Pulse

Analytics,
in your own words.

Ask the data.
Brief the chief.

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.

DEPLOYED FOR
Government program offices Public safety leadership Multi-site operators Enterprise security teams
What it does

Understand your data by chatting with AI.

Ask in plain language. Pulse reads your data and answers in the format you need — dashboard, written report, or slide-ready deck.

01

Prompt to dashboard

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.

02

Prompt to report

Same prompt, different output: a written report with analysis and supporting visuals. For when the audience reads, not clicks.

03

Prompt to deck

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.

04

Source-cited outputs

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.

05

Multi-source connectors

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.

06

Conversational follow-up

"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.

07

Native bilingual

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.

08

Unstructured to structured

Pulse ingests PDFs, Word docs, audio, video, and images — and turns them into structured, queryable data. Audio gets transcribed and diarized. PDFs get OCR'd and tabled. Video gets scene-segmented and object-tagged. Then everything joins the rest of your data, ready to query in the same prompts.

Live demo

Try it. No demo call required.

This is the actual Pulse interface, running on demo data. Type a question, see what it does. No signup, no recording, no follow-up email.

app.usepulseai.com/dashboard/chat
Pulse runs in a separate tab. Open full screen for the complete experience.
How it runs

Production specs.

The honest answers procurement, IT, and data leads ask about first.

Data sources
Structured: data warehouses (Snowflake, BigQuery, Redshift), SQL databases (Postgres, MySQL, SQL Server), CSV/file uploads, REST APIs. Unstructured: PDFs, Word docs, audio (transcribed and diarized), video (scene-segmented and object-tagged), images (OCR and metadata). All sources can be combined in a single prompt.
Output formats
Interactive dashboards, written reports, and exported decks (PowerPoint, Google Slides, PDF). Charts also exportable as PNG / SVG.
Languages
Native English and Spanish — both prompts and generated content. The model operates in both, not via translation. Other languages on request.
Deployment
Cloud SaaS (Pulse-hosted) or on-premise (customer infrastructure). For sensitive environments, on-premise keeps all customer data inside the customer's network.
Training data
Tuned on real operational queries and report patterns from customer deployments — not synthetic benchmarks. Each customer environment gets calibrated to the data shapes and metric language used by that team.
Data residency
For Mexico deployments, data stays in country. For US deployments, data stays in the US. On-premise installations never leave the customer network.
Authentication
SSO support (SAML, OIDC). Per-user query history. Role-based access tied to your existing identity provider.
Refresh
On-demand, scheduled (hourly / daily / weekly), or webhook-triggered. Cached results for repeated queries; live for time-sensitive dashboards.
Integrations

Reads what you already have.

Pulse plugs into your existing data stack — not a separate warehouse, not a new ETL pipeline. Six entry points cover almost every deployment.

SQL databasesPostgres · MySQL · MSSQL
WarehousesSnowflake · BigQuery · Redshift
CSV / filesUpload · S3 · GCS
REST APIAny documented API
DocumentsPDF · DOCX · OCR
Audio / VideoTranscript · scene tags
ImagesOCR · EXIF · entities
Identity (SSO)SAML · OIDC
WebhooksTrigger · Notify
Common questions

What buyers actually ask.

Do we need to move our data anywhere?

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.

How is this different from ChatGPT plus a CSV?

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.

How does the deck export actually work?

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.

Can it hallucinate? How do we trust the numbers?

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.

What languages does Pulse work in?

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.

Can we run Pulse on our own infrastructure?

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.

See it work.
Then decide.

Bring a dataset or a question. We'll run Pulse on it in a 30-minute session and show you what it produces — not slides, not a deck about Pulse. Actual output on your data.

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