EdTech AI
What Drives the Cost of a Custom AI Tutoring Platform?
Understand the scope choices behind a custom AI tutor estimate, from curriculum preparation and integration to evaluation and ongoing ownership.
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AI Tutor Development
White Storm Technologies develops AI tutors for a defined subject, course, or learner group. We work with your educators to decide how the tutor should explain concepts, ask follow-up questions, suggest practice, and use approved course material. The experience is designed to support learning while keeping subject and teaching decisions with your organization.
YOUR GOALS. OUR EXPERTISE.WHO WE HELP
Built around your team.
For course providers, EdTech platforms, tutoring businesses, publishers, and academic teams.
The challenges we help solve.
Learners can get stuck between classes, but immediate answers alone do not show whether they understand a concept. A general chatbot may use an unfamiliar method, introduce material outside the syllabus, or confidently invent an explanation. Your tutor needs an agreed teaching approach and examples that educators can judge against the actual course.
WHAT WE DELIVER
What we can build with you.
- 01
Tutor behavior and subject boundaries
A specification for the learner level, covered topics, preferred teaching methods, hint structure, and situations that need educator support. Assessment-related restrictions are agreed with the course owner.
- 02
Course-grounded tutor experience
A web or platform-connected interface with approved content retrieval, source references where useful, and scoped practice conversations. Features such as saved progress are added only with an agreed data model.
- 03
Educator evaluation pack
Representative concept questions, misconceptions, unsupported requests, and review criteria. We document observed limitations and the process for updating content and evaluating a new version.
ILLUSTRATIVE WORKFLOW
How the solution works.
- 01
Define how learning should work
Choose one subject and learner group, review common misconceptions, and agree when the tutor should guide a learner through a step instead of revealing a complete answer.
- 02
Develop the tutor with educators
Organize permitted material, build the conversation flow, and compare responses with instructor examples. Include questions the available content cannot answer.
- 03
Pilot and refine
Review subject accuracy, explanations, source use, and learner feedback in a bounded pilot. Use those findings to prioritize changes before adding more content or users.
A CLEAR STARTING POINT
What we need from you.
- A course outline, learner level, and learning objectives
- Content and practice material you have permission to use
- Example explanations and common learner mistakes
- Educator reviewers and requirements for learner data or assessment boundaries
Systems & integrations.
We assess access, supported APIs, and suitability during discovery. These tools are options to evaluate for your project.
- Approved course documents, lesson libraries, and question banks
- An existing learning website or mobile application through agreed interfaces
- LMS course and identity context where supported
- A chosen model provider and hosting environment
Illustrative example: step-by-step algebra support
A tutoring provider could commission an assistant for a defined algebra module. A learner asks for help with a worked example, and the tutor offers a hint linked to the relevant lesson before asking the learner to try the next step. Unclear or out-of-scope questions are routed to the provider's support process.
BEFORE WE BEGIN
Questions worth asking.
Can the tutor follow our curriculum?
We can design around the curriculum and approved materials you provide. Alignment needs educator review of representative topics and responses; it is evaluated as part of the project rather than assumed from a model's general knowledge.
Can it support more than one language?
Language requirements can be included in scope. The content, subject terminology, interface, and sample responses need review in each target language by suitable reviewers before wider use.
Will the tutor always be correct?
AI responses can contain errors. We design source use, uncertainty responses, evaluation cases, and educator escalation around the subject. The pilot makes remaining limitations visible to the people responsible for the learning experience.
Can it be added to an existing platform?
Yes, where the platform exposes a suitable integration route. We first assess the interface, authentication, course context, and deployment requirements, then scope the connection alongside the tutor.
WHITE STORM INSIGHTS
Plan your next step.
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LET'S START WITH YOUR GOAL
What would you like to make possible?
Tell us about your team, current systems, and the outcome you need.