VentureBeat’s flagship enterprise AI event, Transform 2026, is putting autonomous agents and agentic AI orchestration at the center of its Innovation Showcase. For founders and product leaders building serious enterprise agent platforms, this is a chance to put your technology in front of decision-makers, validate your approach with expert feedback, and reach a much broader market.
The event runs July 14–15, 2026, in Menlo Park under the theme “The Orchestration of Enterprise Agentic AI at Scale.” VentureBeat is now accepting applications for companies ready to demonstrate real-world, production-ready agentic AI—beyond generative content and into autonomous execution.
What Transform 2026 is actually looking for
The 2026 Innovation Showcase is explicitly focused on autonomous agents and the infrastructure that makes them reliable at enterprise scale. The call is not for general-purpose generative AI demos, but for systems that can reason, plan, and execute complex workflows with measurable business impact.
VentureBeat outlines several key focus areas for this year’s cohort:
- Enterprise agentic orchestration – Platforms or layers that coordinate multiple agents, tools, and services to deliver end-to-end workflows inside large organizations.
- LLM observability and evaluation (LLMOps) – Capabilities that let enterprises monitor, test, and continuously improve large language model behavior in production.
- RAG infrastructure – Retrieval-augmented generation stacks that reliably connect models with enterprise data to support agent reasoning.
- Inference platforms and optimization – Systems that make running and scaling agentic AI cost-effective and performant.
- Agentic AI security and identity – Approaches that address access control, identity, and safe execution for autonomous agents inside the enterprise.
Across all of these, the common thread is agents that are not just conversational, but operational: they can connect to systems, follow multi-step plans, and deliver outcomes with limited human intervention.
Inside the Innovation Showcase: format and audience

The Innovation Showcase is a centerpiece of Transform 2026, designed as a curated stage for up to 10 standout agentic AI technologies. If you’re selected, you’ll present live in front of hundreds of AI industry decision-makers—people who influence or directly control enterprise AI strategy and budgets.
During your session, you’ll receive direct, real-time feedback from a panel of enterprise tech thought leaders. The emphasis is on substance over spectacle: demonstrating how your agents reason, how they integrate into enterprise environments, and what real business outcomes they enable.
For early-stage and later-stage companies alike, the format offers a mix of visibility, critique, and validation that is difficult to replicate elsewhere. It is designed to surface technologies “poised to redefine the enterprise,” not prototypes that are years away from production.
Who should seriously consider applying
The call is open to a range of organizations building agentic AI, but the expectations are clear: VentureBeat is looking for “dynamic companies with compelling agentic AI technologies that are ready for prime time.” That means you should have something more than a concept—an actual product or platform that can be deployed in enterprise contexts.
Two broad categories of solutions are explicitly invited:
- Specialized autonomous agents that support workers in specific domains or functions (for example, operations, support, finance, or security), provided they can independently handle complex workflows.
- Orchestration layers that manage, route, and coordinate AI agents, including the infrastructure and controls that make multi-agent systems usable and governable in the enterprise.
The call also extends to units within mature, large companies that are building agentic AI platforms internally. If you are responsible for autonomous workflows and want to showcase how you are industrializing agentic AI, you fall within the intended audience.
Track structure: where your startup or unit fits
To keep comparisons meaningful, the Innovation Showcase is divided into two tracks based on funding or resource levels. VentureBeat will select up to 10 candidates in total, split as follows:
- Track 1: Seed to early-stage Series A – Up to five companies that have raised $50 million or less. This is likely where most early-stage platforms and focused agent startups will fit.
- Track 2: Series B+ and enterprise units – Up to five companies or internal units that have raised or been allocated more than $50 million. This track is appropriate for more capitalized startups and established corporate innovation teams.
This structure ensures that smaller companies are not evaluated directly against heavily funded later-stage players, while still being exposed to the same high-level audience and feedback.
What you gain if you’re selected

Beyond the visibility of the main stage, selected innovators receive several notable benefits tied directly to VentureBeat’s platform and audience.
First, live exposure: you’ll be presenting to hundreds of AI decision-makers at Transform 2026. These are the people responsible for evaluating, buying, and integrating AI in large enterprises, making the audience highly aligned with commercial go-to-market goals.
Second, curated feedback: your presentation is followed by commentary from a panel of enterprise tech thought leaders. Their perspective can help you refine your product narrative, sharpen your positioning, and stress-test whether your “autonomous” label holds up under scrutiny.
Third, editorial coverage: every presenter receives exclusive editorial coverage from VentureBeat. That coverage puts your agentic AI technology in front of millions of monthly readers, extending the impact far beyond the physical event.
Past Innovation Showcase winners have benefited from this spotlight; Solo.io, for example, was highlighted as the “Most Likely to Succeed” at VB Transform 2025, reinforcing how the Showcase can act as a credibility and visibility multiplier.
How to tell if your agent is ready for the main stage
Because Transform 2026 focuses on agents that “reason, plan and execute complex workflows independently to drive real business value,” it’s worth honestly evaluating your product before you apply.
Based on the event’s criteria and focus areas, your agentic AI offering is more likely to be a fit if:
- It is already being used—or is deployable—in enterprise settings, not just a lab demo.
- It can operate with a meaningful degree of autonomy, not simply responding to single prompts.
- It is connected to relevant enterprise systems, data, or tools, enabling it to complete end-to-end workflows.
- You can describe tangible, measurable results or clear business outcomes enabled by your agents.
If your current product is still at the “chatbot with plugins” stage, it may be early for this particular showcase. But if you’ve moved into orchestrated, multi-step, high-value workflows—especially in the areas of observability, RAG infrastructure, inference optimization, or security and identity—you are squarely within the profile Transform 2026 is prioritizing.
Key dates, application details, and next steps

The application window for the Innovation Showcase is open now. Founders and product leaders aiming to be on stage at Transform 2026 should be aware of one critical deadline:
Application deadline: June 1, 2026, at 5:00 p.m. PT.
Submissions are handled via an online form provided by VentureBeat. You’ll be expected to clearly articulate what your agents do, how they work in enterprise environments, and what results they deliver. Because the Showcase is limited to up to 10 companies across both tracks, the selection process will be competitive.
If you believe your autonomous agents are ready to operate—and impress—at enterprise scale, this is an opportunity to validate that belief in front of a highly targeted and influential audience. With the focus of Transform 2026 squarely on agentic AI orchestration, the Innovation Showcase is positioned as a key stage for demonstrating what the next phase of enterprise AI actually looks like in production.

Hi, I’m Cary Huang — a tech enthusiast based in Canada. I’ve spent years working with complex production systems and open-source software. Through TechBuddies.io, my team and I share practical engineering insights, curate relevant tech news, and recommend useful tools and products to help developers learn and work more effectively.





