Jeen Talk is an omni-channel AI communication layer for managing customer interactions across chat, WhatsApp, email, voice, and phone calls using AI agents - delivering 24/7 availability, reducing team workload, and improving SLA performance.
Jeen Talk enables organizations to operate AI-powered customer conversations across all communication channels - chat, WhatsApp, email, voice, and phone calls - while connecting interactions directly to AI agents, workflows, and enterprise systems.
Jeen Talk seamlessly turns conversations into actions by triggering workflows, opening tickets, updating CRM systems, escalating issues, and generating follow-up tasks in real time. Built-in automatic transcription and conversation analysis extract intent, sentiment, satisfaction metrics, and regulatory insights from every interaction - without manual effort.
With real-time AI voice agents and digital AI agents, organizations can provide 24/7 customer availability, handle peak volumes, and significantly reduce the load on support and service teams. AI agents assist or fully handle conversations, automate routine interactions, and ensure faster response and resolution times, improving overall SLA performance.
The platform supports high-accuracy, multilingual transcription and analysis, operates at enterprise scale, and integrates with existing CRM, IVR, ticketing, and operational systems. Deployment is flexible across cloud, on-prem, or hybrid environments, meeting security, compliance, and data residency requirements.
Highlights
Real-time AI voice agents
Handle and assist live phone conversations with AI, with automatic transcription and analysis to extract intent, sentiment, satisfaction, and regulatory insights.
24/7 customer availability
Always-on AI agents improve response times and SLA performance across all interactions.
Omni-channel communication
Your AI agents across Chat, WhatsApp, email, voice, and phone calls in one platform.
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 is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time. Alternatively, you can pay upfront for a contract, which typically covers your anticipated usage for the contract duration. Any usage beyond contract will incur additional usage-based costs.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
If you are an AWS Free Tier customer with a free plan, you are eligible to subscribe to this offer. You can use free credits to cover the cost of eligible AWS infrastructure. See AWS Free Tier for more details. If you created an AWS account before July 15th, 2025, and qualify for the Legacy AWS Free Tier, Amazon EC2 charges for Micro instances are free for up to 750 hours per month. See Legacy AWS Free Tier for more details.
You pay for this product based on usage, billed hourly through a single dimension. The t3.micro rate applies to each hour the software runs on that AWS EC2 instance size. There are no tiers or separate add-ons to choose between. Your cost scales directly with how many hours you keep the instance running. If you run it longer or across more instances, you accumulate more billed hours. This model lets you match spending to actual runtime rather than committing to a fixed upfront amount.
Top-of-mind questions for buyers
What resources do I get when running on the t3.micro instance size?
The t3.micro is a small AWS EC2 instance type with modest CPU and memory. You are billed for each hour this instance runs. It suits light testing or trial workloads rather than heavy production traffic. Larger workloads would need a bigger instance size, which is not offered under this listing.
Am I charged when the t3.micro instance is stopped or idle?
Software charges accrue per hour the instance runs. If you fully stop the instance, the hourly software fee stops. A stopped instance may still incur underlying AWS storage fees for attached volumes, but the software meter counts running time only.
Does the hourly rate cover the Jeen Talk features like voice agents and real-time translation?
The hourly rate covers running the software on the t3.micro instance. Jeen Talk provides voice and chat AI agents, transcription, live agent assist, and real-time translation. Connecting your own telephony, AI models, or business systems happens through integrations you configure. Contact the vendor to confirm which capabilities run within this instance size.
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Jeen is the centralized platform for deploying and governing AI agents across enterprise workflows with native cost control. Deploy AI agents, manage customer interactions at scale, and control AI spending - all in one secure platform. Start with ready-to-use agents or build custom solutions with no code, backed by enterprise-grade security and flexible deployment. Integrate with your enterprise systems to automate workflows, extract insights, and accelerate decisions across departments.
Jeen AI Workspace is an enterprise AI workspace that enables employees to analyze and create documents and presentations, collaborate through a smart enterprise chat, and use AI agents connected to organizational knowledge and tools - all in one secure, governed environment.
Jeen Agents enables organizations to build AI agents, workflows, and AI applications using a no-code / low-code approach to execute end-to-end business processes - in a scalable, reusable, and enterprise-managed way.
Jeen AI is a unified enterprise AI platform that delivers advanced AI solutions and organization-wide AI adoption in a controlled environment, with built-in governance and FinOps - deployable in cloud, on-prem, or SaaS.
The platform enables rapid creation of AI applications such as chat interfaces, AI agents, and full UI experiences, seamlessly integrated into core business processes.
Jeen FinOps provides organizations with centralized visibility and control over AI usage and LLM consumption - across agents, users, departments, and models - enabling safe, scalable AI adoption with clear governance and cost accountability.
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