A fully managed environment where you deploy AI agents as packages that automatically scale with demand, with no server management required.
Seamlessly connect and switch between different AI models (GPT-4, Claude, open-source LLMs) and tools within a single agent workflow.
Provides built-in persistence for conversation history, user data, and agent state, managed automatically by the platform.
Every deployed agent automatically gets a production-ready REST API and real-time WebSocket endpoint for easy integration into applications.
Native support for the LangChain framework, allowing developers to use and deploy popular LangChain chains and agents directly on the platform.
Consolidated billing for usage across multiple AI providers and platform resources through a single credit system.
Companies deploy Steamship agents as intelligent chatbots that handle common customer inquiries, access knowledge bases, and escalate complex issues. The agent maintains conversation context across sessions, integrates with ticketing systems like Zendesk, and can use different AI models for classification versus response generation. This reduces support ticket volume and provides 24/7 assistance.
Marketing teams and content creators build agents that generate draft articles, social media posts, or product descriptions based on brand guidelines. The agent can be triggered via API from a CMS, apply consistent tone and style, and store generated content in a connected database. This streamlines content workflows and maintains quality at scale.
Organizations create agents that answer employee questions by searching internal documents, wikis, and databases. The agent is deployed as a Slack or Teams bot, providing instant access to company information while keeping data within the corporate environment. It reduces time spent searching for information and improves knowledge sharing.
Data teams and analysts build agents that accept natural language queries about datasets, generate SQL queries, run analyses, and return insights in plain English. The agent connects to data warehouses like Snowflake or BigQuery, remembers previous analysis context, and can automate reporting. This makes data exploration accessible to non-technical stakeholders.
Edtech companies develop adaptive tutoring agents that guide students through learning materials, answer questions, and provide personalized practice problems. The agent tracks student progress, adjusts difficulty based on performance, and integrates with LMS platforms. This creates scalable, personalized learning experiences without constant teacher intervention.
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15Five People AI is an AI-powered platform used within hr people ops workflows. It helps teams automate repetitive steps, surface insights, and coordinate actions across tools using agent-based patterns when deployed with proper governance.
23andMe is a pioneering personal genomics and biotechnology company that offers direct-to-consumer genetic testing services, empowering individuals with insights into their ancestry, health, and traits. By analyzing DNA from a simple saliva sample, 23andMe provides detailed reports on ancestry composition, breaking down genetic heritage across over 150 populations. Additionally, it offers FDA-authorized health predisposition reports for conditions like Parkinson's disease and BRCA-related cancer risks, carrier status reports for over 40 inherited conditions, and wellness reports on factors like sleep and weight. The platform includes features like DNA Relatives, connecting users with genetic matches, and traits reports exploring physical characteristics. Founded in 2006, 23andMe emphasizes privacy and data security, allowing users to control their information and opt into research contributions. With a user-friendly interface and extensive genetic database, it makes complex genetic information accessible and actionable for personal discovery and health management.
[24]7.ai is an AI-powered customer engagement platform designed to transform how businesses interact with customers by delivering personalized, efficient service across multiple channels. It leverages advanced natural language processing and machine learning to create intelligent virtual agents capable of handling diverse inquiries, from basic FAQs to complex transactions. The platform supports omnichannel deployment, including web chat, mobile apps, social media, and voice, ensuring seamless customer experiences. Key features include real-time analytics, integration with existing CRM and communication systems, and continuous learning capabilities that improve AI performance over time. Targeted at enterprises in sectors like retail, banking, telecommunications, and healthcare, [24]7.ai helps reduce operational costs, enhance customer satisfaction, and scale support operations effectively. Its robust security measures comply with industry standards such as GDPR and HIPAA, making it a reliable solution for data-sensitive environments.
