bCloud AI

Agent Studio

Ship smarter with Agent Studio

A new paradigm for creating, testing, and deploying AI agents — powered by real-time retrieval and your own data.

What is Agent Studio?

Agent Studio is a developer-first framework that accelerates the creation of AI agents. Built on bCloud AI’s search-native infrastructure, it give=s you the tools to combine large language models with real-time retrieval, behavioural signals, and configurable business logic. Launch personalised, brand-aligned AI assistants that deliver powerful user experiences — deeply integrated into your product.

Composable by design

Fusing best-in-class LLMs with the precision of bCloud’s retrieval engine, Agent Studio lets you orchestrate smarter AI experiences that reflect your brand voice and business rules.

Assemble with composable building blocks

Configure flexible agent workflows using developer APIs and orchestration components. Define prompts, permissions, retrieval sources, and LLM routing through a self-service dashboard or directly in code — giving engineering teams full control over every layer of agent behaviour.

Connect your preferred LLM

Use the model that best fits your requirements — OpenAI, Google Gemini, Azure OpenAI, and more — with no vendor lock-in. You retain full ownership over your infrastructure, costs, and model selection. Switch providers as the landscape evolves without rewriting your agent logic.

Search-native retrieval at the core

Backed by the same engine that handles trillions of retrieval requests annually, Agent Studio gives your agents instant access to personalisation signals, business rules, and live index data — the same proven infrastructure trusted by the world’s leading digital brands.

Integrated tooling out of the box

Bring your own external tools or tap into bCloud AI’s built-in analytics, recommendation engines, and customer data pipelines — all with the security, observability, and enterprise-grade scale of our platform. No fragmented integrations, no shadow infrastructure.

Features

Everything you need to deploy intelligent agents across your site or application.

AI Ranking
Dynamically boost agent responses to drive core KPIs
Personalisation
Tailor agent responses to each individual user’s context
Smart Rules
Optimise agent behaviour for specific queries and contexts
Analytics
Understand agent performance and uncover optimisation
Merchandising
Curate agent-driven results for campaigns and promotions

Built for developers and product teams

Designed for teams that want to ship fast, Agent Studio provides full control while eliminating the need to build agentic infrastructure from scratch.

Ship faster

Go from concept to production in weeks instead of months. Pre-built components and orchestration tools eliminate boilerplate and accelerate time-to-value.

Maintain full control

Own your data, logic, and LLM integrations completely. No opaque abstractions — you decide exactly how your agents retrieve, reason, and respond.

Iterate rapidly

Built-in observability, prompt versioning, and performance monitoring let you iterate on agent behaviour with confidence — without deploying blind.

Scale securely

Define granular permissions, prevent data leakage, and maintain brand safety. Enterprise-grade security is built into every layer of the agent stack.

Reduce complexity, not capability

We handle orchestration, AI engineering, and cloud infrastructure — so your team focuses on the experience, not the plumbing. No additional GenAI infrastructure costs.

Use any LLM

Bring-your-own-model flexibility with transparent pricing and zero vendor lock-in. witch between OpenAI, Gemini, Azure OpenAI, and compatible providers as your needs evolve.

Serving a wide range of industries

eCommerce

Deploy intelligent shopping assistants, size and fit recommenders, and cart recovery agents that understand your catalogue, your customers, and your brand voice. Agent Studio connects directly to your product index and user behavioural data, delivering AI-powered commerce experiences that actually drive conversions.

Enterprise

Launch internal knowledge bots, customer support agents, and document Q&A tools that connect employees and customers to the right information instantly. Agent Studio’s retrieval-first architecture ensures answers are grounded in your actual documentation — not generic training data.

Media

Build content recommenders, editorial research assistants, and audience engagement copilots that draw from your full content library in real time. Agents surface the most relevant articles, videos, and topics based on user interests, trending signals, and editorial priorities.

SaaS

Drive feature adoption and user retention by recommending relevant in-app tutorials, integrations, plan upgrades, and knowledge base articles based on real-time product usage signals. Help users discover value faster and reduce churn by guiding them to the features that matter most for their workflow.

LLM Leaderboard

With Agent Studio, you can rapidly build agentic solutions for your application — and you can select the best LLM for your specific use case. The new LLM Leaderboard provides a convenient way to understand how agentic results differ between models, helping you evaluate trade-offs and choose the optimal provider for your customers.

bCloud AI Agent Studio FAQs

What makes Agent Studio different from other agentic frameworks?
Agent Studio is the only agent framework built on a decade of search-retrieval expertise and leadership. It uniquely combines real-time data retrieval with customisable orchestration, flexible LLM integration, and developer-first tooling — giving you the precision of a search engine with the intelligence of a language model.
While many AI solutions can generate plausible-sounding but inaccurate responses, Agent Studio grounds every answer in your actual data. It retrieves information from your structured search index to augment generated responses — an approach known as Retrieval Augmented Generation (RAG). Because responses are anchored to your real, up-to-the-minute data, hallucination risk is dramatically reduced.
Yes. Agent Studio supports use cases across every vertical — from eCommerce, media, and SaaS to enterprise knowledge management and customer support. Its composable architecture adapts to virtually any AI agent requirement, regardless of industry or scale.
bCloud AI supports OpenAI, Azure OpenAI, Google Gemini, and any OpenAI-compatible model. Choose the provider that best fits your requirements for relevance, speed, cost, and compliance. Use the LLM Leaderboard to compare model performance across key metrics and find the optimal fit for your use case.
Absolutely. Agents can retrieve and reason over any data indexed in bCloud AI — including help documentation, knowledge base articles, editorial content, technical guides, and more. This makes Agent Studio equally effective for commerce, content, and internal knowledge use cases.
Agent Studio leverages your first-party data — search interactions, transaction history, user behaviour, and product catalogue information — to generate highly relevant, brand-specific responses. Unlike generic agent frameworks, it integrates this data directly from your bCloud AI indices, giving your agents context-aware intelligence from day one without complex data pipeline configuration.

Empower anyone to build exceptional Search & Discovery

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