Responsible AI // GDPR & EU AI Act ready

Conversational learning, built for an AI-first world

Use AI agents in dynamic, conversational assessments or casual exercises to improve learning and evaluate how students think, adapt, and communicate.

Compliance built-in.

Our platform aligns with both GDPR and EU AI Act.

Assess agency, evidence of learning, and reasoning without banning the use of generative AI in your classroom.

Audio-native agents

Dialogue-based learning students won't offload to their AI chatbots

Build AI agents that follow custom playbooks and conduct student interviews at scale to assess learning progress, thinking, and reasoning.

Automate dynamic, post-submission probes to verify how much agency and ownership students have over the work they submit.

How agentic role-plays helped entrepreneurship students learn qualitative research.

User interface of Socratic rebuttal agent showing instructions for providing formative feedback to students using a Socratic method, with agent type dropdown and test submission selection.

Oral assurance for stronger evidence of learning, designed for a world of AI and browser agents.

Flowchart of hybrid assignments showing steps from student submitting work to agent reviewing, interviewing, and providing instant or human feedback.

Deepen learning and verify understanding by requiring students to actively articulate and defend their written ideas during a dynamically tailored AI interview.

Tailor the evaluation process by allowing educators to choose between providing instant, rubric-based AI feedback or conducting a nuanced human review of the complete interview transcript.

Flowchart of oral assignments showing a student starting an interview, then an agent interviewing the student with images or slides, followed by instant AI-generated feedback and human educator feedback.

Foster dynamic, active learning by immersing students in conversational assessments where AI agents can present visual materials like slides or whiteboards to test real-time comprehension.

Provide flexible evaluation pathways by allowing educators to choose between delivering instant, rubric-based AI feedback or conducting their own detailed human review using the interview transcript.

Flowchart showing a student submits written work leading to two types of feedback: instant feedback, which is rubric-based and AI-generated, and human feedback, where an educator reviews the transcript.

Cultivate structured thinking and argumentation by providing a focused avenue for students to synthesize research and articulate complex ideas through comprehensive written submissions.

Maintain complete assessment control by choosing whether to deploy immediate, rubric-aligned AI feedback for rapid formative assessment, or to conduct a traditional, in-depth human review of the student's work.

Step 1

Build your agent

Provide simple instructions, add tools and context to your agent.

Step 2

Connect your agent

Connect your agent with a new or existing assessments or exercises.

Step 3

Automate interviews

Scale oral and hybrid interviews through a dedicated student portal.

Surface real evidence of learning, mastery, and understanding with our end-to-end platform for conversational learning.

Built for speed

Jot down thoughts as they come. Claire translates raw comments into actionable, encouraging feedback.

30%

Faster grading turnover with AI suggestions and voice-to-text.

UI to approve AI suggestions on student assignment

Tab, tab, tab ⇥ to approve

Claire writes repetitive grading remarks for you, which you can approve or reject as you see fit.

80%

of grading remarks written by Claire are approved by users.

Backed by the latest research in educator-AI collaboration, assessment, and feedback.

Discover more supporting research here.

Li, Y., Shan, Z., Raković, M. et al. When AI explains in natural language: Unveiling the impact of generative AI explanations on educators’ grading and feedback practices. Educ Inf Technol (2025) | View article

Henderson, M., Bearman, M., Chung, J., Fawns, T., Buckingham Shum, S., Matthews, K. E., & de Mello Heredia, J. (2025). Comparing Generative AI and teacher feedback: student perceptions of usefulness and trustworthiness. Assessment & Evaluation in Higher Education, 1–16 | View article

Feedback is hard. We help you write it.

Personalization is key to a more impactful learning experience, but relying solely on Al misses the nuances and depth of human feedback.

AI or manual feedback

Provide formative feedback instantly through AI agents or conduct manual reviews when preferred.

Request demo

Feedback summary of instructor's notes displaying an 85% grade and detailed comments on business course concepts, assignment focus, and writing style improvements.

Shows a user interface dialog to publish a feedback report to the web

Publish in just a few clicks

Publish feedback reports to a dedicated student portal. Fully customizable, backed by research.

Request demo

AI-first, responsible, and EU-compliant platform

Claire's unified platform enables educators to build custom audio-native agents to conduct oral assessments, assignments, and casual learning scenarios at scale.

AI has made written output dramatically cheaper to produce. Traditional written assignments are losing signal.

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Most AI tools automate assessment. We don't. We keep you compliant.

Humans stay responsible. Claire is built to support human judgment, not replace it. Educators remain accountable for decisions that matter.

AI does not act without approval. Potentially meaningful AI suggestions are designed to stay pending until a human explicitly reviews.

Transparency is built in. AI use should be clear, not obscured. Claire makes it easy to explain when AI is used and what role it plays.

Privacy shapes system design. Claire is built with data minimization, controlled handling of student information, and strong data protection in mind.

Auditability is not an afterthought. Important AI actions, approvals, and outputs are structured to support traceability.

Built for high-risk use cases. Claire provides all the tools needed to integrate AI responsibly into various assessment and feedback workflows.

Conversational learning, built for an AI-first world

AI to augment your expertise, not automate grading.