A small studio building a small number of things properly
Ortura Labs builds AI products for problems where the existing tools were designed for somewhere else — and where getting the local details right is most of the work.
Three problems that all have the same shape
We started with dubbing. Most tools solved half the problem — translating the words, then replacing the speaker with a stranger's voice or leaving a mouth moving out of sync with the new audio. FaceMagic closed that gap with voice cloning, gender-aware translation and an isochrony-timed, lip-synced pipeline built for Indic grammar rather than retrofitted to it.
The same pattern kept appearing elsewhere. Digital humans were being streamed from render farms, which made them expensive and slow — so Uruvam moved the face onto the user's own device and sends it speech instead of video. Rooftop solar was being designed after a site visit rather than before one — so SolarMe sizes the plant from the bill, sanctioned load and state policy caps, then reads the roof and draws the design up front.
We are a small team building from Hoshiarpur, Punjab. We would rather ship three products that hold up under scrutiny than a platform that claims to do everything.
See all our productsThree products, live today
Principles behind every pipeline
Built for India first
Indian languages, Indian roofs, Indian tariff policy. Each product is designed around that context from day one, not retrofitted for it later.
Run work where it is cheapest
Compute belongs on the device when the device can handle it. Less server work means lower latency and a cost that does not climb with every user.
Craft over shortcuts
We would rather ship a slower pipeline that holds up under close scrutiny than a fast one that is obviously synthetic.
Human-in-the-loop
AI does the heavy lifting; people still get the final say before anything reaches an audience or goes onto a roof.