After nearly 30 years in education, I’ve seen one challenge remain constant: teachers collect an enormous amount of assessment evidence, but much of it remains scattered across conversations, observations, assignments, photos, videos, and multiple digital platforms. As a result, valuable insights are often difficult to organize and use to inform instruction.
AssessWise AI is an assessment intelligence platform designed to bring that evidence together. Rather than replacing teacher judgment, it helps educators identify learning patterns, align evidence with curriculum outcomes, and generate meaningful insights that support better instructional decisions while reducing administrative workload.
My venture pitch includes an interactive functional prototype, market analysis, competitive positioning, go-to-market strategy, and a plan for scaling the platform through school division partnerships.
I would appreciate your feedback, particularly from an investor’s perspective:
- Does AssessWise AI solve a meaningful problem?
- What would increase your confidence in the venture?
- What questions or concerns would you have before investing?
Thank you for taking the time to review my pitch. I look forward to your feedback.
Hi Cherri-Lynn, I can’t find a direct link to your venture pitch in the post. Cheers!
It should work now. Thank you for letting me know!
Hi Cherri-Lynn, Yes, now your embedded link works! Looking forward to exploring AssessWise AI.
Hi Cherri-Lynn,
I enjoyed reviewing AssessWise AI. I think you’ve identified a meaningful challenge that many educators experience, and I appreciated your emphasis on supporting teacher judgment rather than replacing it.
One small technical note: the interactive prototype didn’t appear to load for me, so you may want to double-check the embed.
From an investor perspective, I was also wondering why you chose to pilot with 3–5 Alberta schools specifically. Is there a strategic advantage or existing partnership that makes Alberta the ideal starting point?
I’d be interested to hear more about the thinking behind your pilot strategy.
Thank you for taking the time to review AssessWise AI.
That’s a great question. I chose to begin with 3–5 Alberta schools because I believe it offers the strongest path to validating the venture before scaling. Throughout my career, I’ve seen too many educational initiatives introduced too quickly without sufficient teacher buy-in, resulting in inconsistent implementation and limited long-term impact. I wanted AssessWise AI to take the opposite approach.
Starting in Alberta also makes practical sense. It’s the education system I know best, and working locally would make it easier to collaborate closely with teachers, gather meaningful feedback, and refine the platform based on authentic classroom experience.
From an investor perspective, a focused pilot is about reducing execution risk while demonstrating product-market fit. It provides an opportunity to gather evidence of classroom impact, refine the platform with educator feedback, and develop credible case studies before expanding. Rather than pursuing rapid growth, my thinking is to go slow to go fast, building trust, demonstrating measurable value, and creating a strong foundation for sustainable, scalable growth.
Technical note: Everything should be good to go now. Thank you for the heads-up!
REVIEW
Hi Cherri-Lynn,
I think you’ve hit on a really valuable idea here. One thing that I don’t think you specifically mentioned (but that is evident in your presentation) is that assessment tends to be product-oriented, but with AssessWise, you’ve incorporated a process-oriented element of assessment, which I am personally highly in favour of.
You’ve identified a specific problem and succinctly explained how your venture will solve that problem. I also appreciated that you start with a small pilot to test the feasibility, demonstrating clear scalability and a realistic revenue stream.
My only concerns are about the actual implementation of Assesswise. You said that teachers can capture products, observations, and conversations, all of which would be useful to demonstrate process-oriented learning, but I foresee issues here.
First is about privacy. Would every parent need to sign waivers agreeing that their children can be recorded? If a parent declined, would the teacher have to be responsible to not include that child in AssessWise activities?
Second is about teacher workload. Would teachers be responsible for recording student work and discussions in class, uploading photos, evaluating the AI’s assessments, etc? If so, isn’t that a fairly substantial increase in workload?
Finally, would process-oriented learning be factored into evaluation decisions? ie., if a student did well in class (as recorded by AssessWise) but poorly on tests, how would that be represented?
Overall, I love the idea. It’s valuable, realistic, and my EVA recommendation is to invest on the condition that these concerns are addressed. Thanks!
-Jason
Jason, thank you for the thoughtful feedback! I really appreciate your observation about AssessWise bringing a more process-oriented element into assessment. That is an important part of what I hope it could do.
You also raise some great implementation questions. For privacy, schools already have processes for parent/guardian consent around student information, images, recordings, and digital tools. AssessWise would need to work within each division’s existing privacy and consent requirements, with any additional consent addressed as part of implementation.
For teacher workload, the intention is that AssessWise would capture what teachers are already doing rather than create additional work. Teachers already have one-to-one conversations, conduct interviews and conferences, observe students working, photograph student work, and take anecdotal notes. Ideally, AssessWise would make capturing and connecting that evidence easier. If it added substantially to teacher workload, it wouldn’t be solving the problem it was designed to address!
Your final question about process-oriented evidence and evaluation is also a really good one. In my experience teaching in Western Canada, teachers already balance multiple sources of evidence when making professional judgments about student learning. If a student demonstrates strong understanding through conversations, observations, and classroom work but struggles on a test, that discrepancy is valuable information. AssessWise wouldn’t make that judgment for the teacher; it would help bring the evidence together so the teacher can make a more informed decision.
I think your questions helped me clarify something important: AssessWise isn’t really about introducing new assessment practices. Products, observations, conversations, and professional judgment are already part of what teachers do. The goal is to make that evidence easier to capture, connect, and use.
Thanks again for the thoughtful questions, and for the investment recommendation!
FEEDBACK
I thought AssessWise AI addressed a very real challenge for teachers, especially the amount of assessment evidence that can become scattered across notebooks and apps. I really liked the idea of bringing this evidence together in one workspace and aligning it with curriculum outcomes. I also appreciated the emphasis on using AI to support and amplify teacher expertise rather than replacing teacher judgment.
One thing that would have made me more excited to explore the venture further would have been a clearer picture in the elevator pitch of what using AssessWise AI would actually look like for a teacher. For example, I would have liked to see or hear a little more about how assessment evidence moves into the platform and how it is then turned into useful information that helps a teacher make instructional decisions.
Overall, I thought this was a strong idea that addresses a very practical problem for educators. Great job!
I really appreciate your comments, especially your recognition that AssessWise AI is intended to support teacher expertise rather than replace teacher judgment. That is central to the venture’s idea.
You also make a really good point about the elevator pitch. I could have made the teacher experience much more visible by showing how evidence moves from everyday classroom assessment, observations, conversations, student work, and assessment results into AssessWise, and how the platform then helps connect that evidence to curriculum outcomes and identify patterns that can inform next instructional steps.
I will definitely take that feedback forward and strengthen the elevator pitch. I think showing that process more clearly would make the practical value of AssessWise much easier to see.
Thanks again for taking the time to provide such thoughtful and encouraging feedback!
REVIEW
Hi, I was particularly persuaded by the focus on long-term retention rather than simply content generation. The combination of AI Card Coach, verified decks, classroom analytics, and teacher dashboards addresses weaknesses in many current AI study tools, while remaining grounded in retrieval practice and spaced repetition.
From an EVA perspective, I also see potential platform value in the verified-deck marketplace. If educators and subject experts contribute trusted content while learners and institutions generate demand, LearnOS could develop network effects that make the platform increasingly valuable as participation grows. This could become a more defensible advantage than AI functionality alone, which competitors may replicate quickly.
My main concern is whether the venture can actually capture the assets on which this strategy depends. The pitch positions LearnOS as Anki’s next evolution and benefits from Anki’s established reputation and ecosystem, but the proposed venture does not clearly establish ownership, licensing, or a formal partnership with Anki. Without that relationship, the strongest competitive advantage may also become its greatest execution risk.
I would also want the three-year revenue forecast tested against clearer assumptions around pricing, customer acquisition, institutional sales cycles, and willingness to pay. A $3.5M CAD ask seems difficult to justify before these assumptions are validated.
So my thought is to FUND WITH CONDITIONS. I would support staged investment following confirmation of an Anki partnership/licensing pathway and successful pilots demonstrating institutional demand, retention outcomes, and viable unit economics.
Sorry, commented under the wrong venture
REVIEW
Hi, your venture addresses a problem that feels both practical and persistent: schools generate large amounts of assessment evidence, yet much of it remains fragmented across observations, student work, digital tools, and existing systems. Its strongest feature is that it does not position itself as another grading tool or LMS replacement. Instead, it proposes an assessment intelligence layer that connects multimodal evidence, AI-supported analysis, curriculum alignment, and educator judgment. I also see strong founder–problem fit. The venture is grounded in more than 30 years of educational experience, and a functional MVP has already been developed, which reduces some early-stage uncertainty. The human-in-the-loop design is another strength because keeping educators at the centre of decision-making may improve trust and institutional acceptance.
My main concern is that its greatest strength may also create its biggest scaling challenge. Its value depends on connecting existing LMS, SIS, portfolios, and assessment systems rather than replacing them. That lowers switching costs, but it also makes interoperability, data access, privacy agreements, and third-party integration central to the business model. The venture acknowledges that formal market validation, integration, privacy protection, and willingness to pay still need to be demonstrated.
I would therefore want pilots to test not only whether teachers value the insights, but whether schools can realistically integrate and sustain the platform across existing infrastructure.
Hence, my thought on it is to FUND WITH CONDITIONS. I would support staged investment tied to successful division-level pilots demonstrating measurable workload reduction, integration feasibility, institutional willingness to pay, and evidence of improved instructional decision-making.
Thank you for such a thoughtful and helpful EVA review. I really appreciate your point that AssessWise’s ability to work alongside existing systems is both a strength and a potential scaling challenge. I think you’ve identified an important area that would need to be tested carefully rather than assumed.
Your suggestion that the pilots should validate not only whether teachers value the platform, but also workload reduction, integration feasibility, willingness to pay, and impact on instructional decision-making really resonates with me. Those measures would provide much stronger evidence of whether AssessWise is viable beyond the initial concept.
I also appreciate your conditional investment recommendation. It reinforces for me that the next stage would really be about moving from a promising idea to demonstrating that it can work sustainably within the realities of school systems.
Thank you for pushing my thinking!
REVIEW
Excellent work on this venture pitch, Cherri-Lynn! Your website and materials are all extremely well done, professional, and easy to follow. I especially loved your elevator pitch. You spoke so clearly and you hooked me in right away!
One of the strongest aspects of AssessWise AI is how relevant the problem it addresses is to educators. I really liked your opening statement, “Assessment Has Evolved. Our Systems Have Not”. It gets to the heart of the issue and immediately connects with educators. Assessment is a real challenge for teachers, especially when evidence and content come in multiple modalities. Having a platform that could collate student work, analyze strengths, and find patterns in student learning would be extremely beneficial.
An important distinction you make is that AssessWise AI is a support tool to be used alongside educator expertise and guidance, rather than giving AI the decision-making role. This gives credibility to the tool and may help reassure customers who may be skeptical about AI making mistakes on important decisions in a student’s learning journey.
One question I had as an investor was how the proposed school division partnership model would translate into a sustainable pricing and revenue structure. You identify school division partnerships as the initial path to market, with a focus on validating product-market fit, securing early adopters, and building toward institutional growth. I would be interested in seeing more detail about how the pricing model would work once these partnerships are established. Would school divisions purchase AssessWise AI through a district-wide license, a per-student or per-school model, or another subscription structure? Clarifying how pilot partnerships would transition into recurring revenue and what the anticipated costs would be for school divisions would strengthen the business model and provide a clearer picture of the venture’s scalability.
Overall, I think you did a truly awesome job and would love to see AssessWise AI become a tool available on the market! With more clarification on the pricing and revenue aspects of the platform I would feel confident recommending investing in AssessWise AI.
Megan,
Thank you for taking the time to review AssessWise AI! You raise a really important question about what happens financially after the pilot stage. This is an area I would like to explore more fully as AssessWise AI moves from validating the idea to building a sustainable business model.
From what I have seen in educational technology purchasing, I would lean toward an annual division-wide license, potentially tiered by student enrolment. Divisions I have worked with often prefer this approach because it provides consistency across schools and allows the central office to monitor usage, evaluate effectiveness, and support implementation at the division level.
One of my biggest takeaways from this course has been that cost is not always the greatest barrier to EdTech adoption. Often, the bigger challenge is implementation. Even a great tool can fail if it creates too much additional work, requires extensive training, or teachers simply do not use it consistently. That is one reason the pilot stage is so important to me. I would want to learn not only what divisions are willing to pay, but what supports are needed to make AssessWise AI something teachers actually find useful and sustainable in their everyday practice.
Ideally, a successful pilot could then transition into a recurring division-wide license. Your question has made me realize that I could have made that pathway from pilot to sustainable revenue much clearer in my pitch. Thank you for pointing out such an important piece of the venture!
REVIEW – RECOMMENDING PILOT
AssessWise AI was one of the ventures I would move forward for deeper investment consideration because it addresses a persistent K-12 problem with a solution that is both understandable and institutionally scalable. The strongest aspect for me wasn’t simple the use of AI–I thought the effort to connect evidence that teachers already use to assess such as products, observations, and conversations to help teachers gain further insight. I see this tool enhancing teachers’ professional judgement rather than taking away from it which is a fear of mine for AI-related assessment tools in general. I also like how you presented your MVP as it reduces some of the uncertainty normally associated with a concept-stage venture.
From an investment perspective, I also see value in the school-division approach. Institutional partnerships could provide recurring revenue and long-term customer relationships, while your extensive experience in assessment and instructional coaching as a founder provides strong founder-market fit.
My main concern is implementation friction. AssessWise will need to integrate with existing Learning Management System(LMS) and Student Information System(SIS) environments, manage sensitive student data from a variety of sources, and demonstrate that capturing evidence actually reduces rather than increases teacher workload. Before scaling, I’d want to pilot evidence showing measurable time savings, sustained teacher adoption, quality of the AI insights, and willingness to pay by institutions.
I would recommend funding AssessWise AI in stages, conditional on a successful pilot. Thank you so much for sharing this venture pitch!
Hello kanemerc,
Thank you for taking the time to review AssessWise AI and for recommending it move forward to a pilot! I really appreciate the questions you raised around implementation, as they have given me more to think about in terms of what would need to be demonstrated before further investment.
The EdTech tools my colleagues and I have continued to use over time are those that evolve alongside the needs of educators and students, and that is how I envision AssessWise AI developing. A pilot would provide an important opportunity to learn whether it genuinely saves teachers time, whether educators continue to use it, whether the insights are valuable, and ultimately whether divisions see enough value to invest.
I also see interoperability as something that could develop in stages. Rather than trying to integrate with every LMS and SIS from the beginning, the pilot could help identify which integrations would be most valuable to educators and divisions. This would allow the product to evolve in response to actual needs while being thoughtful about where development resources are invested. Student privacy and security would remain essential throughout.
I also appreciate your point about the quality of the AI insights. I intentionally think of them as insights rather than decisions. AI may help teachers notice patterns across assessment evidence, but teachers still bring the context, interpretation, and professional judgment needed to decide what those patterns mean.
I really like your suggestion of staged funding. It fits well with how I envision AssessWise AI moving forward: pilot, learn, refine, and then scale based on the evidence. Thank you for raising such thoughtful and valuable considerations!
REVIEW
Hi Cherri-Lynn,
I really enjoyed exploring AssessWise AI. As an elementary teacher, the problem you identified immediately connected with me. We collect so much evidence of student learning through observations, conversations, assignments, photos, and different platforms, but bringing it all together into something useful can be difficult. I think the idea of connecting that evidence and using AI to help identify patterns has real value.
I also thought one of the strongest parts of your venture was that the AI supports teacher judgement rather than replacing it. Your experience as an educator also comes through in the design, particularly in the attention you give to workload, assessment practices, and implementation. The prototype helped me visualize how the platform could actually work in a classroom, which made the venture feel much more developed than just an idea.
My biggest question as an investor would be whether AssessWise ultimately reduces teacher workload in practice. Capturing observations, conversations, photos, and other evidence could become another task for teachers unless the process is extremely seamless. I would want the pilot to demonstrate not only that the insights are valuable, but that teachers actually save time and continue using the platform.
I like the decision to begin with a small number of school divisions and build evidence before scaling.
My recommendation would be to FUND THE PILOT, with further investment dependent on demonstrated teacher adoption, workload reduction, and measurable value for schools.
Great work!
Hello Mcafuta,
Thank you so much for taking the time to review AssessWise AI. Teacher feedback is invaluable!
Your question about whether the platform will reduce teacher workload—or simply add another task—is valid and one several reviewers have raised. My ultimate goal is for AssessWise AI to reduce teacher workload, but I need to demonstrate this, not assume it. The pilot will be essential for determining whether the process is seamless enough to save teachers time while still providing meaningful insights.
Your recommendation to make teacher adoption and workload reduction key pilot measures is very helpful. Thank you for the thoughtful feedback!
This pitch was among the best-evidenced ventures of all the ones I reviewed. The reference list shows a strong commitment to research breadth: Black and Wiliam on formative assessment, Datnow, Mandinach and Gummer, and Schildkamp on the stubborn gap between having data and actually using it, alongside OECD TALIS 2024 and UNESCO’s generative AI guidance. Thirty years as a teacher, learning support teacher, and instructional coach is excellent background for credibility in tackling this problem. A working MVP rather than a concept is a significant plus. I also think the teacher-in-the-loop framing, “AI identifies possibilities, educators make decisions,” is the right posture for schools, and the framing around keeping the choice to connect existing systems rather than replacing is attractive to the target market.
My concerns are on the commercial side, which is not currently as strong as the academic side. The Market Opportunity page does not provide clarity on the total addressable market. The Investment Analysis page likewise is not clear on the funding ask, pricing, or revenue model, so there is no way to assess potential return on an investment. Competitors appear by category rather than by name, and I would want to see how this sits against Seesaw, Toddle, or PowerSchool, which also gather multimodal evidence. All of the above I see as addressable in future revisions. My one real reservation is privacy and data security. A platform taking in student photos, video, and observations needs a clear policy and plan on privacy, residency, consent, and model training.
Recommendation: I would fund a small validation pilot now, and move to a full recommendation once the market is sized, the ask is costed, competitors are named, and student-data governance appears on the page.
Hi Cherri-Lynn,
I really enjoyed reviewing your venture pitch. Presenting this as a Google Site rather than a traditional slide deck was a refreshing and engaging choice.
Your “Why This Matters to Investors” page is excellent. You clearly articulated the growing AI in education market trend and backed it up effectively with the OECD report on teacher administrative workloads. Tying in the changing assessment standards and the demand for richer evidence of learning made the market need undeniable. The “Opportunity in Numbers” section was similarly strong—highly visual and easy to digest.
The working prototype is a fantastic addition that is genuinely fun to play around with, even if it might stretch slightly beyond the standard scope of a venture pitch. The concept of “universal capture” 0is very compelling as well given recent market trends for integrated solutions. The approach actually reminds me a lot of the integration model I’m proposing with LifeOS, as both are designed to layer seamlessly on top of existing platforms.
I did have an initial concern about AI making judgment calls on assessments and superseding teacher expertise. While you addressed this quickly, your “human in the loop” approach needs more elaboration, particularly regarding how it “creates a significant competitive advantage by reducing barriers to large-scale adoption.”
My main piece of constructive feedback is regarding length and design. The pitch is currently a bit too long, and the heavy reliance on AI-generated images makes it easy to get lost in the mix. Streamlining the visuals would make your core message punch even harder. Great work overall!