Bud Ecosystem and DataLabs Corporation have formed a strategic partnership to deliver multi-vertical Generative AI (GenAI) agents to enterprises worldwide. The collaboration combines Bud’s AI Foundry infrastructure and runtime technology with DataLabs’ portfolio of domain-specific AI agents. Together, they aim to overcome key barriers to enterprise AI adoption, including integration, scalability, and hardware infrastructure challenges.

Solving the Key Challenges in Enterprise AI Adoption

One of the biggest hurdles enterprises face in adopting GenAI is hardware. Building new GPU-based infrastructure is not only prohibitively expensive but also slowed by today’s global GPU scarcity—delaying enterprise GenAI initiatives.

Bud Runtime, the universal GenAI inference engine from Bud Ecosystem, addresses this challenge by enabling enterprises to deploy GenAI on virtually any hardware infrastructure, whether GPU, CPU, HPU, NPU, or TPU. Even without a dedicated GPU setup, organizations can run GenAI workloads seamlessly on their existing standard CPUs, legacy systems, and commodity servers—while still achieving performance comparable to GPU-based systems.

“Enterprises have already made significant investments in their IT infrastructure,” said Linson Joseph, CSO of Bud Ecosystem. “With Bud Runtime, DataLabs’ agents can operate seamlessly on the hardware companies already own—removing the need for costly, specialized GPU deployments.”

Another major barrier to adoption is the lack of technical expertise. Many enterprises struggle with the complexity of deploying and managing GenAI models, leaving initiatives stalled at the proof-of-concept stage. Bud AI Foundry addresses this challenge by providing an opinionated, end-to-end platform that abstracts away the technical complexities. With its intuitive interface and pre-configured workflows, even non-technical executives can confidently deploy and scale GenAI models and agents—accelerating adoption across business units without requiring specialized AI knowledge.

The joint solution also offers unmatched scalability—extending seamlessly across on-premises, cloud, and edge environments without requiring costly infrastructure overhauls. Additionally, Bud Runtime’s heterogeneous cluster parallelism optimizes resource utilization by distributing workloads across available hardware. This ensures enterprises maximize the performance of their existing IT investments.

Together, these innovations deliver significant cost and efficiency benefits. Bud Runtime reduces infrastructure costs by orders of magnitude and lowers power consumption compared to GPU-based alternatives. With support for widely available hardware such as Intel Xeon and AMD processors, enterprises can accelerate their GenAI adoption without expensive data center modifications.

DataLabs’ Production-Ready Agent Portfolio

DataLabs offers pre-built, enterprise-tested AI agents that deploy directly on Bud Runtime. The company’s agent portfolio spans multiple industries:

• Financial Services: Compliance monitoring, fraud detection, risk assessment, and document processing agents
• Healthcare: Clinical documentation, patient intake automation, and medical coding agents
• Manufacturing: Predictive maintenance, quality control, and inventory optimization agents
• Customer Experience: Support automation, sentiment analysis, and recommendation engines
• Enterprise Operations: Document processing, contract analysis, and knowledge management agents

Each agent features a modular architecture for easy customization while maintaining core functionality. All agents are pre-optimized for Bud Runtime and require no additional configuration to run on CPU-based infrastructure.

“This collaboration with Bud marks a significant leap in making vertical GenAI agents truly accessible to enterprises of all sizes,” said Sony Lazarus, CTO of DataLabs. “By eliminating the need for specialized hardware and enabling out-of-the-box deployment, we’re removing the traditional barriers to adoption. Together, we’re accelerating how quickly organizations can realize tangible value from AI—across industries and use cases.”

Unified Infrastructure for Scale

The partnership between Bud Ecosystem and DataLabs delivers a powerful end-to-end platform for enterprise GenAI adoption. By combining DataLabs’ domain-specific agents with Bud’s AI Foundry and Runtime, enterprises gain access to a scalable, secure, and hardware-flexible solution. Bud Runtime and DataLabs’ pre-configured agents further simplify deployment—what once took months can now be achieved in hours, accelerating time-to-value for enterprises. Key capabilities include:

• Seamless Deployment: Zero-modification deployment of DataLabs’ agents on Bud Runtime via Bud AI Foundry.
• Automated Optimization: Automatic tuning for available resources, ensuring optimal performance across environments.
• Unified Management: A single interface to monitor, manage, and scale all deployed agents.
• Heterogeneous Cluster Parallelism: Support for mixed hardware environments—including CPUs, GPUs, and NPUs—for efficient workload distribution.
• Enterprise-Grade Security: Built-in security controls to protect sensitive enterprise data.
• Visibility and Control: Comprehensive monitoring and observability tools for AI models in production.
• Certified Integration: Red Hat OpenShift certification, ensuring seamless compatibility with existing enterprise IT ecosystems.
• Multi-Modal AI: Support for text, image, audio, and video processing—even on standard CPU infrastructure.
• Scalable Architecture: Start small with departmental deployments and scale up to enterprise-wide implementations, handling workloads from hundreds to millions of transactions by leveraging existing CPU capacity.

“This partnership marks a critical step toward industrializing GenAI,” said Linson Joseph, CSO of Bud Ecosystem. “By aligning infrastructure and intelligent agents, we’re solving the last-mile problem for enterprises that want real impact from AI, not just experimentation.”

Early deployments are already demonstrating measurable results. Financial institutions are processing millions of daily transactions, while healthcare providers are running AI-powered documentation agents across multiple facilities—all using their existing IT infrastructure.

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About Bud Ecosystem Inc.
Bud Ecosystem is an AI research company specializing in multi-modal Generative AI. Its mission is to simplify AI and break down the technical and financial barriers that prevent enterprises and individuals from accessing it. To date, Bud has open-sourced more than 20 models, including large language models, diffusion models, small language models, and CodeGen models. By advancing this diverse portfolio, Bud aims to enable organizations to harness AI technology in practical, profitable, and scalable ways.

About DataLabs Corp.
DataLabs is a global AI consultancy and product development firm that designs, builds, and deploys domain-specific AI agents and solutions for enterprises, with expertise in generative AI, automation, and intelligent process optimization.