AI Tutors

Build learning companions that understand what a child is working on, scaffold their thinking, and know when to help versus when to let them struggle productively.

The Gap Between Chatbots and Real Tutoring

Most products labeled "AI tutors" today are still built on general-purpose language models. While they can see the current exercise and respond to immediate questions, they lack deeper pedagogical awareness.

They don't maintain a meaningful understanding of what the learner has already mastered, where they have struggled in the past, or which teaching strategies have been effective for this specific child and the curriculum's pedagogy. As a result, instructional decisions are often generic: helpful in the moment, but disconnected from a coherent learning progression.

Real AI tutoring requires more than task-level context. A true tutor builds on prior learning, recognizes patterns of misunderstanding, and chooses how to help based on pedagogy, adjusting their teaching strategy based on how a specific child learns.

What EdTech Teams Build With UG

Production AI tutors that ship inside real learning products, integrated with your curriculum, your content, and your pedagogical approach.

In-Context Copilots

AI that supports students while they work on a specific exercise, problem, or lesson. The tutor sees the same context the student sees and provides help that's relevant to exactly what they're doing right now.

Adaptive Tutors

Tutors that learn how a child thinks across multiple sessions. They remember what strategies worked, what concepts were difficult, and adapt their teaching approach over time. Persistent, personalized learning support.

Teacher-Aware Assistants

AI that surfaces insights back to educators. Flag students who are struggling. Identify common misconceptions. Provide recommendations for intervention. Keep teachers informed without adding to their workload.

Task-Aware Conversation

The tutor understands what the child is doing.

Understanding Context

When a student asks "I don't get it," a chatbot has no idea what "it" refers to. A task-aware tutor knows exactly what exercise they're on, what they've attempted, and can provide targeted help.

UG's conversation engine maintains awareness of the learning context: the current task, the student's progress, previous attempts, and the pedagogical goals of the activity. Every response is grounded in this context.

This lets you ship meaningful support that adapts to specific tasks and the child's current thinking, without building real-time understanding and response systems from scratch.

Beyond Q&A

Real tutoring isn't just answering questions. It's asking the right questions to guide thinking. It's noticing when a student is on the wrong track before they realize it. It's knowing when to let them work through difficulty and when to step in.

UG handles the complexity of the AI interaction layer: interpreting intent, maintaining conversation flow, managing turn-taking, handling interruptions and topic shifts. Your team focuses on pedagogical design and ships sophisticated tutors without building conversation infrastructure.

Partnering on Your Pedagogical Vision

Whether you come with a fully defined pedagogical approach or wish to develop one with us, our engine adapts. We align with your existing strategies or co-create new ones, ensuring every interaction reflects your unique educational vision and proven principles.

Integrate Your Teaching Strategies

We adapt to your established methods, ensuring the tutor reinforces your unique pedagogical approach and learning styles.

Customizable Scaffolding Paths

Define your desired levels of progressive support, from subtle hints to direct instruction, aligned with your specific learning objectives.

Flexible Error Correction & Clarification

Tailor how the tutor guides learners through mistakes and provides clarification, matching your preferred feedback style and level of intervention.

Adaptive Progression Designed by You

Control the pacing and sequencing of content, allowing the tutor to adapt and grow with each learner based on your unique pedagogical model.

Safety and Compliance Built In

Privacy, safety, and regulatory compliance enforced at runtime, from day one.

Context-Aware Safety

Every interaction is evaluated in real-time. The system decides whether to respond normally, redirect the conversation, or escalate to a parent or educator based on the specific context.

This isn't keyword filtering. It's understanding intent, recognizing when a child might be in distress, and knowing the difference between curiosity and something that needs adult attention.

  • Real-time content evaluation
  • Age-appropriate response calibration
  • Automatic escalation paths
  • Transparent decision logging

Compliance by Default

COPPA, FERPA, GDPR-K, and state student privacy laws are complex. Building compliant systems requires deep expertise in both the regulations and the technical implementation.

UG handles this at the platform level. PII is handled correctly. Data retention follows requirements. Parental consent workflows are supported. You ship compliant products without becoming regulatory experts.

  • COPPA and GDPR-K compliance
  • FERPA-ready architecture
  • Automatic PII handling
  • Consent management support

What You Build vs. What UG Handles

Focus on what makes your product unique. We handle the infrastructure that makes it possible.

Your Team Owns

  • Curriculum and pedagogical approach
  • Learning content and exercises
  • Assessment design
  • User interface and experience
  • Brand and product positioning
  • Integration with your existing systems

UG Provides

  • Real-time AI conversation engine
  • Task and context awareness
  • Safety monitoring and escalation
  • Child speech recognition
  • Session memory and adaptation
  • Privacy and compliance infrastructure

How Teams Integrate

Build on our APIs and SDKs. Your system stays in control.

Your Architecture, Enhanced

UG integrates into your existing stack. Your learning app or LMS handles content, exercises, and the teacher dashboard. Events and context flow to UG's tutor runtime. The AI handles session memory, pedagogic flows, safety, child speech understanding, and compliance. Underlying AI models (language, speech, vision) are managed by us.

You call our APIs when you need AI interaction. We return responses that follow your pedagogical configuration. Everything else about your product stays exactly as you designed it.

Adaptation Over Time

UG enables tutors to learn how a child thinks across sessions, building a persistent understanding that informs every interaction. This transient adaptation means teaching strategies evolve with the learner, becoming more effective over time.

Automatic session memory and adaptation create a continuous learning journey that feels personal and responsive, without requiring manual configuration from your team.

Ready to Build AI Tutors That Actually Work?

Talk to us about integrating adaptive, safe AI tutors into your learning product.

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