Sold by: Karini AIÂ
Deployed on AWS
Build and manage production-grade generative AI applications with an easy-to-use visual interface for any use case.
Overview
At Karini AI, we're all about speed and efficiency. We enable businesses to harness the power of Generative AI effortlessly, freeing them from skill and infrastructure development complexities. Our cutting-edge platform allows you to quickly turn your innovative ideas into reality, efficiently transforming them from initial concepts to full production within minutes. Designed with stringent enterprise-level security and governance, along with robust AI safety measures, Karini AI meets the most demanding compliance standards.
Our platform provides access to the latest in large language models (LLMs) and a versatile experimentation environment, ensuring flexibility and top-tier quality to build user trust. We offer detailed operational dashboards to track Generative AI usage, performance, and trends and manage costs effectively.
At Karini AI, we understand the importance of adaptability. Our platform stays at the forefront of scientific advancement and the evolving landscape of models, eliminating technical debt. Our no-code approach to Generative AI application deployment ensures you do not compromise on quality or speed in bringing products to market. Karini AI is adaptable and perfect for a range of applications including virtual assistants, Agents, text generation, summarization, QA, semantic search, classification, and even image creation.
Highlights
- GenAI No-code recipes with a built-in broad set of connectors and LLM models to build & deploy generative AI applications in minutes. Boost the efficiency of your AI applications effortlessly with GenAI No-code recipes. Its intuitive features, including a prompt playground for model comparison, a prompt inspector for observability, and LLM as a judge to compare Ground Truth labels with RAG, are designed to save you time. It also offers human feedback capabilities enhancing the response quality.
- A broad set of use cases, including conversational, agentic, batch, summarization, classification, and code interpretation, to name a few. Enterprise security and governance for secure credentials management, PII masking, data encryption, and role-based access controls (RBAC).
- Trust and Safety controls to reduce noise, block harmful content, and include relevant citations to provide evidence. Observability of workflows, visibility, and cost controls with dashboards to track model spending, performance, usage, and trends.
Details
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Delivery method
Deployed on AWS
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Features and programs
Financing for AWS Marketplace purchases
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing
Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/12 months |
|---|---|---|
Annual subscription pricing | Annual subscription pricing Enterprise Edition | $250,000.00 |
Vendor refund policy
We will be happy to provide refund if you are not satisfied with our product. Please contact at support@karini.ai for any questions.
Legal
Vendor terms and conditions
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA)Â .
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
Delivery details
Software as a Service (SaaS)
SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.
Resources
Support
Vendor support
We provide ongoing support and maintenance, ensuring the platform is always up-to-date and running smoothly. Our team of experts is dedicated to providing personalized service and support with a focus on customer success.
For high-priority issues, we will respond within 1 hour. We have operations in the US and India, and our support team will respond per Service Level agreements. For support, please email: support@karini.aiÂ
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
Updated weekly
By Karini AI
By Dataloop AI/GenAI development platform
By NeuralSeek
Top
10
In Procurement & Supply Chain
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50
In Data Preparation
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In Edit/Processing-Text, Natural Language Processing, Generative AI
AI generated from product descriptions
Large Language Model Support
Provides access to latest large language models (LLMs) with a versatile experimentation environment
No-Code Application Development
Enables building and deploying generative AI applications through visual interface without complex coding
Enterprise Security Framework
Implements enterprise-level security with credentials management, PII masking, data encryption, and role-based access controls
AI Workflow Observability
Offers detailed operational dashboards to track generative AI usage, performance, trends, and model interactions
Trust and Safety Mechanisms
Includes content filtering controls to reduce noise, block harmful content, and provide relevant citations for generated outputs
Data Management
Advanced platform for exploring and analyzing unstructured data from diverse sources with automated preprocessing and embeddings
AI Pipeline Orchestration
Drag-and-drop and code-based interface for creating complex AI workflows with data, models, apps, and human feedback integration
Model Management
Capability to use pre-existing AI models, build custom models, deploy to production, and perform versioning, experimentation, and fine-tuning
Enterprise Security Framework
Comprehensive security controls including RBAC, SSO, 2FA, AES-256 encryption, compliance with GDPR, ISO 27001, ISO 27701, and SOC 2 Type II standards
AI Application Development
Function-as-a-service offering enabling custom code development for complex tasks with direct data and model access without infrastructure setup
Multi-Agent LLM Orchestration
Enables building and managing multiple generative AI agents with capability to assign, switch, and string together different large language models from a single platform
Retrieval Augmented Generation (RAG)
Provides customized prompt generation space for creating dynamic generative AI prompts against proprietary data without requiring coding
Performance Governance
Offers enterprise-level observability and control mechanisms to mitigate risks of LLM hallucination, misinformation, and sensitive data exposure
Semantic Analytics
Generates provenance tracking, coverage assessment, and confidence scoring for AI-generated outputs
Dynamic LLM Management
Supports real-time monitoring of token usage and enables comparative analysis and optimization of different large language models
Standard contract
No
Customer reviews
reviewer2754177
We overcome historical challenges and innovate with quick iteration capabilities
Reviewed on Sep 02, 2025
Review from a verified AWS customer
What is our primary use case?
To support our strategy, we needed to speed up our ability to process quotes and orders. Thus, focusing on an IDPÂ (Intelligent Document Processing) solution was logical. Unfortunately, past solutions were never accurate or agile enough for large-scale use. Karini's GenAI solution allowed us to overcome the historical problems and provided us with the flexibility to iterate quickly and continue improving the solution when required.
How has it helped my organization?
The Karini GenAI platform has delivered value in two ways. First, it sped up our ability to support our customers, which was the strategic focus for our organization. This created customer value. Secondly, this was the initial stepping stone into our GenAI journey. It fueled support, excitement, and adoption of how AI can be used to help our associates create even more customer value.
What is most valuable?
Karini's platform allows us to quickly iterate on our solutions. Getting to 80% quickly was beneficial, but getting to over 95% was always the goal. We realized that having a platform that allowed us to modify and improve constantly was critical to our success.
What needs improvement?
Karini is still expanding its list of features. As we add new features, additional connections and technologies around AI must be incorporated to ensure we stay current and continue to improve our platform.
For how long have I used the solution?
We have used the solution for one year.
Which solution did I use previously and why did I switch?
We used many similar products, including traditional OCR and RPAÂ tools. These tools never provided the accuracy and flexibility we required when new customers were added and new documents were uploaded.
What's my experience with pricing, setup cost, and licensing?
GenAI solutions must prove their value quickly. Finding a partner like Karini who can lower the initial entry point into GenAI and extract value quickly creates real ROI.
Which other solutions did I evaluate?
We migrated from a non-Agentic workflow platform that utilized traditional AWSÂ products and services. The platform served its purpose but created technological debt that prevented us from quickly scaling and iterating.
What other advice do I have?
Karini GenAI allowed us to achieve our goals to solve a customer problem, deliver value, and provide a successful entry point into our GenAI journey. Without them, this would not have been possible.