Pulse turns plain-language questions into dashboards, written reports, and slide-ready decks — generated from your real data, in English or Spanish. No SQL, no BI training, no two-day wait on the analyst team.
Pulse turns plain-language questions into dashboards, reports, and command-ready decks — generated from your real data, in English or Spanish. Built for command staff and program directors who need to see the numbers before the briefing, not after it.
Ask in plain language. Pulse reads your data and answers in the format you need — dashboard, written report, or slide-ready deck.
Ask a question in English or Spanish; Pulse generates a complete dashboard — charts, tables, segments, filters — from your data. Not a template fill-in. Built fresh per question.
Same prompt, different output: a written report with analysis and supporting visuals. For when the audience reads, not clicks.
Native export to PowerPoint, Google Slides, and PDF — with charts, narrative, and your branding. Skips the "now-make-it-into-slides" tax that kills most BI workflows.
Every chart, table, and claim in a Pulse report points back to the data that produced it. Defensible in front of an exec team, a city council, or an open-records request.
Reads your warehouse (Snowflake, BigQuery, Redshift), production databases (Postgres, MySQL, SQL Server), CSV uploads, REST APIs, and unstructured files (PDFs, audio, video, images) — combined in the same prompt.
"Now break that down by region." "Compare to last quarter." "Show only the top 10." Pulse keeps context across questions — like working with an analyst, not running a search engine.
Ask in English, get answers in English. Ask in Spanish, get answers in Spanish. Not a translation layer — the model operates in both languages natively. Reports can be generated in either, regardless of which language the prompt was in.
Upload a PDF, audio file, video, or image and Pulse turns it into queryable data. Audio gets transcribed. PDFs get parsed into tables. Video gets scene-tagged. Then it all joins your structured data, ready to query alongside everything else.
This is the actual Pulse interface, running on demo data. Chat with it, see what it does.
The honest answers procurement, IT, and data leads ask about first.
Pulse plugs into your existing data stack — not a separate warehouse, not a new ETL pipeline. Six entry points cover almost every deployment.
No. Pulse connects to whatever data infrastructure you already run — warehouse, production database, file storage, internal APIs. We don't require a separate Pulse warehouse, and we don't copy your data into our environment unless you explicitly want SaaS-hosted analytics with cached query results.
Three things: Pulse reads your real live data sources (not just files you paste in), it generates production-quality outputs with consistent branding (dashboards, decks, reports — not chat replies), and every claim ties back to a verifiable data source. ChatGPT on a CSV gives you a one-time answer; Pulse gives you a reproducible workflow.
You ask Pulse for, say, "a board deck on Q3 revenue performance by region." Pulse generates the charts, writes the narrative around them, lays them out in slide format, and exports to PowerPoint, Google Slides, or PDF — with your branding applied. Native export, not screenshots. Editable in PowerPoint or Slides after the fact.
Every chart, table, and quantitative claim in a Pulse output cites the underlying data — you can click through to see the rows, the query, and the source. If a number can't be defended against the source data, it doesn't appear in the output. The narrative around the numbers is generated, but the numbers themselves are deterministic.
Pulse natively operates in English and Spanish — you can prompt in either language and ask for output in either language. The two languages are first-class, not via a translation layer. Useful for teams that operate across the US-Mexico border, but also for public-safety agencies where briefings need to land in both languages.
Yes. Pulse is available as SaaS (we host, you connect) or as an on-premise installation inside your environment. On-premise is the typical choice for sensitive deployments — law enforcement, dispatch, regulated industries — where data residency and customer-managed keys are non-negotiable.
Bring a dataset. We'll run Pulse on it in a 30-minute session and show you what it produces.