The AI layer for human-led education.
The Problem
Human-led education companies' main challenge is customer churn. The rise of AI generative tools promised to increase quality and personalization, but has failed to deliver similar client retention impact seen in other sectors.
The Root Cause is Structural
These solutions rely heavily on tutors—the worst enablers. The need for educators to provide manual lesson insights and feedback to control AI tools results in poor implementation and impact.
- Learners' off-class practice is not aligned with their goals, interests, and level
- No visibility into learner progress to support motivation and demonstrate results
- Tutors juggling large pools of learners fail to provide tailored in-class materials
Human-led education doesn't lack AI. It lacks structured learning context.
The Solution
Nousable is the AI data layer for human-led education.
Nousable embeds an AI agent into live online classes, captures pedagogical signals in real time, and structures them into dynamic learner profiles. These profiles serve as the single source of truth and are accessible via API, powering all personalization across live and asynchronous learning.
Instructors get
- Clear focus for the next lesson, derived from learner profiles
- Evidence of learner struggles and progress, grounded in session data
- Targeted prompts and activities generated from individual or group profiles
- A simple way to personalize without additional workload
Learners get
- Practice generated directly from their learner profile
- Clear targets aligned with their level, goals, and recent performance
- Engaging scenarios aligned with personal or professional interests
- A continuous experience across live and asynchronous learning
Institutions get
- A unified learner data layer across live and async instruction
- Consistent instructional quality driven by shared learner profiles
- Personalization at scale without operational complexity
- Actionable insight into learner progress and program effectiveness
Why Now
Human-led education businesses face a new competitive threat: AI avatars and native platforms that offer maximum personalization at low cost. Traditional providers must adapt their offering.
Recent advances in speech recognition, real-time processing, and language understanding now make it technically feasible to capture and structure live instructional data at scale—unlocking a new infrastructure layer for education that wasn't possible before.
Market & Model
Target Market: Education providers relying on live instruction—language schools, continuing education, professional training, tutoring networks, and hybrid learning institutions.
Business Model: B2B SaaS, priced per learner or per active seat, integrating with existing teaching workflows and learning systems.
Traction & Roadmap
Launch: August 2025 - Rapid customer validation with clear path to $1M ARR
• Anglit Laam: POC contract signed
• Anglit Laam POC launch
• Anglit Laam: 800 learners ($40K)
• Launch 1 SMB + 1 Enterprise POC
+2 new POCs
Expansion of existing accounts
+2 Enterprise Clients
The Ask
We are raising $500K USD to accelerate growth and scale operations.
Use of Funds
- Engineering employee to accelerate product development
- Operations costs: conferences for client acquisition, legal, CFO, security advisory
18-Month Goal (End of 2026)
Team
Nir Aviv
- Founded and managed Asli language school
- Special forces veteran
- Computer Science BSc
Marom Bracha
- Cyber Center in 8200 alumni
- Former Tech Lead at One Layer - AI dev tools implementation and adoption
Deep experience in human-led education, AI-driven product development, and large-scale operational execution.