Key takeaways

  • AI funding hit a record $100.4B in 2024, yet separating true AI-first firms from hype is harder than ever
  • Coresignal’s rich company data empowers precision targeting for investors, recruiters, and strategists
  • Identify firms by funding stage, industry, AI focus, or even job growth using detailed API filters
  • With Coresignal data, you can skip the established unicorns and discover hidden AI gems building real innovations across sectors

Global private AI companies raised $100.4 billion in funding in 2024, making it a record-setting year, according to CB Insights. The race is on to find the right partners, vendors, and investment opportunities in the rapidly expanding AI landscape. But identifying which companies are truly AI-first versus those merely using AI as a feature can be challenging.

That’s where Coresignal's data can make the difference, enabling you to segment the AI market with precision and speed.

So, how to find emerging AI companies?

What qualifies as an AI company?

The term AI company covers a broad spectrum of enterprises: from startups building foundation models to traditional enterprises adding generative features into their existing products. Most of them would fall under one of the three types:

  • Companies building AI
  • Companies commercializing AI
  • Companies that are using AI as a supporting feature

Overall, an AI company is an organization whose core products, services, or business models are fundamentally based on artificial intelligence technologies, including machine learning, deep learning, natural language processing, computer vision, or robotics. Here's a more detailed breakdown of the key categories of AI companies:

Category Focus Notable applications
Generative AI & foundation models Companies developing large language models (LLMs), image generators, and multimodal AI (text, image, audio) Chatbots, content creation, code assistants, marketing tools
AI agents & agentic AI Startups creating autonomous agents capable of planning, reasoning, and execution Research assistants, workflow automation, customer service
Vertical AI solutions Industry-specific AI for healthcare, finance, manufacturing, and retail Diagnostics, fraud detection, smart factories
AI infrastructure & dev tools Providers of platforms for training, deployment, and data pipelines Vector databases, synthetic data, MLOps platforms
Robotics & physical AI Hardware-integrated AI for logistics, mobility, and industrial automation Autonomous vehicles, humanoid robots, smart warehouses
Cybersecurity & digital trust AI tools to prevent breaches and secure models Threat detection, model integrity, AI governance

With such an extensive range of practical AI applications, how can you find the right companies that fit your preferences? 

Step-by-step guide on how to find AI companies with Coresignal

Coresignal provides over 3 billion records data about companies, employees, and jobs that can help identify AI companies for:

  • Investment and market research: Identify promising startups, assess industry trends, and benchmark performance across the AI sector.
  • Business development: Identify potential partners, clients, or acquisition targets for collaboration or integration opportunities.
  • Talent sourcing: Target companies for recruitment, understand where top AI talent is employed, and analyze hiring trends.
  • Competitive intelligence: Monitor competitors’ activities, product offerings, and positioning within the AI ecosystem.

These are just some of the use cases for the data, so try it out to check how well it fits your use case risk-free.

To start the AI company search, create an account:

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1. Go to the Multi-source company API playground

Once you enter the self-service portal, you can find a list of all the APIs we offer on the left. We provide three types of Company APIs, each tailored to different needs:

  • Base Company API: Provides essential data points, including firmographics. It's suited for quick enrichment and lightweight use cases but may contain duplicate entries.
  • Clean Company API: Delivers deduplicated and standardized company data, making it easy to work with and consistent across records.
  • Multi-source Company API: Offers premium, high-detail company profiles with over 500 data points aggregated from multiple distinct sources.
integrated data collections

I recommend using the Multi-source Company API because it contains the most comprehensive and detailed information. So, from the API list on the left, select Multi-source Company API. You’ll see a collection of pre-built query templates ready to use.

To get an understanding of how the tool works, try the Competitive Analysis template. It generates a query that retrieves a list of real estate companies in Dallas that have 5 employees. After selecting the template, click Submit request to receive a list of matching company IDs. Select one ID, resubmit the request, and you’ll gain access to the complete company profile.

data query template

Each search request costs credits – 2 credits for Multi-source API, and 1 credit for Base or Clean APIs.

2. Filter AI companies by sector

If you want to find companies that are in a specific vertical or industry, such as finance, you can use the following query:

{
  "query": {
    "bool": {
      "must": [
        {
          "bool": {
            "should": [
              { "match_phrase": { "categories_and_keywords": "AI" }},
              { "match_phrase": { "categories_and_keywords": "artificial intelligence" }},
              { "match_phrase": { "categories_and_keywords": "machine learning" }}
            ],
            "minimum_should_match": 1
          }
        },
        {
          "bool": {
            "should": [
              { "match_phrase": { "industry": "finance" }},
              { "match_phrase": { "industry": "financial services" }},
              { "match_phrase": { "industry": "fintech" }}
            ],
            "minimum_should_match": 1
          }
        }
      ]
    }
  }
}

It returns an AI company database with enterprises that work in this particular industry:

3. Filter AI companies by funding round and stage

Are you interested in finding AI startups or early-stage companies that are creating AI products? You could get a list of companies in the pre-seed funding stage with this query:

{
  "query": {
    "bool": {
      "must": [
        {
          "bool": {
            "should": [
              { "match_phrase": { "categories_and_keywords": "AI" }},
              { "match_phrase": { "categories_and_keywords": "artificial intelligence" }},
              { "match_phrase": { "categories_and_keywords": "machine learning" }}
            ],
            "minimum_should_match": 1
          }
        },
        {
          "match_phrase": {
            "last_funding_round_name": "pre-seed"
          }
        }
      ]
    }
  }
}

It returns companies that work with AI and have had pre-seed funding, such as no-code AI platform SQOR Technologies:

4. Filter AI services companies using specific keywords

If you're interested in finding generative AI companies that develop chatbots or other specific type of product, simply paste the request below. I've also included additional filter (headquarters) to narrow down the search.

{
  "query": {
    "bool": {
      "must": [
        {
          "match_phrase": {
            "hq_city": "New York"
          }
        },
        {
          "bool": {
            "should": [
              { "match_phrase": { "categories_and_keywords": "chatbot" }},
              { "match_phrase": { "categories_and_keywords": "conversational AI" }},
              { "match_phrase": { "categories_and_keywords": "virtual assistant" }},
              { "match_phrase": { "categories_and_keywords": "AI assistant" }}
            ],
            "minimum_should_match": 1
          }
        }
      ]
    }
  }
}

This query returns a list of companies that have their headquarters in New York and create conversational AI tools. One sample record fitting this request is Meera AI:

Of course, each of these requests can be narrowed down even further – filter by any parameter you feel fit.

How to find AI companies?

AI adoption is accelerating. According to McKinsey research, in 2024, 78% of organizations reported using AI in at least one function. That means the market is both crowded and fast-moving. Getting data about AI companies fast gives you the visibility and control needed to discover the right AI partners or prospects at scale

With Coresignal's data, you can:

  • Filter companies by funding round, industry, AI keywords, and headcount growth
  • Identify early-stage innovators vs. late-stage commercializers
  • Segment vendors by use case 
  • Monitor traction through job postings and employee growth

Using these tools, you can explore beyond well-known unicorns and uncover emerging AI-first startups that align with your technical or product goals.

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How can I find early-stage or pre-seed AI startups?

Coresignal's platform includes coverage of AI companies across all stages, including early-stage and pre-seed startups. You can use filters such as funding stage, founding year, or number of employees to narrow down emerging companies. Additionally, using investor-related filters (e.g. known early-stage VCs) can help surface startups that have recently raised initial funding.

What criteria should be used to define an “AI company”?

An AI company is typically defined as an organization whose core products, services, or business model rely on artificial intelligence technologies. This includes areas like machine learning, deep learning, natural language processing, computer vision, and robotics. To ensure relevance, you can use indicators such as AI-related keywords in product descriptions, tech stack signals, or declared focus areas in company profiles.

How often is the data on AI companies updated?

The data is updated on an ongoing basis, with many sources refreshed every 6 hours. High-priority signals like funding rounds, headcount changes, or acquisitions are monitored continuously. This ensures that you have access to the most current and accurate information about company activity, growth, and status.

Why is a self-service tool better for finding companies than company lists or databases?

Coresignal's self-service tool offers dynamic filtering, real-time data access, and the flexibility to run custom queries. It allows you to:

  • Tailor search criteria to your exact use case
  • Combine multiple filters (e.g. funding, technology, location)
  • Explore up-to-date insights without relying on third parties
  • Save and reuse search templates for recurring needs

This results in a faster, more precise, and scalable way to discover and analyze AI companies.