Erel N. Margalit works with JVP and Margalit Startup City to connect Israeli and international technology companies. Margalit's posts highlight investment and partnerships in vertical AI—AI built for specific industries such as banking, insurance, cybersecurity, and healthcare.
52.3K followersVertical AIBased on 10 posts · latest Sep 2026
They are useful for thought leadership campaigns focused on vertical AI and cross-border technology partnerships.
Best for
Enterprise cybersecurity or vertical-AI vendors targeting regulated industries like banking, insurance, and healthcare.
Not for
Consumer or performance marketing campaigns requiring tracked conversions, discount codes, or specific demographic reach.
Key takeaways
They argue AI should be built for specific industry rules, not as a general tool.
They describe cross-border partnership models between US, Israeli, and German companies.
Content links industry technology with broader national renewal and civic priorities.
Check first: Request LinkedIn follower demographics or a recent audience survey before committing to a campaign.
Main ideas
Build AI for one industry at a time, not as a general tool · As AI agents take on sensitive work, cybersecurity becomes machine against machine · Build partnerships ecosystem to ecosystem, not deal by deal
Margalit works with JVP and Margalit Startup City, connecting Israeli and international technology companies.
They champion vertical AI—systems designed for the needs and rules of specific industries—and describe how technology partnerships can link companies across countries.
Their writing also reaches beyond investment: one post argues that Israel’s future depends on rebuilding communities, creating opportunity, and cooperation across social and political divides.
Follow them for industry-focused AI arguments, examples of cross-border ecosystem building, and perspectives on Israel’s innovation economy.
Margalit connects a clear technology thesis to practical examples and wider public concerns.
The AI-risk post argues that critical industries should not simply avoid AI; they need safeguards suited to their work.
It names companies in finance, insurance, cybersecurity, healthcare, and IT to illustrate the point.
The Frankfurt visit post makes the partnership model tangible, describing meetings in New York intended to connect Israeli, US, and German companies.
The Rosh Hashanah post offers a counterpoint to the business focus, emphasizing social cooperation and rebuilding, with technology as one part of a broader national renewal agenda.
Together, these posts link industry-specific technology with partnerships and economic development while addressing civic priorities.
Margalit argues that artificial intelligence should be built industry by industry, not as one general-purpose tool, because regulated sectors such as banking, insurance, cybersecurity and healthcare carry rules and risks that generic systems do not account for.
As AI agents gain access to sensitive data and critical systems, defense becomes a machine-to-machine problem as well as a human one, calling for industry-specific safeguards and government standards.
On partnerships, Margalit describes working "ecosystem to ecosystem," using hosted visits and a New York hub to connect Israeli, US and German companies rather than pursuing one-off deals.
Another post widens the frame: in Margalit's account, Israel's future depends on technology-driven growth and cross-community cooperation, not security alone.
Build AI for one industry at a time, not as a general tool
Margalit's central public argument is that "Vertical AI" — AI designed around a specific industry's limits, rules and risks — is the right way to bring automation into regulated sectors.
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A system trained and governed for one regulated context can carry safeguards, policies and compliance logic that a general model cannot.
That matters most when AI agents touch sensitive data or mission-critical tasks.
This is not an argument against adoption: one post says AI should not be kept out of critical infrastructure, but used to manage transportation, allocate hospital resources and run countries more intelligently.
The condition is industry-specific safeguards and defenses built for the new threat model.
The AI-risk post names companies as sector-by-sector examples: ThetaRay for financial institutions and anti-money-laundering work, Earnix for insurance under each regulator's restrictions, Akeyless for machine-to-machine secrets and agent identity verification, Nanit for infant monitoring, and ControlUp for IT infrastructure in large organizations. The Frankfurt visit post repeats that portfolio companies are "leading the Vertical AI transformation across banking, insurance, cybersecurity, and healthcare."
The two posts use the same thesis for different purposes.
In the partnership post, vertical AI gives German and Israeli companies something concrete to trade.
In the later AI-risk post, vertical AI becomes a defensive necessity: "without Vertical AI, organizations are exposed."
As AI agents take on sensitive work, cybersecurity becomes machine against machine
Margalit warns that the same intelligence improving economies can be weaponized.
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They cite a public warning attributed to OpenAI, Anthropic, Microsoft, Amazon Web Services and more than 100 other technology and cybersecurity organizations that governments and major industries may have only months to prepare for a wave of AI-enabled attacks.
The concern is cost and speed: AI makes sophisticated attacks faster, cheaper and more accessible, putting hospitals, water systems, power grids, government institutions, banks and insurers in range.
AI agents working with sensitive data can be manipulated or redirected, assume false identities and cause harm at a scale and speed not seen before.
Margalit calls for layered defenses: industry-specific safeguards, clear policies, machine identity verification, threat-intelligence sharing, and treating AI-enabled cyber defense as national infrastructure.
Akeyless is the concrete defense example: it enables machine-to-machine secrets management so agent identities can be monitored and verified, preventing fake identities from entering AI networks.
The post attributes the warning to OpenAI, Anthropic, Microsoft, AWS and the other named organizations; Margalit reports it rather than originating it.
Keir Simmons of NBC News is separately named as the interviewer whose questions shaped the Rosh Hashanah post.
Build partnerships ecosystem to ecosystem, not deal by deal
Margalit describes a method rather than a single transaction: bring partners into an existing network, introduce them to portfolio companies, and build market access on both sides.
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The stated goal of the Frankfurt visit was to give US and Israeli companies access to players in the German market and connect German emerging technology companies to North American and Israeli technology.
The approach is deliberately hands-on and repeated: host people in the New York hub, show them the portfolio, build the strategy together and invite them back.
Margalit calls it "ecosystem to ecosystem."
The post titled "The JVP Triangle in action" describes welcoming Holger Follmann and Jonas Stüdemann from Frankfurt to JVP and Margalit Startup City New York in SoHo, after earlier meetings in Germany.
The visitors met portfolio companies working on vertical AI in banking, insurance, cybersecurity and healthcare.
The post says the visit advanced concrete opportunities for portfolio companies across Germany and Europe.
It invites German and Frankfurt companies to use the New York hub when they are in the city and says a major collaboration is already taking shape.
The tagged list includes Futury Capital, ThetaRay, ControlUp, Earnix, Morphisec and Centrical.
Ask for the terms of those relationships; the post does not specify them.
Israel's next chapter needs technology and rebuilding, not security alone
In a Rosh Hashanah reflection, Margalit answers questions they say Keir Simmons asked in a recent NBC News conversation: can Israel change, and can it overcome its internal divisions?
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Their answer is yes, citing what they describe as quiet, daily collaboration in Jerusalem between Jewish and Arab communities and between secular and ultra-Orthodox communities, in technology, education, business and neighborhoods.
Margalit argues that security alone is not enough; it should be paired with rebuilding the North, creating jobs, strengthening education and communities, and giving young people a reason to believe in the future.
The post names technology and innovation as central engines of Israel's next growth phase and calls for cooperation across the right, center and left.
The post points to vertical AI, cybersecurity, food, agriculture and health as areas where Israeli innovation can drive growth and deepen international partnerships. It contrasts political divisions with everyday cooperation that "rarely make headlines" but is, in Margalit's account, real.
This post shifts from investment and partnership to a public, non-commercial argument about national direction, applying the same technology thesis to a civic purpose.
Margalit’s public argument: AI is arriving faster than the safeguards protecting the industries it touches. This post answers the question “What is this person’s central case?” before you look at any deal or partnership post.
The post frames AI as a dual-use technology: the same capabilities that improve economies can be turned against hospitals, water systems, power grids, banks, insurers, and government institutions.
Margalit cites a warning attributed to OpenAI, Anthropic, Microsoft, AWS, and more than 100 technology and cybersecurity organizations that governments and major industries may have only months to prepare for AI-enabled attacks.
The recommendation is not to keep AI out of critical infrastructure, but to admit it with industry-specific safeguards, clear policies, and defenses built for the new threat model.
The post names concrete examples: ThetaRay for financial institutions and anti-money-laundering work, Earnix for insurance and regulator-specific constraints, Akeyless for machine-to-machine secrets and agent identity verification, Nanit for infant monitoring, and ControlUp for IT infrastructure.
It closes with a call for governments to set standards, share threat intelligence, and treat AI-enabled cyber defense as national infrastructure.
For brands planning a campaign
For a venture capital or enterprise AI partner, this post offers a clear lane: threat-and-governance framing for regulated industries, not generic AI optimism.
A collaboration or speaking slot on agentic cybersecurity, AI agent identity, or industry-specific AI regulation would build on an argument Erel N.
Margalit already makes publicly.
The named companies provide concrete anchors for a joint session or co-authored piece.
This post shows how the partnerships work, not just what they are.
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It is the most operational of the three: who visited, where they met, and what was agreed. Open it second to see what Margalit does day to day.
Margalit describes welcoming two partners from Frankfurt to JVP and Margalit Startup City New York, in SoHo, after earlier meetings in Germany.
The visitors met portfolio companies working on vertical AI across banking, insurance, cybersecurity, and healthcare.
The post says they formed a strategy to give US and Israeli companies access to players in the German market and connect German emerging technology companies with North American and Israeli technology.
Margalit reiterates the vertical AI position and sums up the method in one line: “ecosystem to ecosystem.”
The post invites German and Frankfurt companies to use the New York hub as a base, says concrete opportunities for portfolio companies in Germany and Europe advanced, and teases a next collaboration.
Tagged people and companies include Futury Capital, ThetaRay, ControlUp, Earnix, Morphisec, and Centrical.
For brands planning a campaign
For a B2B technology company weighing market entry or partner access, this post shows a route, not just a slogan: a physical hub in New York and an existing bridge into the German market, with portfolio companies as proof of activity.
A practical collaboration could take the form of a market-entry session, a hosted delegation, or a partner-matching event using the same ecosystem-to-ecosystem model.
The post tags partners but does not state the terms; ask whether the relationships are paid or operational.
This post broadens the investment story into Margalit’s public voice.
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It answers “What does Margalit care about beyond deals?” and is the only one to combine personal reflection, a broadcast interview, and a national economic argument.
On Rosh Hashanah, Margalit revisits questions from a recent NBC News conversation with Keir Simmons: can Israel change, and can it overcome internal divisions?
The answer is yes, supported by everyday cooperation in Jerusalem between Jewish and Arab communities and between secular and ultra-Orthodox communities across technology, education, business, and neighborhoods.
Margalit argues that security alone is not enough, pairing it with rebuilding the North, creating jobs, strengthening education and communities, and giving young people a reason to believe in the future.
The post names technology and innovation as central to Israel’s next growth phase, spanning vertical AI and cybersecurity, as well as food, agriculture, and health.
It closes with a call for cooperation across the right, center, and left—and for listening.
For brands planning a campaign
For a thought-leadership or speaking brief, this post shows Margalit making a broad, non-commercial argument in public, including on broadcast media.
Partners seeking a keynote or op-ed collaborator on regional innovation, cross-community technology, or rebuilding after conflict have a documented example to build on.
The piece is deliberately non-promotional, so it is a poor fit for a campaign focused solely on product placement.
Communication approach: macro framing plus named examples3
Vertical AI for regulated industries2
AI-enabled cyber risk and machine-to-machine defense1
Ecosystem-to-ecosystem partnerships and cross-border market access1
Israel’s technology economy, resilience, and civic renewal1
Vertical AI for regulated industries
Erel N.
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Margalit argues that AI must be built for the rules, risks, and workflows of specific industries, especially banking, insurance, cybersecurity, and healthcare.
The posts cite ThetaRay in financial compliance, Earnix in insurance, Akeyless in machine identity, Nanit in infant monitoring, and ControlUp in IT infrastructure.
The argument: regulated sectors should adopt AI, but with industry-specific safeguards, clear policies, and defenses for agentic systems handling sensitive data.
Grounds the thesis in named companies across distinct regulated sectors, not generic AI claims.
For brands planning a campaign
A venture capital or enterprise AI brand can propose a speaking slot, co-authored explainer, or working session on why vertical AI matters in regulated industries. Named company examples offer a concrete starting point for discussing adoption barriers, safeguards, and regulatory fit.
AI-enabled cyber risk and machine-to-machine defense
One post warns that AI makes sophisticated cyberattacks faster, cheaper, and more accessible, putting hospitals, water systems, power grids, government institutions, banks, and insurers at risk of serious disruption.
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It says AI agents can be manipulated, redirected, or made to assume false identities, turning cybersecurity into machine against machine. The proposed response includes industry-specific safeguards, clear policies, machine identity verification, threat-intelligence sharing, and treating AI-enabled cyber defense as national infrastructure.
For brands planning a campaign
A cybersecurity or enterprise AI brand can propose a keynote or panel on agentic cybersecurity, machine identity, and public-private standards. The specific policy recommendations suit a government-industry event, not just a general AI talk.
Ecosystem-to-ecosystem partnerships and cross-border market access
Erel N.
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Margalit describes welcoming Frankfurt partners Holger Follmann and Jonas Stüdemann to JVP and Margalit Startup City New York.
After meetings in Germany, the visit included meetings with portfolio companies working on vertical AI in banking, insurance, cybersecurity, and healthcare.
The stated strategy is to connect US and Israeli companies with German market players, while giving German emerging technology companies access to North American and Israeli technology.
The post also invites German and Frankfurt companies to use the New York hub.
Uses hosted visits and in-person convenings to turn initial discussions into concrete cross-border strategies.
For brands planning a campaign
Brands seeking European or Israeli market access can propose a hosted delegation, cross-border pilot, or ecosystem convening with JVP and Margalit Startup City instead of a one-off sponsorship. The post favors working through existing portfolio and partner networks.
Israel’s technology economy, resilience, and civic renewal
A holiday reflection links Israel’s future to technology and innovation as a central growth engine.
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Erel N.
Margalit writes that security alone is not enough and calls for rebuilding the North, creating jobs, strengthening education and communities, and giving young people reasons to believe in the future.
The post points to vertical AI, cybersecurity, food, agriculture, and health as areas where Israeli innovation can drive growth and deepen international partnerships.
It also calls for cooperation across the political spectrum.
This post shifts from investment to holiday reflection, national resilience, and political cooperation.
For brands planning a campaign
For brands with an Israel innovation or social-impact mandate, a speaking or partnership angle can focus on technology as a driver of regional rebuilding, cross-community collaboration, and international business links. The civic framing reaches beyond a pure investment audience.
Communication approach: macro framing plus named examples
Across the posts, the approach is to open with a broad shift or current event, connect it to a vertical AI or innovation thesis, then name companies, partners, or policy actions.
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One post moves from an industry-wide cyber warning to specific portfolio companies and government recommendations.
Another moves from a holiday reflection to Israel’s technology economy.
A third uses a partner visit to illustrate cross-border ecosystem building.
Typically opens with a macro shift or current event, narrows to a vertical AI argument, then names companies, partners, or policy steps.
For brands planning a campaign
Brands can expect thought leadership that pairs a macro frame with named examples and a call to action. The format suits co-authored industry explainers, event keynotes, or policy-facing roundtables, rather than purely product-centric promotion.
Margalit posts on LinkedIn about building AI industry by industry, AI-driven cyber risk, and moving companies between Israel, the United States and Europe through a venture network.
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Three posts show the pattern: start with the vertical AI argument, then read the cybersecurity warning, then the Frankfurt visit post for how partnerships get made. The comparison creators below cover the same themes from different vantage points: state economic development, defense procurement, and event-floor market analysis.
Beigelman works the same Israel-to-United-States lane as Margalit, but from the receiving end.
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Where Margalit describes hosting partners inside an investment hub, Beigelman makes the case directly to Israeli founders, asking "why should I care about Ohio?" and listing aerospace, defense, fintech, medical devices and advanced manufacturing as soft-landing targets. Both treat American regional economies as a product Israeli companies can plug into, and lean on concrete named assets rather than general encouragement.
Beigelman's evidence is state-level: Wright-Patterson Air Force Base, Starlab at Ohio State, the Blue Abyss training facility, 640 aerospace supply companies, and Ohio House Bill 188.
Margalit's is portfolio-level, organized around vertical AI companies and a New York hub.
Read Beigelman for the state incentives and geography argument, and Margalit for how a venture ecosystem packages a market entry.
Brog covers the same growing market Margalit addresses — Israeli technology selling into the United States — and both write for decision-makers rather than general readers.
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Brog's post on the IDF's new AI division reads like an analyst note on how battlefield validation converts into United States Department of Defense procurement, mapping AI projects onto JADC2, Replicator, Foreign Military Sales funding and SBIR/STTR transitions. They show the same instinct when naming ThetaRay, Earnix and Akeyless as sector-by-sector proof points.
Brog's field is defense and dual-use hardware: contested logistics, heavy-lift drones, loitering munitions, and what the Pentagon is actually buying.
Margalit stays in commercial regulated sectors such as banking, insurance and healthcare.
Brog also writes in procurement language — pathways, timelines, contracting vehicles — while Margalit frames the same adoption question around regulation and safeguards.
Eskey covers two of Margalit's subjects from close range: Israeli technology scaling against hard odds, and cybersecurity vendors repositioning under AI.
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Their panel write-up on Israeli founders argues that small home markets force global thinking and that companies such as Fiverr and CyberArk are moving Israel from start-up nation to scale-up nation.
Their cybersecurity summit post takes five vendor talks, identifies a common pivot, then asks what buyers should do about it.
Both creators turn conference material into a named, argued point of view.
Eskey reports from the room as an attendee and market analyst, quoting speakers and closing on an open question: they end one post by saying no speaker named the buyer's problem.
Margalit writes as an investor inside the system being described, using portfolio companies as examples and pointing toward a policy response.
Follow Eskey for vendor-by-vendor positioning; follow Margalit for the investment thesis behind it.
The oldest published audience fact is LinkedIn reach: the account shows 52,331 followers as of 8 October 2026.
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That is a platform count, not a measured audience composition, so it tells a buyer how many people might see a post but nothing about who they are.
Erel N.
Margalit's posts do not say where followers live, their ages or genders, or their employers or job seniority.
The posts dated 2, 11, and 29 September 2026 contain no audience data of their own.
A buyer should therefore treat this as an open question, not a settled match: if a campaign aims to reach banking, insurance, cybersecurity, or healthcare decision makers, ask for LinkedIn follower demographics or a recent audience survey before committing.
What the posts do show is the kind of reader the content is written for.
They assume familiarity with venture investing, Vertical AI (AI built for the rules and risks of one industry), and Israeli and US technology markets; two name portfolio companies and partners directly, and one recounts an interview with an NBC News correspondent about Israel's economy and society.
That signals an audience of investors, founders, corporate innovation and partnership teams, and policy-interested readers rather than, say, hands-on engineering practitioners.
Selected examples: the 2 September 2026 post lists ThetaRay, Earnix, Akeyless Security, Nanit, and ControlUp as vertical-AI companies and calls for government standards on AI-enabled cyber defense; the 29 September 2026 post describes hosting German partners from Futury Capital at Margalit Startup City New York to connect US, Israeli, and German technology companies.
These are appeals to people who can act on partnerships and investment, but content appeal does not show who actually follows the account.
Concrete next step: request (1) LinkedIn follower demographics (geography, age, gender) covering the last 12 months, and (2) any audience survey or event-attendee profile that speaks to seniority, employer type, and job function, since LinkedIn's published demographics do not verify employer, occupation, or seniority.
If no survey exists, note that gap rather than filling it in.
LinkedIn followers
52,331
LinkedIn profile follower count for the account that published the reviewed posts · 2026-10-08
Margalit’s posts frame partnership work as ecosystem building rather than a published creator sponsorship program.
In a September 29, 2026 post, they welcomed Frankfurt partners Holger Follmann and Jonas Stüdemann to JVP and Margalit Startup City New York.
The partners met portfolio companies and reviewed vertical AI work in banking, insurance, cybersecurity, and healthcare.
Margalit says the group developed a strategy to give US and Israeli companies access to players in the German market and connect German emerging technology companies with North American and Israeli technology.
They also invited German and Frankfurt companies to use the New York hub when in the city.
These details may interest buyers seeking ecosystem introductions, portfolio briefings, or a New York presence, but they do not describe a sponsorship package.
Ask directly about sponsorship terms, deliverables, and how to inquire.
Need: an enterprise cybersecurity or vertical-AI vendor selling into regulated industries (banking, insurance, healthcare) wants a credible public voice for a thought-leadership campaign and a practical route to US, Israeli, and German enterprise buyers.
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Budget covers a keynote or roundtable, a co-authored explainer, and a partner event.
Decision: pursue this creator, with terms settled directly rather than through a published package.
Margalit repeatedly makes a specific argument: AI should be built for the rules, risks, and workflows of a single industry, with named companies as examples — ThetaRay in financial compliance, Earnix in insurance, Akeyless in machine identity, Nanit in infant monitoring, ControlUp in IT infrastructure.
A vendor has something concrete to attach to instead of generic AI enthusiasm.
The second reason is method.
The Frankfurt partner visit post describes a working cross-border motion: partners from Germany met portfolio companies at Margalit Startup City New York, formed a strategy to open the German market to US and Israeli companies and the reverse, and were offered the hub as a base.
A brand seeking market entry gets a described process, not just a logo placement.
Third, the public communication format is macro framing, then a vertical-AI argument, then named examples, partners, or policy steps — a natural shape for the co-authored explainer or keynote this campaign needs.
Fit is genuine but not unlimited.
No sponsorship policy, rate card, deliverable list, or inquiry route appears in their posts, so start with a direct conversation.
The LinkedIn account showed 52,331 followers on 8 October 2026, but audience composition is unverified: there is no geography, seniority, employer type, or occupation data.
The content reads as written for investors, founders, corporate innovation and partnership teams, and policy-interested readers, which is directionally right for this campaign, but reach by segment cannot be promised.
One post is a deliberately non-commercial reflection on Israel's future, so a product-promotion campaign would sit badly against the established tone.
Best structure: the vendor's subject matter and their standing thesis carry the content; the vendor participates in the argument rather than becoming the subject of an advertisement.
When to choose a specialist
Need: a consumer or performance-marketing campaign — a consumer app or physical product wants paid sponsored posts with tracked conversions, a reach guarantee, discount codes, product-demo content, and a named target demographic such as US women aged 25–40.
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Decision: do not propose this creator; say so plainly rather than repackaging the fit.
The three posts examined show no sponsorship program: no rate card, deliverable list, sponsor policy, application form, or partnership inquiry route.
There is no performance data — no click, conversion, sales, or campaign results — to support a conversion target.
The only measured figure is a LinkedIn follower count of 52,331 observed on 8 October 2026; that count says nothing about who those people are.
Without audience demographics or a survey, a campaign that depends on reaching a defined consumer segment cannot be assessed, let alone promised.
The published content also points the wrong way: it addresses venture investing, regulated-industry AI adoption, cybersecurity policy, and Israel's technology economy, with one post written in a personal, non-promotional register tied to a religious holiday.
There is no demonstrated product-review, demo, or entertainment format, and no video, audio, or transcript was available to suggest one.
The three recent LinkedIn posts place the creator's public arguments but do not support a high-volume sponsored-post schedule.
Reconsider only if they provide written sponsorship terms, recent audience demographics or a survey showing geography, age, and job function, and at least one documented sponsored product campaign with performance results.
Until then, route a conversion-led consumer campaign to creators who can provide that information.
A worked campaign example
A worked angle for the suitable campaign: "Regulated AI, from thesis to pilot." The partner is an enterprise cybersecurity or vertical-AI vendor selling into banking, insurance, or healthcare, and the objective is pipeline rather than impressions.
Part one is a closed practitioner session at Margalit Startup City New York, using the format shown in the Frankfurt visit: a small invited group of enterprise buyers and portfolio companies, one industry focus, and a working agenda rather than a presentation.
Suggested topic: agent identity and machine-to-machine defense in regulated environments.
One post warns that AI agents can be manipulated, redirected, or assume false identities, and calls for machine identity verification, threat-intelligence sharing, and treating AI-enabled cyber defense as national infrastructure.
That is specific enough to carry a session.
Part two is a co-authored explainer that takes a single industry and walks readers through the problem the vendor solves: the regulator's constraint, the operational risk, and the safeguard required.
Follow the pattern Margalit already uses — a broad shift, then the industry-specific argument, then named examples.
Portfolio companies named in their posts can anchor the piece as illustrations, but verify each company's claims with that company before use; a partner tag indicates a working relationship, not an endorsement or a paid arrangement.
Quote their public statements, including the warning attributed to OpenAI, Anthropic, Microsoft, AWS, and other organizations, as Margalit's statement rather than as independently verified fact.
Part three is a small introduction track: two or three meetings with relevant portfolio or partner companies, one of them in the German network described in the Frankfurt post, using the ecosystem-to-ecosystem model named there. The deliverable is a shortlist and follow-up meetings, not an audience guarantee.
Before committing, ask for three things and make the answers part of the decision: written partnership or sponsorship terms, audience demographics or a survey covering the last twelve months, and any record of outcomes from comparable sessions. If none exists, keep the engagement editorial — a keynote or co-authored explainer — and drop the introduction track.
Measure what this plan can support: whether invited attendees match the target account list, how many follow-up meetings are booked within 30 days, and whether the co-authored piece is read and cited by people inside the target industries. Stop the engagement if the first session produces no qualified follow-ups and no second-session demand, rather than buying a second round on the strength of the first.
Choose Howie Beigelman when the campaign centers on US market entry and regional industrial policy rather than regulated-industry AI.
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Erel N.
Margalit’s posts make a direct case for Ohio as a soft-landing state for Israeli spacetech, defense-tech, and deep-tech companies: Wright-Patterson Air Force Base and AFRL in Dayton, Starlab and Ohio State’s VISTA Space Park in Columbus, Blue Abyss near NASA Glenn, and Ohio’s aerospace supply base.
A vendor selling AI into defense, aerospace, advanced manufacturing, or logistics can use that material to frame a state-level expansion session, an Ohio-Israel trade angle, or a manufacturing-soft-landing briefing.
This is a better fit than Margalit when the buyer wants a US regional entry story with named facilities and a state incentive narrative, not a vertical-AI-for-regulated-industries keynote.
You give up the regulated-industry AI thesis and the cross-border venture mechanism.
The two reviewed Beigelman posts, dated 9 and 20 July 2026, focus on Ohio economic development and Israeli spacetech and defense-tech expansion.
They offer no financial-services, insurance, or healthcare AI compliance content, portfolio-company partnership process, or speaking format.
A banking or insurance AI campaign would need to supply its own regulatory content, and the engagement would lean more on regional economic development than on vertical AI.
Ask for audience demographics, sponsorship terms, and performance data before committing to a campaign.
Choose Tov Brog when the buyer targets defense AI procurement and needs a route into US Department of Defense programs.
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The two posts analyze the IDF’s new AI Division under C4I and Cyber Defense as a validation gateway for Israeli defense firms selling to the US DoD, and frame contested logistics and heavy-lift autonomous resupply as the underfunded priority at UVID 2025.
A defense-tech vendor, dual-use drone maker, or AI company seeking SBIR or STTR, OTA, FMS, or service innovation cell pathways has a sharper topic match here than with Margalit’s commercial regulated-industry AI focus.
This is a better fit for a defense procurement briefing, a UVID-floor walkthrough, or a co-authored explainer on combat-proven AI validation.
You trade commercial regulated-industry reach for defense-market specificity.
Brog’s posts, dated 24 November and 21 December 2025, concentrate on Israeli defense exports, DoD procurement, and dual-use logistics.
They offer no banking, insurance, or healthcare vertical AI, venture-portfolio platform, or public partnership program.
A campaign targeting regulated commercial buyers would need to build that content, and Brog’s public posts are narrower than Margalit’s cross-industry vertical AI examples.
Choose Eric Eskey when the campaign is about cybersecurity buying decisions or the Israeli tech ecosystem rather than vertical AI in regulated industries.
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One post covers an Arizona Technology Council cybersecurity summit and identifies a buyer-side problem: five vendors each announcing a pivot, leaving the buyer with no honest way to discriminate.
That is useful for a cybersecurity vendor or VC seeking a thought-leadership piece on vendor diligence, platform pivots, or agentic-AI risk.
The other post summarizes a panel on Israeli resilience and scale-up lessons with Fiverr, CyberArk, Lightspeed, and Two Lanterns Venture Capital, supporting an ecosystem or investment-narrative session.
This is a better fit when the buyer wants conference-based analysis and a candid operator view of security buying, not a regulated-industry AI keynote.
You lose the vertical-AI-for-regulated-industries frame and the specific cross-border partnership practice.
The reviewed Eskey posts are dated 17 September 2024 and 23 May 2026: the older one covers Israeli tech resilience, and the newer one cybersecurity vendor pivots.
The cybersecurity summit post addresses a general security audience rather than banking, insurance, or healthcare regulators.
If the campaign needs named regulated-industry AI deployments and a German-US-Israel partnership mechanism, ask for evidence of both before proceeding.
Three posts on linkedin.com/in/erelmargalit are dated September 2026.
They cover AI-enabled cyber risk and vertical AI, a Frankfurt partner visit to JVP and Margalit Startup City New York, and a Rosh Hashanah reflection referring to an NBC News conversation with Keir Simmons.
Short comparison posts from three other creators place Margalit alongside similar voices, with two posts per person in that comparison.
Coverage is deliberately narrow.
No video, audio, or transcript appears here; no post-by-post archive older than September 2026 is available; no audience demographics, geography, seniority, or employer-type data are published behind the observed LinkedIn follower count of 52,331 on 8 October 2026; and no sponsorship, partnership, or rate terms are published.
Claims attributed inside the posts to other organizations or a named journalist are reported as those parties' statements, not as independently verified fact, and portfolio relationships named in the posts are treated as Margalit's account of a working network rather than confirmation of investment terms.
Readers looking for signature books, shows, or earlier career history should treat that as an open question — the posts here do not address it.
