Deeptrack is simply ten months previous. It was born out of a layoff, a $10,000 cheque, and a wager on a rising drawback: deepfakes. In the present day, the Nairobi-based startup helps shoppers confirm media, detect forgeries, and cease artificial fraud earlier than it spreads. Its founder, Brian Ok’Oyundi, is aware of the job isn’t near executed.
“We’re 10 months previous right now,” he instructed me throughout an interview final Friday. “The best half is how Deeptrack was born, from me getting laid off final 12 months from Vambo AI,” a Kenyan AI startup. “I feel I began constructing Deeptrack two weeks later. Inside that interval of getting laid off, which was mid-October, I landed a person investor who reduce me a test of $10,000, and I began constructing.”
The worldwide deepfake detection market is projected to develop from $114.3 million in 2024 to over $5.6 billion by 2034 as organisations demand instruments that confirm authenticity in digital content material. North America leads the market, accounting for 42.6% of income. Deepfake detection instruments are designed to identify manipulated or completely pretend audiovisual content material created utilizing AI, now a rising menace in media, politics, and cybersecurity.
The startup wrote its first traces of code in November 2024 and its web site went dwell in the identical month. Since then, it has launched 4 merchandise: Sentinel, which helps with know-your-customer (KYC) checks; Gotham, a deepfake detection system constructed for enterprise use; Atlas, a instrument for verifying the authenticity of media recordsdata; and Foundry, which flags cast or altered paperwork submitted in insurance coverage claims.
Deeptrack presently has two paying shoppers preserving the lights on. The group is lean, about ten folks, unfold throughout a number of African nations, together with Burundi, Morocco, and Cameroon.
How Deeptrack works
Deeptrack’s detection system runs on deep neural networks educated to identify indicators that people typically miss. It makes use of a multistage forensic pipeline, beginning with pre-processing to standardise inputs. This consists of resizing, format conversion, body extraction for video, and fingerprinting for traceability.
Subsequent is the detection part, the place Deeptrack’s fashions, educated on hundreds of deepfake samples, run alongside APIs from Actuality Defender, which scan for indicators of manipulation. Shopping for these APIs is a sensible selection for a small group as a result of it saves time, lowers prices, and frees them as much as construct instruments to be used circumstances like KYC and political deepfakes.
The ultimate steps contain characteristic evaluation and classification. The system checks for indicators like irregular eye motion, dangerous lighting, or lip sync points. Every file is then scored utilizing Deeptrack’s belief mannequin, serving to shoppers resolve whether or not to behave, flag, or archive the content material.
Gotham and the danger of enterprise abuse
One in every of Deeptrack’s merchandise, Gotham, is constructed for enterprises, particularly media homes, safety companies, and banks. Gotham, by way of an online app, permits bulk uploads and multi-modal detection, which means it may well course of each video and audio on the similar time.
One use case is media vetting, the place, as an example, a consumer uploads a video or audio clip to confirm if it has been tampered with or synthetically generated. Deeptrack’s mannequin runs an evaluation and sends again a end result with a confidence rating and tampering report.
That rigidity between detection and abuse, the place deepfakes are used to harass or discredit others, is one thing the startup thinks about. In lots of cases, deepfakes are exhausting to detect and as they get extra convincing, detection instruments want to enhance simply as quick to maintain up.
Why beginning small helps
When Ok’Oyundi launched Deeptrack, he made a name that didn’t age nicely: launching with an enormous group, which included a bunch of acquaintances that he needed to let go in early 2025. “We hadn’t constructed something customers needed but, however we have been already spending on salaries and operations.” By December 2024, that they had burned by way of half the cash they’d raised.
The group, which incorporates advisory members, has since grown slowly, with most of them working remotely and their roles now narrowly outlined. They’ve additionally turn out to be extra frugal, in line with Ok’Oyundi, and are but to boost any extra funding up to now.
Mirror and past
Deeptrack’s subsequent launch is Mirror, a instrument aimed toward high-net-worth people, public figures, and corporations dealing with status assaults. The instrument scans for pretend audio or video impersonations circulating on-line and flags threats earlier than they go viral.
Mirror operates on two ideas. First, proactive scraping displays social media channels or chat apps that often share manipulated content material. Second, voiceprint and faceprint safety, which includes making a biometric fingerprint of enrolled customers and flagging any media that makes an attempt to imitate their voice or facial options.
What comes subsequent
The group is making ready to scale by hiring extra machine studying engineers and increasing its workplace house. Deeptrack may also have to discover a bigger, safe house to deal with its servers.
“Proper now, we work out of a small house in Nairobi,” Ok’Oyundi stated, referring to a co-working house the place I met him along with his group.
Ok’Oyundi has additionally been accepted into The Residency, a six-week in-person founder programme in San Francisco, and plans to make use of the time to learn to pitch Deeptrack for follow-on funding. “We’re occupied with elevating later this 12 months. One thing small, possibly $300,000. Simply sufficient to increase the runway and do extra hires.”
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