Generative AI chatbots
Build AI chatbots for generative use cases, including chat plus retrieval-augmented generation, with conversation analytics and data privacy controls described on the site.
Emly Labs is a no-code AI platform for chatbots, predictive models, and data preparation workflows. Pay-as-you-go plans, free learner account, and free trial.
Emly Labs is a no-code AI platform for teams and individuals who want to build AI solutions without writing code. The site positions it as a framework for both generative and predictive AI, with product modules for chatbots, AutoML, data preparation, and related workflow tools.
Across the product and pricing pages, the platform is presented as a way to support the full AI workflow: preparing data, building and evaluating models, creating chat experiences, collaborating on projects, and managing deployment options. The product is aimed at making AI work accessible to non-specialists while still offering controls such as interpretability, governance, and project tracking.
Build AI chatbots for generative use cases, including chat plus retrieval-augmented generation, with conversation analytics and data privacy controls described on the site.
AutoML automates preprocessing, algorithm selection, parameter tuning, and model evaluation so users can build predictive models with less manual work.
Data Lab focuses on preparing, cleaning, and enriching data with spreadsheet-like usability and one-click insights of interest.
The platform includes workflow and project tools such as experiment management, reports, collaboration, and model versioning to support AI project execution.
The site highlights explainability, model scrutiny, progress tracking, auditing, and governance features to help users review model behavior and maintain transparency.
Pricing and product pages mention deployment and delivery options including hosted, virtual cloud, on-prem deployment, embeddable chat widgets, and push data connectors.
Teams that want to launch a chatbot or chat-with-documents experience can use the generative AI tools, including chat plus RAG and the embeddable chat widget mentioned in pricing.
Analysts and business users can build predictive models without hand-coding the full pipeline, using AutoML for preprocessing, algorithm selection, tuning, and evaluation.
Projects that start with messy or inconsistent data can use Data Lab to clean, prepare, and enrich datasets before training or analysis.
Organizations running multiple AI initiatives can use experiment management, reporting, collaboration, and model versioning to keep work organized across teams.
Buyers comparing deployment models can use the platform’s hosted, virtual cloud, and on-prem options to match their operational constraints.
Emly Labs is presented as a no-code AI framework for building generative AI chatbots, predictive AI models, and data preparation workflows. The site also describes product modules such as Emly AutoML, Emly Data Lab, Emly AI Bots, Emly Hub, Emly X-Data, and Emly Vizard.
The pricing page shows paid plans for Starter, Essential, Professional, and Enterprise, plus a free learner account and a free trial. It also states that the platform uses a pay-as-you-go model with compute credits.
The pricing page includes support for hosted, virtual cloud, and on-prem deployment, depending on plan. It also lists support channels that vary by tier, including email, live chat, phone, and a dedicated account contact for higher plans.
The site describes workflow features such as experiment management, model interpretability, data preparation pipelines, visualization dashboards, auditing, and collaboration. Exact integrations are not fully documented in the source provided.
The pricing page describes an embeddable chat widget for generative AI and a push data connector in the plan comparison table. The broader site mentions third-party integration in the context of pricing, but a full integrations catalog is not provided in the source.