Services · Website development · AI platform websites

Websites for New York AI platforms selling to banks, law firms and publishers.

Codeeo offers AI platform website development New York companies use when their buyers sit in regulated, skeptical industries: banks and asset managers in Midtown and the Financial District, law firms, insurers, publishers and agencies around Flatiron. We build sector pages written in each buyer's language, a third party risk pack for security teams, disclosure pages for hiring and decision tools, and an editorial hub that makes your expertise visible, all on a CMS your team controls.

New York buyers rarely sign on the strength of a demo alone. Their risk, compliance and legal teams read your site closely. We make sure what they find is specific, accurate and easy to keep current, because a page that was accurate at launch and stale six months later does more harm than no page at all.

Built for
AI software companies in fintech, legal tech, HR tech, media and health selling to New York City enterprises and institutions.
Typical timeline
Discovery settles the page list, who writes and approves each page, and how compliance review fits in; the delivery schedule is then written into the project plan.
What you own
All source code, the CMS and its content, the domain, hosting and analytics accounts, registered in your company's name.
Rated
4.7 / 5 from 23 Google reviews

200+ companies across the US and the UAEFrom a first store to a listed developer

Modon
Majid Al Futtaim
HP
Belkin
Dulsco Group
OneClickDrive
Hanayen
HMS
Clocksprings
Ghezlan

What the website includes

Pages that hold up under a New York compliance review.

New York has one of the deepest pools of AI buyers anywhere, and one of the most cautious. A bank's vendor management team will check how you protect data. A law firm's general counsel will ask how client confidentiality is handled. An HR leader in the city knows that automated hiring tools need a bias audit before use. A publisher wants to know whether its content will end up in your training set.

Your site has to answer those people before your sales team does. That means sector pages with real substance, security and data handling material that a reviewer can cite, specific disclosure pages where the law expects them, and an editorial program that shows your team knows the field. These are the components we usually start with for a New York AI platform. We reorder them once we understand your lead sectors and deal sizes.

Explain your project
  • Sector pages for finance, legal and media

    Distinct pages for each vertical you serve, written around the decisions those buyers make: model risk and audit trails for banks, privilege and confidentiality for law firms, rights and attribution for publishers. Each page links to the evidence a reviewer would want, rather than repeating the homepage pitch.

    Each sector sees a product built for its own constraints.

  • Third party risk pack

    Banks and insurers regulated by the New York Department of Financial Services must manage the cybersecurity of their service providers under 23 NYCRR Part 500. We build a gated area holding your security overview, policies summary, incident response outline and a request route for audit reports, so their reviews start with your documents.

    Financial buyers get what their vendor teams ask for, faster.

  • Hiring tool bias audit page

    If your platform screens or ranks candidates, New York City employers using it must have a bias audit and publish a summary under Local Law 144. Many rely on the vendor's documentation. We build a page for your audit summaries, the distribution date and data categories, so customers can point to it.

    Customers in the city can meet their posting duty with less friction.

  • Data security statement

    New York's SHIELD Act expects businesses holding New York residents' private information to maintain reasonable safeguards. We write a clear security page covering encryption, access control, hosting regions and breach response, kept in the CMS so your security lead can update it when controls change.

    A security story that matches your actual controls.

  • Editorial and research hub

    Long form articles, briefings, research notes and model evaluations with author pages, topic tagging and clean typography. New York buyers read, and a well organized hub turns your team's expertise into search traffic and into something a prospect forwards to colleagues.

    Thought leadership that people in the industry actually read.

  • Event and briefing pages

    The city's calendar is full of finance, legal tech and media events. We build templates for event appearances, roundtables and webinars, with registration forms that sync to your CRM and follow up content that publishes once the session ends.

    Every event produces leads and a page that keeps working.

  • Account focused landing pages

    For enterprise sales, we build a template that lets your team spin up a page for a named target account or segment, with relevant use cases, integrations and security notes. Pages stay out of search indexes and are tracked so reps see when a prospect engages.

    Sales gets tailored pages without waiting on design.

  • Status page and changelog

    A public changelog for model and feature releases, plus a link to service status. Buyers in regulated firms want to know when a model version changes, because their own documentation depends on it. We structure releases so they can subscribe and filter by product area.

    Customers learn about changes from you, not from surprises.

  • Analytics, attribution and consent

    Server side tagging, consent management that respects visitor choices, conversion tracking from first visit to signed pilot, and dashboards your marketing team can read. We set it up so analytics data does not leak to vendors you have not approved.

    Clear reporting without careless data sharing.

  • Accessible long form reading

    Research hubs and risk packs are text heavy, which makes accessibility easy to get wrong. We use proper heading order, readable line lengths, accessible tables for model evaluation results, keyboard friendly gated forms and PDF alternatives in HTML. Pages are tested against WCAG 2.2 AA, the standard most ADA website claims and enterprise procurement checklists point to.

    Dense content that every reader, and every procurement checklist, can work with.

Who this is for

Four New York AI companies we commonly build for.

New York AI companies sell to some of the most demanding buyers in the country, and the website needs to reflect who those buyers are. A legal AI vendor and an adtech startup may sit a few blocks apart, yet need almost opposite sites. These four cases cover most of the teams that come to us. Each changes the order of the build, how much sits behind a gate, and who on your side needs to approve copy before it goes live. If you sell into two of these sectors, we plan both routes from the first sitemap.

01

A fintech or regtech AI vendor selling to banks

Your prospects are in Midtown and the Financial District, and every deal passes through vendor risk management. We put the third party risk pack, the security statement and model governance pages at the center of the site, and build sector pages for lending, compliance and wealth teams that speak in their terms.

The first release usually prioritizes the risk pack and two sector pages.

02

A legal AI company selling to law firms

Partners want confidence that client data stays confidential and that outputs can be checked. We build pages on data isolation, citation and review workflows, and practice area use cases, plus an editorial hub where your lawyers on staff can publish analysis under their own names.

Author pages help your legal experts build visible credibility over time.

03

An HR tech platform with automated screening

Your New York City customers carry duties under Local Law 144, and they will ask what you provide. We build the bias audit page, candidate notice guidance for employers, and product pages that describe what the tool does and does not decide, so legal teams can sign off sooner.

We keep audit summaries dated and archived so earlier versions stay available when customers need them.

04

A media or adtech AI startup in Flatiron or Brooklyn

You sell to publishers and agencies who care about rights, attribution and brand safety. We build pages on how content is used, an opt out request route for publishers, case style use case pages without client names, and a fast self-serve signup path for smaller agencies.

Publisher opt out requests are logged in your CRM so nothing is handled by memory.

From first call to a live New York platform website

  1. 01Discovery on videoSessions with sales, product, security, legal and marketing to map buyers, compliance questions and the evidence each sector expects to find.
  2. 02Information architectureA sitemap built around sectors, risk material and the editorial hub, with gated and public content separated and approval owners named for each page.
  3. 03Design systemRestrained, readable layouts suited to long form content and dense technical detail, prototyped and reviewed with your team over video.
  4. 04Development and integrationsTemplates, gated areas, CRM sync, consent and server side analytics built on staging, with every page available for review as it is completed.
  5. 05Compliance read throughYour legal and security leads review risk, privacy and disclosure pages, while we test accessibility against WCAG 2.2 AA and verify consent behavior.
  6. 06Launch and handoverRedirect map from the old site, indexing checks, form and CRM tests, a recorded CMS session for your editors, and monitored fixes after launch.

Technology

What we build this with.

We usually build on Next.js with a headless CMS suited to editorial teams, or WordPress where your writers already use it. Gated areas use proper authentication, CRM routing runs through Salesforce, HubSpot or Dynamics 365, and hosting sits in US regions with documented access controls. Editors get preview links, scheduled publishing and role based approvals for regulated copy.

01Web

  • React
  • Next.js
  • TypeScript
  • Node.js
  • Laravel
  • WordPress

02Commerce

  • Shopify Plus
  • WooCommerce
  • BigCommerce
  • Headless storefronts

03Data and cloud

  • PostgreSQL
  • MySQL
  • MongoDB
  • AWS
  • Azure
  • Docker

04Marketing and tracking

  • GA4
  • Google Tag Manager
  • Search Console
  • Meta Pixel
  • Looker Studio

Questions New York AI companies ask about their website

With the questions your toughest buyer's reviewers will ask.

We begin by listing the sectors you sell into and the reviewers involved in each deal, then map pages to their questions. For a bank, that means the risk pack and security statement come first. For a media company, rights and content use pages lead. The homepage and visual design follow from that structure rather than the other way round, which keeps the build focused. It also shows early which pages need sign off from legal or security in New York, so those reviewers are booked into the plan rather than discovered at the end.

Tell us what the business needs. We will tell you what to build first.

Schedule a free consultation and get a written recommendation, with costs, before you commit to anything.

Get in touch

PROVEN RESULTS

4.7 / 5from 23 Google reviews