Jeremiah Landi

Delivery robots are limited by sidewalk surfaces, drones by the absence of low-altitude traffic control, hospice care by routing math and eligibility data, and hospital software adoption by rigid workflows.

• Each post names the specific constraint and the kind of fix it implies, rather than treating adoption as a question of better hardware or software.
• This thread ties the industrial posts to the healthcare ones.

Reporting from a CES 2026 food-tech panel on delivery in 2035, Jeremiah Landi argues that the industry funds robots while neglecting the surfaces they run on.

• A two-inch gap in a concrete slab should not end a delivery mission, they say, while drone fleets are limited less by battery life than by the missing digital traffic control that would act as stoplights in the sky.
• The friction, their post concludes, is in the terrain, not the tech.

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A CNC module or 3D-printing module can be unplugged, wheeled out, and replaced.

• The argument goes beyond equipment: people solve interoperability problems between modules made in different countries by meeting in person, often after trying to connect a German module to an American power grid.
• Landi’s point is that human relationships must become more durable as machines become more swappable.

The post contrasts the traditional German Stammtisch, or regulars’ table, with the 2026 factory floor.

• Its two numbered points: napkin sketches beat PowerPoints for solving interoperability problems, and a modular supply chain needs a modular social network.
• If machines are going to talk to each other around the clock, their owners need to trust each other first.

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Speed without integrated, real-time measurement just produces scrap faster, so the measurement system must be as smart as the assembly robots and run as part of the line, not as a final inspection step. They frame the difference partly as a cultural contrast: an American focus on how much can be produced versus a European focus on how precisely.

After the EACC Operations Showcase at Blum-Novotest’s new Competence Center, Landi writes that a factory producing a part every ten seconds is worthless if the parts fail at the finish line, and that automation without integrated metrology is a faster way to lose money. They say they joined the European American Chamber of Commerce specifically for this kind of cross-pollination between American and European manufacturing thinking.

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In their framing, hardware is a service with a physical shell, and connections matter more than components: supply partners who hold the same tolerances and business customers whose workflows the product becomes part of. B2B hardware sales are therefore an integration problem, not a transaction; partnership is a strategic asset, not a procurement line.

The post aimed at entrepreneurs names two things more important than the prototype.

• First, partnership: owning the primary technology does not mean doing everything yourself, and a great partnership is a shared soul, not a vendor agreement.
• Second, clarity in B2B sales: customers are buying a solution to a problem they did not know they had.
• Landi’s stated test is that removing the product should feel like removing a customer’s nervous system.

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Products succeed only once they survive what they call the livable space, reframing technical readiness as environmental readiness and treating hardware as an actor that must perform reliably in a chaotic human environment. For illustration, they look beyond engineering to a working creative practitioner and derive explicit engineering criteria.

Stage designer Es Devlin, described in the post as known for large-scale kinetic work and immersive environments for Beyoncé and Kanye West, is the case in point.

• Landi notes that a 30-foot sculpture does not exist in a vacuum but in a stadium with 60,000 people, shifting light, and a performer’s movement.
• They draw three lessons: the grid of the real world, the human body as the constant that sets scale, and designing for atmosphere.

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The bottleneck is not robot speed but outdated safety methods.

• They highlight sensing that lets a machine understand depth and slow or redirect itself instead of triggering a hard stop.
• It can also allow high-speed robots to be retrofitted into existing plants without rebuilding the floor.

Landi profiles Sensory Robotics at the University of Cincinnati’s 1819 Innovation Hub and Venture Lab Demo Day, describing how it uses advanced 3D sensing to build a fluid spatial model of the workspace. The post claims three benefits: continuous motion instead of binary on/off behavior, faster deployment without a cage, and accountability when a robot can see blind spots that older sensors miss.

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They argue that investors tend to focus on the cost of making a product—manufacturing costs, bill of materials, and tooling—rather than the value it enables. Community, they say, not capital, drives the ecosystem outside the coastal hubs.

The post describes a thread between Cleveland and Pittsburgh and credits William Tavel with connecting cities and helping founders through the proof-of-concept phase. Landi closes by asking whether the Midwest’s making culture is becoming their secret weapon—a question, not a pitch.

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One treats hospital-at-home and hospice as logistics problems where routing, real-time eligibility, and identity accuracy determine whether care scales.

• The other reports hospital executives saying their workflows are too rigid to absorb new technology quickly, so the failure lies with legacy infrastructure, not AI.
• These are the clearest examples of Landi applying the same constraint-first reasoning to another sector.

The hospice post cites VITAS Healthcare logging roughly 40 million miles annually and clinicians making six to eight home visits per day.

• One inaccurate phone number or an eligibility change, Landi argues, can collapse an optimized schedule.
• The hospital post reports executives concluding that systems must stop judging innovation by how much money it saves on day one.
• Landi’s line: AI is not failing healthcare; legacy infrastructure is failing AI.

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Start here for the clearest statement of the idea that runs through the rest of Jeremiah Landi's posts.

Landi contrasts the old "monolithic" assembly line with a plant split into independent cells that all share the same plug for power, data, and air.

• If a CNC module breaks, or a 3D printing module is needed instead, you unplug one, wheel it out, and plug in the next — what the piece calls "Plug-and-Produce" cells.
• The argument is that a modular supply chain needs a modular human network, so interoperability problems get worked out at a brewery with people who have actually tried to plug a German module into an American power grid, not in a boardroom.
• Two lines carry the point: "Napkin Sketches > PowerPoints" and "Social Capital," and the closing claim that as machines become more swappable, human connections have to become more permanent.

For brands planning a campaign

For a partner or speaker evaluation, cite this post when a campaign touches flexible or reconfigurable manufacturing: the cell-and-plug model can serve directly as a workshop frame or panel topic.

Start here for the quality-and-measurement side of the automation argument, which most vendor material skips.

Writing after the EACC Operations Showcase at Blum-Novotest GmbH's new Competence Center, Landi argues that "lights out" manufacturing is missing a vital organ: quality assurance.

• Producing a part every ten seconds is worthless if the parts fail at the finish line — "producing scrap at high speed isn't innovation."
• The claim is precise: the QA process isn't a final step, it must be the heartbeat of the entire line, and if measurement systems aren't as smart as the assembly robots, you are flying blind.
• Landi joined EACC Cincy because comparing American and European manufacturing philosophies produces what the post calls divergent thinking — Americans asking "how much," European counterparts asking "how precise."

For brands planning a campaign

A robotics or automation partner can use this post to judge whether Landi treats metrology and inspection as part of the automation story, not an afterthought — a key consideration for any brief about deployment on a live production line.

Start here for the practical safety and deployment side of automation.

Landi reports that robotics customers in Chicago keep asking for a perfect, fully accountable robotic solution while operating in a very imperfect world: tight floor space, unpredictable people, and legacy safety barriers such as physical fences and 2D light curtains that constantly create bottlenecks.

• The diagnosis: the problem isn't the robot's speed but an outdated approach to safety.
• The example is a University of Cincinnati Venture Lab Demo Day and a startup called Sensory Robotics, which uses advanced 3D sensing to build a live spatial model of the workspace so a machine can slow down or adjust its path instead of tripping a wire and stopping dead.
• That lets high-speed robots enter existing plants without a cage, and Landi frames the payoff as accountability as much as throughput.

For brands planning a campaign

Useful for a collaborator who wants to know how Landi talks to industrial buyers about safety standards and retrofit projects: the post names bottlenecks customers would recognize.

Start here for the commercial view behind the engineering posts.

The central claim is blunt: "Hardware is a service that just happens to have a physical shell," and most people look at the atoms — the silicon, glass, and tolerances — when they should be looking at the connections.

• Landi names two "best friends" more important than the prototype.
• First, the power of partnership: owning the primary technology doesn't mean doing everything yourself, and a great partnership is "a shared soul" rather than a vendor agreement.
• Second, the clarity of B2B sales: business customers aren't buying specs; they're buying a solution to a problem they didn't know they had until you showed it to them.
• Integration should be deep enough that removing the product would be like removing their own nervous system.

For brands planning a campaign

Point a prospective partner to this post when the conversation turns to go-to-market rather than technology: Landi sets out their position on partnerships and channel strategy in their own words.

Start here for the regional and capital side of Landi's work.

In software, Landi notes, nobody asks you to explain away your server costs — they're an accepted part of the architecture.

• In hardware, you are defending physics: an iteration can mean a "$20k tooling error or a 3-month supply chain lag."
• Investors, they write, hover around the making (manufacturing costs, bill of materials, tooling) rather than the delivering.
• That's the mismatch.
• The post then turns to community as the real driver, crediting William Tavel for the connective tissue between Cleveland and Pittsburgh and asking readers whether the Midwest's making culture is becoming their secret weapon.
• It ends with an open question to the reader rather than a pitch.

For brands planning a campaign

Useful evidence for a partner assessing whether Landi engages a specific regional ecosystem: the named Cleveland-Pittsburgh example is concrete enough to check before a joint event or introduction.

Start here to see how the account teaches through analogy rather than product announcements.

The post uses the stage designer es devlin — known for large-scale kinetic work and immersive environments for Beyoncé and Kanye West — to make an engineering point.

• A 30-foot sculpture doesn't exist in a vacuum; it exists in a stadium filled with 60,000 people, shifting light, and a performer's specific movement.
• Landi draws three lessons: the grid, meaning the real world orients the design just as it orients an audience in a dark arena; the human as the constant, since architectural scale is dictated by the body, reframing TRL 7 as environmental readiness rather than only technical readiness; and designing for the atmosphere, treating hardware as an actor that must perform reliably in a chaotic human ecosystem.
• The closing point: if you only solve for mechanical requirements, you are doing half the job — stop designing for the void, start designing for the room.

For brands planning a campaign

A speaker or workshop host can use this as an example of Landi presenting to a non-engineering audience. The analogy travels well and offers a concrete, quotable framing for usability and context of use.

Start here for a systems-level view of autonomous logistics.

Reporting from the CES 2026 Food Tech Summit session "Food Delivery 2035: Drones, Robots, and Underground Tunnels," hosted by Michael Wolf of The Spoon, Landi identifies three hurdles raised by a panel featuring Heather Rivera (Wing), Melissa Fahs (Coco), and Whitney Pegden (Wonder), moderated by Sandie M. of Blueberri.

• First, sidewalk physics: capital flows into bots, but not micro-mapping urban surfaces; a two-inch gap in a concrete slab shouldn’t end a mission.
• Second, airspace as the new real estate: drone delivery is constrained less by battery life than by digital traffic control—the cars exist, but the stoplights in the sky don’t.
• Third, the return of the physical hub: the 2035 winner will have the most integrated vertical footprint, so restaurants should be designed as launch hubs rather than for human walk-ins.
• The friction isn’t in the tech; it’s in the terrain—fund the track, not the toys.

For brands planning a campaign

The strongest single example for an audience that includes logistics or supply-chain professionals: Landi turns a conference panel into an infrastructure argument a technical buyer can act on.

Sidewalk slabs stop delivery robots, floor layouts require safety fences, hospice care runs on routing math, and hospital workflows are too rigid to absorb a new system quickly. Each post names the constraint and the fix it implies, rather than treating adoption as a technology question.

A conference panel, customer conversation, vendor site visit or executive room can be the starting point, with the argument built from named details rather than general claims.

For brands planning a campaign

A vendor that sells around a documented real-world constraint—or can show it has removed one—can be judged on its merits rather than as another product demo.

Examples: Source 1 · Source 2 · Source 3 · Source 4 · Source 5 · Source 6

The post links this to the Stammtisch idea: interoperability and supply-chain problems get solved face to face by people who have tried connecting a German module to an American power grid.

For brands planning a campaign

Strong fit for modular equipment, plug-and-produce automation, machine-tool and systems-integration vendors, and event or community formats that bring engineers and buyers together.

Examples: Source 1

If parts fail at the finish line, speed just produces scrap faster, so the measurement system must be as smart as the assembly robots. Landi frames an American focus on "how much" against a European focus on "how precise."

For brands planning a campaign

A clear angle for inline metrology, quality inspection, machine-vision and calibration suppliers to reach a manufacturing audience through a partner who talks about validation rather than throughput.

Examples: Source 1

They profile Sensory Robotics at the University of Cincinnati's 1819 Innovation Hub, which uses 3D sensing to build a fluid spatial model so a robot slows or adjusts its path instead of triggering a hard stop.

For brands planning a campaign

A useful showcase for 3D sensing, collaborative-safety and retrofit vendors whose pitch is adding automation to existing plants without rebuilding the floor.

Examples: Source 1

They recast technical readiness level 7 as environmental readiness and call hardware "actors" that must perform reliably in a chaotic human environment.

A creative practitioner outside engineering serves as the example, which Landi then translates into explicit engineering criteria.

For brands planning a campaign

Good for design, human-factors, testing and simulation partners, and for campaigns that favour field validation over specification sheets.

Examples: Source 1

The stated test is that removing the product should feel like removing a nervous system, making B2B hardware sales an integration problem rather than a transaction.

For brands planning a campaign

Fits partnership programmes, contract manufacturing and integration offerings that need a credible voice arguing that partnership is the product, not a procurement line.

Examples: Source 1

They argue investors focus on the cost of making the product rather than the value it delivers. The post credits industrial networks from Cleveland to Pittsburgh and names William Tavel as a connector between cities and founders.

The post pairs a funding argument with a community acknowledgement, so brands should expect the community angle to drive most reader response.

For brands planning a campaign

A natural opening for prototyping shops, tooling and supply-chain services, regional economic development groups, and hardware accelerators or founder communities.

Examples: Source 1

One argues hospital-at-home care will not scale on clinical innovation alone, but on routing math, real-time eligibility and identity accuracy, using VITAS Healthcare's mileage and daily visit volume as the example. The other reports hospital executives saying their workflows are too rigid to absorb new technology quickly, so AI is not the part that is failing.

The posts show subject interest, not a healthcare endorsement history; ask for examples of healthcare buying, partnership or sponsorship activity.

For brands planning a campaign

Extends Landi into health-tech operations, scheduling and data-quality vendors—a distinct audience from the industrial posts. Test the fit separately before assuming a match.

Examples: Source 1 · Source 2

The closing line: the friction is in the terrain, not the tech.

For brands planning a campaign

Relevant to mapping, UAV traffic management, urban infrastructure and food-logistics companies, particularly for event-adjacent content.

Examples: Source 1

Each opens on a named event, site visit, panel or conversation, states one governing argument, breaks it into two or three numbered observations, and closes with a blunt lesson or a question to the reader. Named people, companies and institutions carry the argument instead of general claims, and commercial tags appear only as a closing hashtag line.

The recurring structure offers a reliable planning assumption for a collaboration, not a one-off.

For brands planning a campaign

A brand can plan posts around a specific visit or conversation, using the numbered structure rather than a straight product announcement.

Examples: Source 1 · Source 2 · Source 3 · Source 4 · Source 5 · Source 6 · Source 7 · Source 8 · Source 9

The posts do not say whether they own, work for, or otherwise have a stake in a business by that name; only the hashtag is documented.

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This is the only documented affiliation.

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The post documents attendance at a hosted event, not a commercial or sponsorship relationship.

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The post documents attendance and commentary on the program, not a formal role, funding, or partnership.

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The company appears as an illustrative case, with no stated client, investment, or sponsorship tie.

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The post documents attendance and reporting on a hosted session, not sponsorship or commercial work with these companies.

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Kim's post on BMW's Neue Klasse strategy breaks a corporate reset into platform, procurement, AI, supplier model and organization, using the same numbered-analysis approach Landi uses to separate a broad claim into checkable parts.

Kim's work focuses on corporate strategy, funding news and market moves, often summarizing company announcements. Landi's draws on firsthand visits, panels and customer conversations, returning to a constraint-first argument about why technology stalls in real operating conditions.

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Yan maps investment opportunities in robot foundation models, simulation data and dexterous manipulation; Landi examines the same territory from the operations side, asking what has to be true on a factory floor or city sidewalk for the technology to scale.

Yan's lens is venture and market structure, often organized around national positions and investment theses. Landi's is operational observation, often organized around a visit, panel or customer problem and ending with a practical lesson.

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Gafvert's posts on IMTS and Pittsburgh Robotics & AI Discovery Day read as field reports from the same kind of industrial gatherings Landi draws on.

Gafvert's posts center on additive manufacturing and Carbon's materials and software as a production strategy, from a clear supplier vantage. Landi covers a wider range of sectors and tends to turn an observation into a general principle rather than a product case.

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The BMW post walks through a whole-company strategic reset: moving from one standardized world car toward a globally scalable platform with local execution; pushing AI into engineering, procurement, pricing, inventory and decision-making against roughly €80 billion of annual purchasing volume; keeping differentiating technology in-house while co-developing standardized components with outside partners; and cutting around 8,000 positions by the end of 2027 to reduce interfaces.

• The second post adds the funding layer: a USD 100 million Series C for modular, AI-driven robotic cells deployed in one to two days, sold partly through a Robotics-as-a-Service rental model that shares risk with customers, with RobCo targeting 50% of revenue from the US.
• For a modular automation vendor placing its equipment in a larger argument about localization, supplier roles and where capital is going, that framing is the differentiator.

The tradeoff is distance from production.

• Neither of Kim's posts covers a site visit, a named customer floor, a changeover timeline or operational details an engineer could act on; the focus is the company, the market and the funding round.
• Kim also writes partly in German, which suits a DACH audience and narrows reach elsewhere.
• If the campaign rests on documented changeover problems and metrology inside the cycle, Kim supplies strategic context rather than the argument itself.

Examples: Source 1 · Source 2

One post maps China's embodied-AI stack — components, embodiment, motion and control, foundation models, data and simulation, applications — names the companies funding each layer, and argues that the opening for Japan lies in physical-AI data, simulation and dexterous manipulation built on decades of factory know-how.

• The other traces how AI demand reaches established industrial suppliers: Generac's data-center backlog near $1.6 billion, Modine agreeing to supply more than $4 billion of data-center cooling products between 2027 and 2029, and $165 million paid up front to expand capacity.
• The pointed conclusion: the biggest beneficiaries of AI may not look like AI companies at all.
• For a vendor whose buyers must justify spending with a capacity, power or supply-chain case, this is the level of argument an executive audience already reads.

Joe Yan's posts offer an investor- and market-level view, with an Asia-Pacific entry thesis, but no operational detail: no line changeover, measurement step, safety-system deployment or named end-user site.

• A US plant-engineering audience gets context, not practical guidance.
• Use Joe Yan as the strategist on the panel, not the practitioner describing what happened on a floor when a line was reconfigured.

Examples: Source 1 · Source 2

The posts make a concrete, checkable case: a new gripper geometry means a new tool; a different durometer means fresh samples and a wait; every quick change costs weeks before anyone knows whether the part performs.

• With Carbon's materials and design-engine latticing software, the claim is CAD to a testable, engineering-grade part in the same day, then production using the same part and material, with no redesign.
• The second post adds field demand from defense programs, construction robotics, drone delivery, robot dogs patrolling data centers, and underwater drones needing parts stable across pH swings and constant saltwater exposure.
• That is a materials-and-iteration argument a robotics hardware company can evaluate directly.

Both posts are commercial: they promote Carbon's materials and a booth meeting at IMTS.

• The supplier perspective means this would need to be commissioned as a named-vendor contribution, not neutral editorial.
• The subject matter also stops at materials and additive manufacturing — no modular line design, metrology-before-speed argument, safety-system retrofit or view of factory organization.
• Gafvert is a strong complement when part performance is the bottleneck, but a weak substitute when the campaign's spine is line reconfiguration.

Examples: Source 1 · Source 2