An Azure-managed document AI service for OCR, form extraction, and structured document understanding.
Azure Document Intelligence is used to extract text, tables, key-value pairs, and structured fields from documents such as invoices, forms, receipts, contracts, and identity records.
Azure-hosted access to OpenAI models with enterprise controls, networking, and governance.
Azure OpenAI Service is used when teams want to build AI applications with managed model endpoints while keeping deployment inside Azure's enterprise security, compliance, and networking boundaries.
An AWS-managed platform for foundation model APIs, agents, evaluation, and enterprise AI services.
Amazon Bedrock is used to access multiple model providers through AWS, build generative AI applications, and keep workloads close to existing AWS security and infrastructure controls.
AWS's developer assistant for coding, cloud troubleshooting, and software delivery workflows.
Amazon Q Developer is used to generate code, explain AWS architecture, troubleshoot issues, and assist developers inside IDEs, chat, and console experiences.
A managed search platform for keyword, vector, and hybrid retrieval in enterprise AI apps.
Azure AI Search is used to build search experiences, RAG pipelines, semantic retrieval, and enterprise knowledge applications that need managed indexing and query infrastructure.
An AI layer for enterprise content stored in Box, focused on extraction, summarization, and question answering.
Box AI is used to work faster with enterprise documents, summarize long files, extract key points, and ask questions against secured content already stored in Box.
A model and enterprise AI platform for language, search, reranking, and generative use cases.
Cohere Platform is used to power enterprise search, retrieval, generation, reranking, and custom AI applications that need hosted model access and business-oriented tooling.
Databricks' model and AI application stack for training, deployment, evaluation, and governed production usage.
Mosaic AI is used to build retrieval systems, fine-tune or serve models, evaluate AI applications, and operationalize generative workloads on data lakehouse infrastructure.
An enterprise AI and search platform for finding and synthesizing knowledge across business systems.
Glean is used to search across SaaS tools, surface relevant internal knowledge, and give employees a grounded assistant over company content and workflows.
Mistral's hosted platform for model APIs, fine-tuning, and enterprise deployment options.
La Plateforme is used to call Mistral models through hosted APIs, evaluate model behavior, and integrate European-focused model infrastructure into applications.
Slack's AI layer for summarization, search, and drafting across team conversations and enterprise knowledge.
Slack AI is used to summarize channels and threads, answer questions from workspace history, and help teams move through communication-heavy work faster.
Snowflake's AI layer for model access, document processing, and in-platform generation over enterprise data.
Snowflake Cortex AI is used to build data-aware assistants, run inference close to governed enterprise data, and extend analytics workflows with generation.
A platform for generating AI avatar videos for training, internal communications, and business content.
Synthesia is used to create training videos, onboarding material, internal explainers, and business communication content with avatar presenters and scripted scenes.
Google Cloud's AI platform for managed models, training, agent tooling, and generative AI workloads.
Vertex AI is used to build production AI systems that need managed model access, training pipelines, evaluation, retrieval, and enterprise deployment inside Google Cloud.
An enterprise writing and workflow platform focused on brand, governance, and business content operations.
Writer is used to create governed enterprise content, automate business writing tasks, and roll out AI assistance under organizational brand and policy controls.