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    AI Agents
    November 12, 2026
    27 min read

    AI Agents Near Me:How to Find an AI Agent Builder in New York

    A guide for New York owners from a builder in Los Angeles. It explains how Google ranks local results, what distance gives you, the New York rules and five checks. Checked November 12, 2026.

    The Manhattan skyline at night with the Empire State Building, and glowing human figures linked by a purple and teal network above the buildings
    3
    factors that Google names for local results: relevance, distance and prominence. Skill is not one of them
    Google Business Profile Help, checked November 12, 2026
    292M+
    policy-violating reviews that Google blocked or removed on Maps in 2025, by its own count
    Google blog, April 16, 2026
    17 to 1
    possible Local Law 144 issues that state auditors found in 32 companies, against the 1 that the city found
    New York State Comptroller audit, December 2, 2025
    $67.04
    mean hourly wage for computer and mathematical jobs in the New York metro area in May 2025
    U.S. Bureau of Labor Statistics, June 5, 2026

    Key Takeaways

    • Google ranks local results on relevance, distance and prominence. None of the three factors measures whether a company can build an agent that works on your data.
    • Distance helps in two parts of an agent project: discovery and launch. The build, the tests and most of the support happen in code and on calls.
    • By its own count, Google blocked or removed over 292 million policy-violating reviews on Maps in 2025. Read the text of the reviews, not the stars.
    • In New York, check four rules. Local Law 144 covers hiring tools and section 349-a covers algorithmic prices. The SHIELD Act covers private data, and Part 500 covers financial firms.
    • State auditors found at least 17 possible Local Law 144 issues in 32 companies, where the city found one. Plan for the law as written, not for past enforcement.
    • Frenchy Digital is in Los Angeles and has no office in New York. If you need a person in your office each week, choose a builder in New York.

    Three factors, and skill is not one

    When you type "ai agents near me" into Google from an office in Manhattan, Google does not rank the results by skill. Its help page for business owners names three factors: relevance, distance and prominence.

    Relevance is how well a business profile matches your search. Distance is how far each business is from you. Prominence is how well known the business is, and Google measures part of it with links and reviews.

    None of the three factors measures whether a company can build an agent that works on your data. The map shows you nearby profiles that many people know. That is useful, but it answers a different question.

    I am Chris Machetto. I run Frenchy Digital, and we build AI agents for clients. We are in Los Angeles, and we have no office in New York. So I have two interests in this guide: a commercial one and a geographic one.

    For that reason, I do three things here. I give a source for each fact. I show the arithmetic. I also tell you when a builder in New York is a better choice than us.

    This is the order. First, what you probably want when you search. Then how Google selects the names, what distance gives you and where to look in New York. The guide ends with five checks, the New York rules, the costs, a scenario and tasks for this week.

    Three things the search can mean

    The phrase "ai agents near me" holds at least three different requests. Each request has a different answer. Only one of them needs a builder near you, and even that one needs the builder for a short time.

    What you wantWhere to look firstDoes distance matter?
    A packaged agent that answers chats or callsThe software that you pay for now, then product pages that show a priceNo. You switch it on from a settings page
    A custom agent that reads and writes in your own systemsA builder that can show evidence for your taskA little, for the first workshop and the launch
    Free advice before you spend moneyA New York Small Business Development CenterYes. New York City has seven regional centers
    An agent that screens job candidatesA builder, plus a bias audit before you use the toolThe law is local. Local Law 144 applies in New York City

    I think that many owners who search want the first row, and they do not know it yet. The software that you pay for now possibly includes an agent. If the task is to answer the same questions each day, check that software first.

    If you are not sure that an agent is the right tool, read my guide to AI agents for business first. It compares the three routes to an agent, with list prices. It also explains when a chatbot is all that you need.

    If you want a finished agent from us, the AI agents page shows what we sell and the price. The rest of this guide is about the second row. That row is a custom agent, and the question is whether its builder must be near you.

    The third row is the cheapest step in this guide, and most owners skip it. The fourth row is the one with legal risk. I come back to both later.

    The idea that local means safe

    Most owners believe that a local builder is safer. You can visit the office. You can meet the people. If the work goes wrong, the company is a short train ride away.

    That belief is reasonable, because it is true for many services. A plumber, a dentist and an accountant all work better when they are near you. Each one must see the pipe, the tooth or the box of receipts.

    An agent project is different, because most of the work is not in a place. The agent lives in code, in a cloud account and inside the software that you use now. The builder reaches all three through a screen.

    Our own agent project is an example. The Beyond Points case study lists what we built. It is a web app on Cloudflare Pages, one Supabase project with 71 edge functions and one virtual server for a browser agent. Nothing on that list needs a desk in the same city as the client.

    Scientists have a name for the mistake that I want you to avoid. They call it the streetlight effect. People search where it is easy to look, not where the answer is.

    A map of nearby companies is easy to look at. Evidence of skill is harder to find, so most buyers look at the map. This guide is about the harder search.

    Accountability comes from documents, not from distance. A contract says who owns the code. A test set shows that the agent works. A written list says what the agent may do alone. You can enforce all three from any city.

    Therefore: do not use distance as a test of trust. Use distance only for the parts of the project that need a room. The next sections show which parts those are.

    How Google selects the names you see

    Google publishes the basics on its page Tips to improve your local ranking on Google. The page is for business owners, but a buyer can read it too. It tells you what the map rewards.

    Its summary sentence is short: "Local results are mainly based on relevance, distance, and popularity." The headings of that page call the third factor prominence. I use the word prominence in this guide.

    Two sentences on that page are important for a buyer. The first is this: "There's no way to request or pay for a better local ranking on Google." That sentence is about the ranking. Paid ads are a different matter, so read the label on each result.

    The second sentence is about reviews: "More reviews and positive ratings can help your business's local ranking." So reviews move a company up the list. That makes the quality of the reviews important to you.

    Google does not publish the weight of each factor. The page says that Google keeps the details of the algorithm confidential, to keep the ranking fair. Some marketing firms publish their own estimates of the weights. I do not use those numbers, because they are guesses about a secret.

    Reviews: how many does Google stop?

    Google gave its own numbers for 2025 in a post on the Google blog on April 16, 2026. Its systems and analysts blocked or removed over 292 million policy-violating reviews. In the same year, Google published more than 1 billion helpful reviews. It also removed over 13 million fake Business Profiles.

    Do the division. 292 million divided by 1 billion is about 0.29. Thus for each 10 reviews that Google published, it stopped about 3. Both numbers are minimums, so the ratio is approximate.

    These are figures from Google about its own systems. I found no independent check of them. They tell you that the problem is large, not that the map is clean.

    Fake reviews are also illegal. On August 14, 2024, the FTC announced its final rule on fake reviews and testimonials. It bans fake reviews, and the FTC names reviews that AI writes as one example. It also bans payment for a positive or negative review, and insider reviews with no disclosure.

    The rule lets the FTC ask for civil penalties against companies that break it knowingly. But a rule does not remove each fake review from the map. So treat the stars as a weak signal, and read the text.

    A review that names an agent, a system and a result is worth more than twenty short reviews with five stars and no detail. Prominence rewards companies that many people know already. In a new field, a good builder can be small and new, and thus low on the list.

    Therefore: use the map to make a list of names. Do not use the order of the list as a ranking of skill. A company at position one is near you and well known. That is all that the position tells you.

    What distance gives you, and what it does not

    Distance is useful for some parts of an agent project. It is not useful for others. This is how I divide the work, from my own projects as a builder.

    Part of the projectDoes distance help?The reason
    Discovery: the builder watches the front desk, the phones and the paper formsYesYou see steps that no person wrote down. A video call shows less of the room
    Interviews with the staff who do the taskA littleVideo calls work. Some people explain more in person
    The buildNoThe work is in code, in a cloud account and in your software
    Tests against your past examplesNoThe test uses your data and a score, not a room
    Launch and staff trainingA littleOne session in person can help a team that is not technical
    Support after launchNo, but the time zone doesA fast answer is more important than a short distance
    A dispute about the contractSomewhatThe contract decides the law and the court. Read that clause

    The first row is the important one. In discovery, the builder learns how the task really works. The front desk possibly has a note on the screen with the real rules. Someone keeps the exceptions in a notebook.

    A builder who never sees these things writes an agent for a process that does not exist. The agent then fails on the first exception, and your staff stop using it.

    A remote builder can still see most of this. Ask for a screen share of the task. Record a sample of calls, if your policy and the law permit it. Send photos of the paper forms. These methods are slower than a visit, but they work for most tasks.

    The time zone needs arithmetic. New York is three hours ahead of Los Angeles. Suppose that both teams work from 9:00 to 18:00 in their own time. They overlap from 12:00 to 18:00 Eastern, which is six hours.

    Six of your nine hours is two thirds of your day. Your morning, from 9:00 to 12:00, has no overlap. If your agent fails at 9:30 on a Monday, a team in Los Angeles is not at work yet.

    That is a real cost of a remote builder, and it applies to us. Put the response time for support in the contract, in Eastern hours. Ask what happens to an urgent problem before noon.

    Therefore: if you want a local builder, want one for discovery and launch, not for the build. If you select a remote builder, ask how they will see your process. Also ask what they do when your morning has a problem.

    Where to look in New York

    These are the places that I would use, in this order. Each one gives you names. None of them gives you proof, so the checks in the next section still apply.

    1. 1.The map.: Search for AI agents near me, AI agent developer and AI automation agency. Write down the names that appear in more than one search.
    2. 2.Directories of model companies.: Some model companies list partners that build on their models. A listing shows that a company joined a program. It does not show that it built an agent like yours.
    3. 3.Your software vendors.: Ask the vendor of your CRM, help desk or practice software for builders that already use its API. Those builders know the limits of the system that your agent must use.
    4. 4.Owners in your industry.: Ask two or three owners of similar businesses who built their agent. A referral comes with a real result that you can ask about.
    5. 5.Free advice first.: A Small Business Development Center gives advice at no cost before you spend money. It does not build agents.

    For the second item, I explain what a directory listing proves, and what it does not, in how to choose an AI agents development company. That guide also gives six checks that take about one hour for each company.

    We also published a ranked list of AI agent developers in New York in April 2026. Use it the same way as the map. It gives you names to check, not a decision.

    The fifth item needs more detail, because it costs nothing. The New York Small Business Development Center network gives "no-cost, confidential one-on-one business advisement" to small business owners. It has 20 regional centers and over 70 satellite locations in the state.

    Seven of the regional centers are in New York City. There is one each in the Bronx, Brooklyn and Staten Island, and two each in Manhattan and Queens. The list of regional centers names the host of each one, such as Lehman College, Baruch College, Pace University and York College.

    The U.S. Small Business Administration gives most of the money for the program, with a match from sources that are not federal. An advisor will not build your agent. An advisor can help you decide if the agent is worth its cost, before a builder tries to sell it to you.

    Five checks for a builder near you

    When you have five names, do these checks. I estimate that they take about an hour for each company. Two of them are specific to New York.

    Check 1: Is the company registered where it says?

    A company can say that it is a New York company. In that case, look for it in the Corporation and Business Entity Database of the New York Department of State. The database includes corporations, limited liability companies and partnerships.

    The Department relies on information that others give it, so it cannot guarantee that the data is complete or accurate. A missing record is a question to ask, not proof of fraud. A company from another state can also be a good builder. It must simply tell you where it is.

    Check 2: Is the address an office?

    Put the address into a map and look at the street. A mail service or a shared desk is not a problem by itself. It is a problem only if the company says that its team works there. Ask where the people who will build your agent work, and in which time zone.

    Check 3: Do the reviews describe an agent?

    Read the ten most recent reviews. Look for the name of a system, a task and a result. Some agencies started as web or marketing firms, and their reviews describe that older work. That is not a fault, but it is not evidence of agent work.

    Check 4: Can they show one agent and its limits?

    Ask for one agent that the company built, the task that it does and what it may not do. A good answer includes a limit, such as a confirmation step before a payment. Our Beyond Points case study shows this kind of limit. Transfers, bookings, payments and cancellations wait until the user confirms them.

    Check 5: Do they know which New York rules apply?

    Ask which New York rules apply to your agent, and why. The next section lists the main ones. A good builder answers for your task, and then tells you to confirm with your lawyer. A builder who says that no rule applies, before they know the task, did not think about it.

    I give more warning signs, with the reason for each one, in the warning signs when you hire an AI agent developer. Those signs apply to builders in every city.

    New York rules that change the build

    I am not a lawyer, and this is not legal advice. This list gives your lawyer a short start. Each rule applies to some agents and not to others.

    • New York City, Local Law 144.: The law prohibits employers and employment agencies from using an automated employment decision tool without three conditions. The tool had a bias audit within one year of its use. Information about the audit is public. Candidates or employees received certain notices. The city started to enforce the law on July 5, 2023.
    • New York State, algorithmic prices.: General Business Law section 349-a applies when a business sets a price with an algorithm that uses the personal data of a New York consumer. The business must show this text: "THIS PRICE WAS SET BY AN ALGORITHM USING YOUR PERSONAL DATA". The civil penalty is up to $1,000 for each violation. The law is in effect now.
    • New York State, the SHIELD Act.: Any person or business that maintains private information must adopt administrative, technical and physical safeguards. An agent that reads customer records adds one more system that those safeguards must cover. One safeguard on the list is an employee who coordinates the security program.
    • Financial firms that NYDFS regulates.: An industry letter of October 16, 2024 adds no new requirements. It explains how the existing cybersecurity regulation, Part 500, applies to AI risks. An agent builder with access to your systems is probably a third-party service provider under that regulation. From November 2025, the regulation requires multi-factor authentication for all authorized users, including service providers.
    • New York State, the RAISE Act.: The law takes effect on January 1, 2027. It applies to a developer that trained a frontier model with more than 10^26 operations of computing power. Large frontier developers have annual revenue over $500 million, and they must publish safety protocols. A business that builds an agent on such a model is probably not a frontier developer.

    The sources are the city page on Local Law 144, the text of section 349-a and the Duane Morris alert on the pricing law. The others are the SHIELD Act page of the Attorney General, the NYDFS industry letter and the Wiley alert on the RAISE Act.

    This table turns the list into questions for each builder. Use it in the first call.

    RuleWhen it applies to an agentWhat to ask the builder
    Local Law 144 (New York City)The agent screens or ranks candidates or employees for an employer in the cityWho does the bias audit, and who sends the notices?
    General Business Law 349-a (New York State)The agent shows a price that an algorithm set with the personal data of the customerWhere does the required disclosure appear?
    SHIELD Act (New York State)The agent reads or stores private informationWhich safeguards cover the agent, and who coordinates them?
    Part 500 (NYDFS)Your company is a financial firm that NYDFS regulatesHow do you meet our rules for service providers and multi-factor authentication?
    RAISE Act (New York State)Mostly the companies that train frontier models, from January 1, 2027Does the model provider publish its safety protocols?

    One more fact about Local Law 144 is important. On December 2, 2025, the New York State Comptroller published an audit of how the city enforces it. The audit covered July 2023 through June 2025.

    The city surveyed the websites and bias audits of 32 companies and found one issue of non-compliance. The auditors reviewed the same companies. They found at least 17 instances of potential non-compliance. The city received only two complaints about these tools in the period.

    The press release on the audit adds a detail. Auditors made 12 test calls to 311 to file a complaint, and only three went to the right agency. The audit made 13 recommendations.

    Do not read that result as permission. The audit page says that the city can impose civil penalties between $500 and $1,500 per day. I expect the city to act on the recommendations. Plan for the law as written, not for the enforcement of the past.

    A builder near you does not know these rules better by default. A builder in Brooklyn and a builder in Los Angeles read the same law. Ask each one which rule applies to your task, and then check the answer.

    Therefore: before you hire anyone, write one sentence for each rule. Write applies or does not apply, and the reason. Give the five sentences to your lawyer and to each builder.

    What a local team costs, with arithmetic

    Wages in New York are higher than the national average, and a local team pays them. The Bureau of Labor Statistics published its May 2025 wage figures for the New York area on June 5, 2026.

    The mean hourly wage for all jobs in the New York metro area was $41.50. The national mean was $33.54. Divide one by the other, and New York is about 24% higher.

    For computer and mathematical jobs, the difference is smaller. The New York mean was $67.04 an hour, against $57.73 for the nation. That is about 16% higher.

    Now convert the hourly rate to a year. $67.04 times 2,080 hours is about $139,400 in wages. That is before benefits, taxes and equipment. It is also before the months that a new hire needs to learn your business.

    Compare our price, because it is the only price that I can confirm. An agent costs $5,000 and the setup fee is $5,000, so the start is $10,000. After launch, the price is $2,500 a month. Year one costs $40,000, and each later year costs $30,000. You pay model usage directly to the provider.

    $139,400 divided by $40,000 is about 3.5. The comparison is not fair, and I want to say why. An employee does many tasks for many years. Our price covers one agent. A hire is better if you want a person who builds many agents over time.

    The comparison also hides what you lose with a remote builder. You get fewer hours in the room. You get a later start each morning. For some owners, those costs are more important than the price, and those owners must hire locally.

    I do not give a market average for agent projects in New York. I found no published average with a method. Ask each builder for a fixed price for your task, in writing.

    How many New York businesses use AI at all? Resume Now, a company that sells resume software, analyzed Census survey data from the first half of 2026. CPA Practice Advisor reported that New York was at 16.1%, against a baseline of 18.9% for the states in the study.

    If that number is right, about five in six New York businesses did not report AI use. 100% minus 16.1% is 83.9%, and five sixths is about 83.3%. You are not late.

    Therefore: compare a local builder, a remote builder and a hire on the same three numbers. Use the cost of year one, the cost of three years and the hours of overlap with your team each day.

    A worked scenario in Brooklyn

    This is a scenario, not a client. The inputs are assumptions, so that you can replace them with your own numbers. The wage rate is the New York mean from the section above.

    Consider a physical therapy practice in Brooklyn with six staff. It gets about 600 calls and messages a month. Assume that half of them are about appointments: a new booking, a change or a cancellation. Assume also that each one takes a person about four minutes.

    • Appointment requests: 600 times 50% is 300 a month.
    • Staff time: 300 times 4 minutes is 1,200 minutes, which is 20 hours a month.
    • Wage cost of that time: 20 hours times $41.50 is $830 a month.
    • A custom agent at our price: $2,500 a month after launch, which is about three times $830.

    On cost alone, I tell this owner not to hire us for this task. The practice software possibly has an online booking feature or a packaged agent. That feature, or a packaged scheduling agent, is the better first step.

    Two facts can change my answer. The first is calls that come in after hours and go to a competitor. I cannot measure those from here, and the owner cannot measure them without a test.

    The second fact is a rule that the booking software cannot express. An example is a rule about which therapist can see which kind of patient. If the front desk applies such rules each day, a packaged tool will make errors that a custom agent can avoid.

    Distance changes the plan in one place: discovery. A builder in Brooklyn can sit at the front desk for a morning. We cannot do that from Los Angeles without a trip.

    So we would ask for three things. We would ask for a screen share of the schedule and a list of the rules that the front desk uses. We would also ask for a sample of messages, with the patient details removed.

    This scenario also includes health data. Ask any builder, near or far, to sign a business associate agreement before they see a patient record. Frenchy Digital signs business associate agreements with healthcare clients.

    Warning signs in a local search

    These signs tell me to remove a name from the list. Most of them are specific to a local search.

    • A New York office that is only a mail address, when the company says that its team works there.
    • A claim to be a New York company with no record in the state database, and no explanation.
    • Reviews that are all five stars, from the same few weeks, with no task or system in the text.
    • A profile in a different category, such as a marketing agency, that now sells agents with no example.
    • A claim that a hiring tool complies with Local Law 144, with no bias audit to show you.
    • A percentage for ROI, accuracy or savings with no method. This applies to every website, ours included.
    • Security badges without the report behind them. Ask for the report, not the logo.
    • A price before the builder asks what the agent must read and write.

    The sixth point applies to us. If a number on one of our pages has no method, ask us for it. Do not use the number until we give you the method.

    On the seventh point, this is our position. Frenchy Digital holds no SOC 2, ISO 27001 or HITRUST attestation. If your procurement requires one, a builder that has it will pass, and we will not.

    Where we fit, disclosed

    This is the disclosed part. I wrote the guide, and my company sells what it describes. Read this section with that fact in mind.

    Frenchy Digital started to operate in 2016. We are in Los Angeles, and we have no office in New York. We serve clients in New York remotely.

    Our page for AI agent development in New York describes the service for New York companies. The price that I give in this guide is our price: $10,000 to start, then $2,500 a month after launch. Our custom agent page says that a build takes two to six weeks.

    Choose a builder in New York over us in four cases. You want a person in your office each week. The agent must work with hardware in your building. Your procurement requires a local vendor. Or it requires an attestation that we do not hold.

    Choose us if the agent lives in software and you want a fixed price. Do the same five checks on us as on everyone else. If a packaged agent fits your task, I will tell you that on the first call.

    Limitations

    This is what I did not verify, or decided not to use as evidence.

    • The Bureau of Labor Statistics table for software developers in the New York area did not load for me. I used the larger group of computer and mathematical jobs from the regional release. That group includes many jobs that are not software work.
    • Google does not publish the weight of each local factor. I did not use the estimates of marketing firms, because they come from correlation, not from Google.
    • The 292 million figure comes from Google, about its own systems. I found no independent check of it.
    • The New York rate of AI use comes from an analysis by Resume Now, as CPA Practice Advisor reported it. I did not read the Census tables myself.
    • The penalty range for Local Law 144 comes from the audit page of the State Comptroller. The text of the law did not load for me in a form that I could read.
    • For the pricing law, I give no exact start date. The Duane Morris alert says that the Attorney General issued an alert on November 5, 2025, shortly before the effective date.
    • The RAISE Act summary comes from a law firm alert, not from the enrolled text.
    • The Brooklyn practice is a scenario with assumed inputs, not a client.
    • We are not in New York. I wrote about the local search as a builder from another city, and that is a bias.

    Three tasks for this week

    1. 1.Write the task in one sentence, and list each system that the agent must read or write. Without this list, no builder near or far can give you a real price.
    2. 2.Do the local search, and write down five names. Check each name in the state database, and read its ten most recent reviews for a real agent.
    3. 3.Book a no-cost session at the Small Business Development Center in your borough, or send the five checks to your five names. Ask each builder for its support hours in Eastern time.

    If you complete those tasks and want a second opinion, book a discovery call with us. If a builder in New York fits you better, I will say so.

    Start with the task, not the map.

    Which Builder Fits Your Task?

    Book a discovery call with Frenchy Digital, a senior-led, Black-owned agency in Los Angeles. Bring your task and the list of systems that it uses. If a packaged agent or a builder in New York fits better, we will tell you.

    Do You Want a Second Opinion on a Local Builder?

    Book a discovery call. Bring the task and a list of the systems that it uses. If a builder in New York fits you better, we will tell you.

    1517 S Bentley Ave Suite 204, Los Angeles CA 90025

    Frequently Asked Questions

    Sources & References

    1. 1Google Business Profile Help: Tips to improve your local ranking on Google (checked November 12, 2026)↗
    2. 2Google: New ways we're protecting businesses on Maps (April 16, 2026)↗
    3. 3Federal Trade Commission: final rule banning fake reviews and testimonials (August 14, 2024)↗
    4. 4NYC Department of Consumer and Worker Protection: automated employment decision tools (Local Law 144)↗
    5. 5New York State Comptroller: Enforcement of Local Law 144, automated employment decision tools (audit, December 2, 2025)↗
    6. 6New York State Comptroller: press release on the Local Law 144 audit (December 2, 2025)↗
    7. 7New York State Senate: General Business Law section 349-a, personalized algorithmic pricing↗
    8. 8Duane Morris: New York's Algorithmic Pricing Disclosure Act is in effect (March 12, 2026)↗
    9. 9New York Attorney General: SHIELD Act↗
    10. 10NYDFS: Cybersecurity risks arising from artificial intelligence and strategies to combat related risks (industry letter, October 16, 2024)↗
    11. 11Wiley: New York finalizes RAISE Act for frontier AI models, law takes effect January 1, 2027 (April 3, 2026)↗
    12. 12U.S. Bureau of Labor Statistics: Occupational employment and wages in New York-Newark-Jersey City, May 2025 (June 5, 2026)↗
    13. 13CPA Practice Advisor: Washington, D.C., Arizona and Colorado lead in reported business AI use (October 1, 2026)↗
    14. 14New York Department of State: Corporation and Business Entity Database↗
    15. 15New York Small Business Development Center: home page↗
    16. 16New York Small Business Development Center: regional centers↗
    17. 17New York Small Business Development Center: funding disclosures↗
    Chris Machetto - CEO & Founder, Frenchy Digital of Frenchy Digital

    Chris Machetto

    CEO & Founder of Frenchy Digital. Building apps and digital products since 2016 for startups and enterprises across LA, San Francisco, Paris, Geneva, and more globally.