Cognitive Space

Excellent blog post by our exceptional CTO Michael Dax Garner and our valued partners at Amazon Web Services (AWS) Alan Campbell on building a modern satellite Cloud Mission Operations Center (CMOC) using state of the art building blocks in an AWS environment. This is modern space infrastructure in the making. Very proud of the hard work of our team for making this possible and our contributions to moving space forward! #Satellite #CMOC #MissionOperations #AWS #CNTIENT #AI Read more here: https://lnkd.in/ghRcnGDD

AI is revolutionizing space exploration, but there's a catch: data. Training effective AI models requires high-quality, specialized data sets. The challenge? Space data is complex and often proprietary.  Our President & COO Hanna Steplewska MSc recently joined other industry experts on a panel discussing the need for standardized data collection and responsible data sharing to propel innovation. Check out a recap of the panel here: https://lnkd.in/gtpsNFHT #AI #SpaceExploration

Reach out if you are heading to ESRI UC 2024! We just released a new product CNTIENT.Earth. Super excited to get the geospatial community's feedback on how to solve reliability, scalability and speed for multi-provider space data ordering.

Heading to the Esri User Conference in San Diego next week? Our Founder & CEO Guy de Carufel and COO Hanna Steplewska will be roaming the Expo floor and sessions with CNTIENT∙Earth demos and gathering user feedback. Be sure to stop them for a chat about all things multi-data provider #orchestration and automation at #scale for #geospatial #analytics... #esriuc #satellitedata

Who better to give you a guided tour of CNTIENT∙Earth than one of the engineers involved in building it? Watch our Senior Software Engineer Izzy Hyman give a quick introduction to: 🧠 AI-Assisted Tasking: Easily creating and submitting single or recurring requests using natural language, and ☁ AI/ML-powered Feasibility Analysis: Reliable, ongoing order feasibility that understands the dynamic nature of the data providers’ supply chains and empowers satellite data consumers to make order decisions accordingly. Link to video in comments below because algorithm 👇 There's a lot more under the hood and many more features that we will share in upcoming product snippets, so keep an eye on this Page 👀

With all this excitement about CNTIENT-Earth going live, we have even more great news - we're #hiring If you have a passion for mathematical problem solving, are interested in building intelligent space systems to modernize satellite operations and a background in operations research, mathematics and/or computer science we'd love to hear from you 👇

✨ CNTIENT∙Earth is Live ✨ 🧠 AI-Assisted Tasking: Easily create and submit single or recurring requests using natural language. ☁ AI/ML-powered Feasibility Analysis: Reliable, ongoing order feasibility that understands the dynamic nature of the data providers’ supply chains and empowers the user to make order decisions accordingly. 👩💻 User-Friendly API: Seamless integration with your existing systems and workflows for true Machine-To-Machine (M2M) operation. ✅ CNTIENT∙Earth unlocks AI-powered intelligence to help data analytics companies and other satellite data consumers understand the current and ongoing tasking feasibilities of multiple satellite data providers and sensor morphologies and place orders to maximize the probability of successful data acquisition. ✅ CNTIENT∙Earth scales to manage highly complex and dynamic order scenarios with demanding mission requirements like ongoing site monitoring and tip-and-cue. ✅ Analytics-ready to support feature extraction, object detection, and chain of custody systems, CNTIENT∙Earth removes the cognitive burden of requesting and evaluating the complex and diverse interactions with data providers for feasibility assessment and order responsiveness. Developed by a team with deep expertise in Earth observation constellation operations & data delivery, Earth observation product development, mission-critical spaceflight software development and NGA source selection and program management and built as AI/ML native, CNTIENT∙Earth is a paradigm shift for the Earth observation industry, serving the needs of both data consumers and data providers. 👉 Reach out to learn more and start your free trial today

✨ CNTIENT.Earth is Generally Available today ✨ Heading to  Cognitive Space Operations (COGSPO) Reverse Industry Day hosted by US Space Command (#USSPACECOM) and Space Systems Command (#SSC) June 25-26 at #SAS HQ in Cary, North Carolina? 👉 Catch our Founder and CEO Guy de Carufel and our Programs Manager Marlena Smith at the event and ask for a demo 🗺️🛰️

Remote sensing enables us to identify subtle patterns that may elude the human eye. Dive into our short guide that covers: 🛰️ Remote sensing basics  🚨 Active vs. passive sensors 🎛️ Remote sensing technology, devices, and instruments 🔄 The process of remote sensing ➕ and more! Learn more in our recent post: https://lnkd.in/gZGEprgi #RemoteSensing #Satellites #Optimize #Orchestrate #CognitiveSpace

Let’s imagine a customer “Analytics Co” needs high-resolution imagery of an AOI for regular monitoring 🛰️ Consider our confidence in Amazon: a purchase translates to 2-day delivery, with multiple status updates.  Analytics Co’s customer journey for satellite data tasking is unlike e-commerce transactions - unless you’re a high-priority gov’t customer or very well-funded commercial client, purchase does not guarantee delivery 😬 It’s as if Amazon order response was: “We may or may not deliver.” The tasking order process for Analytics Co extends after order submission. The uncertainty is in the fulfillment phase, where providers execute complex supply chain logistics.     Analytics Co sends a request specifying the site location, collection cadence, sensor morphology and resolution to multiple data providers. Some will deem the order infeasible due to various constraints. If deemed feasible, some data providers may accept tasking, but not guarantee data collection and delivery. Analytics Co receives multiple prices quotes and order feasibilities.    Excel spreadsheet, anyone? 🙄 The industry lacks a standardized definition of "feasibility”. These assessments are typically static and fail to account for the real-time dynamics inherent within provider supply chains. Analytics Co doesn’t have ongoing visibility into the likelihood of order fulfillment, or a real way to compare across providers.    Consider:  ➡️ How much better could Analytics Co support customers if there was a comprehensive metric for order fulfillment success across multiple data providers, the “constellation of constellations”?  ➡️ How much more effectively could Analytics Co use their data budget with improved predictability and reliability of tasking order feasibility assessments?  ➡️ How much better could data providers support Analytics Co with more insight into market and customer demand?     To have those, order location, timelines, price, competition, orbits, geometry, sensor type, weather, product type, satellite constraints must be considered, and multiplied by 10,000+ orders being managed 24/7/365.     It’s a problem ripe for AI/ML.   One we’ve been working for quite some time.     Our AI-driven solution for Analytics Co is CNTIENTׄ·Earth   ✅ With CNTIENTׄ·Earth, Analytics Co unlocks AI-powered intelligence to understand the capabilities of satellite data providers and plan orders to maximize the confidence of successful data acquisition.   ✅ CNTIENTׄ·Earth removes the cognitive burden of complex, diverse interactions required by data providers for feasibility assessment, pricing, ordering, and order responsiveness.  ✅ With CNTIENTׄ·Earth Analytics Co efficiently manages highly complex, dynamic order scenarios and demanding mission requirements like custody, monitoring and tip & cue.   ✅ And since CNTIENTׄ·Earth is an analytics-ready platform, it feeds directly into Analytics Co’s workflows.    Want to know more? 👉 Reach out to me via DM