Purpose-built for high-stakes work - and configured to the way you actually work. Every document, dataset, and decision that matters to your organization.
The depth generic AI can’t reach, every answer traceable to its source — set up around your data and the way your team works.
Nothing skipped — your whole corpus, every time
Reads every filing, transcript, memo, and dataset you connect — thousands of pages in a single answer, the research generic AI can’t reach.
Full-year guidance was raised — management cited margin expanded1 and leverage stepped down2.
Every claim traced — to its source paragraph
Every claim traces to its source paragraph. Nothing made up, nothing to double-check by hand — built to stand up in committee.
Tuned to your structure — no shared model
Tuned to your corpus, your house format, and the way your team works — deployed single-tenant in your VPC, never training our models.
One engine, tuned to the language and the stakes of each sector.
CalQuity reads across every source, reasons in steps, and answers with citations — then automates the repeatable work so your team stops rebuilding the same research by hand.
Enterprise search. Ask any question in plain language; it reads across every source and returns a precise answer.
The AI Grid where you define rows and columns; every cell comes back filled with a cited answer.
Every claim links to the exact source paragraph. Audit-ready.
Set it once; it runs on a schedule, an event, or always-on.
Pre-built for research, summarize, monitor, review.
One workspace, with role-based access built in.
Single-tenant, VPC, and more. No training; encrypted in transit and at rest.
See every capability in depth — the full walkthrough, end to end.
of answers cited to source
reports generated annually
pages processed
pages read to answer a single query
CalQuity’s earnings call copilot cuts down a lot of manual work and gives us the speed we need during results season. We save more than 90 minutes on every earnings call we cover, and across hundreds of calls each quarter, that becomes a very meaningful amount of analyst time.
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Practical notes on regulated AI, research automation, and deployment patterns from teams doing the work.
See CalQuity answer on your own data — every claim cited, your data isolated and never shared.
AskWhat did management say about Q3 margins?
Gross margin expanded year over year, supporting the raised outlook1.
Annual Report, p.42 §MD&A — “gross margin expanded year over year, supporting the raised full-year outlook.”
