Saying the general public preview of Deep Analysis in Azure AI Foundry—an API and SDK-based providing of OpenAI’s superior agentic analysis functionality.
Unlock enterprise-scale internet analysis automation
In the present day we’re excited to announce the general public preview of Deep Analysis in Azure AI Foundry—an API and software program growth package (SDK)-based providing of OpenAI’s superior agentic analysis functionality, absolutely built-in with Azure’s enterprise-grade agentic platform.
With Deep Analysis, builders can construct brokers that deeply plan, analyze, and synthesize info from throughout the net—automate advanced analysis duties, generate clear, auditable outputs, and seamlessly compose multi-step workflows with different instruments and brokers in Azure AI Foundry.
AI brokers and information work: Assembly the following frontier of analysis automation
Generative AI and enormous language fashions have made analysis and evaluation quicker than ever, powering options like ChatGPT Deep Analysis and Researcher in Microsoft 365 Copilot for people and groups. These instruments are reworking on a regular basis productiveness and doc workflows for hundreds of thousands of customers.
As organizations look to take the following step—integrating deep analysis instantly into their enterprise apps, automating multi-step processes, and governing information at enterprise scale—the necessity for programmable, composable, and auditable analysis automation turns into clear.
That is the place Azure AI Foundry and Deep Analysis are available: providing the flexibleness to embed, lengthen, and orchestrate world-class analysis as a service throughout your whole enterprise ecosystem—and join it along with your knowledge and your techniques.
Deep Analysis capabilities in Azure AI Foundry Agent Service
Deep Analysis in Foundry Agent Service is constructed for builders who wish to transfer past the chat window. By providing Deep Analysis as a composable agent instrument through API and SDK, Azure AI Foundry permits prospects to:
- Automate web-scale analysis utilizing a best-in-class analysis mannequin grounded with Bing Search, with each perception traceable and source-backed.
- Programmatically construct brokers that may be invoked by apps, workflows, or different brokers—turning deep analysis right into a reusable, production-ready service.
- Orchestrate advanced workflows: Compose Deep Analysis brokers with Logic Apps, Azure Capabilities, and different Foundry Agent Service connectors to automate reporting, notifications, and extra.
- Guarantee enterprise governance: With Azure AI Foundry’s safety, compliance, and observability, prospects get full management and transparency over how analysis is run and used.
In contrast to packaged chat assistants, Deep Analysis in Foundry Agent Service can evolve along with your wants—prepared for automation, extensibility, and integration with future inside knowledge sources as we develop help.
The way it works: Structure and agent move
Deep Analysis in Foundry Agent Service is architected for flexibility, transparency, and composability—so you’ll be able to automate analysis that’s as strong as your online business calls for.
At its core, the Deep Analysis mannequin, o3-deep-research, orchestrates a multi-step analysis pipeline that’s tightly built-in with Grounding with Bing Search and leverages the newest OpenAI fashions:
- Clarifying intent and scoping the duty:
When a person or downstream app submits a analysis question, the agent makes use of GPT-series fashions together with GPT-4o and GPT-4.1 to make clear the query, collect extra context if wanted, and exactly scope the analysis process. This ensures the agent’s output is each related and actionable, and that each search is optimized for your online business situation. - Net grounding with Bing Search:
As soon as the duty is scoped, the agent securely invokes the Grounding with Bing Search instrument to assemble a curated set of high-quality, current internet knowledge. This ensures the analysis mannequin is working from a basis of authoritative, up-to-date sources—no hallucinations from stale or irrelevant content material. - Deep Analysis process execution:
The o3-deep-research mannequin begins the analysis process execution. This entails pondering, analyzing, and synthesizing info throughout all found sources. In contrast to easy summarization, it causes step-by-step, pivots because it encounters new insights, and composes a complete reply that’s delicate to nuance, ambiguity, and rising patterns within the knowledge. - Transparency, security, and compliance:
The ultimate output is a structured report that paperwork not solely the reply, but in addition the mannequin’s reasoning path, supply citations, and any clarifications requested through the session. This makes each reply absolutely auditable—a must have for regulated industries and high-stakes use instances. - Programmatic integration and composition:
By exposing Deep Analysis as an API, Azure AI Foundry empowers you to invoke analysis from wherever—customized enterprise apps, inside portals, workflow automation instruments, or as half of a bigger agent ecosystem. For instance, you’ll be able to set off a analysis agent as a part of a multi-agent chain: one agent performs deep internet evaluation, one other generates a slide deck with Azure Capabilities, whereas a 3rd emails the end result to resolution makers with Azure Logic Apps. This composability is the true game-changer: analysis is not a handbook, one-off process, however a constructing block for digital transformation and steady intelligence.
This versatile structure means Deep Analysis might be seamlessly embedded into a variety of enterprise workflows and functions. Already, organizations throughout industries are evaluating how these programmable analysis brokers can streamline high-value eventualities—from market evaluation and aggressive intelligence, to large-scale analytics and regulatory reporting.
Pricing for Deep Analysis (mannequin: o3-deep-research) is as follows:
- Enter: $10.00 per 1M tokens.
- Cached Enter: $2.50 per 1M tokens.
- Output: $40.00 per 1M tokens.
Search context tokens are charged enter token costs for the mannequin getting used. You’ll individually incur fees for Grounding with Bing Search and the bottom GPT mannequin getting used for clarifying questions.
Get began with Deep Analysis
Deep Analysis is out there now in restricted public preview for Azure AI Foundry Agent Service prospects. To get began:
We are able to’t wait to see the progressive options you’ll construct. Keep tuned for buyer tales, new options, and future enhancements that can proceed to unlock the following technology of enterprise AI brokers.
