New: Rowan, your AI navigator for Earth observation.Find, compare, and order satellite imagery faster

Rowan

Your AI Navigator for Earth Observation

Tell Rowan what you need in plain language. It finds the right imagery, recommends suitable analytics, sets up tasking, and works across your existing SkyFi resources to move the workflow forward.

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Rowan setting up a satellite tasking order over an area of interest

Trusted by 10,000+ companies worldwide to monitor, plan, and respond.

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How Rowan works

Ask for what you need. Rowan handles the rest.

Describe the location, timeframe, or result you need, and Rowan translates it into the right SkyFi workflow. You do not need to start with a satellite, sensor, resolution, or product name.

Try Rowan
Rowan searching the satellite imagery archive from a plain-language requestRowan comparing tasking resolution and capture-window optionsRowan preparing a tasking order with area, product, and price details ready for the cart

Ask

Start with what you need

Describe the location, timeframe, or objective in plain language. Rowan turns the request into the technical requirements needed to start the workflow.

Decide

Find the right data

Rowan searches suitable imagery, tasking options, and SkyFi analytics, then surfaces the options that best fit the request.

Act

Move the workflow forward

Ask Rowan to prepare the next step, whether that means configuring tasking, selecting an analytic, finding something you already own, or preparing imagery for purchase.

For analysts and teams

Start with the question, not the satellite.

Rowan helps teams turn real-world requirements into the imagery, products, and SkyFi workflows needed to answer them.

Planet Labs satellite imagery of a coastal industrial site, credited to Planet Labs, delivered by SkyFi

Track physical activity behind public companies

Follow construction and expansion at facilities such as data centers, factories, fulfillment hubs, and other strategic sites.

Find recent imagery of Ras Laffan and show me options for a fresh capture next month.

Rowan workflow

Locate site → Set AOI → Search archive → Compare tasking → Prepare order

Vantor satellite imagery of a shipyard facility, credited to Vantor, delivered by SkyFi

Get the right imagery for critical sites

Move from a project location or monitoring requirement to suitable imagery without manually researching every provider, sensor, and resolution.

Find high-resolution imagery over Dalian Shipyard from the last 60 days.

Rowan workflow

Search existing imagery → Evaluate coverage → Check tasking → Compare options

ICEYE US SAR satellite imagery of a facility, credited to ICEYE US, delivered by SkyFi

Spend less time navigating products and past orders

Find existing imagery, saved areas, previous orders, analytics, and new acquisition options from one conversation.

Find my previous orders over the “Russian Site A” AOI and tell me if I already have recent imagery.

Rowan workflow

Find AOI → Search account resources → Surface existing imagery → Recommend next step

Why Rowan

An AI navigator that works inside the platform.

Rowan works across SkyFi enabling you to access the world’s largest virtual satellite constellation and turn geospatial data into decision-ready answers. Rowan is your own AI-navigator for Earth intelligence.

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Rowan's chat panel alongside the SkyFi platform's imagery ordering and map tools

Understands the request

Start with the outcome, location, timeframe, or requirement.

Knows your SkyFi resources

Work with saved AOIs, previous orders, delivered imagery, and cart details.

Navigates product complexity

Find relevant imagery, tasking options, resolutions, sensors, and analytics.

Keeps decisions visible

Review technical choices, pricing, and purchase details before moving forward.

FAQ

Rowan frequently asked questions

Rowan is SkyFi's native AI navigator for Earth observation, built into the platform so that a plain-language question about any location becomes a complete imagery workflow. A request names the place, the timeframe, or the outcome, and Rowan turns it into the technical requirements an order needs, including an area of interest, a date range, a product type, and a resolution class. From there Rowan searches the archive, compares tasking options, recommends suitable analytics, and prepares the order for review. No satellite jargon, GIS software, or remote sensing background is required at any point in that sequence.

Rowan draws on the full set of analytics available in the SkyFi platform, which includes object detection and classification for counting buildings, vehicles, and vessels, change over time monitoring for before-and-after comparison of a site, material detection through spectral analysis, vegetation and water indices such as NDVI and NDWI, and topographic models. Rowan recommends the analytic that fits the stated objective rather than requiring a user to know which one applies, confirms the capture it should run against, and prepares it alongside the imagery in the same conversation, so there is no separate tool to open and no second workflow to learn.

Rowan searches the SkyFi archive of past captures across more than 300 satellite and aerial sources, and it searches the imagery an account already owns, so a scene that has already been purchased is not bought a second time. When existing coverage falls short of the area of interest, Rowan identifies the part that is missing and compares new tasking options to fill it, weighing resolution, capture window, and provider against what the request calls for. Cloud-cover forecasts for each candidate window form part of that comparison, which is what separates a usable capture from a paid image of cloud.

Rowan carries out multi-step geospatial work inside a single conversation, resolving an area of interest, searching the archive, checking what the account already holds, comparing tasking windows, and preparing an order with analytics attached, without a handoff to a different tool at each stage. Enterprise and government teams run the same workflow, shaped by SkyFi's experience supporting operational customers in both sectors, and the platform is available in self-serve and secure deployments to match the environment a team works in. Oversight stays with the operator, because Rowan recommends and prepares while the account holder confirms every purchase.

Rowan removes the expertise barrier by asking for the things that actually decide an order and translating the answers into a workflow. Rather than expecting a user to name a sensor or a resolution class, Rowan asks what the imagery needs to show, how often the location should be revisited, and what budget applies, then matches those answers to suitable archive captures, tasking windows, and analytics. Pricing and technical choices stay visible at each step, so the reasoning behind a recommendation can be reviewed and changed before anything is ordered.

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