C3.ai Inc vs Innodata Inc — how do they compare? C3.ai Inc trades at $10.53 (market cap $1.65B), while Innodata Inc trades at $63.56 (market cap $2.05B). The key difference: Innodata Inc is the larger of the two by market cap, and Innodata Inc is trading nearer its 52-week high, C3.ai Inc nearer its low. Which is the better fit depends on your goals.
| AI | INOD | |
|---|---|---|
Market Cap | $1.65B | $2.05B |
Sector | Technology | Technology |
52-Week High | $19.66 | $121.50 |
52-Week Low | $7.76 | $34.45 |
Enterprise Value | $1.08B | $1.80B |
Signals from Pluang's Aura AI — not financial advice
C3.ai (AI) trades at $10.40, up 1.76% with a bullish technical signal despite negative profitability metrics. The company reported Q1 2026 earnings beat but maintains negative net margins of -187.95%. Recent news highlights C3.ai being named a leader in AI platforms by Forrester Research, while technical indicators show RSI levels near 90 suggesting overbought conditions.
The stock faces significant fundamental challenges with persistent losses and negative cash flow, though revenue growth and leadership positioning in enterprise AI provide long-term potential. Analyst consensus is mixed with a $10.20 price target, indicating cautious optimism amid execution risks and competitive pressures in the AI software market.
No Aura AI signal available yet.
Trailing returns across standard periods
C3.ai Inc is an enterprise artificial intelligence company. The company provides software-as-a-service applications that enable customers to rapidly develop, deploy, and operate large-scale Enterprise AI applications across any infrastructure. It provides solutions under three divisions namely, The C3 AI Suite, is a comprehensive application development and runtime environment that is designed to allow customers to rapidly design, develop, and deploy Enterprise AI applications of any type
Read more on AI →Innodata is a global data engineering company that provides solutions for training AI models. It helps enterprises solve complex data challenges through high-quality data annotation and digital transformation.
Read more on INOD →