Data Analysis
Put your data to work.
Make R&D more efficient
From measurement-data analysis and literature search to AI agents and optimal experimental design — we provide the algorithms R&D teams need.
Data Analysis
Experimental Design
Generative AI
01Bayesian Inference & Signal Processing
Streamline R&D with
automated spectral analysis.
Physics-based models and Bayesian inference separate weak signals from noise and quantify them. The system also estimates the probability that each candidate model best explains your data.
Talk to us about contract analysis & measurement02Bayesian Optimization & DoE
Find the best conditions in fewer experiments,
with optimal experimental design.
Predictive models and acquisition functions propose the single best condition to try next. Trade-offs between properties and constraints are handled too, dramatically reducing the number of experiments.
Talk to us about optimal experimental design
Predictions with uncertainty and next-condition proposals
03RAG & AI Agents
Automate everything from literature review
to report writing, with generative AI.
We build RAG systems and AI agents over your papers and internal documents, automating knowledge work from literature review to experiment reports.
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Generative AI built into research workflows
Challenges we solve
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What sets our technology apart
Case studies
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From algorithm development to system delivery.
Tell us about your analysis and experimental challenges. We propose a staged path from PoC validation to production use.