Discover top generative AI companies in the United States that build cutting-edge large language models, multimedia generation tools, and enterprise AI platforms to power innovation, automate workflows, and unlock new revenue streams.

We Have Listed the Best Generative AI Startups in United States For You

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Generative AI
Other
$25,000 - $50,000
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United States × Generative AI × Other × $25,000 - $50,000 × Clear Filters

  • Flyaps

    Verified Verified by the DesignRush team for authenticity and credibility. Award Winner Recipient of a Best Design Award for outstanding work.

    AI & Cloud Software Engineering

    Offering 13+ years of AI expertise and pre-built AI modules, Flyaps promises a PoC within 3 months. Its services span generative AI, predictive analytics, computer vision, intelligent automation, and MLOps across telecom, HR, media, logistics, urban planning, and retail industries...

    Top Services:

    • Software Development
    • AI Development
    • IT Services
    • DevOps Consulting
    • Cloud Consulting
    • Show more
    Location
    New York City, New York
    Number of Employees
    Under 49
    Average Hourly Rate
    $49/hr
    Minimal Budget
    $25,000 - $50,000
    Portfolios Count
    9 Projects Listed

    Flyaps Services

    • Software Development
    • AI Development
    • IT Services
    • DevOps Consulting
    • Cloud Consulting
    • Web Development
    • Staff Augmentation
    • Web Design
    • Business Consulting
    • IoT
    Data sourced from the agency's DesignRush profile, its website, and other relevant accounts
    • NetSpark IP & Telecom
    • MyersBiz Net
    • Yaana
    • Airbyte
    • Nextgen Clearing
    • JOIN
    • Relocate
    • Shoelace Wireless
    Data sourced from the agency's DesignRush profile

    Flyaps Reviews & Testimonials

    • Andrew Stetsenko
      Andrew Stetsenko Founder at GlossaryTech, backed by Dice
      5.0 ★

      Python Django Review from Andrew Stetsenko

      We partnered with Flyaps to build the GlossaryTech Chrome Extension from scratch, including the backend for tech terminology analysis. The goal was to help recruiters, sales professionals, and other non-technical specialists in IT quickly understand the technical terms they encounter every day. The first release shipped back in 2017, long before today's AI tools were available off the shelf. Flyaps built a custom tokenization layer on top of NLTK library to resolve the ambiguity problem - distinguishing "Go" the language from "go to the shop," or "Swift" the framework from the adjective, while also correctly recognizing multi-token terms like "Ruby on Rails" or "Amazon Web Services". It was a pragmatic, precise solution that made the extension genuinely usable from day one. The outcomes have validated that early bet. GlossaryTech now holds "Featured" status in the Chrome Web Store, has passed 25,000 downloads, and consistently serves 10,000+ weekly active users and 2,000+ daily active users. For a niche professional tool, that level of organic, sustained engagement is rare - and it traces directly back to the technical foundation Flyaps put in place. Beyond the engineering, what stood out was how Flyaps engaged with the product itself. They contributed to architecture decisions, flagged edge cases early, and treated scope conversations with honesty rather than upsell. Communication was straightforward throughout, deadlines were met, and the codebase has held up well as we've extended the product over time. I'd recommend Flyaps to anyone looking for a partner who combines solid engineering with genuine product thinking. They've been central to GlossaryTech's success and continue to be a team we trust.

    • Dariia Ryzhova
      Dariia Ryzhova Product Manager at Nextgen
      4.7 ★

      Software Development Review from Dariia Ryzhova

      Our collaboration with Flyaps has lasted for several major projects, of which I personally worked with them on two. I am very satisfied with the level of expertise (both technical and domain), the involvement and responsibility of the teams, and the quality of delivery. We successfully brought 2 major products to life together. Flyaps teams have diverse specializations, so I had the opportunity to attract consultants from different fields: software developers, including high-level architects, DevOps, QA, and business analysts. The teams have a modern technology stack and are experienced in Agile development. This allowed for smooth integration with internal teams and processes. It is also important to note that Flyaps provides technical consulting on demand, and this was very valuable service as well. Overall, I can recommend working with Flyaps as a reliable and high-quality partner.

    • ТОВ ХОТНАЙТС
      ТОВ ХОТНАЙТС Review from Google
      5.0 ★

      ТОВ ХОТНАЙТС's Review Sourced from Google

      Flyaps delivered outstanding results for our e-commerce store! They built a visually stunning and high-performing website that perfectly captures our brand. Since launching, our site speed has improved by over 60%, and we've seen a noticeable increase in our conversion rate. Their team's technical expertise is top-notch, and the new admin panel they created has made managing our operations so much easier. I am happy to recommend this team of professionals.

    Reviews verified by DesignRush and sourced from the agency's profile View All Reviews
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    4.4 4.4 (2)
    5.0 5.0 (9)

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Generative AI Companies in the United States FAQs

Can generative AI companies in the United States handle enterprise-level projects?

Yes, many generative AI companies in the United States are fully equipped to handle enterprise-level projects. They work with extensive data systems and flexible cloud solutions, all while adhering to important compliance standards like SOC 2, HIPAA, or GDPR, which makes them a great fit for industries like finance, healthcare, and retail.

Generative AI firms often combine AI model development, data engineering, and system integration to deliver secure, production-ready solutions. Their enterprise work typically includes custom LLM training, workflow automation, predictive analytics, and AI-powered customer support systems tailored to complex business needs.

What factors affect the cost of generative AI solutions?

The cost of generative AI solutions depends on project complexity, data requirements, and model customization. Training or fine-tuning large models requires extensive computational resources, specialized talent, and time, all of which increase expenses.

Integration with existing systems, API usage, cloud infrastructure, and ongoing maintenance or support can also affect the cost of generative AI solutions. Projects that require strict compliance, real-time performance, or enterprise-grade scalability tend to cost more than off-the-shelf implementations.

How do generative AI startups in the United States measure success in AI projects?

Generative AI startups in the United States measure success through technical and business metrics. On the technical side, they measure how well the model works by tracking its accuracy, speed, quality of results, and user satisfaction. They often compare these results to earlier models or previous versions.

From a business perspective, they assess ROI, adoption rate, customer retention, and productivity gains generated by the AI solution. Success depends on whether the technology provides steady and useful benefits that support the client's goals.

How can I verify a United States generative AI company’s credentials or certifications?

To verify a United States generative AI company's credentials or certifications, check the following key factors:

  • Review if the company holds a valid SOC 2 Type II report, which confirms controls for security, availability, processing integrity, confidentiality, and privacy
  • Check for compliance standards like HIPAA (for US patient data) or ISO 27001 if the AI solution handles health or financial data
  • Ask for documentation showing certificate validity, auditor name, and audit date, rather than just a badge
  • Confirm there are clear procedures for data handling, including encryption, access control, and audit logs, which are often part of certified frameworks

What guarantees or service assurances do generative AI startups in the United States provide?

Generative AI startups in the United States typically offer service-level agreements (SLAs) that define uptime, performance metrics, and response times for support. These often include guarantees for data security, confidentiality, and compliance with standards like SOC 2 or ISO 27001.

Generative AI companies may also provide accuracy benchmarks, pilot phases, or refund policies tied to project milestones and deliverables. While startups are generally more flexible, they balance agility with formal assurances that protect both parties and ensure predictable performance outcomes.

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