Momenta Insights

What Works on the Ground | Newsletter May 2026

Written by Sandra Mueller | May 4, 2026

What Works On The Ground

What Hannover revealed about real adoption.

On the Ground at Hannover Messe 2026: 

Each year, our team invests several days on the ground at Hannover Messe, Europe’s premiere industrial event. 

We meet with portfolio companies, founders, operators, peer investors and partners across our ecosystem, assess how technologies are being positioned and deployed, and listen closely to learn where adoption is happening and where it is not.

We engage with our investors and industry partners, this year hosting a closed-door roundtable with investors and analysts focused on Physical AI and industrial execution. 

Hannover Messe provides a full panorama: from early innovation to production environments, and from promise, to pattern, to progress. 

Industrial AI is advancing quickly. Execution is not. 

What follows are the execution patterns we're seeing repeatedly. Closed‑door discussions during Hannover Messe often produce the highest‑signal insights. Away from the exhibition floor, we can host small, focused conversations on real‑world deployment.

What We Saw on the Ground
Physical AI is real. Deployment is where it breaks.

From humanoid robots to agentic systems, the underlying technology continues to advance rapidly.

Yet most systems still depend on controlled environments, human oversight, or manual intervention. In production environments, reliability, integration, and uptime remain unresolved.

In one discussion with an operator, a robotics pilot that performed well in testing failed to move forward. Not because the technology did not work, but because it could not be integrated cleanly into existing workflows without disruption.

This is often where initiatives stall.

What matters: Systems that operate consistently in live environments, not those that perform best in demonstrations.

Data readiness remains the constraint

Factories remain fragmented.

Digital twins, simulation environments, and AI agents were everywhere. But most organizations continue to struggle with unifying data across systems, sites, and workflows.

What matters: Without structured and contextualized data, AI does not scale.

The edge is where execution happens

Across deployments, one pattern continues to hold: intelligence is moving closer to the asset.

Cloud platforms remain critical for orchestration and analytics, but execution increasingly happens at the edge, where systems must operate reliably under real constraints.

What matters: The cloud orchestrates. The edge executes.

AI without domain expertise does not deliver

The strongest solutions combine advanced AI with deep operational and process knowledge.

In industrial environments, AI cannot operate independently of domain expertise. Systems only deliver when they are built around how processes run.

What matters: Domain expertise determines whether AI delivers outcomes or remains theoretical.

‘Buy, build, borrow’ is becoming the execution model

The most pragmatic operators are moving beyond strategy discussions and into execution.

  • Build where differentiation matters
  • Buy where speed matters
  • Borrow (partner) where scale matters

What matters: Structured execution frameworks are replacing abstract strategy.

Control systems remain deterministic for a reason

Despite momentum around language models (small and large), most companies are intentionally keeping them out of control loops.

In environments where failure is not an option, physics-based and deterministic systems remain foundational.

What matters: Reliability and predictability outweigh novelty in production environments.

Robotics is advancing. Integration remains the constraint

Collaborative and humanoid robotics continue to improve, and investment levels remain high. But productivity gains remain uneven, particularly in environments where humans and machines must operate together. Many deployments still rely on supervision, and training models for human robot collaboration are not yet standardized.

What matters: Performance is no longer the bottleneck. Integration into real workflows and coordination at the system level is.

Closing Thoughts

Hannover Messe, once again, showed plenty of innovation.

More importantly, it demonstrated where innovation often stalls.

Across sectors, a similar pattern: strong technology, early traction, and friction as systems move into production environments.

The next phase of industrial AI will not be defined by better models or more advanced demonstrations, but by systems that deploy cleanly, integrate into existing environments, and run without interruption.

In the end, only what deploys at scale will matter.

Upcoming Webinar – JUNE 18, 2026
From Pilot to Production: Where Industrial AI Wins or Fails

Strong pilots are not the problem. Scaling them is.

In industrial environments, many initiatives stall after proven results, when ownership, risk, and decision‑making change. This session focuses on what actually determines whether pilots turn into production.

In this session, we will cover:

  • Why successful pilots often fail to scale
  • What enterprise buyers look for before approving rollout
  • Where internal alignment breaks down, and how to address it early
  • What it really takes to move from pilot to production

Speakers:

A candid, practitioner‑led discussion grounded in real deployment experience.

Register for the session

Portfolio Impact

Agtonomy > Kubota Corporation invested in Agtonomy, accelerating collaboration on physical AI-driven automation for specialty crops and expanding commercial deployment in the US and Australia.

AICA > CEO Baptiste Busch spoke at the Swiss Cobotics Competence Center’s “Industry-Ready Physical AI” event, sharing insights on deploying physical AI and the importance of real-time adaptability in industrial settings.

HighByte > HighByte named a Leader in the IDC MarketScape: Worldwide Industrial DataOps Platforms 2026 Vendor Assessment.

Litmus > At Hannover Messe, Litmus highlighted how industrial AI is maturing as teams recognize that nothing scales without the right data foundation. Watch their recap video here.

MatAlytics > A deep dive into Momenta’s recent investment in MatAlytics, where engineering models are moving beyond simulation and into live operations.

Surveily > Surveily is seeking a Marketing Manager to lead campaigns and drive growth for their AI-powered industrial safety platform, based in Wroclaw.

Brain Food for Industrial Thinkers

Advanced Manufacturing Executive Intelligence - The Intelligence Council                                          A weekly research driven perspective on industrial transformation from the Intelligence Council and Emerging Strategy.

Automating Aggregation Strategy Selection in Federated Learning - ArXiv                                              A concise paper on making federated learning more adaptive with direct relevance for industrial and edge AI deployments. Lead author Dian Pang of Momenta portfolio company OctaiPipe.

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Momenta
is the leading Industrial Impact® venture capital firm, accelerating industrial innovators across energy, manufacturing, smart spaces, and the supply chain. Our team of deep industry operators has helped scale industry leaders and innovators to improve critical industries, the environment, and people's quality of life for over a decade. PitchBook recognized Momenta as a Top VC Fund Manager from 2023 through 2026 in its Global Manager Performance Score League Tables. For more information, please visit http://www.momenta.vc

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