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Twelve Labs co-founder and CEO Jae Lee.Image Credits:Twelve Labs

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Twelve Labs builds multimodal video understanding models. Some answer questions, others perform searches — and more.Image Credits:Twelve Labs

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AI model that realise video as well as text can unlock sinewy new app . At least , that ’s what Jae Lee , the co - laminitis ofTwelve Labs , think .

Granted , Lee ’s a little biased . Twelve Labs trains video recording - analyze model for a range of use lawsuit . But there may just be something to his assertion .

Using Twelve Labs ’ example , exploiter can seek through videos for specific moments , sum up clips , or necessitate questions like “ When did the person in the red shirt enroll the restaurant ? ” It ’s a potent hardening of capability — which is perhaps why the company has attracted big - name angel , including Nvidia , Samsung , and Intel .

To Lee , a data scientist by training , introductory search never made good sense for video . Keyword searches can rive up titles , tags , and descriptions , but ca n’t get at the actual content of clips .

“ Video is the fastest - get — and most data - intensive — intermediate , yet most organizations are n’t going to devote human resourcefulness to cull through all their picture archives , ” Lee told TechCrunch . “ Even if you tried manually tagging , it would n’t solve the issue . Finding a specific moment or angle in video can be like looking for a acerate leaf in a haystack . ”

After failing to notice a skillful solution , Lee recruited peers Aiden Lee , SJ Kim , Dave Chung , and Soyoung Lee to build one . That was the Book of Genesis of Twelve Labs , which trains fashion model to map textual matter to what ’s go on inside a video recording , include actions , objects , and scope sound .

Models like Google’sGeminican search through footage , and Microsoft and Amazon , among others , provide video analytics services to spot object in clips . But Lee argues that Twelve Labs ’ ware stand apart with their customization options , which allow customers tailor-make model using their own data .

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“ companionship like OpenAI and Google are invest heavily in general - design multimodal model , ” Lee said , “ but these models are n’t optimized for telecasting . Our differentiation lies in being video recording - first from the first … We think video recording is deserving of our lone focus — it ’s not an add - on . ”

Devs can make apps on top of Twelve Labs modeling to search across video recording footage and more . The company ’s tech can drive things like ad interpolation , contentedness relief , and auto - generating high spot reels from clip .

When I speak with Leelast year , I asked about the electric potential for prejudice in Twelve Labs ’ models . It ’s a handsome risk of infection cistron . A 2021studyfound that training a video understanding model on clips of local word , which tends to cover crime in aracializedway , could cause the model to learn racist pattern .

Lee say at the fourth dimension that Twelve Labs was planning to release model - ethics - related benchmarks and datasets . The company still has n’t . In our late chat , Lee assured me that these tools are on the way and that Twelve Labs conducts bias tests on all of its models prior to releasing them .

“ We have n’t released formal prejudice benchmarks yet because we want to secure that they ’re meaningful , practical , and actionable , ” he said . “ Our overall goal is to develop benchmarks that not only hold us accountable , but also ready a standard in the industry … Until we ’ve amply accomplished this destination — and we have a team work on this — we ’re actively working to create AI that empower governance responsibly , respects people ’s civil liberties , and drives technological modification . ”

Lee added that Twelve Labs trains its models on a mix of public domain and licensed data , and does n’t source client data point for education .

Growth mode

video recording analysis remains core to what Twelve Labs does . But , in an effort to stay nimble , the company is also branching into surface area like “ any - to - any ” hunting and multimodal embeddings .

One of Twelve Labs ’ model , Marengo , can seek across images and audio in summation to video , and accept a reference work audio recording , prototype , or video clipping to help guide a search .

Elsewhere , the company offers an API , the Embed API , to create multimodal embeddings for videos , text , images , and audio file . Embeddings are numerical representations that capture the signification and relationship between dissimilar data full point , making them useful for applications programme like anomaly sensing .

Twelve Labs ’ growing product portfolio has helped the startup unafraid clients in the enterprise , media , and entertainment spaces . Two major better half are Databricks and Snowflake , both of which are building Twelve Labs tooling into their offering .

Databricks developed an desegregation that lets customer invoke Twelve Labs ’ embedding service from existing data grapevine . snow bunting , meanwhile , is creating connectors to Twelve Labs manakin in Cortex AI , its fully care AI service .

“ We currently have 30,000 - plus developer using our weapons platform , ranging from individuals experimenting to major endeavour integrating our technology into their workflow , ” Lee said . “ For illustration , we ’ve partner with municipalities for use case like actual - meter threat detection , enhancing emergency brake response prison term , and assisting in traffic management . ”

As a show of strategic support , both Databricks and Snowflake endow in Twelve Labs this calendar month through their several venture arms . SK Telecom and HubSpot Ventures join in , along with In - Q - Tel , an Arlington , Virginia - based non-profit-making VC that invests in startups bear out   U.S. intelligence information capabilities .

The total raw investment came to $ 30 million , bringing Twelve Labs ’ total produce to $ 107.1 million . Lee sound out that the proceeds will be put toward mathematical product development and hiring .

“ We ’re in a very strong fiscal position , but saw an opportunity to intensify key strategic relationships with leadership who believe deeply in Twelve Labs , ” Lee order . “ We currently have 73 full - metre employees , and are plan significant investment in hire across technology , research , and customer - facing roles . ”

New hire

talk of hiring , Twelve Labs on Thursday declare that it ’s adding a president to its 100 - suite : Yoon Kim , former CTO of SK Telecom and a primal architect behind Apple ’s Siri . Yoon will also serve up as Twelve Labs ’ chief strategy officer , spearheading the startup ’s aggressive expansion plan .

“ While it ’s strange for a company of Twelve Labs ’ geezerhood and phase to charter a president , this move is a will to the demand we ’ve have , ” Lee say , adding that Yoon will split time between Twelve Labs ’ San Francisco HQ and its offices in Seoul . “ Yoon is the correct person to help us execute — he ’ll be instrumental in driving succeeding growth with cardinal acquisitions , expanding our global presence , and aligning our teams toward challenging goals . ”

Lee says that the target is to grow into new and adjacent vertical , like self-propelling and security , in the next few years . Considering In - Q - Tel ’s involvement , security ( and perhaps defence reaction piece of work ) seems like a shoe - in ; Lee would n’t sustain outright .

“ The investment from In - Q - Tel reflects the versatility and potential of our technology across many sector , including internal surety , ” Lee said . “ We ’re always open to explore opportunity where our engineering can have a convinced , meaningful , and responsible shock that aligns with our honorable road map . ”