Multimodal research
Vision language and structure
Encode microscopy, diffraction, and spectra with text to reason across modalities. Align images, sequences, and graphs with contrastive learning.
Bridging AI and Science for real world breakthroughs
Sci Bridges unifies modern artificial intelligence with scientific workflows. From multimodal models and knowledge graphs to materials discovery, we build experiences that move ideas from lab to impact.
Knowledge graphs
Multi hop reasoning
Traverse structured knowledge with retrieval and agents. Verify, cross check, and generate new hypotheses with evidence trails.
Materials AI
Design and discovery
Predict space groups, generate structures, and rank candidates with uncertainty. Close the loop between simulation and experiment.
Semantic pipeline
// Pseudo code for a science aware RAG step
const query = "predict layer group for monolayer 2D material";
const ctx = recall({
composition: "MoS2",
electronDiffraction: "SAED pattern",
instruments: ["TEM", "EDS"],
});
const plan = agent.plan(query, ctx);
const evidence = graph.search(plan.entities);
const answer = model.generate({query, evidence, ctx});
return verify(answer).with(evidence);Where AI meets science
From hypotheses to validation, Sci Bridges connects models, data, and tools so researchers can ask richer questions and move faster with confidence.