Meet Spectra, the AI agent for NMR analysis

Upload a spectrum and Spectra ranks candidate structures, so your chemists review a shortlist instead of starting from a blank plot.

Product — Spectra Agent

From unknown peaks to a ranked shortlist

Interpreting an NMR spectrum still means a specialist reading it by hand, one spectrum at a time. Spectra turns that first pass into a ranked list of candidates, with confidence scores, so experts spend their time on the decision rather than on hunting peaks.

Spectra is an agent you use directly in the browser. It is distinct from Rombo AI Platform, which standardizes validated NMR workflows across industrial laboratories.

Spectra, the Rombo AI agent for NMR analysis

Why spectral interpretation slows teams down

An unknown or only partly known compound can take days or weeks to assign. The work is hard to repeat across analysts, and the queue grows every time a new library, impurity, or extract arrives.

Experts stuck on first-pass review

Senior chemists spend hours comparing candidates instead of confirming the structure that actually matters.

Decisions wait on the spectrum

Discovery, impurity investigations, and validation stall while the identification sits in an expert queue.

The method does not scale

A manual workflow cannot stay consistent across larger compound sets, sample batches, or multiple project teams.

How Spectra works

Upload an NMR spectrum to spectra.rombo.ai. The agent highlights patterns, proposes structures, and ranks them. Your chemists keep the final call, with a shortlist instead of a blank page.

Upload the spectrum

Bring NMR data and sample context into one review workspace instead of scattered files and notebooks.

Match spectral patterns

The agent flags the features that discriminate candidates, so you skip the repetitive first pass.

Rank candidates

Get a scored shortlist of plausible structures so expert time goes to the options that fit the data.

Review and confirm

Chemists stay accountable for assignment, validation, and the project decision.

What changes in the lab

  • Cut identification from days or weeks toward about one hour in a focused proof of concept.
  • Spend less expert time on peak picking and candidate comparison.
  • Get the same ranking logic across analysts, projects, and compound classes.
  • Handle larger libraries without dropping scientific review.
  • Keep a clear trail from spectrum to shortlist to the reviewed outcome.

Who it helps

  • Discovery teams get structural hypotheses sooner and prioritize the next experiment faster.
  • Analytical chemists review and validate instead of screening every peak by hand.
  • Impurity teams move from an unknown signal to a candidate explanation without waiting in the expert queue.
  • R&D leads get a repeatable workflow for high-value assignments.

Where teams use it

Unknown compound ID
Impurity analysis
Metabolite characterization
Natural extracts

For a detailed walkthrough, read the NMR compound identification use case.

Looking for validated industrial workflows?

Rombo AI Platform standardizes automated, traceable NMR workflows across laboratories, instruments, sample types, and sites.

Explore Rombo AI Platform

Analyze a spectrum with Spectra

Open Spectra, upload an NMR file, and get ranked candidates with confidence scores. Keep your chemists on the final assignment.