Unlock Insights. Scale Seamlessly. Monetize Faster.
Accelerate time-to-market while retaining full data and algorithm control
Save years of development time and resources on non-core software tasks by integrating Tilebox's use case and data agnostic solution. Eliminate the need for large maintenance teams and optimize in-house innovation leveraging Tilebox.
Process data in multiple locations as it is downlinked using cost-effective infrastructure, reducing processing costs and data movement. Experience high reliability (>99.9% uptime) for uninterrupted performance.
Unlock the full potential of your satellites, from pre-launch to full constellation, and boost revenue generation by leveraging Tilebox's managed datasets and high-performance APIs. Seamlessly grant your clients instant access to valuable insights, accelerating monetization of your data.
Take full control over your space mission's data with Tilebox's dedicated enterprise deployments within your chosen region. Benefit from real-time telemetry monitoring and centralized authorization for prompt alerts and faster issue resolution, minimizing downtime.
Built by developers for developers. Improve productivity with Tilebox.
Instantly access algorithm development, raw data, and results in your preferred environment using our high-performance APIs and well-documented resources. Work smarter, build faster.
Transition from batch to near-real-time processing without complex paradigm shift with Tilebox, ensuring a seamless execution. Spend time building, not battling.
Stay updated on your satellites and pipelines with aggregated logs, metrics, and traces. Soon, alerting integrations will further enhance real-time awareness of on-board events and pipelines.
Built for developers, optimized for Space Data. You wouldn’t open your *.docx files in an XML editor. Work with your space data the way it is meant to be.
from datetime import datetime
from custom_tilebox_client import Client
# Securely access your data for development or in production
token = os.getenv('TILEBOX_API_KEY')
client = Client(default_data_source='FLIGHTMODEL_ID')
# Access attitude determination and control data
adcs = client.telemetry_adcs()
meta = adcs.get_metadata()
# Access and quickly visualize data of your specific datasets
rad = client.radargram()
meta = rad.get_metadata()
radar_event = rad.get_event(event_id)
psd = rad.calculate_psd(radar_event)
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