With $6.2 million in seed funding and 600% year-over-year progress, SENAI is increasing its video intelligence know-how to authorities, safety, and enterprise clients.
As protests, political campaigns, and conflicts play out worldwide, a number of the earliest footage comes from folks posting movies on social media. However with a lot content material being uploaded each minute, even crucial clips can get buried. For intelligence groups, the issue isn’t a scarcity of footage. It’s determining which movies deserve consideration and what they reveal in regards to the occasions on the bottom.
That’s the issue SENAI, an AI-powered intelligence firm, is attempting to unravel. Its know-how sifts via publicly accessible movies to determine incidents, suspicious exercise, and particulars that may escape a human analyst.
Since elevating $6.2 million in a seed spherical led by 10D Ventures, SENAI has reported 600% year-over-year progress, and its know-how has already been used to investigate publicly accessible video related to the civil unrest sweeping throughout Europe, in addition to through the U.S. midterm elections.
Turning On-line Video Into Actual-World Intelligence
SENAI calls its method On-line Video Intelligence (OVINT), a class the corporate is working to ascertain as its personal intelligence self-discipline. Most social listening instruments use key phrases, hashtags, and engagement metrics to flag one thing suspicious. However SENAI takes a unique method by taking a look at the whole lot past the textual content.
Utilizing multimodal AI, its know-how examines what is going on within the video itself, together with background noise, visible landmarks, and different clues that may assist pinpoint the place the content material was filmed. By analyzing these particulars, the platform can construct a clearer image of unfolding incidents and join movies in ways in which could be virtually unattainable for a human to do throughout a handbook overview.
As Resilience Media reported, vital footage can floor on-line properly earlier than the incident makes the information. The problem is discovering these clues among the many huge quantity of content material posted day in and day trip. SENAI addresses this downside by enabling large-scale video evaluation, serving to organizations discover vital data they’d in any other case miss.
Mapping Protests and Civil Unrest Throughout Europe
The current protests in France provide a real-world look into how SENAI applies its know-how. As protests unfold throughout the nation, movies of disruptions shortly flooded information headlines and social media feeds. As Le Monde reported, platforms like TikTok, Instagram, and Snapchat performed a significant function in spreading the footage, drawing much more undesirable consideration to the chaos occurring on the streets.
Over 24 hours, SENAI analyzed greater than 4,000 publicly accessible movies from cities together with Paris, Marseille, Limoges, and Grenoble. In keeping with SENAI, livestreams accounted for greater than 65% of the movies flagged as violent, with TikTok offering probably the most related footage, adopted by Instagram and Snapchat.
The evaluation additionally helped distinguish peaceable demonstrations from these involving or resulting in violence, giving analysts a transparent sense of what was occurring in every metropolis slightly than treating the protests as one single occasion.
Analyzing the 2026 U.S. Midterm Elections
SENAI additionally put its know-how to work forward of the November 3 U.S. midterm elections, this time taking a look at what on-line conversations may reveal in regards to the political panorama.
Within the lead-up to Election Day, the corporate performed an unbiased evaluation of social media exercise, drawing on public knowledge and historic election outcomes to evaluate how political conversations have been taking form on-line. The evaluation coated 9 aggressive Senate races, taking a look at the whole lot from candidate sentiment and influential accounts to coordinated messaging.
Utilizing knowledge collected via October 28, SENAI projected Democrats would win about 235 Home seats, inside an estimated vary of 224–247, with an 85% likelihood of taking management. The Senate race appeared tighter, with the corporate forecasting a 51–49 Democratic majority at roughly 60% likelihood.
The evaluation additionally recognized variations between digital exercise and polling. In Michigan, for instance, 61.8% of partisan on-line content material favored Republicans, although polls indicated a Democratic benefit.
However a number of the extra fascinating findings got here from the gaps between what folks posted on-line and what the polls confirmed. In Michigan, for instance, 61.8% of partisan on-line content material favored Republicans, regardless of polls pointing to a Democratic lead.
Not like conventional election forecasts, reminiscent of Cornell College’s congressional forecast, SENAI’s evaluation appears to be like previous the polls to look at what’s occurring on-line. Whereas social media doesn’t all the time mirror how folks vote, it could reveal which political narratives are gaining consideration, who’s driving them, and the way they’re spreading.
Increasing the Function of AI in Intelligence
For SENAI, the potential goes past particular person occasions. With demand for its know-how rising, the corporate is trying to convey on-line video intelligence to extra organizations going through the identical downside: an excessive amount of data unfold throughout too many platforms, with no straightforward technique to make sense of it. The problem is proving its know-how can constantly ship correct, dependable intelligence as extra organizations use it.
Its work through the protests in Europe and the U.S. midterm elections gives an early glimpse at what that might imply in apply. Movies that may as soon as have been neglected or misplaced in social media feeds can now assist analysts piece collectively what’s occurring, the place, and why it issues.
