BermudaScope AI for scienceExplore freely,Verify rigorously.

Human creativity sets the direction. AI reasons, tests and builds evidence.

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RESEARCHER FIRST

See every step. Stay in control.

Humans lead the way

AskAdd expertiseSet direction

AI reasons and verifies

ReasonTest hypothesesBuild evidence

Human-led reasoning and verification Researchers review progress, add expertise and guide the work. AI frames questions, plans approaches and tests ideas. Evidence supports conclusions; failed tests lead to revision and another attempt. Human oversight Review · Add knowledge · Redirect Continuous reasoning and verification Evidence Ask Plan Test Conclude Failed Revise Try again Human-led research, continuous reasoning and verification Researchers guide the work throughout. AI asks, plans and tests, then draws conclusions supported by evidence. Failed tests lead back to revision and a fresh attempt. Human oversight Review · Add knowledge · Redirect Continuous reasoning and verification Ask Plan Test Evidence Conclude Failed Revise Try again

Features

Natural interaction, transparent reasoning and collaborating agents drive research forward.

01

Interaction

Human intelligence and AI reasoning, together in one reasoning tree.A Shared Reasoning Tree

Bring questions, expertise and data. Step in anytime to contribute ideas, refine reasoning and shape the research.

02

Transparency

See how findings emerge

Explore research paths, intermediate results and supporting evidence.
See how each conclusion takes shape.

03

Multi-agent Collaboration

Specialist agents, working together.

Agents decompose complex problems, explore in parallel, check results independently and share knowledge. Every step stays visible and traceable.

  1. Break a research task into connected subtasks. Agents research, reason and test, then bring their findings together.

Explore the reasoning tree

Start with a research task

Define your task and share your expertise. Work with agents to move the research forward.

  1. Define the goals, assumptions, constraints and intended contribution.