Rootstrap

Rootstrap

软件开发

Outcome-driven development. At any scale.

关于我们

At Rootstrap, we work with high-growth startups and corporate leaders to accelerate their roadmap and drive innovation. As a trusted software partner to the most dynamic companies in the world, this is how we make our mark on the future. During the past 13 years, Rootstrap has shipped more than 750 new products and features for our partners, all pioneers in their space. Our technology expertise covers these core capabilities: Artificial Intelligence Data Services Cloud Infrastructure Web Development Mobile Development UX/UI Design We provide partners with embedded engineers, designers and PMs to scale teams and accelerate roadmaps, as well as a full-service product studio for 0 to 1 projects. Let’s build something great together: [email protected] #Rootstrap

网站
https://www.rootstrap.com/
所属行业
软件开发
规模
201-500 人
类型
私人持股
创立
2011
领域
Application Design、Product Design、Application Development、UI/UX Design、Software Development、Product Strategy、Mobile App Development、iOS Development、Android Development、Web Development、Staff Augmentation、Mobile App Development和IoT Development

地点

Rootstrap员工

动态

  • 查看Rootstrap的公司主页,图片

    19,607 位关注者

    ?? Yesterday, at the Inc. 5000 Conference & Gala, David Jarrett, CEO of Rootstrap, took the main stage in front of hundreds of leaders from the top companies in the country. He shared key insights on innovation and sales growth in the tech space and our journey as a 6-year honoree of the Inc. 5000 list! Special thanks to?Mike Hofman, Editor-in-chief of?Inc. Magazine,?Allison Davis, Founder of?Sales Done Differently, and?Adam Alfano, Executive vice president of?Salesforce,?for being part of the conversation! #Inc5000 #Rootstrap

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    19,607 位关注者

    Three ways Agents are different from traditional Apps: 1. Human-In-The-Loop UI Apps are designed to help people create, read, update, and delete (CRUD) various pieces of data in various formats, over and over and over again. Agents are designed to automate repetitive, structured work like this, cutting down many manual steps in a Human Workflow, and therefore increase throughout and/or decrease headcount requirements. However, there is still the need for Humans to not only “approve” AI-curated or AI-generated work in production but also?improve it continuously?by providing the Agent with clear and accurate quantitative and qualitative feedback. Therefore, the Agent UI is going to surface AI recommended actions for users to evaluate, edit, reject, or approve. This feedback will be used to improve future recommendations, so Human productivity gains grow in a compounding fashion over time through the regular use of Agents. Users will still be able to CRUD like they’re used to at all times, but the UI will be more collaborative as they share the space with the Agent, and need a one or multiple ways to interact with the Agent via multimodal LLMs. (See:?Replit Agent?for a good present-day reference.) Agents can respond to natural language, text, audio, visuals, and code in large quantities and without over-burdensome data cleanliness in ways that a traditional App plainly cannot do. Users can?express what they want however they want: 1) an audio note coupled with a website URL reference, 2) a video message and Google Drive folder, 3) a long-form document and a set of third-party APIs, or 4) all the above. The Agent processes the inputs; reasons for any Recommended Actions; surfaces these for Feedback &?Approval; if Approved, programmatically uses any necessary UIs, APIs, codebases, and databases autonomously in order to execute the Actions; and then synthesizes the Outcomes into a best-fit final response. For this reason, Agents are more dynamic, expressive, and forgiving than traditional Apps. Business Impact:?This shift demands that product and tech leaders embrace new thinking. This product design space has hardly been explored yet, and of course some artifacts from today's paradigm will evolve and live on in the next, but whatever comes next will surely look, respond, and interact unlike any traditional App we've seen before. See the comments below ?? for 2. & 3.

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    19,607 位关注者

    ?? What's Your AI Strategy? We will map your most critical data and workflows to identify AI-driven opportunities for faster, higher quality outcomes across your business. We will scope and prioritize these opportunities based on estimated ROI, and prepare the right expert pods to get the work done fast. We provide this detailed audit for free to qualifying companies.?

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    19,607 位关注者

    It’s not just about automation; it’s about intelligence. We asked Staff Product Manager Joe Martin how we would approach building an Agent differently than Traditional Apps>>> "Agents open up exciting new possibilities that traditional Apps can’t match. While the initial approach is similar, Agents require a stronger focus on data quality and quantity. We must also design for continuous learning and adaptation. Instead of mapping linear user journeys, we can create dynamic, adaptive experiences that evolve with each interaction. Showing references to source data and managing user permissions also become crucial in AI agent development.The key difference lies in the potential for transformative solutions. With AI agents, we’re not just automating existing processes - we’re creating intelligent assistants that can understand, reason, and act autonomously. This means we can design solutions that are more intuitive, personalized, and capable of handling nuanced scenarios that traditional Apps struggle with."

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    19,607 位关注者

    The Era of Agents Is Here Imagine a world where your software doesn't just sit idle, waiting for your input, but actively works for you, like an invisible assistant, making decisions and executing tasks autonomously. This is not just AI hype. Enter: Agents, the next big evolution in software. Agents are action-oriented programs that perform complex tasks without direct user intervention every step of the way. ?? Dynamic Interfaces: Agents respond to multimodal inputs whether it's text, voice, or even a messy document. ?? Automated Workflows: Agents save you time by interacting directly with your systems, databases, and other software on your behalf. ?? Reinforcement Learning: Agents continuously improve through human feedback. Agents aren't just reshaping software—they're redefining how we work. How do you see this evolution impacting your business?

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    19,607 位关注者

    Are you interested in advancing your Tech Career? Stay in touch with our Talent Community with exclusive content and insights! Join our community (link ?) to get monthly updates on tips, tools, trends, and resources in Tech. ???Artificial Intelligence ???Data Services ??Cloud Infrastructure ???Web Development ???Mobile Development ???UX/UI Design

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    19,607 位关注者

    Last Tuesday, we wrapped up the year with the final Ruby Meetup of 2024 in Buenos Aires, hosted right here in our office—and it was a success! Nearly 40 members of the Ruby community came together to share knowledge, connect, and enjoy two engaging talks. Events like this fuel the growth of the Ruby community in Buenos Aires, and we’re grateful to everyone who joined us, bringing their energy and enthusiasm. We can’t wait to see you next year as we continue growing and building together! For more information about upcoming events and how to participate, visit our website at ruby.com.ar

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