AI Agent Development Service with Amazon Bedrock
Acroquest Technology Co., Ltd. · Customer Service
Certification per AWS Marketplace.
Evidence tier Source Confirmed · 4 captures on record
What the publisher says
As described on AWS Marketplace.
Acroquest Technology offers many kinds of technology solutions that leverage generative AI.
This service supports planning, development, and implementation of generative AI agents tailored to customer operations using Amazon Bedrock. It enables the creation of AI agents for diverse use cases including, but not limited to, business process automation, customer support, and in-company knowledge search, in a scalable and secure configuration on AWS.
Show the rest of the publisher’s description (17 more lines)
In addition to utilizing LLMs via Amazon Bedrock, it also supports advanced workflows with multi-agent systems and the construction of agent flows using Dify. With a flexible configuration that foresees post-deployment operation and expansion, and a design adhering to AWS best practices, we provide sustainably usable AI agents.
■Main Features:
- Construction of AI agents to streamline various operations
Leveraging our expertise in generative AI utilization, we can address a wide range of use cases including conversational agents, document analysis, and external service integration.
- Support for multi-agent configurations and utilization of Dify
Enables the realization of advanced AI agents through the coordination of agents with multiple roles and agent flows that execute a series of business processes.
- Scalable deployment with a serverless serverless architectures
Achieve a scalable configuration that can flexibly respond to fluctuations in access through AWS's serverless architecture.
■Reference Use Cases:
- RAG Agent (Agentic RAG)
Implements a conversational agent that searches and summarizes multiple internal documents and FAQs across the board, providing contextually appropriate responses. Particularly adept at utilizing RAG (Retrieval-Augmented Generation) to answer highly specialized questions.
- Data Analysis Agent
Provides analysis, aggregation, and insights via LLM in response to natural language inquiries about operational data and metrics. Realizes agents useful in strategic planning, sales, and marketing environments.
- Application Document Check Agent
Automates the checking of applications and contracts in HR, finance, and legal departments based on predefined rules and regulations. Quickly processes a large volume of application documents, achieving operational efficiency.
- Market Research Agent
Acquires and summarizes web content, automatically collecting, organizing, and reporting on competitor trends, product information, industry news, etc. Reduces the time-consuming research tasks and quickly delivers research results.
Highlights
Highlighted by the publisher on AWS Marketplace.
We will build chat agents and RAG agents that integrate with various data processing and external services based on Amazon Bedrock.
It also supports multi-agent systems and integration with Dify, enabling advanced AI agents that automate business processes.
By utilizing a serverless serverless architectures, we achieve AI agents with superior scalability and maintainability.
Agent build and provenance
See the full provenance
The layer-by-layer build, the evidence behind each claim, the risk basis and the cross-marketplace links are open to any account. Some rows are disclosed, some the source leaves Unknown; a free account shows you which.
Compliance
- FedRAMPConfirmedNot listed90%, registry-checkedNo FedRAMP Marketplace entry matched this vendor's domain, checked 2026-08-27registry recordas observed 2026-08-27
Confirmed means matched to a public authoritative registry. Claimed means the vendor or its listing states it, not yet cross-checked. A framework not shown was not found in any source we hold, which is not evidence against it. Not listed means a scoped registry check found no match for this vendor's domain: a No is a scoped registry check, not a compliance judgment. Confidence bands: 95% domain-verified, 90% registry-checked, 80% self-attested, 70% weak signal. Self-attested items marked “vendor's site” are gathered from the vendor's own website and are not verified by us.
Sources
Linked repositories
Unknown means this listing does not publish a repository. It is not a statement that the code is closed, and a linked repository is not a claim that the publisher wrote it: the registry computes that relationship privately and does not publish it.
Evidence risk is the share of the build you cannot see before you deploy, not a security rating. Sign in to see the layer-by-layer basis for this band.