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Real outcomes other companies already got — what was delivered, who it was for, and which solution did it.

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The customer each case was delivered for. Pick one to see their outcomes.

Showing outcomes forNasaShow all companies again

5 business cases for Nasa

  • NASANASAThe customer this was delivered for.
    Deployed $49,000 Prize Pool and Delivered Automated Crater Detection Algorithms

    Key results

    • $49,000 total prize pool via competitive marathon match

    NASA needed improved automated crater detection algorithms to analyze planetary imagery more effectively. The existing approach required advanced image processing and machine learning expertise. NASA sought a way to accelerate algorithm development by drawing on diverse problem-solving approaches. NASA implemented a competitive marathon match to crowdsource advanced crater detection algorithms. A $49,000 prize pool was offered to attract data scientists and machine learning experts worldwide. Participants developed image processing solutions focused on detecting craters in planetary images. The effort produced advanced crater detection algorithm concepts generated through competition. The $49,000 prize pool attracted global participants with relevant machine learning and image processing expertise. The approach supported faster progress toward analyzing planetary imagery and accelerating scientific research.

    Machine Learning
    Delivered byVerified outcomeThe customer confirmed this result through Human Cloud verification — it is not the vendor’s own account of it.
    Topcoder
  • NASANASAThe customer this was delivered for.
    Deployed $49,000 Challenge and Delivered Automated Crater Detection Algorithms

    Key results

    • $49,000 prize pool via competitive marathon match

    NASA needed improved automated crater detection for analyzing planetary imagery. Existing approaches limited how quickly they could advance image processing methods at scale. They also needed to access a wider range of data science and machine learning expertise beyond internal teams. NASA implemented a competitive marathon match to crowdsource crater detection algorithms. A $49,000 prize pool was used to attract data scientists and machine learning experts from around the world. Participants developed image processing solutions tailored to planetary imagery analysis. The initiative delivered new crater detection algorithms for planetary image processing. The $49,000 prize pool helped draw global participation from top practitioners. NASA expanded the diversity of problem-solving approaches and accelerated scientific research through the competition format.

    AerospaceMachine Learning
    Delivered byVerified outcomeThe customer confirmed this result through Human Cloud verification — it is not the vendor’s own account of it.
    Topcoder
  • NASANASAThe customer this was delivered for.
    Radically Simplified Space Weather Model Analysis in Phase 1

    Key results

    • Phase 1 Kamodo development

    NASA needed to radically simplify the analysis and visualization pipeline for space weather models hosted at the Community Coordinated Modeling Center. The existing workflow faced data integration and collaboration challenges across space weather models and instruments. The effort also needed stronger core software robustness to support high-performance interpolation, visualization, and modeling. Overall, the goal was to enable easier communication and use of model outputs. During Phase 1 of Kamodo’s development, the team focused on improving the robustness of Kamodo’s core software and advancing it as a high-performance interpolation, visualization, and space weather modeling tool. They deployed a containerized dashboard and a web API to simplify analysis, visualization, and communication of models and instruments. The implementation aimed to improve compatibility between data formats and applications. The delivered components included containers, a REST API, and a user interface prototype. By the end of Phase 1, the team produced “Kamodified” space weather resources using the containerized approach. They delivered automated dashboards for scientifically relevant variables within model or data sources. They deployed REST APIs to support machine-to-machine communication. They also delivered a containerized solution deployable to cloud infrastructure (including AWS, Google Cloud, and Azure) and enabled distributed access to deployed solutions from workstations.

    Delivered by
    Ensemble Consultancy
  • NASANASAThe customer this was delivered for.
    115 Registrants Joined NASA Webinar for Earth-Data Business Model Challenge

    Key results

    • 115 webinar registrants

    NASA generated vast amounts of Earth science data daily, but turning raw data into commercially viable, revenue-generating solutions remained difficult. The agency needed a way to encourage entrepreneurs and researchers to translate public Earth-system datasets into practical applications. It also sought a pathway to identify high-potential concepts aligned with future Small Business Innovation Research (SBIR) opportunities. Ensemble, partnered with Freelancer.com (https://Freelancer.com), designed and executed the NASA Sustainable Business Model Challenge to source sustainable business models using NASA data. The team developed the competition framework, rules, eligibility criteria, and evaluation structure, and managed recruitment of a qualified judging panel. They also planned structured SBIR training, workshops, and mentorship to help winning teams improve funding readiness. A multi-channel outreach strategy, including partnerships, marketing campaigns, and webinars, was implemented to drive participation. The program expanded engagement by hosting a public webinar that drew 115 registrants and provided direct access to challenge guidance and expert Q&A. The challenge structure supported transparent submission review through the Freelancer.com (https://Freelancer.com) platform and broadened access to a global talent pool. As an expected impact, the initiative aimed to bridge the gap between Earth science and commercialization by guiding participants toward SBIR-aligned pathways and scalable sustainability solutions.

    Delivered by
    Ensemble Consultancy
  • Delivered $1,000,000 Total Prize Purse for NASA Innovation Challenges

    Key results

    • 2015 partnership began
    • $1,000,000 USD total prize purse via NASA-related challenges listed on the page
    • $250,000 USD total prize purse via AMPS Challenge

    NASA needed a way to source new ideas and prototypes for a range of space and mission-support problems. The challenges included building 3D tools for robotic astronauts and creating smartwatch apps for time tracking and station updates. NASA also sought a scalable approach that could attract diverse solution paths from a global community. NASA implemented challenge-based competitions through the NASA Tournament Lab and related open innovation programs. The approach used crowdsourcing to gather submissions across multiple contests. These competitions were structured with defined prize purses to incentivize participation and accelerate prototyping. The program delivered substantial prize funding across several challenges and related contests. NASA-related challenges listed on the page totaled $1,000,000 in prize purse. Additional challenges cited included prize pools as high as $6,000,000, alongside hundreds of completed contests.

    Delivered by
    Freelancer Technology Pty Limited

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