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DigitalOcean Launches Advanced Generative AI Platform

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DigitalOcean (NYSE: DOCN) has launched its new GenAI Platform at the Deploy 25 developer conference in Austin, Texas. The platform enables developers to integrate AI into business applications using third-party foundational models without requiring advanced AI expertise.

The platform features intuitive workflows for setting up AI agents with data pipelines and multi-agent crews, supporting both beginners and experts. It allows businesses to build chatbot experiences for various use cases including document analysis, customer service, automated workflows, and conversational agents.

Key features include: framework-agnostic design, Retrieval Augmented Generation (RAG) workflows, function calling capabilities, built-in guardrails for response management, and support for private endpoints. The platform launched publicly on January 22, 2025, following a private preview with select customers. Future updates will include URL data source support, agent evaluations, model fine-tuning, and additional features.

DigitalOcean (NYSE: DOCN) ha lanciato la sua nuova Piattaforma GenAI durante la conferenza per sviluppatori Deploy 25 ad Austin, Texas. La piattaforma consente agli sviluppatori di integrare l'IA nelle applicazioni aziendali utilizzando modelli di base di terze parti, senza richiedere competenze avanzate in IA.

La piattaforma offre flussi di lavoro intuitivi per impostare agenti IA con pipeline di dati e squadre multi-agente, supportando sia principianti che esperti. Permette alle aziende di costruire esperienze chatbot per diversi casi d'uso, tra cui analisi di documenti, servizio clienti, flussi di lavoro automatizzati e agenti conversazionali.

Le funzionalità chiave includono: design indipendente dal framework, flussi di lavoro di Generazione Augmentata da Recupero (RAG), capacità di chiamata funzione, guardrail integrati per la gestione delle risposte e supporto per endpoint privati. La piattaforma è stata lanciata pubblicamente il 22 gennaio 2025, dopo una preview privata con clienti selezionati. Gli aggiornamenti futuri includeranno supporto per fonti di dati URL, valutazioni degli agenti, perfezionamento dei modelli e ulteriori funzionalità.

DigitalOcean (NYSE: DOCN) ha lanzado su nueva Plataforma GenAI en la conferencia para desarrolladores Deploy 25 en Austin, Texas. La plataforma permite a los desarrolladores integrar IA en aplicaciones empresariales utilizando modelos fundamentales de terceros sin requerir experiencia avanzada en IA.

La plataforma presenta flujos de trabajo intuitivos para configurar agentes de IA con tuberías de datos y equipos multi-agente, apoyando tanto a principiantes como a expertos. Permite a las empresas construir experiencias de chatbot para diversos casos de uso, incluyendo análisis de documentos, servicio al cliente, flujos de trabajo automatizados y agentes conversacionales.

Las características clave incluyen: diseño independiente del marco, flujos de trabajo de Generación Aumentada por Recuperación (RAG), capacidades de llamada a funciones, guardrails integrados para la gestión de respuestas y soporte para endpoints privados. La plataforma se lanzó públicamente el 22 de enero de 2025, tras una vista previa privada con clientes seleccionados. Las futuras actualizaciones incluirán soporte para fuentes de datos URL, evaluaciones de agentes, ajuste de modelos y características adicionales.

디지털오션 (NYSE: DOCN)은 텍사스 오스틴에서 열린 개발자 컨퍼런스인 Deploy 25에서 새로운 GenAI 플랫폼을 출시했습니다. 이 플랫폼은 개발자가 고급 AI 전문 지식 없이도 서드파티 기본 모델을 사용하여 비즈니스 애플리케이션에 AI를 통합할 수 있도록 합니다.

플랫폼은 데이터 파이프라인 및 다중 에이전트 팀으로 AI 에이전트를 설정하는 직관적인 워크플로우를 제공하며, 초보자와 전문가 모두를 지원합니다. 이 플랫폼을 통해 기업은 문서 분석, 고객 서비스, 자동화된 워크플로우 및 대화형 에이전트를 포함한 다양한 사용 사례를 위한 챗봇 경험을 구축할 수 있습니다.

주요 기능으로는 프레임워크에 의존하지 않는 디자인, 검색 증강 생성(RAG) 워크플로우, 함수 호출 기능, 응답 관리를 위한 내장 가드레일, 개인 엔드포인트 지원 등이 있습니다. 이 플랫폼은 2025년 1월 22일에 공개적으로 출시되었으며, 일부 고객과의 비공식 미리보기 이후 공개되었습니다. 향후 업데이트에는 URL 데이터 소스 지원, 에이전트 평가, 모델 미세조정 및 추가 기능이 포함될 예정입니다.

DigitalOcean (NYSE: DOCN) a lancé sa nouvelle Plateforme GenAI lors de la conférence pour développeurs Deploy 25 à Austin, Texas. Cette plateforme permet aux développeurs d'intégrer l'IA dans des applications professionnelles en utilisant des modèles fondamentaux tiers, sans nécessiter de compétences avancées en IA.

La plateforme propose des flux de travail intuitifs pour configurer des agents IA avec des pipelines de données et des équipes multi-agents, soutenant à la fois les débutants et les experts. Elle permet aux entreprises de créer des expériences de chatbot pour divers cas d'utilisation, y compris l'analyse de documents, le service client, les flux de travail automatisés et les agents conversationnels.

Les fonctionnalités clés incluent : design indépendant du cadre, flux de travail de génération augmentée par récupération (RAG), capacités d'appel de fonction, garde-fous intégrés pour la gestion des réponses et support pour des points de terminaison privés. La plateforme a été lancée publiquement le 22 janvier 2025, après un aperçu privé avec des clients sélectionnés. Les mises à jour futures incluront le support des sources de données URL, l'évaluation des agents, le réglage des modèles et des fonctionnalités supplémentaires.

DigitalOcean (NYSE: DOCN) hat seine neue GenAI-Plattform auf der Entwicklerkonferenz Deploy 25 in Austin, Texas, eingeführt. Die Plattform ermöglicht es Entwicklern, KI in Geschäftsanwendungen zu integrieren, indem sie auf grundlegende Modelle von Drittanbietern zurückgreifen, ohne fortgeschrittene KI-Fachkenntnisse zu benötigen.

Die Plattform bietet intuitive Workflows zum Einrichten von KI-Agenten mit Datenpipelines und multikagentischen Teams, die sowohl Anfänger als auch Experten unterstützen. Sie ermöglicht es Unternehmen, Chatbot-Erlebnisse für verschiedene Anwendungsfälle zu erstellen, darunter Dokumentenanalyse, Kundenservice, automatisierte Workflows und konversationale Agenten.

Zu den wichtigsten Funktionen gehören: frameworkunabhängiges Design, Retrieval Augmented Generation (RAG) Workflows, Funktionalitäten für Funktionsaufrufe, integrierte Guardrails zur Antwortenverwaltung und Unterstützung für private Endpunkte. Die Plattform wurde am 22. Januar 2025 öffentlich eingeführt, nach einer privaten Vorschau mit ausgewählten Kunden. Zukünftige Updates werden Unterstützung für URL-Datenquellen, Agentenbewertungen, Modellfeinabstimmung und weitere Funktionen beinhalten.

Positive
  • Launch of new GenAI Platform expanding product offering
  • Platform accessible to both beginners and advanced users, potentially expanding market reach
  • Framework-agnostic design allowing flexible implementation
  • Integration with existing infrastructure and third-party foundational models
Negative
  • Heavy reliance on third-party foundational models rather than proprietary technology
  • Entering a highly competitive AI market space

Insights

DigitalOcean's new GenAI Platform marks a calculated entry into the rapidly growing AI infrastructure market, potentially opening up new revenue streams beyond their traditional cloud services. The platform's standout feature is its framework-agnostic architecture and low-code approach, which could significantly reduce the barriers to AI adoption for small to medium-sized businesses.

The platform's support for Retrieval Augmented Generation (RAG) workflows and integration with third-party foundation models is particularly strategic, as it allows DigitalOcean to avoid the massive investments required for developing proprietary large language models while still offering competitive AI capabilities. This approach also provides flexibility for customers to switch between different AI models as the technology evolves.

From a market perspective, this launch positions DigitalOcean against established players like AWS SageMaker and Google's Vertex AI, but with a distinct focus on simplicity and accessibility. The inclusion of built-in guardrails and private endpoints addresses critical enterprise concerns about AI safety and data privacy, which could accelerate adoption among security-conscious customers.

Key technical advantages include the platform's ability to handle both structured and unstructured data, support for function calling and integrated chatbot interfaces. These features suggest DigitalOcean is targeting practical, immediate use cases like customer service automation and document analysis, rather than competing in the more crowded space of general-purpose AI development tools.

The success of this platform will largely depend on three factors: 1) The performance and reliability of the third-party foundation models they partner with, 2) Their pricing strategy in a market where AI computing costs remain a significant concern and 3) The effectiveness of their developer ecosystem in creating and sharing reusable AI components.

This product launch represents a pivotal moment for DigitalOcean's growth strategy, particularly given their market cap of ~$3.4 billion. By entering the AI infrastructure space with a simplified platform, they're targeting a sweet spot in the market - the growing number of small to medium-sized businesses that want to implement AI but lack the resources for complex enterprise solutions.

From a business perspective, this move is well-timed as it addresses three critical market dynamics: 1) The increasing demand for AI implementation among SMBs, 2) The current high barriers to entry for AI development and 3) The growing need for cost-effective, scalable AI solutions. The platform's ability to work with multiple third-party foundational models also creates potential for recurring revenue through usage-based pricing models.

The early adoption by customers like Autonoma demonstrates the platform's practical business applications, particularly in document management and customer service automation - two areas with significant market demand. The focus on immediate value delivery through features like website chatbot integration could accelerate customer adoption and revenue generation.

Looking at the competitive landscape, DigitalOcean's approach differs from major cloud providers by prioritizing simplicity and accessibility over comprehensive features. This strategy aligns with their historical success in capturing developer mindshare through user-friendly solutions. However, they'll need to maintain this simplicity while adding the advanced features mentioned in their roadmap to remain competitive.

The timing of this launch, coinciding with their Deploy 25 conference, suggests a coordinated effort to build developer community engagement - a important factor for platform adoption and long-term success in the cloud services market.

Announced at the Deploy 25 developer conference, the new DigitalOcean GenAI Platform empowers developers to easily integrate AI into business applications

AUSTIN, Texas--(BUSINESS WIRE)-- Today, DigitalOcean (NYSE: DOCN), the simplest scalable cloud for growing tech companies, introduced its new GenAI Platform at the company’s developer conference, Deploy 25, hosted in Austin, Texas. The DigitalOcean GenAI Platform allows customers to use foundational models from third-party providers to build and deploy AI agents in minutes without the need for advanced expertise in AI or machine learning.

DigitalOcean’s new GenAI Platform’s intuitive workflows meet customers wherever they are in their AI journey by allowing them to set up agents with access to robust data pipelines and multi-agent crews. Supporting everyone from AI beginners to seasoned experts, this groundbreaking platform positions DigitalOcean at the forefront of AI development by allowing businesses to build chatbot experiences with third-party foundational models to support a number of real-world use cases such as document analysis, intelligent customer service, automated workflows, and interactive conversational agents, with more use cases on the horizon. The platform is built to be framework-agnostic to allow for a seamless transition from creation to implementation.

“As AI continues to enhance business strategies, it is essential to have a partner like us that is evolving with technology and making AI accessible for users,” said Bratin Saha, Chief Product and Technology Officer at DigitalOcean. “Generative AI is an evolving concept, but our team has worked tirelessly to create an easy-to-use platform that seamlessly integrates with our customers' existing infrastructure and has a low barrier to entry for developers at any expertise level.”

The GenAI Platform makes it simple to create use-case specific agents by bringing your contextual data to foundation LLMs offered by leading third parties. You can not only pull in unstructured data from files but also structured data from databases or APIs to augment your prompts and build rich Retrieval Augmented Generation (RAG) workflows. With function calling, you can easily extend the capabilities of your agent with custom code without needing to spin up new processes. Additionally, with included guardrails, you can easily manage your agent's responses, helping to filter out incorrect or inappropriate results. Support for private endpoints and an included chatbot interface makes launching these agents on your website straightforward, enabling you to deliver immediate value to your users.

“As a company that offers a holistic customer platform for plant and machine manufacturers, we explored a few GenAI options to help us create and manage large volumes of documentation for each customer's plant,” said Florian Bauernfeind, Managing Director at Autonoma. “With DigitalOcean’s new GenAI Platform, we are able to quickly create intelligent AI agents that understand each customer's specific context and language - making it easy to read through pages of documentation and search through a variety of content via chatbot. As a company, we are really excited about DigitalOcean’s latest offering as we look to expand our own to transform our customer’s experience.”

As DigitalOcean continues to expand its AI strategy in 2025 and beyond, the GenAI Platform brings new resources and functionality for customers looking to iterate in a competitive marketplace. These innovations will allow growing tech companies to harness their data and implement AI with ease. While select DigitalOcean customers experienced this platform late last year in a private preview, the GenAI Platform is available to all customers starting today, January 22, 2025.

Stay tuned as the DigitalOcean team continues to add exciting new features to the GenAI Platform, including support for URLs as a data source, agent evaluations for AgentOps and CI/CD pipelines, model fine-tuning, and more.

To learn more about DigitalOcean’s GenAI Platform, visit our product page. Additionally, check out DigitalOcean’s YouTube channel for a replay of the 2025 Deploy sessions and to see the platform in action.

About DigitalOcean

DigitalOcean is the simplest scalable cloud platform that democratizes cloud and AI for growing tech companies around the world. Our mission is to simplify cloud computing and AI to allow builders to spend more time creating software that changes the world. More than 600,000 customers trust DigitalOcean to deliver the cloud, AI, and ML infrastructure they need to build and scale their organizations. To learn more about DigitalOcean, visit www.digitalocean.com.

DigitalOcean Media

Dan Jensen

press@digitalocean.com



Investors

Melanie Strate

investors@digitalocean.com

Source: DigitalOcean

FAQ

When did DigitalOcean (DOCN) launch its GenAI Platform?

DigitalOcean launched its GenAI Platform publicly on January 22, 2025, following a private preview with select customers in late 2024.

What are the main features of DigitalOcean's new GenAI Platform?

The platform features intuitive workflows, RAG capabilities, function calling, built-in guardrails, private endpoints, chatbot interface, and support for third-party foundational models.

What use cases does DigitalOcean's GenAI Platform support?

The platform supports document analysis, intelligent customer service, automated workflows, and interactive conversational agents.

What upcoming features are planned for DigitalOcean's GenAI Platform?

Future updates include URL data source support, agent evaluations for AgentOps, CI/CD pipelines, model fine-tuning, and additional features.

How does DigitalOcean's GenAI Platform handle data integration?

The platform can integrate both unstructured data from files and structured data from databases or APIs to augment prompts and build RAG workflows.

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