We build the pipelines that turn unstructured documents, transcripts, and operational text into structured intelligence - so organizations in compliance-sensitive industries can finally act on what their data is telling them.
Compliance documents, vendor assessments, earnings transcripts, audit trails, customer communications - the most revealing information in any organization often lives in unstructured text. It's not that the data isn't there. It's that there's no infrastructure to make it legible at scale.
We design and build that infrastructure. Clean ingestion, careful transformation, structured output - engineered to preserve the meaning in the language, not just the words on the page.
End-to-end data pipelines from unstructured source to clean, structured, queryable output. Built for scale, designed for the specific demands of your text and your workflow.
AML/KYC documentation, vendor risk assessments, regulatory filings - structured and analyzed so your team spends less time processing and more time deciding.
Large-scale transcript and document datasets built for analysis - speaker-separated, section-isolated, multi-format. From raw API responses to research-ready corpora.
Language delta analysis revealing which import agency portfolios carried the most distinctly negative reception - before sales data reflected the problem.
A research-grade corpus built from raw JSON - Q&A sections extracted, executive voices separated, delivered in multiple formats for layered institutional analysis.
Resonant Analytics was founded in Montreal by a practitioner who has spent six years embedded in a behavioral language analytics environment - building data pipelines, leading technical client work, and developing the analytical instincts that come from working at the intersection of language, data, and commercial outcomes.
That background shapes everything about how we work. We don't just move data from one format to another - we think about what the language is doing, what structure will make it most useful, and what the output needs to enable for the people who will act on it.
We work with a small number of clients at a time, deliberately. The work requires focus and precision, and we'd rather do fewer engagements exceptionally well than scale at the expense of quality.
We work with a small number of clients at a time. If you're dealing with unstructured text at scale and not getting the intelligence you need from it, we'd like to hear about it.