Personal AI vs. Limeline

With Assembled, support leaders can unify human and AI agents in one intelligent platform that drives efficiency without compromising quality. Our technology enables over 50% automation of customer interactions, precise demand forecasting, and optimized staffing across in-house teams and BPO partners. From live workload balancing to AI agents that match your workflows and brand voice, Assembled ensures every chat, call, and email is handled with speed and consistency. Companies including Stripe, Canva, and Robinhood trust Assembled to elevate the customer experience and reduce operational costs. Core solutions span workforce and vendor management, real-time performance visibility, and AI Copilot — giving agents translation, reply suggestions, and instant task automation to resolve issues faster.

Atera IT Autopilot is an advanced AI-driven autonomous IT support agent designed to help IT teams overcome challenges caused by increasing ticket volumes, shrinking staff, and growing demands for immediate resolution. By automating routine IT support and complex troubleshooting tasks, it enables employees to self-resolve issues, significantly cutting down on helpdesk backlogs and freeing IT staff to focus on strategic projects. The platform delivers instant, human-like assistance through a variety of channels including user portals, email, Slack, and Microsoft Teams, guaranteeing 24/7 support coverage with a remarkable first response time of 0.1 seconds. IT Autopilot also offers smart assistance features, device and cloud support, whitelisted software management, and escalates more difficult problems to technicians as needed. Comprehensive reporting and analytics empower IT teams with insights to monitor performance and optimize workflows. With integrations available for essential IT functions like backup, security, and network monitoring, the solution fits seamlessly into existing IT environments. IT Autopilot helps reduce IT workloads by up to 40%, saving technicians hours daily and mitigating burnout. Its autonomous operations ensure business continuity even outside traditional working hours, boosting overall productivity. The platform complies with governance frameworks and ethical standards to safeguard data and maintain responsible AI use. Ultimately, Atera IT Autopilot transforms IT support by combining AI efficiency with human oversight to deliver reliable, scalable, and continuous service.

Sendbird offers advanced communication solutions that harness AI technology, featuring an AI-driven customer service agent, Chat API, and Business Messaging, enabling fluid interactions with customers across various channels such as mobile applications, websites, and social media platforms. The platform is compatible with multiple environments, including iOS, Android, JavaScript, Unity, and .NET, ensuring versatile integration for developers and businesses alike. This comprehensive approach allows companies to enhance their customer engagement strategies effectively. Sendbird’s AI-driven customer service platform is designed to empower businesses to provide proactive, omnichannel support through intelligent AI agents. These agents deliver instant, 24/7 assistance on mobile, web, social media, SMS, and email, enhancing customer satisfaction while reducing response times and costs. The platform offers a centralized hub for creating and managing AI agents, with built-in tools for testing, monitoring, and optimizing agent workflows. By connecting all customer interactions into one unified system, Sendbird enables businesses to make smarter decisions, scale support efforts, and enhance customer engagement.

StackAI is an enterprise AI automation platform built to help organizations create end-to-end internal tools and processes with AI agents. Unlike point solutions or one-off chatbots, StackAI provides a single platform where enterprises can design, deploy, and govern AI workflows in a secure, compliant, and fully controlled environment. Using its visual workflow builder, teams can map entire processes — from data intake and enrichment to decision-making, reporting, and audit trails. Enterprise knowledge bases such as SharePoint, Confluence, Notion, Google Drive, and internal databases can be connected directly, with features for version control, citations, and permissioning to keep information reliable and protected. AI agents can be deployed in multiple ways: as a chat assistant embedded in daily workflows, an advanced form for structured document-heavy tasks, or an API endpoint connected into existing tools. StackAI integrates natively with Slack, Teams, Salesforce, HubSpot, ServiceNow, Airtable, and more. Security and compliance are embedded at every layer. The platform supports SSO (Okta, Azure AD, Google), role-based access control, audit logs, data residency, and PII masking. Enterprises can monitor usage, apply cost controls, and test workflows with guardrails and evaluations before production. StackAI also offers flexible model routing, enabling teams to choose between OpenAI, Anthropic, Google, or local LLMs, with advanced settings to fine-tune parameters and ensure consistent, accurate outputs. A growing template library speeds deployment with pre-built solutions for Contract Analysis, Support Desk Automation, RFP Response, Investment Memo Generation, and InfoSec Questionnaires. By replacing fragmented processes with secure, AI-driven workflows, StackAI helps enterprises cut manual work, accelerate decision-making, and empower non-technical teams to build automation that scales across the organization.

Docket is an innovative AI-powered sales enablement solution that consolidates fragmented go-to-market data into its proprietary Sales Knowledge Lake™, enabling powerful AI agents to deliver contextual expertise to website visitors and sales teams. Its AI-driven marketing assistant engages prospects in natural, human-like conversations to increase pipeline generation by 15%, while its AI sales engineer supports reps by instantly providing product insights, retrieving files, and creating tailored documents, boosting seller efficiency by 33%. Docket seamlessly integrates with over 100 tools across the revenue technology stack, allowing for rapid company-wide implementation in under a month. The platform is built on a reliable and scalable infrastructure that leads the market in accuracy, speed, and security, adhering to SOC 2 Type II, GDPR, and ISO 27001 standards. Customers such as ZoomInfo, Demandbase, and Whatfix report significant business impact including increased win rates, shorter sales cycles, and near-instant response times to sales queries. Docket provides clear confidence scores and citations for all answers, ensuring trust and reliability in decision-making. The platform’s viral adoption and ease of use have transformed sales enablement workflows and redefined team productivity. With continuous product innovation and a commitment to security, Docket empowers revenue leaders to scale faster and smarter. Users appreciate how the solution consolidates the workload previously handled by many, enabling focused and efficient selling. Overall, Docket accelerates revenue growth by turning traffic into pipeline and prospects into customers through intelligent, integrated AI assistance.

Completely managed machine learning tools facilitate the rapid construction, deployment, and scaling of ML models tailored for various applications. Vertex AI Workbench seamlessly integrates with BigQuery Dataproc and Spark, enabling users to create and execute ML models directly within BigQuery using standard SQL queries or spreadsheets; alternatively, datasets can be exported from BigQuery to Vertex AI Workbench for model execution. Additionally, Vertex Data Labeling offers a solution for generating precise labels that enhance data collection accuracy. Furthermore, the Vertex AI Agent Builder allows developers to craft and launch sophisticated generative AI applications suitable for enterprise needs, supporting both no-code and code-based development. This versatility enables users to build AI agents by using natural language prompts or by connecting to frameworks like LangChain and LlamaIndex, thereby broadening the scope of AI application development.

LM-Kit.NET serves as a comprehensive toolkit tailored for the seamless incorporation of generative AI into .NET applications, fully compatible with Windows, Linux, and macOS systems. This versatile platform empowers your C# and VB.NET projects, facilitating the development and management of dynamic AI agents with ease. Utilize efficient Small Language Models for on-device inference, which effectively lowers computational demands, minimizes latency, and enhances security by processing information locally. Discover the advantages of Retrieval-Augmented Generation (RAG) that improve both accuracy and relevance, while sophisticated AI agents streamline complex tasks and expedite the development process. With native SDKs that guarantee smooth integration and optimal performance across various platforms, LM-Kit.NET also offers extensive support for custom AI agent creation and multi-agent orchestration. This toolkit simplifies the stages of prototyping, deployment, and scaling, enabling you to create intelligent, rapid, and secure solutions that are relied upon by industry professionals globally, fostering innovation and efficiency in every project.

Fathom serves as a complimentary AI meeting assistant that swiftly captures, transcribes, and summarizes meetings held on platforms such as Zoom, Google Meet, or Microsoft Teams, allowing participants to concentrate on the discussions rather than jotting down notes. This intelligent assistant is designed to enhance productivity and efficiency by providing concise summaries in less than 30 seconds while integrating seamlessly with your CRM for effortless follow-up actions. Among its standout features are real-time transcription, the ability to highlight key moments, and options for sharing clips, making it an excellent choice for teams aiming to optimize their meeting processes and minimize administrative burdens. Additionally, Fathom's user-friendly interface ensures that users can easily navigate its functionalities, further streamlining the meeting experience.

With the trust of over 25 million users globally, Jotform serves as a comprehensive platform that enhances data gathering, automates workflows, and facilitates online sales without requiring any coding skills. Utilizing Jotform’s intuitive drag-and-drop Form Builder, companies can easily design personalized forms and surveys to gather leads, contact details, payments, appointments, and e-signatures. Users can select from a library of more than 10,000 templates tailored for various purposes, such as feedback forms or event registrations, or opt to create their own unique forms from the ground up. The platform’s sophisticated features, including conditional logic, autoresponders, and compatibility with over 200 integrations, significantly optimize operational processes. Moreover, Jotform's AI-driven Agents provide immediate customer support by assisting users during the form submission journey, addressing inquiries, and ensuring a seamless experience, which minimizes the reliance on manual support. With the addition of Jotform’s Store Builder, businesses can establish an online storefront to market products, services, and subscriptions, as well as collect donations and process payments through a wide array of over 30 payment gateways. Furthermore, tools like the Approvals feature, PDF Editor, and Report Builder empower organizations to convert gathered data into insightful actions and streamline workflows for enhanced productivity. This multifaceted approach makes Jotform a vital resource for businesses seeking to improve their operational efficiency and customer engagement.

Amazon Bedrock serves as a robust platform that simplifies the process of creating and scaling generative AI applications by providing access to a wide array of advanced foundation models (FMs) from leading AI firms like AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI, and Amazon itself. Through a streamlined API, developers can delve into these models, tailor them using techniques such as fine-tuning and Retrieval Augmented Generation (RAG), and construct agents capable of interacting with various corporate systems and data repositories. As a serverless option, Amazon Bedrock alleviates the burdens associated with managing infrastructure, allowing for the seamless integration of generative AI features into applications while emphasizing security, privacy, and ethical AI standards. This platform not only accelerates innovation for developers but also significantly enhances the functionality of their applications, contributing to a more vibrant and evolving technology landscape. Moreover, the flexible nature of Bedrock encourages collaboration and experimentation, allowing teams to push the boundaries of what generative AI can achieve.