Penny Stocks AI Screener
Micro-Cap Filter
A browser-based penny stocks AI screener micro cap 2026 tool: drag the sliders to set a max share price and a minimum AI-exposure score, pick a market-cap band and sector, and the illustrative ticker table below filters live and sorts on any column. SOUN, BBAI, NBIS and others are real companies, but every number in the table is an illustrative snapshot.
By Jim Liu · Last updated May 2026
Important: educational tool, not financial advice
Every share price, market cap, momentum reading, and AI-exposure score on this page is illustrative data — a fixed snapshot as of 2026 used to demonstrate the filtering logic. It is not a live quote and not a buy list. Micro-cap penny stocks are highly volatile, illiquid, and dilution-prone, and you can lose your entire investment. The author is not a registered financial advisor and this tool is not investment, tax, or legal advice. Verify current data against a real source and consult a licensed advisor before any decision.
TL;DR — Key Takeaways
- 1.This is a filter tool, not a list: screen 12 illustrative AI penny stocks live across four axes — max price, market-cap band, AI-exposure score, and sector.
- 2.Price ≠ market cap: a $0.02 ticker (e.g. AITX) can carry a nine-figure cap due to share count — which is why the tool gives you both filters.
- 3.The AI-exposure score separates "AI-core" (SOUN, BBAI) from "AI-adjacent" (AudioEye, Lantronix) — higher score means AI is closer to real revenue.
- 4.The biggest risk is dilution and liquidity, not the AI story. A filter result is a watchlist, never a buy signal.
- 5.Data is an illustrative fixed snapshot (as of 2026). Always verify current figures against a real source before acting.
The Screener — Filter Tickers by Budget and AI Exposure
Adjust the two sliders and two dropdowns — the table below filters live, and clicking any sortable column (price / cap / AI score / momentum) toggles ascending and descending. Everything runs locally in your browser; no data is sent anywhere.
Showing 9 of 12 illustrative tickers · click a column header to sort
| Ticker | Name | Price | Mkt Cap | AI Score ▼ | 90d Mom. | Sector |
|---|---|---|---|---|---|---|
| SOUN | SoundHound AI Voice AI for autos & restaurants | $4.60 | $1.82B | 88 | -18% | AI Software |
| BBAI | BigBear.ai Decision-intelligence for defense/gov | $3.10 | $760M | 84 | -27% | AI Analytics |
| AITX | Artificial Intelligence Technology Solutions Security robots (RAD division) | $0.02 | $95M | 72 | +14% | AI Robotics |
| VERI | Veritone aiWARE enterprise AI orchestration | $4.10 | $165M | 70 | -12% | AI Software |
| POAI | Predictive Oncology AI for oncology drug response | $1.10 | $12M | 58 | -22% | AI Biotech |
| GFAI | Guardforce AI Robotics & cash-logistics in Asia | $1.30 | $18M | 55 | -41% | AI Robotics |
| MARK | Remark Holdings Computer-vision / AI analytics | $0.40 | $30M | 52 | +9% | AI Software |
| LTRX | Lantronix Edge compute for AI/IoT devices | $2.90 | $110M | 48 | +3% | AI Edge/IoT |
| INPX | Inpixon (legacy ticker) Indoor positioning + analytics | $0.90 | $22M | 44 | -33% | AI Edge/IoT |
Expand: the AI story and risk note behind each illustrative ticker (sample data)+
SOUN — SoundHound AI (AI Software)
The poster child of the "AI penny stock" search trade — note it has drifted in and out of true penny territory (under $5) more than once. AI exposure is genuine (voice recognition is the whole business), but revenue is still small relative to the market cap, and the share count keeps growing through stock comp and raises. Illustrative figures only.
BBAI — BigBear.ai (AI Analytics)
Government and defense analytics with a real AI pitch, but lumpy contract revenue and a history of dilution. Momentum here swings hard on single contract announcements — exactly the volatility that makes a micro-cap screen dangerous if you treat it as a buy signal rather than a watchlist filter.
NBIS — Nebius Group (AI Infrastructure)
Often surfaces in "AI stocks under $10" lists. Real GPU-cloud infrastructure exposure, but it sits at the upper edge of the price filter and the cap is past true micro-cap — included here to show how a band filter pushes it in or out. Sample data, not a recommendation.
AITX — Artificial Intelligence Technology Solutions (AI Robotics)
A genuine sub-penny / OTC-style name. The AI-robotics story is real but the share structure is enormous (billions of shares), so the "price" looks tiny while the implied cap is not. Classic example of why price alone is a terrible filter and why this screen also weighs market cap. Illustrative.
RXRX — Recursion Pharmaceuticals (AI Biotech)
AI applied to drug discovery — high AI-exposure score, but biotech burn means cash runway and trial readouts dominate the real risk, not the AI narrative. Shown to demonstrate the AI-biotech corner of the screen. Sample figures.
AEYE — AudioEye (AI Software)
Smaller-cap SaaS using automation/AI for accessibility compliance. AI is a feature, not the whole company, so it gets a mid AI-exposure score — useful for showing how the min-AI-score slider separates "AI-core" from "AI-adjacent" names. Illustrative.
GFAI — Guardforce AI (AI Robotics)
Nano-cap with a robotics/AI label and a brutal momentum reading — included specifically as a cautionary example. Names this small can move 40%+ on tiny volume and have repeatedly done reverse splits. A screener should surface these for scrutiny, never as a green light. Sample data.
LTRX — Lantronix (AI Edge/IoT)
A hardware/edge-IoT business riding the "AI at the edge" theme. AI exposure is partial (it sells the picks-and-shovels, not the model), so it scores moderately — a good test case for tightening the min-AI-score filter. Illustrative.
INPX — Inpixon (legacy ticker) (AI Edge/IoT)
Represents the "serial restructurer" archetype — entities that rebrand, spin off, and reverse-split frequently. The AI/analytics angle exists but corporate-action risk dwarfs it. Kept in the sample set to show why you should always check the actual current filing, not a stale ticker. Illustrative.
VERI — Veritone (AI Software)
Enterprise AI orchestration with real product depth but persistent losses and debt that matter more than the AI score. A solid example of a name that screens "high AI exposure" yet needs a balance-sheet check the screen does not do for you. Sample data.
POAI — Predictive Oncology (AI Biotech)
Nano-cap AI-biotech — the AI-for-oncology pitch is real, but at a $12M illustrative cap the financing risk is the dominant story. Included to populate the nano band so the cap-band filter visibly changes the result set. Illustrative only.
MARK — Remark Holdings (AI Software)
A long-time penny name with a computer-vision pitch. The point of including it is to show how a sub-$1 price with a mid AI-score and modest momentum looks in the table versus the higher-conviction names above. None of this is a recommendation — sample data.
Next step: size a position on a name you found
Micro-caps swing hard. Run a name through the position-size calculator first — work backward from your max acceptable loss before you ever buy.
How the AI-Exposure Score Is Built
The label "AI stock" is badly abused in 2026 — any company that says "AI" once on an earnings call gets swept into some penny-stock list. Our AI-exposure score is a subjective 0-100 estimate answering one question: how close is AI to this company's actual revenue? It does not rate the stock — it measures how real the story is.
- ·80-100 (AI-core): AI is the whole business. SoundHound's voice recognition, BigBear.ai's decision-intelligence — remove AI and the company does not exist.
- ·55-79 (AI-heavy): AI is the main engine of the core product but mixed with legacy lines. Recursion's drug-discovery platform and Veritone's enterprise orchestration sit here.
- ·40-54 (AI-adjacent): AI is a feature bolted onto an existing product. AudioEye's accessibility automation, Lantronix's edge-IoT — AI is a selling point, not the whole thing.
- ·0-39 (narrative-only): AI lives only in the slide deck and press releases, invisible in revenue. This tool largely excludes that tier — it offers little to a penny-stock investor.
The scores are our judgment, drift as businesses change, and you are free to disagree. Push the min-AI-score slider above 70 to see only AI-core names; drop it to 0 to include the AI-adjacent ones too.
Low Price ≠ Small Company: The Penny-Stock Trap
The trap beginners fall into hardest is reading "low price" as "small, cheap, lots of upside." Those are independent. A stock at $0.02 with 5 billion shares outstanding carries a $100M cap — not small at all, and that huge share structure means every new raise dilutes you brutally. AITX in this tool is exactly that: a price like loose change, a cap near $100M.
The reverse is also true: NBIS (Nebius) keeps getting stuffed into "AI stocks under $5" articles, but its cap is well past micro-cap and the price often floats above $5. So this screener gives you two independent axes — max price and market-cap band. Set max price to $5 and the cap band to "Micro," and you will instantly see the list narrow, and which popular tickers do not actually fit the strict "micro-cap penny stock" definition.
It is also why a static "top 10 AI penny stocks 2026" article goes stale fast — the moment a price moves, the list is wrong. Only a filterable tool keeps up with the market.
How to Use This Screener Safely (Not Blow Up Your Account)
① Treat results as a watchlist, not a buy signal
The screener only narrows the field. Every name that survives needs its own check of the latest 10-Q/10-K, cash burn, and share-count history.
② Read market cap and share count before price
Sort by the market-cap column first. A $12M nano-cap and a $300M micro-cap are not in the same risk universe.
③ Use momentum to spot story-stocks, do not chase
A name with 90-day momentum of +/- 40% (like GFAI in the sample) is usually driven by a single headline or retail sentiment — the reversal is just as violent.
④ Size the position before you fall for the ticker
Use the position-size calculator to work backward from your max acceptable loss — keep micro-cap positions small.
Frequently Asked Questions
Does this penny stocks AI screener use live data?+
No. The tool runs on a fixed, clearly-labeled illustrative data snapshot (as of 2026) to demonstrate the filtering logic — max share price, market-cap band, AI-exposure score, and sector — not to provide live quotes. Tickers like SOUN, BBAI, and NBIS are real companies, but the prices, market caps, and momentum shown are sample numbers that drift daily. Verify current data against a broker or real data feed before doing anything. This page is an educational tool, not financial advice.
What counts as a "micro-cap" AI penny stock?+
A common industry split by market cap: nano-cap is usually under $50M, micro-cap roughly $50M to $300M, and small-cap about $300M to $2B. "Penny stock" generally means a share price under $5 — a separate axis from market cap. A stock can trade at $0.02 yet carry a nine-figure cap because of a huge share count (AITX in this tool is exactly that case). That is precisely why this screener gives you both a max-price slider and a market-cap band filter: price alone gets fooled by share structure.
How is the AI-exposure score calculated?+
The AI-exposure score is our own subjective 0-100 estimate of how central AI is to the company's actual revenue — not a rating of whether the stock is good. A company where voice recognition is the entire business (SoundHound) scores high; one that bolts an AI feature onto an existing product (AudioEye) scores in the middle; a pure narrative play where AI lives only in the slide deck scores low. The min-AI-score slider lets you separate "AI-core" from "AI-adjacent" names. It does not predict price — it just helps you spot whether a company's AI story is a real business or marketing.
Why do SOUN, BBAI, and NBIS keep showing up in AI penny stock lists?+
Because they hit the exact combination searchers keep hunting for: low price plus a real AI story. SoundHound (SOUN) is voice AI, BigBear.ai (BBAI) is decision-intelligence analytics, Nebius (NBIS) is GPU-cloud infrastructure. But the "low price" part is fluid — any of them can trade above $5 and stop being a technical penny stock, and NBIS's cap is already well past micro-cap. That is why this tool uses filters instead of a hard-coded list: the moment the market moves, a static "top 10 AI penny stocks" article is stale.
What is the biggest risk with micro-cap AI penny stocks?+
Dilution and liquidity — far more than the AI story itself. Many micro-caps finance themselves with constant share issuance or convertible notes, so even if the business progresses, your slice keeps shrinking. Thin volume means a modest order can move the price 20-40% (GFAI's momentum in this tool is that kind of example), and reverse splits are common at this level. The right use of a screener is to pull these names onto a watchlist for scrutiny, then check each one's latest filings, cash burn, and share structure — never to treat a filter result as a buy signal. This page is an educational tool and not financial advice.
A penny-stocks AI screener educational tool · All figures are illustrative snapshots (as of 2026), not live quotes and not financial advice · Author Jim Liu is not a registered financial advisor · AlphaGainDaily is an independent SEO publisher with no commercial ties to any company listed · Micro-cap penny stocks can lose you your entire investment