Education
AI Development Services

We bring the expertise of former Google and Amazon engineers to deliver production-ready education AI systems tailored to your institution, classroom, or edtech platform.

Learn more

Modern Technology, Stronger Impact

Imagine the impact if your team operated with the efficiency of the most advanced AI-driven platforms. We're here to help edtech orgs unlock that potential through digital transformation. Let AI handle the busywork so you can focus on what matters most: empowering learners.


Real-world experiences in education

UCSF Logo
This web-based, mobile-responsive app allows researchers to onboard patients by phone number, assign procedure types, and track pain responses over time. Patients receive automated text reminders to log their pain hourly, daily, and monthly, enabling streamlined data collection.
University of California San Francisco Research Department

How we work

Step 1: Discover
We start by understanding your institution's needs, whether you're a K-12 school, university, or edtech provider. Our Discovery process ensures we learn your educational goals and operational context.
Step 2: Research
Our team explores the latest AI models and best practices in education technology to design scalable, effective solutions for your learning environment.
Step 3: Build
We turn insights into action, building production-ready education AI solutions that empower students, educators, and administrators.

Education AI models and applications

Personalized Learning

Knewton (Wiley)
Knewton
(Wiley)
Squirrel AI
Squirrel AI

Education Chatbots

Rasa
Rasa
Khanmigo
Khanmigo
(Powered by GPT)

Speech & Accessibility

Whisper
Whisper
(Open AI)
Google Cloud Speech-to-Text
Google Cloud
Speech-to-Text
DeepL
DeepL

Automated Grading

Open Text Classification
Open Text
Classification
Turnitin's AI Detection Engine
Turnitin's AI
Detection Engine

Put your mind at ease and let us take care of education compliance

FERPA

We design and build solutions that comply with the Family Educational Rights and Privacy Act (FERPA), ensuring student data privacy and security in all our education AI projects.

COPPA

Our technology aligns with the Children's Online Privacy Protection Act (COPPA), protecting the privacy of students under 13 and supporting safe digital learning environments.

SOC 2

We implement and maintain controls that meet SOC 2 standards for security, availability, processing integrity, confidentiality, and privacy—giving you and your partners confidence in your data management practices.

Education AI solutions we offer (and more)

Adaptive Learning Platforms

Personalize instruction and content delivery for every student using AI-driven adaptive learning systems.

Automated Grading & Assessment

Save educators time and provide instant feedback with AI-powered grading and assessment tools.

Student Success Analytics

Identify at-risk students and optimize interventions with predictive analytics and early warning systems.

Intelligent Tutoring Systems

Deliver personalized, on-demand tutoring and support to students using conversational AI and knowledge graphs.

Content Generation & Summarization

Automatically generate, summarize, and translate educational content for diverse learning needs.

Classroom Management Tools

Streamline classroom operations, attendance, and communication with AI-powered management solutions.

Speech-to-Text & Accessibility

Enhance accessibility with AI-driven speech-to-text, language translation, and assistive technologies.

Plagiarism Detection

Protect academic integrity with advanced AI tools for plagiarism detection and originality checking.

Frequently asked questions

How can AI enhance my EdTech platform's learning experience?

AI can personalize content delivery, recommend resources, and adapt learning paths based on user behavior and performance. By analyzing student interactions, your platform can offer tailored quizzes, dynamic content pacing, and intelligent feedback to improve retention and engagement.

What types of AI models are used in education technology?

Popular AI models for EdTech include recommendation engines, natural language processing models for grading or tutoring, and computer vision for proctoring or gesture recognition. We work with models like GPT-4 for content generation, BERT for semantic understanding, and custom classifiers for skill assessments.

Can AI be used to automate grading and feedback?

Yes, AI can automatically grade quizzes, short answers, and even essays using NLP models. We develop AI grading systems that provide instant, constructive feedback to students while saving instructors valuable time.

How does adaptive learning with AI work in EdTech apps?

Adaptive learning systems use AI to adjust content difficulty and progression based on a learner's real-time performance. We create models that track engagement, knowledge gaps, and behavioral patterns to build personalized learning journeys.

Can you build a custom AI tutor or chatbot for my education platform?

Absolutely. We develop intelligent virtual tutors and chatbots that answer student questions, guide lessons, and provide explanations using models like GPT-4, Claude, or fine-tuned proprietary LLMs. These AI tutors can be embedded directly into your app or LMS.

How can AI help with student engagement and retention?

AI can identify at-risk students by monitoring engagement metrics and predicting dropout risk. We help EdTech companies integrate early warning systems, nudge campaigns, and personalized encouragement strategies powered by predictive analytics.

What are the best AI tools for creating and managing educational content?

Tools like Diffit, Quizlet AI, and custom GPT-powered content generators can automate lesson plan creation, generate quizzes, and translate materials. We can also build internal tools that let your team generate structured content at scale, aligned with curriculum standards.

What's the process to build a custom AI solution for my EdTech company?

We start with a discovery phase to understand your product, audience, and goals. From there, we define use cases, select or train the right AI models, and integrate them seamlessly into your platform. Post-launch, we monitor performance and continue to fine-tune for scale and effectiveness.

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