Questions, answered plainly.

Dashfeed is an AI native data platform that connects the systems your business already runs on, lands the data in a warehouse, models your metrics once, and then delivers dashboards, reports, analytics, and AI insights to your team through the channels they already use. One platform instead of five vendors and a person holding them together.

Two kinds of teams. Operators who need answers and do not have a data team to build them. And data teams who want to stop maintaining pipelines and dashboards so they can spend their time on analysis. If you have good data that nobody uses, that is what we fix.

A BI tool assumes the data is already clean, modeled, and sitting in a warehouse, and it assumes someone will remember to open it. Dashfeed does the ingestion, warehousing, and modeling first, then pushes what matters to the people who need it. Dashboards are one output, not the whole product.

No. It replaces the plumbing work and the vendor sprawl. Analysts keep deciding what the metrics mean and what is trustworthy. Dashfeed carries ingestion, warehousing, monitoring, and delivery so their time goes to investigation instead of maintenance.

CRMs like Salesforce and HubSpot, field service software like FieldRoutes, accounting like QuickBooks, ad platforms like Google Ads and Meta, commerce like Shopify and Stripe, support tools, spreadsheets, and databases. There are 300 plus connectors, and we add sources as customers need them.

No. Dashfeed can build and run a warehouse for you. If you already have Snowflake, BigQuery, Redshift, Postgres, or Databricks, connect it and keep it. Either way, your metrics are modeled in the warehouse and every number traces back to its source.

We define your metrics and KPIs with your team, in your warehouse, and sign off on them together. From then on the feed, dashboards, reports, alerts, and AI answers all read from those same definitions. There is one version of gross churn, not four.

The foundation work happens up front: connectors, the warehouse, and metric definitions agreed with your team. We scope that against your actual systems on the first call rather than quoting a schedule. Once it is built, adding deeper analysis is fast because it sits on something solid.

Yes. Dashfeed sits on top of the same warehouse, so existing tools keep working. Many teams move their dashboards over once the feed is doing the daily work, but nothing forces the switch.

In a feed your team scrolls, an email they read, a Slack channel they check, or a text on their phone. You choose the channel per person and per kind of insight, so the CEO gets the morning brief by email and the field manager gets the one-liner by SMS.

It watches your metrics continuously, flags what changed against thresholds, trends, and patterns you care about, and writes the why alongside the what: which segment, which account, which page. Every claim links back to the metric and rows it came from.

Yes. Ask in plain English, in the app or as a reply to an insight, and get the answer back as a report you can act on and share. For multi-step questions, an investigation can run across tables and come back with a finished analysis.

Answers are grounded in your modeled metrics, not free text. Each one cites the metric, connection, or rows behind it. If data is stale or partial, the answer says so instead of inventing a number. Anything that changes data or sends to an external system asks a human first.

Yes. Describe the dashboard in plain English and Dashfeed generates it on your modeled data, with filters, drill downs, and mobile layouts. You can edit it afterward, share it, or embed it.

A flat monthly fee with unlimited users. No per seat pricing, no charge per row, no surprise overages. The fee depends on whether we run the warehouse or you bring your own and how much of the stack we build, so we scope it with you on the first call.

AI credits power the insight feed, the dashboard builder, and the assistant. Each generated insight, dashboard, or answer uses credits. Every plan includes a monthly allocation and most teams stay well inside it.

Connect it and keep it. You get the feed, monitoring, and AI answers on the warehouse you already run, and the plan is priced accordingly.

Read access to the systems you connect, and a warehouse to land data in, either ours or yours. Credentials are stored encrypted and never shown back in the product. The AI assistant queries your warehouse with read-only, scoped credentials.

Access is per workspace and per person. Metrics, dashboards, and insights can be restricted to groups, and delivery is addressed to specific people, so a manager only receives the brief for their own region.

In the warehouse. If Dashfeed manages it, it runs in our cloud in the United States and is isolated per customer. If you bring your own warehouse, the data never leaves it, and Dashfeed reads from it on your terms.

Thirty minutes with the engineer who would build your stack. Bring a question you cannot answer today. We will look at the systems you run on, show the platform on numbers that look like yours, and tell you honestly whether Dashfeed is the right fit.

Field service first: pest control, roofing, plumbing, and HVAC each have a ready-made morning brief built from the software those businesses already run. Other industries start from the same platform with metrics modeled for how they operate.