Conicorn

a living map of scientific knowledge

Scientific intelligence infrastructure for the quantum era — built so people can explore, connect, and understand what humanity knows.

001
who we are
Universum Labs is building a scientific knowledge graph that helps people navigate complex research, connect ideas across disciplines, and see how discoveries relate to one another.

We are starting with quantum science and expanding toward a broader map of physics, AI, space, climate, and emerging technologies — creating infrastructure for a future where knowledge is easier to explore, understand, and apply.
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values

Why Choose Universum Labs

We believe scientific knowledge should be easier to access, easier to connect, and easier to build upon. Universum Labs is designed for researchers, students, companies, policymakers, and curious minds who want to understand not just individual papers, but the larger structure of discovery.

01
Knowledge Should Be Navigable
Scientific literature is expanding faster than any person can reasonably track. We organize research into connected concepts, problems, tools, methods, and applications so users can move through knowledge with context.
02
Discovery Happens Through Connection
Many breakthroughs happen when ideas from different fields meet. Our graph is designed to reveal relationships across disciplines, helping users see patterns that are easy to miss in linear search.
03
Science Should Be Accessible
Universum Labs is built around the belief that access to scientific understanding should not be limited to institutions, credentials, or insider networks. We want to help more people participate in the future of discovery.
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Capabilities

Scientific Intelligence Infrastructure

Interactive Knowledge Graph. Explore scientific concepts, papers, problems, applications, and methods through a dynamic visual interface.

Concept-level exploration
3D graph navigation
Search and filter by topic, method, problem, or application

Research Mapping. Transform complex bodies of literature into structured maps that show how ideas relate to one another.

Paper-to-concept mapping

Problem and solution identification

Research trend visibility

Cross-disciplinary connections

Scientific Discovery Intelligence. Use structured knowledge to identify emerging patterns, promising research directions, and overlooked connections.

Discovery landscape analysis

Emerging technology mapping

Opportunity identification

Strategic research intelligence

Enterprise Knowledge Graphs. Custom scientific and technical knowledge maps for organizations working in quantum, AI, space, climate, and deep tech.

Internal research intelligence

Competitive landscape mapping

Technology scouting

Strategic decision support

Educational Exploration Tools. Create more intuitive ways for students, professionals, and the public to understand complex scientific domains.

Guided learning paths

Concept explainers

Visual knowledge journeys

Accessible scientific context

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process

How We Work

A structured process for turning complex scientific information into usable knowledge infrastructure.

01
Discovery & Scope
We define the scientific domain, audience, use case, and core questions the knowledge graph needs to answer.
Knowledge Architecture
We design the initial graph structure, including concepts, problems, tools, methods, applications, and relationships.
02
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Research Intake
We collect and structure relevant papers, datasets, reports, and technical sources.
Mapping & Validation
We map relationships across the literature, refine the graph logic, and review connections for accuracy and usefulness.
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05
Interface & Exploration
We turn the knowledge structure into an interactive experience that users can search, explore, and learn from.
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team

Meet the Universum Labs Team

Cierra Lunde
(CEO & Co-founder)
Sandro Bilobrk
(COO & Co-founder)
Autumn Loveless
(CTO & Co-founder)
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FAQs

Common Questions

1
What is Universum Labs?
2
What is the first focus area?
3
Who is Universum Labs for?
4
Is this a search engine?
5
How is this different from a traditional database?
Have any other questions?
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