LabCloud
LabCloud™ is dramatically changing the world of lab informatics. Integration is fundamental to a successful operation and effective research. LabCloud™ provides a fully integrated platform that allows R&D organizations to better manage research pipelines. Drive innovation while reducing operational expenditures, increasing laboratory compliance, and improving transparency. LabCloud’s Lab Notebook provides scientists with state-of-the-art tools in order to manage all of your information in one place. Full inventory management, item & instrument management, linked to Lab Notebook. Access to dozens of vendors, links directly to inventory, process orders and invoices, plus export to your accounting system. Access your data in a safe and compliant environment. LabCloud's unique software platform allows unparalleled control over data traditionally residing in isolated data silos. Having precise data control enables informed decision-making while ensuring compliance with industry standards.
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Assista
Assista is an AI-powered workflow automation platform that deploys multiple specialised AI agents to handle repetitive tasks across multiple applications. The platform operates on a multi-agent architecture where different agents collaborate to complete complex workflows that traditionally require manual coordination across various tools.
The system functions through natural language processing, allowing users to input commands in plain English. When a user provides instructions, Assista interprets the request and execute the necessary actions across integrated apps to complete the entire workflow.
It integrates with over 80 productivity apps (and constantly adding more), including popular business tools such as Gmail, HubSpot, Slack, Notion, Trello, LinkedIn, Google Workspace, GitHub, and project management platforms. Users connect their applications through standard authentication methods, and the platform begins coordinating tasks.
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GraphBase
GraphBase is a Graph Database Management System (Graph DBMS) engineered to simplify the creation and maintenance of complex data graphs. Complex and highly-connected structures are a challenge for the Relational Database Management System (RDBMS). A graph database provides much better modelling utility, performance and scalability. The current crop of graph database products - the triplestores and property graphs - have been around for nearly two decades. They're powerful tools, they have many uses, but they're still not suited to the management of complex data structures. With GraphBase, our goal was to simplify the management of complex data structures, so that your data could become something more. It could become Knowledge. We achieved this by redefining how graph data should be managed. In GraphBase, the graph is a first-class citizen. You get a graph equivalent of the "rows and tables" paradigm that makes a Relational Database so easy to use.
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Flow-Like
Flow-Like is an open-source, typed, local-first workflow automation engine for building and executing automation and AI workflows in self-hosted or offline environments. It combines visual, graph-based workflows with strong typing and deterministic execution, making complex systems easier to understand, validate, and maintain. Unlike many workflow tools that rely on untyped JSON, cloud-only backends, or opaque runtime behavior, Flow-Like makes data flow and execution explicit and inspectable. Workflows can run locally, on private servers, in containers, or in Kubernetes without changing semantics. The core runtime is written in Rust for performance, safety, and portability. Flow-Like supports event-driven automation, data processing, document ingestion, and AI pipelines, including typed agent and RAG workflows using local or hosted models. It is designed for developers and organizations that need reliable automation with full control over infrastructure and data.
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