Seeing Machines Limited (SEE.L) • LSE
Unlock comprehensive alternative data signals to make better investment decisions

Track website visits, page views, unique visitors, and engagement metrics over time to gauge online interest and brand strength.

Monitor Twitter follower growth, engagement rates, and social media presence to understand brand reach and community sentiment.

Analyze TikTok follower trends and viral content performance to measure youth demographic appeal and cultural relevance.

Track Facebook page likes, comments, shares, and post engagement to assess community interaction and brand loyalty.

Monitor Instagram follower growth, engagement rates, and visual content performance across demographics.

Track YouTube channel growth, video views, and subscriber engagement to measure content marketing effectiveness.

Monitor LinkedIn company page followers and professional network growth to assess B2B brand strength and talent attraction.

Track open job positions and hiring trends as a leading indicator of company expansion, contraction, or strategic shifts.

Monitor employee headcount changes on LinkedIn to gauge organizational growth, restructuring, or cost-cutting measures.

Analyze sentiment scores from Reddit discussions to understand retail investor mood and potential price momentum.

Track daily news mentions across major publications to measure media attention, PR effectiveness, and market awareness.

View key financial metrics including Revenue, Net Income, EPS, Free Cash Flow, EBITDA, and Total Assets. Access 2-year quarterly charts for Revenue & Income and Free Cash Flow trends.

Analyze technical indicators including 50-day Simple Moving Average (SMA) with price overlay and Relative Strength Index (RSI) charts.
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The company is currently loss-making, as indicated by its negative EPS and negative P/E ratio. This suggests that, despite any potential growth story, profitability has not yet been achieved, and investors are paying for future expectations rather than current earnings. Without evidence of improving margins or a clear path to profitability, the financial profile leans negative in the near term.
The stock trades at $4.70, modestly above its 200-day moving average of $4.02, which is a mildly constructive technical signal. However, the 3.1% decline over the last month indicates recent selling pressure and a lack of strong near-term momentum. Overall, price action suggests a consolidating name with neither a clear bullish nor clearly broken bearish trend at this time.
Alternative data show a relatively stable but not rapidly expanding digital and hiring footprint. Website traffic and job openings appear flat, pointing to steady rather than aggressive growth or contraction. Social media presence is modest with mixed but low-magnitude changes across platforms, suggesting a stable brand profile without strong new momentum signals.
Overall, the picture for Seeing Machines Limited appears neutral: the company remains loss-making, but the stock trades above its 200-day moving average and alternative data suggest stability rather than deterioration. The equity story currently hinges on future execution and the market’s willingness to look past near-term losses. Without clear evidence of an earnings inflection or strong growth acceleration in alternative signals, the risk/reward skews toward a wait-and-see stance.
Our AI Score rates companies on a scale from 0 to 10, based on alternative data points such as web traffic, app downloads, and job postings — combined with financial health indicators and technical signals.
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