Trusted by leading institutions · 300,000+ Voice AI calls delivered across North America
Solve the 1001:1 student support problem
Runs thousands of structured student voice conversations, automating repetitive interactions so staff can focus on pivotal moments.
Voice AI calls to help undecided students explore career paths.
- •Interest-based discovery with actionable next steps
- •First-year foundations and career courses
- •Orientation and transition programs
How it works
1. The student experience
Student Voice AI Conversations
5–15 min phone or web calls · 3+ per module
2. How modules are deployed
Assignments
Structured deadlines · Auto-graded
Self-Serve Practice
Available 24/7 · Instant feedback
3. What the system produces
Student Feedback
Instant and personalized
Staff Summaries
Actionable reports
Leadership Signals
Alert signals and trends
Your students are already using AI
Now you can govern it. InStage brings Voice AI into real workflows with compliance, auditability, and safety built in.
Compliant
Jurisdiction-based data storage. Vendor list + due diligence package available on request.
Auditable
Session logs are exportable. Operational logs are retained 365+ days.
Independently tested
Third-party pen test completed. All findings are closed.
Accessible
24/7 via browser or phone. Low-bandwidth friendly.
Responsible AI principles
Transparent by design
AI involvement is clearly communicated. Outputs support learning, not replace evaluation.
Human-in-the-loop
AI supports decisions—doesn't make them alone. Educator judgment stays central.
Responsible boundaries
No model training on content. No biometrics. No unapproved AI on student data.
What our partners say
“Our commitment to responsible AI implementation at scale will transform how students develop professional competencies, ensuring Waterloo graduates are prepared for an AI-integrated workforce.”
Dr. Norah McRae
Associate Provost, Cooperative & Experiential Education, University of Waterloo
“Introducing InStage into our Co-op preparation curriculum has been a game changer... Students get a safe space to practice with actionable metrics for improvement. They benefit from increased confidence and real-time feedback. For staff, InStage lets them focus on deeper coaching conversations rather than basic preparation.”
Susan Soikie
Director, Arts & Science Co-op, University of Toronto
“Practicing alone or in front of the mirror isn't the same—you don't have anyone looking at you or listening to you... InStage uses avatars that watch and listen, and even though you know they aren't real, they still invoke an emotional response. I honestly believe InStage is what we've been waiting for.”
Alon Eisenstein, PhD
Assistant Professor of Teaching, School of Engineering, The University of British Columbia
“InStage proves itself as a robust tool offering exceptional training in many areas. The mock interview platform is particularly dear to me, aiding our participants in becoming job-ready and confident. Its impact is evident in the number of participants it has supported in securing employment opportunities.”
Sangeeta Mehta
Senior Manager, Partnership Development & Career Counsellor, ADaPT Program, Toronto Metropolitan University
“AI-guided reflection promoted self-awareness, accountability, and goal setting while helping me stay mindful of my progress and adjust goals accordingly. The interactive conversations made reflection feel more like mentorship.”
Yue P.
Student, Silicon Valley Campus, Northeastern University
“The virtual assistant's prompts on the 'how' and 'why' helped me quantify my achievements, leading to deeper learning. It was efficient and engaging—saving time while fostering critical thinking, rather than feeling like just another task. Most importantly, it strengthened my professional growth by prompting proactive manager check-ins and clearer goals, helping me establish myself as a professional invested in continuous development.”
Shradha S.
Student, Toronto Campus, Northeastern University
“By using the mock interview tool, students can input a job title and responsibilities. The AI then analyzes this information and generates interview questions specifically tailored to the role.”
Dr. Felicia Pantazi
Educational Developer, Centre for WIL, University of Waterloo
“At first, I thought it would feel strange talking to a robot, but surprisingly, it didn't. It responded almost like a human, quickly taking notes while I spoke, which was impressive. I also tried speaking to it in Mandarin, and it was able to respond fluently in that language.”
Xinlai C.
Student, Vancouver Campus, Northeastern University
“At the conclusion of our session, one of the suggestions it made was, "Try networking more with people, and let's reconnect next week." Inspired by the conversation, I decided to act on the bot's advice. I had been contemplating asking someone at TractionComplete for a coffee chat but felt reluctant. After this interaction, I finally reached out and it resulted in a meaningful, hour-long discussion.”
Rayyan M.
MSc Data Analytics Engineering, Vancouver Campus, Northeastern University
“The AI reflection tool enabled our students to process their experiences more naturally. We saw significantly deeper insights compared to written reflections, particularly around technical skill development and workplace navigation.”
Dr. Maya Rodriguez
Faculty Coordinator, Silicon Valley Co-op Program, Northeastern University
Award-Winning Platform
