VividCloud’s Agentic AI Platform is a software development accelerator that empowers organizations to unlock the full value of their data through intelligent, conversational access to information no matter where it lives. Organizations with vast and complex datasets including RESTful APIs, operational databases, and unstructured document repositories can simplify all data discovery and powerfully accelerate decision-making.
How it works
At its core, this is a powerful AI-driven conversational interface purpose-built for corporate legal teams to streamline discovery and reduce risk. Legal professionals can ask questions in plain English and receive accurate, context-rich responses—whether they’re searching for contracts with specific clauses, identifying compliance gaps, or preparing for litigation.
Whether you’re responding to internal investigations, external audits, or complex litigation requests, VividCloud’s Agentic AI transforms how legal knowledge is accessed, reviewed, and applied—cutting down review time, improving precision, and reducing outside counsel costs.
What is a software development accelerator
Importantly, this is not a product; it is a flexible accelerator designed to speed up the development, deployment and delivery of AI-powered solutions tailored to each customer’s specific needs. A powerful agent framework makes it easy for developers to customize, orchestrate, and scale intelligent agents that support your domain-specific workflows. Its uses are widely varied – it can guide technicians through troubleshooting procedures, or surface insights from siloed data systems, or automate routine operational tasks.
VividCloud’s accelerator removes the heavy lifting from enterprise AI development with powerful foundational components, pre-integrated data connectors, and a modular architecture allowing teams to focus on delivering business value faster. The customer-tailored result deploys on AWS and leverages cloud-native services to ensure enterprise-grade scalability, security, and data privacy.
Benefits of working with an AWS Partner
VividCloud’s status as an Advanced-tier Partner with AWS provides access to financial incentives. One of the key accelerators of working with VividCloud is the opportunity to craft a funded, AWS-approved and highly visible solution which is tailored to your unique situation. By leveraging the AWS Proof of Concept funding available in a custom engagement with VividCloud, your solution will launch faster, at lower cost, and with supporting access to AWS subject matter experts – all at no additional cost!
BUSINESSES THAT EXPECT AI TO INCREASE PRODUCTIVITY
60%
BUSINESSES THAT BELIEVE AI WILL IMPROVE CUSTOMER RELATIONSHIPS
21%
EXPECTED NET INCREASE IN US GDP FROM AI BY 2030
37.3%
AI ANNUAL GROWTH RATE
Hear from Our Clients
They were more than helpful in any complex situation that we encountered.
Chad Johnston
Managing Partner, Fully Involved, LLC
VividCloud worked jointly with us to implement these upgrades to the point where we now have what we consider to be a commercially viable product that provides real value to KSS and our customers.
Ben Antrim
Director of Processs Engineering, Koch Separation Solutions
VividCloud did an outstanding job. I was very satisfied with the quality of their work and willingness to partner with us to ensure success.
David Levasseur
Director of Software Engineering, AutoGuide Mobile Robots
The VividCloud team was able to take us from a concept to working prototype in a very short time.
James Hamilton
Sr. Technical Director, Evolv Technology
They’re excellent communicators and have kept us apprised every step of the way, offering options to improve performance or reduce costs. I would recommend them for future work without hesitation.
Jamie Shaw
Sr. Software Development Engineer, WEX, Inc.
They are an excellent company with which to work.
Joseph Drenth
Sr. Research and Development Engineer, JBT Corporation
In the legal industry, the ability to efficiently retrieve and analyze relevant information from extensive document collections is critical. Traditional methods of processing and searching through legal documents are often time-consuming, labor-intensive, and prone to errors. This case study highlights the implementation of a Retrieval-Augmented Generation (RAG) application, designed to enhance the accuracy and speed of legal document retrieval, ultimately improving workflow efficiency.
Organizations often face significant challenges when extracting and analyzing large amounts of tabular data embedded in PDFs, a common format for business documents. This case study presents a technology solution that leverages Optical Character Recognition (OCR) to extract tabular information from PDFs, normalizes it, and loads it into a SQL database.
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