AI-Turbocharged Wave: Autonomous Agents, Scalable Infrastructure, Real-World Impact

We’re proud to open this month’s newsletter with a major milestone for Akvelon: Akvelon was officially featured by Apache Beam & Google Cloud Dataflow, recognized as a leader in open-source data engineering and AI-powered infrastructure.

We also take a closer look at AI agents, an area where we’ve been building real solutions, from logistics automation to infrastructure powered by the Model Context Protocol (MCP).

You’ll also find insights on open-source vs. proprietary AI models, curated tech updates, and upcoming events where you can connect with the Akvelon team.

Featured by Apache Beam: Secure, Scalable Data Engineering by Akvelon

Akvelon just hit a major milestone — officially featured by Apache Beam, the open-source backbone of Google Cloud Dataflow.

A huge thank you to Xiangqian Hu, Shanmugam K, and Mehran Nazir for their continued support!

The newly published case study highlights two of our key contributions from our team:

• A Flex Template for tokenizing sensitive data in batch and streaming workflows, built for Protegrity and deployed by a major North American credit reporting company.
• A CDAP-to-Beam connector layer, enabling 30+ CDAP plugins to run natively in Beam pipelines, reducing integration time from hours to minutes.

These innovations simplify complex data operations and empower the open-source community with enhanced privacy and performance tools.

Special shoutouts to our team:

• Nail Shakirov, for driving visibility of Akvelon’s work within the Apache Beam community.
• Vitaly Terentev, Akvelon’s Senior Java Software Engineer, who has now been named an official Apache Beam Committer!

As always, Akvelon remains committed to delivering secure, scalable, and production-ready data engineering solutions.

Smarter Sales Outreach, Automated in Seconds

Manual prospecting is slowing sales teams down and draining their focus. Our latest case study shows how we tackled this challenge by building Insight Bridge, Akvelon’s AI sales agent.

Insight Bridge, Akvelon’s AI sales agent, scans public data, identifies prospect needs, and drafts personalized outreach in under a minute, allowing sales teams to concentrate on conversions.

Explore how AI can streamline your outreach and improve team performance. Let’s talk.

Agentic AI in Logistics: Faster Deliveries, Lower Costs

Manual workflows slow down deliveries and drive up costs. In our LinkedIn post, we highlight how agentic AI can address real-world logistics challenges, from route planning and dispatch coordination to billing acceleration and inventory optimization.

With Gartner projecting that 33% of enterprise applications will use agentic AI by 2028, now is the time to consider where these tools can bring the most value. By automating key workflows in logistics operations, AI agents can help reduce delays, optimize resource allocation, and lower overall costs. 

At Akvelon, we help logistics teams identify high-impact use cases and build tailored AI agents aligned with business goals.

MCP Powering the Future of Autonomous AI

The Model Context Protocol (MCP) transforms AI systems into agents that act instead of just suggesting. 

In our LinkedIn post, we explain why MCP matters, how it connects AI to your ERP and DevOps stack, and how Akvelon helps turn it into real ROI.

MCP functions as a critical layer that enables AI agents to take direct action within business systems. Adopted by OpenAI, Google, Microsoft, and AWS, MCP AI models to trigger real-world operations like running pipelines, updating CRMs, and deploying code.

At Akvelon, we help businesses securely integrate MCP with ERP, DevOps, and enterprise systems to deliver real business value.

Open-Source or Proprietary AI? Choosing the Right AI Stack

Choosing the right AI model, open-source or proprietary, can shape your system’s flexibility, cost, and long-term performance. Read our LinkedIn post for a practical breakdown of the pros, cons, and use cases for both open-source models like Llama 4 and enterprise tools like GPT-4.5 and Claude 3.7.

At Akvelon, we help businesses navigate these trade-offs, design hybrid strategies, and stay aligned with evolving AI regulations so they can build smarter, future-ready systems.

Reach out to talk about which approach aligns best with your goals.

Akvelon’s DevOps Engineer Builds a Smarter Stack for Agentic AI on GKE

Congratulations to our DevOps Engineer, @Vlado Djerek, for his new tutorial, which was featured on the @GKE Labs website and built in collaboration with @Google Cloud. 

Explore the full tutorial and see how it works on our LinkedIn post.

The guide shows how to create advanced ADK agents using Ray Serve and Llama 3.1, supporting memory, tool use, and production-grade scalability. It offers a valuable reference for teams designing autonomous, cloud-native AI systems.

Congratulations to Vlado on this recognition!

Join Us at These Upcoming Events!

Kate Nyzhehorodtseva, Akvelon’s Director of New Business Development, will be attending:

• • TechEx North America – A leading conference on AI, automation, edge computing, and enterprise tech innovation
    June 4-5, 2025 · Santa Clara, CA

• BIO International Convention – Advancing global biotech innovation.
  June 16-19, 2025 · Boston Convention & Exhibition Center

Ashley Pikle, Akvelon’s Director of AI Business Development, will be attending:

• TechEx North America – A leading conference on AI, automation, edge computing, and enterprise tech innovation
  June 4-5, 2025 · Santa Clara, CA

• Data + AI Summit 2025 – The premier data, analytics, and AI innovation event.
  June 9-12, 2025 · San Francisco, CA

To connect with Kate and Ashley at these events or to set up a virtual meeting, reach out to them via direct messages on LinkedIn.

Keep up with the latest tech news, carefully curated and analyzed by Akvelon's experts:

• OpenAI Launches Codex: A Cloud Agent That Writes and Reviews Code
  Codex is OpenAI’s new cloud-based engineering agent that navigates codebases, implements and tests changes, and raises pull requests, all autonomously. It's powered by a specialized version of OpenAI o3, now rolling out to Pro, Enterprise, and Team users.
  

• Google’s BigQuery Agent Automates Data Engineering Tasks
  Google introduced a Gemini-powered agent that helps teams design, monitor, and test data pipelines in BigQuery. For fintech, healthtech, and logistics companies, it’s a major step toward AI-integrated infrastructure.
  

• Gemini 2.5 Pro Preview Rolls Out in Vertex AI and AI Studio
  Unveiled at Google I/O, the latest Gemini upgrade brings stronger code generation, smarter refactoring, and expanded agent workflow support, speeding up dev cycles and AI app delivery.
  

• OpenAI Releases Agent Playbook for Scalable AI Deployment
  OpenAI’s new tactical guide outlines how to build and scale AI agents using proven frameworks, code templates, and deployment strategies. At Akvelon, we help businesses apply these practices in production – quickly, securely, and ROI-focused.
• Meta’s Llama 4 Scout and Maverick Push Open-Source AI Forward

Meta’s new open-source models deliver significant gains in multimodal reasoning and performance, challenging proprietary systems with more flexible, cost-effective alternatives.

Let’s talk if you need help evaluating whether open-source adoption or system optimization will lead to better returns.

Share your feedback and ideas about what you’d like to see on Akvelon’s LinkedIn by emailing info@akvelon.com!