She has built and shipped products at the intersection of institutional complexity and technical precision — and understands what it takes to make a platform that works inside real academic environments.
Ryan Rydstrom
Ryan leads the relationships that make Arrival's pilots work. He manages sales, marketing, and client partnerships — connecting institutions with the right entry point, guiding faculty through the pilot process, and building the research relationships that turn early results into lasting adoption.
Want to understand how our AI measures student proficiency? Read our detailed methodology paper on evidence weighting, trajectory analysis, and governance.
Read Our MethodologyReady to start?
See what's actually happening in your gateway courses.
Pilots are structured, evidence-based, and designed to produce results faculty can stand behind. Tell us about your course and we'll take it from there.