Authored By: Derick Greyling, Principal Software Development Engineer, and Javier Morales, Program Manager
Organizations building unified geospatial intelligence collection pipelines face a fundamental friction point: every satellite constellation requires its own API integration.
Being able to dynamically task across multiple constellations is fundamental requirement for many of today’s missions. Customers need access to high resolution electro-optical for exquisite detail, synthetic aperture radar (SAR) for cloud cover, and high-revisit electro-optical for wide-area monitoring.
But customers should not have to absorb the overhead for building new codebases to task each of these different sensors. It creates too much of a burden on time and resources.
Last week, Vantor's rolled out a tasking API ugrade as part of our WorldView™ SAR tasking launch in Hub that eliminates this trade-off.
We built a single API that tasks across our virtual constellation: our own high-resolution electro-optical constellation, Umbra's SAR satellites—and soon—high-revisit electro-optical satellites.
Customers integrate once and access all three providers through the same base URL, with standardized request formatting and unified status tracking.
How we did it: Engineering a new approach for unified access
The technical challenge we faced was to create a single interface that accommodates different tasking protocols without forcing customers to determine the nuances between constellation-specific requirements and processes on their own.
This required a singular API with shared code across providers to guarantee users experience a familiar integration experience, tasking request structure, and statusing mechanics. Delivering this singular API prioritizes developer efficiency now so that we can easily integrate more virtual constellation partners as they get introduced.
This isn’t an easy challenge. Every satellite constellation operates differently. Each has unique tasking protocols, status reporting mechanisms, and delivery formats. To build a unified API, you need to deeply understand tasking parameters for each constellation (and even different satellites within those constellations).
Our engineering team approached this by building an abstraction layer that maps universal tasking parameters to constellation-specific formats, working closely with our partners and in-house experts to ensure the nuances of each constellation are correctly coded.
When a customer submits a tasking request through Vantor's unified tasking API, the system:
- Validates the request against universal parameters (coordinates, collection window, resolution requirements)
- Translates the request to constellation-specific format
- Manages authentication and submission to the target provider
- Normalizes status responses back to a consistent format
- Returns imagery through a unified delivery pipeline
A unified API removes friction from operational workflows. Instead of maintaining three separate integrations, organizations write code once and access multiple constellations. Instead of routing requests through different systems based on sensor type, analysts task from a single interface.
Operators can task in a consistent way across providers of both electro-optical and SAR imagery, ensuring they get the imagery they need without the burden of determining how to get it as our offering expands for any partners who have been integrated into the API.
And for automated collection systems, this unified approach removes branching logic. Instead of separate code paths for each provider, the pipeline submits standardized requests and the API handles routing.
In short, removing integration complexity means faster deployment, simpler maintenance, and more time spent analyzing imagery rather than managing data acquisition infrastructure.
Improving speed-to-market through AI-assisted coding
Our engineering teams are laser-focused on delivering production-ready capabilities at mission speed, and we’re always looking for ways to accelerate code development. In this case, we used AI-assisted coding tools to dramatically reduce project timelines.
Work that typically takes multiple sprints was completed in hours. Routine refactoring tasks that would have consumed days happened in minutes. This allowed our engineers to focus on complex integration logic rather than boilerplate code. This also gave us more time to validate and test the code while still reducing overall timelines.
Advancing the technical foundations for spatial intelligence
This unified tasking system represents a broader principle: spatial intelligence requires integrating data from multiple sources without burdening users with integration complexity.
Vantor is building a system that provides that foundation. Our partners integrations extend our platform capabilities. A unified API makes it accessible to end customers. The combination gives customers flexibility without adding complexity. That’s the ultimate win-win.
About the authors: Derick Greyling and Javier Morales are both on Vantor's Platform Services Engineering team, where they focuses on evolving and innovating core capabilities for Vantor's Tensorglobe platform and Hub environment.