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Pelican Imaging
Depth-sensing array camera for AR/VR and mobile devices
About Pelican Imaging
Pelican Imaging Corporation, founded in 2008 by Kartik Venkataraman and Aman Jabbi, was a venture-backed firm that developed computational array cameras for the consumer electronics market. The company's primary innovation was a light-field camera module designed to be significantly thinner than conventional mobile cameras, addressing a key design constraint in smartphones. This was achieved by using an array of small, inexpensive lenses and sensors—its reference design featured a 4x4 grid—to capture 16 slightly different images simultaneously.
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The core of Pelican's business model was not manufacturing but licensing its technology, which combined novel optics, sensors, and powerful software algorithms. These algorithms would process the multiple low-resolution images to synthesize a single high-resolution photo with a detailed, pixel-level depth map. This technology offered users a range of post-capture capabilities, including the ability to refocus an image, focus on multiple subjects, change backgrounds, and perform 3D measurements and modeling. The processing was resource-intensive, relying on the advancements in mobile processors, like the Snapdragon 800, to function in real-time.
Pelican Imaging raised a total of $37 million in funding over several rounds from investors including Globespan Capital Partners, Granite Ventures, InterWest Partners, IQT, Qualcomm Ventures, and NGP Capital. The firm targeted mobile device manufacturers as its primary clients, licensing its technology and design expertise for integration into smartphones and tablets. In November 2016, the technology assets and patent portfolio of Pelican Imaging were acquired by Tessera Technologies, Inc. (now part of Adeia). The acquisition aimed to integrate Pelican's depth-sensing and multi-camera solutions into Tessera's FotoNation subsidiary to accelerate the development of computational imaging solutions for mobile, drone, automotive, and AR/VR applications. Keywords: computational imaging, light-field camera, camera array, plenoptic camera, depth sensing, mobile imaging, computational photography, image refocusing, 3D depth map, multi-camera solutions, image processing algorithms, camera module licensing, FotoNation, Tessera acquisition, Kartik Venkataraman, mobile camera technology, post-capture manipulation, array camera, smartphone camera, venture-backed
At a glance
- Status
- Operational
- Founded
- 2008
- Headquarters
- Santa Clara, United States
- Open positions
- None listed
- Dealroom signal
- 56.4/100
- Sub-industry
- Content production
- Sector
- Consumer Services, Consumer Electronics, Immersive Technologies, Hard Tech, DT and LS
- Technology
- Artificial Intelligence, 3D Technology, Big Data, Deep Tech, Augmented Reality, Computer Vision
- Business model
- Manufacturing
- Client focus
- b2b, b2c
Knowledge graph
More headlines
Funding history
Company financing events and reported valuations.
| Deal type | Date | Amount | Valuation | Investors | Source |
|---|---|---|---|---|---|
| SERIES C✓Equity / VC | Aug 2013 | — | — | Globespan Capital Partners · Granite Ventures · NGP Capital · Qualcomm Ventures | — |
| SERIES C✓Equity / VC | May 2013 | $20M | $80M | Granite Ventures · Qualcomm Ventures · InterWest Partners · Globespan Capital Partners | — |
Growth signals
Latest recorded traffic for Pelican Imaging is 0 monthly website visits, down 100% over the last three months.
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Investments and acquisitions
Recent portfolio relationships for companies that also act as investors or acquirers.
Investors
From Dealroom's funding and investor records, grouped by the round each investor first entered.
Seed1 investor entered at this stage
Series A3 investors entered at this stage
InterWest Partners
Granite Ventures
Globespan Capital Partners
Series B and later3 investors entered at this stage
Qualcomm Ventures
NGP Capital
Panasonic
Other known investors1 additional known investor
Gareth Keane
Source: Dealroom Talent Intelligence.
Global footprint
Market sentiment
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