ℹ️ How are these calculated?
🎯 Investment Thesis
Micro-cap data engineering play supporting 5 of 7 Magnificent Seven companies. New Palantir partnership for AI training data and computer vision adds a significant enterprise customer. Pivoting into agentic AI 'judge' systems for recurring revenue. BWS Financial upgraded to Top Pick ($110), Wedbush maintains Outperform ($90). At 52% below ATH ($94) after a 32% pullback — the entry quality has improved significantly vs Feb 5.
⚠️ Key Risk
Micro-cap ($1.4B) with low liquidity and high volatility — 32% drawdown in one week (Feb 6). Data labeling is becoming increasingly automated — Scale AI and others building competing AI-powered labeling. Trailing PE of 47x is stretched for a small-cap. Customer concentration risk. Revenue could be lumpy as AI training projects are project-based.
By The Numbers
Event Impact
Data engineering for AI model training. Supports 5 of 7 Mag-7. Derivative play on AI spend.
No exposure to energy or defense.
No quantum relevance.
Minimal China exposure.
Micro-cap at 33x PE. Small stocks most vulnerable to rate-driven multiple compression.
No energy grid relevance.
No significant fiscal exposure.
Price Targets
Upcoming Catalysts
Competitive Landscape
Larger, VC-backed, more automation
Declining competitor losing share to Innodata
Company Background
Founded 1988 as a document digitization company. Reinvented as AI data engineering firm in 2023-2024 as demand for training data exploded.