
Captur automates real-time image validation and frontline decisioning by running computer vision models directly on mobile devices. Its SDK integrates into enterprise mobile apps to perform on-device…

Captur automates real-time image validation and frontline decisioning by running computer vision models directly on mobile devices. Its SDK integrates into enterprise mobile apps to perform on-device…
Product: On-device real-time image AI SDKs for mobile apps (iOS, Android, React Native, Flutter)
Use cases: Logistics/proof-of-delivery, inspections, retail returns, insurance claims, micromobility
Performance & privacy: Low-latency (~30ms) on-device inference; offline operation and GDPR-focused privacy
Founded: 2020
Recent raise: $6M seed (announced March 2026)
Validating and guiding user photo capture in mobile apps for operational use cases (proof-of-delivery, inspections, returns, claims).
2020
Software Development
$6M
Round announced March 2026; participation from Sure Valley Ventures and other early backers
“Participation from institutional seed investors including Rally Ventures and Sure Valley Ventures; board addition of a former Google CIO noted as part of the round.”
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About Captur
Captur helps software understand real world scenes in real-time with an SDK for flexible, on-demand visual recognition. We’re a small, rapidly scaling team backed by top-tier investors; we recently closed a $6M seed round to accelerate product and go-to-market growth. We are global leaders in edge ML and have validated +150M images on-device for enterprise customers such as Lime. Next, expanding as a horizontal platform across use cases that require real-time speed, high volume and coverage across a wide range of mobile devices.
About the Role
You’ll work directly with our ML team on a focused project that aligns both with your interests and our product roadmap. Throughout the internship, you’ll receive regular mentorship and technical feedback while working on real machine learning challenges involving models that run directly on users’ devices.
Potential project areas include:
Qualifications
We are looking for candidates who are currently pursuing, or have recently completed, a Master’s or PhD in Computer Science, Machine Learning, Mathematics, Engineering, Physics, or a related quantitative discipline
Required Skills
Preferred Skills
We’re particularly interested in candidates who enjoy understanding how ML systems behave in production, not just training models.
Pay range and compensation package
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