Resarcha
Join Early Access
A MORE CONTEXTUAL WAY TO LEARNCurrently in development

Study with context.
Not another chatbot.

Resarcha is an AI study companion that combines computer vision and large language models to understand what you're working on and help you learn, plan, and stay focused.

Join Early AccessSee how it worksBuilt around the way you actually study.
A STUDY SESSION, WITH CONTEXTConceptual experience
01 Your study material
Biology · Lecture notes01 / 04
CELL BIOLOGY

How cells make energy

Cellular respiration converts energy stored in glucose into ATP.

Glucose + oxygen → ATP + CO₂ + water
Why does oxygen matter?
Notes Documents Screenshots
02 Shared understanding

Multimodal context

Material. Meaning. Intent.

ClaudeReasoning layer
Cellular respirationConcept clarification
03 What helps next
Make the connection

Think of oxygen as the final receiver in an energy-transfer chain. Without it, the chain slows and cells make less ATP.

A USEFUL NEXT STEP

Explain why ATP production falls when oxygen is limited.

One concept. A clearer next step.
Visual context → multimodal understanding → Claude reasoning → personalized assistance

01 / THE STARTING POINT

Studying doesn't happen
inside a chat box.

Your learning context is spread across notes, slides, textbooks, and the task in front of you. Asking for help often means explaining all of that again.

We're designing Resarcha to understand your actual study context, so you can spend more attention on the material.

Handwritten notesLecture slidesTextbooksAssignmentsScreenshotsDocumentsApplications

One companion.
A more connected workflow.

Four capabilities we're bringing together in the first version of Resarcha.

01

Visual Understanding

Understand notes, documents, screenshots, and study material through multimodal perception.

FROM MATERIAL TO MEANING
02

Context-Aware Learning

Get assistance based on what you're actually studying instead of starting every conversation from zero.

A SHARED STARTING POINT
03

Adaptive Guidance

Turn context into explanations, questions, study plans, and next-step recommendations tailored to the current task.

HELP THAT FITS THE TASK
04

Focus Support

Structure study sessions, reduce unnecessary context switching, and keep progress visible.

ROOM FOR DEEPER ATTENTION

02 / HOW IT WORKS

From what you're studying
to what helps you learn.

A connected system, from the first visual input to the next useful step.

  1. STEP 01

    Observe

    The mobile application receives relevant study context through visual inputs, documents, or user interaction.

  2. STEP 02

    Understand

    Computer vision and multimodal processing identify the structure and meaning of the material.

  3. STEP 03

    Reason

    Claude acts as a core reasoning layer, combining context with the user's request to determine useful assistance.

  4. STEP 04

    Assist

    Resarcha produces explanations, guidance, questions, plans, or focus-oriented interventions.

BUILT WITH CLAUDE

Reasoning over context,
not just prompts.

Claude is a core part of Resarcha's reasoning layer. We use Claude to transform multimodal and contextual information into personalized explanations, study guidance, planning, and focus support.

Our goal is not to place another chatbot inside a study app. We are exploring how Claude can operate within a broader context-aware system that understands what the learner is doing and provides assistance at the right moment.

Resarcha is an independent product and is not affiliated with Anthropic.

RESARCHA / SYSTEM ARCHITECTURE

  1. Visual input

    Notes, documents, screenshots

    01

  2. Context extraction

    Structure and meaning

    02

  3. Claude

    Core reasoning layer

    03

  4. Reasoning & personalization

    The material + the learner's request

    04

  5. Study assistance

    Explanations, guidance, planning, focus

    05
Conceptual architecture of the product in development.

03 / RESEARCH DIRECTION

Research
before features.

We're exploring how multimodal AI can evolve from a general-purpose chatbot into a context-aware learning companion.

The questions guiding our development.

  1. 01

    How much context should an AI study companion retain?

  2. 02

    When should an assistant intervene versus remain silent?

  3. 03

    How can multimodal context improve learning assistance?

  4. 04

    How can AI reduce cognitive overhead rather than create more of it?

  5. 05

    How should explanations adapt to the learner's current understanding?

THE PRODUCT VISION

The best study assistant shouldn't wait for you to explain everything. It should understand where you are, what you're doing, and what would actually help next.

Resarcha

04 / WHERE WE ARE

Building the first version.

Resarcha is currently in active development. We're building and testing the first mobile prototype while exploring effective ways to combine visual understanding, Claude, and personalized study workflows.

  • Multimodal context engineIn development
  • Claude reasoning layerIn development
  • Mobile experienceIn development

BE PART OF THE FIRST CHAPTER

Interested in studying
with Resarcha?

Join the early-access list and we'll let you know when we're ready for initial users.