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    Brainbase Labs Leverages AWS to Launch Kafka Workforce: a Highly-Specialized AI Employee Platform for Enterprise

    8/21/25 8:00:00 AM ET
    $AMZN
    Catalog/Specialty Distribution
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    Built on AWS's AI stack, Kafka Workforce offers highly specialized AI employees that you onboard, not build, to seamlessly take over complex tasks that help human employees increase productivity

    SAN FRANCISCO, Aug. 21, 2025 /PRNewswire/ -- Brainbase Labs today announced the launch of Kafka Workforce, the first enterprise platform for creating highly-specialized AI employees fine-tuned for different roles that can be onboarded in less than an hour and with natural language. Built on Amazon Web Services (AWS), an Amazon.com, Inc. company (NASDAQ:AMZN), the platform enables enterprises to deploy AI employees that come with their own computer and can be accessed through email, phone, and Slack, like a remote worker. This platform builds on the launch of Kafka, a state-of-the-art AI employee that represents the first step toward Brainbase's goal of creating an AI worker that is virtually indistinguishable from a remote human employee. Kafka Workforce enables enterprise teams to design and control their AI workforce with the reliability, security, and scale of AWS infrastructure.

    Brainbase Labs Logo

    Single agentic platform for the enterprise

    Enterprises today are eager to embrace agentic AI, but many still struggle with foundational challenges. Most solutions offer a best-of-batch of vertical AI companies, which lack the customization and the control required at scale, or require building from scratch, which comes with its own set of financial and technical challenges. With the release of Kafka Workforce, Brainbase Labs offers enterprises a single central platform where they can onboard specialized AI employees for any role and interact with them in their workspace just like real employees, all with the privacy and security guaranteed by AWS.

    "In an enterprise, for every one mainstream role like engineer or recruiter, there are probably ten roles that are highly specialized to the processes and structure of that organization. For example, one of our customers is a large European airline that has a three-person team just for carbon emissions calculations—it's simply not possible to find a vertical AI solution for a role like this," said Brainbase Labs CEO and Founder Gokhan Egri. "These specialized teams add up. Even for a role as common as a project manager, the exact work of a PM varies greatly from company to company. When you're looking to achieve the performance gains you've been promised from switching to an AI workforce, these differences are make or break," added Gokhan.

    Built on AWS for enterprise scale

    Kafka Workforce leverages the full power of AWS's cloud infrastructure and AI services, including foundation models on Amazon Bedrock, such as Anthropic's Claude Sonnet, to deliver enterprise-grade AI employees. By building on AWS, Kafka provides seamless deployment options that integrate with existing AWS enterprise customers environments, ensuring data sovereignty, compliance, and the ability to scale from a single AI employee to thousands.

    "Brainbase Labs has found great success in leveraging AWS and Amazon Bedrock to power their innovative agentic workforce solutions," said Jon Jones, VP and Global Head of Startups and Venture Capital at AWS. "Brainbase is using the AWS AI tech stack to give enterprises the ability to easily deploy highly-specialized agents that seamlessly integrate into their existing workforce and processes. We're the best place to build and deploy the most trusted and useful agents and are thrilled to be powering startups that are advancing agentic AI to work alongside humans, reshape how we work, and improve productivity across every industry."

    This deep integration with AWS enables enterprises to maintain complete control over their data while benefiting from the advanced capabilities of state-of-the-art language models through Amazon Bedrock, all within their existing cloud infrastructure. Uniquely, Kafka doesn't just run on AWS — it can build and deploy resources on AWS, automatically provisioning the necessary compute, storage, and networking components as AI teams scale up or down based on workload demands.

    Starting with the generalized agents

    The introduction of Kafka Workforce comes on the heels of the release of Kafka. Just like a real coworker, Kafka comes with his own computer with access to browser, code, terminal, and a file system, as well as an email, phone number, and Slack, so you can reach him anytime. Using these tools, Kafka can autonomously complete tasks ranging from data analysis to code reviews. Kafka is the most capable generalist AI agent achieving state-of-the-art performance on the GAIA Level 3 benchmark. By starting from a capable generalist agent, all AI employees come readily available with a suit of powerful features including:

    • Powerful coding environment and shell access
    • Persistent file system
    • Access to 1000+ applications, including the most common enterprise applications
    • Browser Access
    • Full MCP Support
    • Communication Channels, including email, Slack, and phone systems
    • Task Planning

    Unlike a lot of companies that offer specialized solutions to their customers, Brainbase Labs' commitment to improve the underlying baseline agent gives enterprises unprecedented freedom in building specialized agents with minimal effort.

    Human-like behavior at the forefront

    In pursuit of their mission to enable AI in the global workforce, Brainbase Labs is betting on creating drop-in AI workers that are virtually indistinguishable from a remote human employee in enterprise teams. To achieve human-like behavior, they have designed high-fidelity environments that simulate the computers that human employees have, equipped with coding terminals, browsers, and more than a thousand applications ranging from G-Suite to Salesforce that the AI employees can access natively. These employees are then onboarded – not built – for their specific roles, through traditional tools like chat and video demonstrations.

    Once onboarded, Brainbase Labs is committed to making sure AI employees don't exist in the vacuum of a chatbox but rather coexist with their human counterparts. "Today, every AI employee created on Brainbase comes with its own unique email, phone and Slack account, so you can forward them an email you got from a customer, or tag them whenever there's an issue on Slack," explains Gokhan. "Very soon your AI employees will be everywhere your human employees are, joining your Zoom meetings, living on your Jira, fully present wherever they are needed."

    Kafka Workforce is available today for enterprise customers. To explore a bespoke deployment, contact Brainbase Labs at [email protected]. For more information, visit usekafka.com/enterprise.

    About Brainbase Labs

    Brainbase Labs is an applied AI research lab enabling AI in the workforce by building high-fidelity agent environments and tooling. Our thesis is that as AI costs asymptotically converge to the cost of energy, the proliferation of AI employees will not come from best of batch vertical point solutions with SaaS margins, but rather from a single entity that will act as the workforce supplier of the entire global economy charging a small percentage tax on each "worker minute". brainbaselabs.com

    Contact: Michael Liu, Chief of Staff

    Phone: 5734891816

    Email: [email protected]

    Website: brainbaselabs.com

    Cision View original content to download multimedia:https://www.prnewswire.com/news-releases/brainbase-labs-leverages-aws-to-launch-kafka-workforce-a-highly-specialized-ai-employee-platform-for-enterprise-302535261.html

    SOURCE Brainbase Labs

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