RepurposeAPI
Repurpose
Byvalue
CherryPy
reap.video
Eden AI
Stellate.co
Mockoon
UMA Vision
Condeco
Skedda
Joan
Condeco Desk Booking Software
Tribeloo
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GoBright Desk Booking System
AskUMA is an AI-powered workplace and smart building platform designed to help organisations manage hybrid work, optimise space, and make better decisions using real-time data. It brings together desk and room booking, visitor management, occupancy analytics, and workplace insights in a single, easy-to-use platform.
AskUMA integrates seamlessly with tools teams already use, including Microsoft 365, Google Workspace, Cisco Webex, Jabra, and other collaboration technologies, as well as a wide range of IoT sensors for occupancy, environmental and utilisation data. This allows organisations to understand how spaces are actually used and improve efficiency, employee experience, and sustainability.
Built for modern workplaces, AskUMA supports flexible working without adding friction. It helps workplace, IT and facilities teams reduce wasted space, improve planning, and create smarter, more responsive buildings.
RepurposeAPI
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RepurposeAPI's answer
RepurposeAPI focuses on turning long-form audio and video into multiple useful content formats through a single API. Instead of offering only transcription or a single AI feature, RepurposeAPI provides composable building blocks such as transcription, summaries, clip detection, chapters, captions, and full workflows.
Developers can integrate these capabilities directly into their own applications or automation pipelines without having to orchestrate multiple AI services. The goal is to make content repurposing reliable, structured, and easy to automate.
UMA Vision's answer:
UMA Vision is unique because it turns raw workplace data into actionable insights by combining real-time sensor information, collaboration platform integrations, and AI-driven analytics in one unified workspace platform. Instead of treating space, schedules, and people as separate silos, UMA Vision connects them ingesting data from IoT sensors, calendars, Microsoft 365, Google Workspace, Cisco Webex and devices like Jabra to provide a holistic, real-time view of how spaces are actually used.
What sets UMA Vision apart is its focus on meaningful outcomes rather than isolated features. It doesnโt just show utilisation metrics; it helps workplace and facilities teams understand patterns, forecast demands, and make smarter decisions about space planning, hybrid working, employee experience and resource allocation. With intuitive dashboards, AI forecasting, and seamless integrations, UMA Vision bridges the gap between operational data and strategic insight, empowering organisations to optimise buildings, reduce waste, and enhance the way people work.
RepurposeAPI's answer
Many existing tools focus on user-facing applications or single features like transcription or video clipping. RepurposeAPI is designed as an API-first platform, allowing developers and companies to build their own workflows and products on top of it.
Key advantages include:
- API-first design for automation and integrations
- Multiple AI capabilities in one platform (transcription, summaries, clips, captions, workflows)
- Structured outputs suitable for automation pipelines
- Flexible workflows that transform one input into multiple outputs
This makes RepurposeAPI particularly useful for developers building creator tools, media platforms, or content automation systems.
UMA Vision's answer:
People choose UMA Vision because it goes beyond reporting to actively connect, understand and optimise the workplace in real time.
Deep, native integrations UMA Vision connects directly with tools organisations already use, including Microsoft 365, Google Workspace, Cisco Webex, Jabra and collaboration devices, combining calendar, meeting and presence data into a single, accurate view of workplace activity.
From insight to interaction Unlike many competitors that only report on data, UMA Vision integrates with building management systems (BMS) and IoT infrastructure, allowing organisations not just to observe spaces, but to interact with them including lighting, environmental controls and occupancy-driven automation.
Sensor-led, not assumption-led UMA Vision uses real-time occupancy and environmental sensors to show how spaces are actually used, reducing reliance on manual check-ins, badge data or assumptions.
One platform, not disconnected tools Instead of stitching together multiple systems for booking, analytics, sensors and building controls, UMA Vision brings them together in a single platform designed for workplace, IT and facilities teams.
Built for action, not dashboards With AI-driven insights and forecasting, UMA Vision helps organisations make practical decisions around space optimisation, hybrid working, energy efficiency and employee experience not just view static reports.
RepurposeAPI's answer
RepurposeAPI is primarily built for:
- Developers building content automation tools
- SaaS companies working with audio or video content
- Media platforms and podcast tools
- Creator-focused software products
- Agencies that automate content repurposing
It is especially useful for teams that want to programmatically transform long-form content into structured outputs such as blog drafts, summaries, clips, and social media assets.
UMA Vision's answer:
UMA Vision is designed for organisations managing modern, hybrid workplaces that need accurate, real-time insight into how their buildings and spaces are used.
Its primary audience includes:
Workplace and real estate teams responsible for space planning, utilisation and hybrid work strategy
Facilities and building managers who need visibility into occupancy, environmental conditions and building performance
IT and digital workplace teams managing integrations with Microsoft 365, Google Workspace, collaboration tools and workplace technology
Enterprise organisations and multi-site businesses looking to optimise space, reduce waste and improve operational efficiency
Organisations with smart buildings or IoT investments that want to move from passive reporting to active, data-driven building optimisation
RepurposeAPI's answer
RepurposeAPI started as an internal effort to automate the process of turning long-form audio into useful content outputs such as summaries, blog drafts, clips, and social media captions.
While building AI-powered features, it quickly became clear that most of the complexity was not the AI itself, but making the workflows reliable, structured, and easy to integrate into other systems.
RepurposeAPI was created to provide developers with a simple and composable way to automate these workflows through a single API.
UMA Vision's answer:
UMA Vision began with a simple insight: finding and managing meeting rooms shouldnโt be hard. In 2017, CTO and Founder Stephen Milner recognised a common workplace problem the frustration of locating and booking meeting space and set out to solve it. What started as a voice-activated assistant evolved over time into what is now UMA Vision, a comprehensive AI-powered workplace and smart building platform that addresses the broader challenges of hybrid working, space optimisation, and real-time building intelligence.
As workplaces shifted towards hybrid models, UMA Vision expanded beyond basic booking to integrate desk and room scheduling, visitor management, space analytics, IoT sensor data and advanced integrations with tools like Microsoft 365, Google Workspace, Cisco Webex, Jabra and more, enabling organisations to turn data into meaningful decisions about how spaces are used.
Unlike standalone booking or analytics tools, UMA Vision was built to be an open, connected platform that works with existing technology stacks and smart building systems including building management systems (BMS) to not only report on occupancy and utilisation but also support automation, energy efficiency and operational responsiveness. This evolution reflects UMAโs commitment to helping organisations make hybrid workplaces smarter, more efficient and user-centric.
RepurposeAPI's answer
RepurposeAPI is built using a combination of modern backend and AI technologies, including:
- Elixir and Phoenix for the core API infrastructure
- Python services for AI processing pipelines
- Speech-to-text and large language models for transcription and content generation
- Distributed job processing and workflow pipelines for handling media processing tasks
The system is designed to handle asynchronous processing and structured outputs suitable for automation and integrations.
UMA Vision's answer:
UMA Vision is built on a modern, data-centric technology stack that brings together AI, real-time integrations, IoT and open protocols to power smart workplaces and buildings.
Cloud-native analytics & AI โ UMA Vision uses advanced analytics and artificial intelligence to process data from multiple sources, provide forecasting, space-utilisation insights and actionable intelligence across the workspace.
API-driven integrations โ It connects with key enterprise software such as Microsoft 365, Google Workspace, Cisco Webex, Jabra and other collaboration tools, enabling unified calendars, presence data and smart scheduling.
IoT sensor ecosystem โ UMA Vision ingests real-time sensor data from a wide range of devices (occupancy, environmental, energy, air quality, sound, etc.), using protocols like LoRaWAN, Modbus, BACnet, MQTT and EnOcean to bring building systems into one platform.
Real-time building interaction โ The platform integrates with existing building management systems (BMS) and automation layers, enabling not just reporting but interactive control of lighting, HVAC and other building functions.
Interactive mapping & visualisation โ Intelligent 2D/3D floor plans and dashboards visualise occupancy, bookings and environmental conditions, providing intuitive spatial insights for workplace and facilities teams.
Secure, open platform design โ UMA Visionโs open architecture and APIs make it extensible, allowing enterprises to leverage existing infrastructure and future integrations without vendor lock-in.
RepurposeAPI's answer
RepurposeAPI is currently used by developers, early-stage startups, and builders experimenting with content automation workflows.
Because the product is still growing, many users are independent developers and small teams integrating the API into creator tools, automation pipelines, and media platforms.
UMA Vision's answer:
Premier League Football Club โ a top-tier professional sports organisation using UMA Vision for hybrid workplace planning and space integration.
NHS Mid Yorkshire Hospitals Trust โ part of the UK National Health Service using real-time occupancy sensors and insights to improve space utilisation across its estate.
Alzheimerโs Research (Los Angeles) โ a research organisation with interactive floor maps and flexible workplace management powered by UMA Vision.
London & Partners โ the promotional organisation for the UK capital, using UMA Vision for hot-desking and utilisation reporting following relocation.
BHP Chartered Accountants โ a large independent firm of chartered accountants in the North of England using UMA Vision to manage hot-desking and improve meeting room workflows.
Other organisations that use UMA Vision include:
Multi-national financial services firms โ enterprise buyers leveraging space analytics and hybrid work scheduling.
Premier League football teams (beyond the one named case study) โ sports sector clients seeking hybrid workplace optimisation.
Small charities and not-for-profit organisations โ adopting the platform for cost-effective space planning and insights.
Weโve been using UMA Vision to better understand how our workspace is actually being used, and itโs made a real difference. The platform gives clear, actionable insights without overwhelming you with data, which makes it easy to turn usage patterns into practical decisions.
What stood out most was how quickly we were able to get value from it. The dashboards are intuitive, reporting is straightforward, and the data helped us identify opportunities to improve space efficiency and support hybrid work more effectively. Itโs been especially useful for planning and justifying changes with real evidence rather than assumptions.
Overall, UMA Vision feels like a mature, well-thought-out product thatโs built for real operational use, not just analytics for analyticsโ sake.
UMA Vision is thoughtfully designed and easy to get value from quickly. The interface is clean, the workflows make sense, and the team behind it is responsive and clearly cares about product quality. Itโs refreshing to work with a tool thatโs evolving fast while staying focused on real customer needs.
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