Top Dragonfly AI Alternatives, Competitors & Similar Software

Data Science and Machine Learning Platforms

Renda Jincang is a software company engaged in providing domestic data management software products and services.

Data Science and Machine Learning Platforms

Use Survey Anyplace to create engaging questionnaires that return personalized advice to the respondent.

Data Science and Machine Learning Platforms

Cordulus is a series A company based in Aarhus, Denmark, that provides accurate and timely insights into weather data to help stakeholders navigate a changing climate.

Data Science and Machine Learning Platforms

Daphne is an AI powered data and collaboration platform for private markets that liberates fundraising and IR teams from manual work.

Data Science and Machine Learning Platforms

QEA Tech quantifies building envelope energy loss, identifies building envelope problems, and recommends retrofits with quick ROIs. The company specializes in AI-powered building envelope audits that incorporate drone technology and thermal imaging.

Data Science and Machine Learning Platforms

Daphne is an AI powered data and collaboration platform for private markets that liberates fundraising and IR teams from manual work.

Data Science and Machine Learning Platforms

QEA Tech quantifies building envelope energy loss, identifies building envelope problems, and recommends retrofits with quick ROIs. The company specializes in AI-powered building envelope audits that incorporate drone technology and thermal imaging.

Data Science and Machine Learning Platforms

Developer of an AI based-platform for marketing and commercialization strategy. The company's software gives brands a deeper understanding of their customers by collecting and analyzing personal private data from multiple platforms, building detailed profiles on each customer, providing the corporate clients and brands with insights and correlative data that help them build future marketing campaigns and sponsorships.

Data Science and Machine Learning Platforms

Developer of an AI based-platform for marketing and commercialization strategy. The company's software gives brands a deeper understanding of their customers by collecting and analyzing personal private data from multiple platforms, building detailed profiles on each customer, providing the corporate clients and brands with insights and correlative data that help them build future marketing campaigns and sponsorships.

Data Science and Machine Learning Platforms

Developer of an AI based-platform for marketing and commercialization strategy. The company's software gives brands a deeper understanding of their customers by collecting and analyzing personal private data from multiple platforms, building detailed profiles on each customer, providing the corporate clients and brands with insights and correlative data that help them build future marketing campaigns and sponsorships.

Data Science and Machine Learning Platforms

Descartes Labs is a technology company that automates the analysis of geospatial data to help organizations answer key questions about the physical world. Through our SaaS platform, we enable the analysis of earth observation data at scale, providing services and solutions across commodity sourcing and forecasting, resource exploration, and climate resilience, while also supporting diverse federal government efforts to gather, analyze, and provide actionable insights from geospatial data.

Data Science and Machine Learning Platforms

💛🍃⚡Plexigrid is reinventing electricity grids by developing software that provides distribution grid operators with the real-time analytics, control, and flexibility capabilities they need to efficiently enable the energy transition. ❤️💙💛We are a Swedish & Spanish deep tech scale-up with roots from the University of Oviedo, combined with leading experience in the renewable energy industry. We develop software that enhances, optimizes, and saves time for engineers involved in the operations, planning, and monitoring of the distribution grid. 🎯Monitoring? Load flow analysis? Connection requests? Flexibility management? The functionalities are many. Some examples of applications & functionalities include; ⚡ Low & Medium voltage monitoring ⚠️ Outage detection 🔋 Adding storage ☀️ Adding residential PV 🚗 Adding EV chargers 🔌 Connection requests scenarios 📈 Optimize load flows & configurations 🖥️ Monte Carlo simulations ⏺️ Real-time interaction 📄 Reporting tools 🎯Imagine if you had a full digital twin of your network. Not only that, but a real-time digital twin, updated as we go. This allows you to have abilities that can be extremely complimentary to your exisiting systems, such as SCADA, ADMS & GIS/NIS. It will be a crucial tool for network operators to have in their belt, making it possible to integrate the large amounts of DER in the near future. 💸Our technology will enable a more intelligent and efficient operation of electricity distribution grids and save hundreds of billions in grid CAPEX/OPEX savings for grid operators and their customers, making the energy transition faster, more affordable, and more sustainable for billions of people.

Data Science and Machine Learning Platforms

Data science platform

Data Science and Machine Learning Platforms

Descartes Labs is a technology company that automates the analysis of geospatial data to help organizations answer key questions about the physical world. Through our SaaS platform, we enable the analysis of earth observation data at scale, providing services and solutions across commodity sourcing and forecasting, resource exploration, and climate resilience, while also supporting diverse federal government efforts to gather, analyze, and provide actionable insights from geospatial data.

Data Science and Machine Learning Platforms

Elementary is the control plane for data and AI reliability. It unifies observability, quality, governance, and discovery, enabling teams to deliver trusted data at scale in the AI era. Engineers work in code, business users get AI-first validation and exploration. Trusted by teams at Elastic, RGA, Now Pensions, and other leading enterprises.

Data Science and Machine Learning Platforms

Descartes Labs is a technology company that automates the analysis of geospatial data to help organizations answer key questions about the physical world. Through our SaaS platform, we enable the analysis of earth observation data at scale, providing services and solutions across commodity sourcing and forecasting, resource exploration, and climate resilience, while also supporting diverse federal government efforts to gather, analyze, and provide actionable insights from geospatial data.

Data Science and Machine Learning Platforms

Welcome to Hystax’s LinkedIn page! Please, follow us for regular updates about our products, services, IT industry benchmarks, trends & best practices. Hystax, the leading FinOps and MLOps solution provider, develops its flagship product, OptScale. It allows running ML/AI or any type of workload with optimal performance and infrastructure cost by profiling ML jobs, running automated experiments, and analyzing cloud usage. Hystax mission Our mission is to help companies optimize the performance and cost of ML model training jobs and increase the number of experiments an ML engineer can run. Hystax is currently the solution for iconic brands like PwC, Ives Rocher, Nokia, DHL, and Airbus for its FinOps/MLOps adoption, offering them a platform that promotes complete cloud cost visibility and countless optimization recommendations. Hystax flagship solution – OptScale OptScale can be used as a SaaS or deployed from source code; it is optimized for ML/AI teams but works with any workload. The platform delivers a wide range of ML/AI-focused capabilities, which help ML/AI teams multiply the number of ML/AI experiments running in parallel with minimal cloud/infrastructure costs. Hystax OptScale primary MLOps capabilities include: ● ML model leaderboards ● Runsets - an automated run of a number of experiments with configurable datasets, hyperparameter ranges, and model versions ● Team and individual ML engineer progress observability ● ML/AI task profiling, bottleneck identification - a simple Python module to collect internal metrics and OptScale to collect cloud metrics to find bottlenecks and correlation ● Optimization recommendations - optimal Reserved Instances and Savings Plans usage, rightsizing, unused resources, cost allocation, and more. Other solutions Hystax Acura – cloud backup, cross-cloud disaster recovery, and live cloud migration from the any-to-any cloud platform. Email: [email protected]

Data Science and Machine Learning Platforms

Data science platform

Data Science and Machine Learning Platforms

Welcome to Hystax’s LinkedIn page! Please, follow us for regular updates about our products, services, IT industry benchmarks, trends & best practices. Hystax, the leading FinOps and MLOps solution provider, develops its flagship product, OptScale. It allows running ML/AI or any type of workload with optimal performance and infrastructure cost by profiling ML jobs, running automated experiments, and analyzing cloud usage. Hystax mission Our mission is to help companies optimize the performance and cost of ML model training jobs and increase the number of experiments an ML engineer can run. Hystax is currently the solution for iconic brands like PwC, Ives Rocher, Nokia, DHL, and Airbus for its FinOps/MLOps adoption, offering them a platform that promotes complete cloud cost visibility and countless optimization recommendations. Hystax flagship solution – OptScale OptScale can be used as a SaaS or deployed from source code; it is optimized for ML/AI teams but works with any workload. The platform delivers a wide range of ML/AI-focused capabilities, which help ML/AI teams multiply the number of ML/AI experiments running in parallel with minimal cloud/infrastructure costs. Hystax OptScale primary MLOps capabilities include: ● ML model leaderboards ● Runsets - an automated run of a number of experiments with configurable datasets, hyperparameter ranges, and model versions ● Team and individual ML engineer progress observability ● ML/AI task profiling, bottleneck identification - a simple Python module to collect internal metrics and OptScale to collect cloud metrics to find bottlenecks and correlation ● Optimization recommendations - optimal Reserved Instances and Savings Plans usage, rightsizing, unused resources, cost allocation, and more. Other solutions Hystax Acura – cloud backup, cross-cloud disaster recovery, and live cloud migration from the any-to-any cloud platform. Email: [email protected]

Data Science and Machine Learning Platforms

splose isn’t just practice management software. It's your ally in handling the ins-and-outs of running a practice and a savvy tool for growth. At splose, we are dedicated to continuously improving and embracing the power of AI and automation to give healthcare professionals like you more time to focus on what matters most.