10 AI Stocks With Limited Wall Street Coverage

Artificial intelligence is driving some of the most transformative shifts in global markets, yet many of the most promising players remain under the radar of Wall Street analysts.

While mega-cap names like Nvidia and Microsoft dominate headlines, a new wave of overlooked AI stocks is quietly building strong fundamentals, securing partnerships, and attracting increasing international interest.

For investors seeking early exposure to high-growth potential, these undercovered companies could offer a compelling opportunity.

Some of these stocks, like BigBear.ai, SoundHound, etc. already receive a fair amount of analyst coverage, but there are likely some stocks on this list that you might not have considered before.

Here are 10 of the top AI stocks with limited Wall Street coverage:

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Here are 3 of the stocks that analysts think might be the most undervalued today:

Guardforce AI Co., Limited (GFAI)

Guardforce AI Holdings is one of the more obscure players in the AI security and robotics space, positioning itself at the intersection of physical security, robotics, and intelligent automation. The company leverages AI to transform traditional security solutions into more data-driven services, including AI-enabled surveillance and robot-as-a-service deployments in hospitality, airports, and commercial properties.

Despite its clear branding as an “AI-first” company, Guardforce remains overlooked by most of Wall Street, with minimal analyst coverage and limited institutional ownership. That lack of attention leaves its valuation and long-term strategy underappreciated relative to better-known AI names.

While larger AI companies are chasing cloud, chips, or LLM models, Guardforce is embedding AI into practical, real-world applications of robotics and security automation by focusing on emerging markets and niche verticals.

These use cases, though less headline-grabbing, may prove more defensible in the long run, where operational efficiency and safety matter more than hype. For investors, this combination of tangible AI utility and thin coverage creates a setup where new contracts or proof of scaling could generate disproportionate upside surprises.

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Rekor Systems (REKR)

Rekor Systems brings AI into one of the most underappreciated but high-impact domains: transportation infrastructure. Its platform applies machine learning and computer vision to roadway data, enabling governments and municipalities to improve traffic management, tolling, law enforcement, and safety outcomes.

By converting raw video and sensor feeds into actionable intelligence, Rekor is essentially digitizing roadways in the same way AI has transformed digital platforms. Yet despite its ambitious vision and recurring government contracts, Rekor flies almost entirely under the Wall Street radar, with only light coverage from small research shops.

The company represents the kind of vertical AI play that has enormous potential but little visibility. While investors crowd into megacap chipmakers riding AI hype, few are paying attention to how AI is being applied to physical infrastructure, a space with long-term government spending tailwinds. Rekor’s niche focus on roadway intelligence positions it in a market with high barriers to entry and sticky customers, yet its small-cap status means it is overlooked in most AI screeners.

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Innodata (INOD)

Innodata is perhaps one of the most overlooked infrastructure enablers of the AI boom. While the headlines revolve around NVIDIA’s GPUs or OpenAI’s models, none of that would be possible without curated, high-quality training data, and that is where Innodata excels.

The company specializes in data engineering, labeling, and annotation for machine learning systems, providing the essential fuel for AI model development. Its customer list includes some of the world’s largest tech companies, yet its market capitalization remains modest, and Wall Street coverage is extremely thin compared with its importance in the AI value chain.

The demand for structured, reliable training data is only accelerating as generative AI and large language models scale, giving Innodata a secular growth runway. Even though the stock has ran up recently to $70/share, it’s likely the stock can continue to climb, and analysts might increase their price target for the company.

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Disclaimer:

Please note that the articles on TIKR are not intended to serve as investment or financial advice from TIKR or our content team, nor are they recommendations to buy or sell any stocks. We create our content based on TIKR Terminal’s investment data and analysts’ estimates. Our analysis might not include recent company news or important updates. TIKR has no position in any stocks mentioned. Thank you for reading, and happy investing!