Deep Vision, Inc.
AI modules for personal deep analysis, daily tracking, and complex problem-solving
- Sector
- Software
- Headquarters
- SUNNYVALE, CA
- Founded
- 2013
- Latest Form D
- $1M, Apr 2016
- Total capital
- $1M
- Federal grants
- None on recordNo awards found in SBIR/STTR, NIH, NSF or DoD records.
- Private capital raised
- $1M
- 1 Form D · last Apr 2016
- 126 months since last filing
- Federal contracts
- None on recordNo federal contract awards found.
- Granted patents
- 18
- 19 pending · first 2019
- Rank in peer group#23 of 831
Capital timeline
Latest events
- Private capital raisedForm D · SEC · 1st filing$1M
Node area is scaled to amount. Form D reports securities sold, which can differ from an announced round; filings are numbered in the order they were made.
Standing among 831 peers
Line = medianSoftware
- Granted patents#23 · top 3%
Cumulative measures favor older companies. Rankings describe position today, not outcome. Below the median, ranks show as a band rather than a number.
Founders and team
Researcher links verified by same-company patents and grants- Wajahat QadeerResearcherDirectorLinked by 4 patents
- Jason CopelandExecutive Officer, DirectorNamed in SEC Form D filings
- Rehan HameedDirectorNamed in SEC Form D filings
What it has protected
USPTO · 18 granted of 37- PendingProcessor System And Method For Increasing Data-transfer Bandwidth During Execution Of A Scheduled Parallel ProcessUSPTOApplication 19465140
- GrantedSystem And Method For Profiling On-chip Performance Of Neural Network ExecutionUSPTOUS 12,619,515
- GrantedProcessor System And Method For Increasing Data-transfer Bandwidth During Execution Of A Scheduled Parallel ProcessUSPTOUS 12,561,576
Show all 37 patent records
- Processor System And Method For Increasing Data-transfer Bandwidth During Execution Of A Scheduled Parallel ProcessJun 11, 2026 · Application 19465140Pending
- System And Method For Profiling On-chip Performance Of Neural Network ExecutionMay 5, 2026 · US 12,619,515Granted
- Processor System And Method For Increasing Data-transfer Bandwidth During Execution Of A Scheduled Parallel ProcessFeb 24, 2026 · US 12,561,576Granted
- Method For Static Scheduling Of Artificial Neural Networks For A ProcessorOct 2, 2025 · Application 19235988Pending
- Deep Vision ProcessorAug 21, 2025 · Application 19188630Pending
- Method For Static Scheduling Of Artificial Neural Networks For A ProcessorJul 29, 2025 · US 12,373,257Granted
- Deep Vision ProcessorMay 20, 2025 · US 12,307,252Granted
- System And Method For Maintaining Dependencies In A Parallel ProcessApr 17, 2025 · Application 18984492Pending
- Method For Automatic Hybrid Quantization Of Deep Artificial Neural NetworksApr 10, 2025 · Application 18984655Pending
- Method And Tensor Traversal Engine For Strided Memory Access During Execution Of Neural NetworksMar 13, 2025 · Application 18957297Pending
- System And Method For Maintaining Dependencies In A Parallel ProcessJan 28, 2025 · US 12,210,902Granted
- Method For Automatic Hybrid Quantization Of Deep Artificial Neural NetworksJan 21, 2025 · US 12,205,011Granted
- Method And Tensor Traversal Engine For Strided Memory Access During Execution Of Neural NetworksJan 7, 2025 · US 12,190,113Granted
- A Processor System And Method For Increasing Data-transfer Bandwidth During Execution Of A Scheduled Parallel ProcessJul 2, 2024 · US 12,026,628Granted
- System And Method For Queuing Commands In A Deep Learning ProcessorMar 26, 2024 · US 11,941,440Granted
- Method For Automatic Hybrid Quantization Of Deep Artificial Neural NetworksSep 19, 2023 · US 11,763,158Granted
- Deep Vision ProcessorAug 22, 2023 · US 11,734,006Granted
- Method And Tensor Traversal Engine For Strided Memory Access During Execution Of Neural NetworksAug 1, 2023 · US 11,714,651Granted
- Method And Tensor Traversal Engine For Strided Memory Access During Execution Of Neural NetworksMay 25, 2023 · Application 18076354Pending
- Method And Tensor Traversal Engine For Strided Memory Access During Execution Of Neural NetworksJan 10, 2023 · US 11,550,586Granted
- Processor System And Method For Increasing Data-transfer Bandwidth During Execution Of A Scheduled Parallel ProcessDec 13, 2022 · US 11,526,767Granted
- System And Method For Queuing Commands In A Deep Learning ProcessorNov 29, 2022 · US 11,513,847Granted
- Deep Vision ProcessorSep 6, 2022 · US 11,436,014Granted
- Processor System And Method For Increasing Data-transfer Bandwidth During Execution Of A Scheduled Parallel ProcessMar 3, 2022 · Application 17461288Pending
- Deep Vision ProcessorAug 3, 2021 · US 11,080,056Granted
- Deep Vision ProcessorNov 12, 2019 · US 10,474,464Granted
- Deep Vision ProcessorApplication 62528796Pending
- System And Method For Profiling On-chip Performance Of Neural Network ExecutionApplication PCTUS2022053534Pending
- Systems And Methods For Managing Multiple Machine-learning-specific ProcessorsApplication 63343014Pending
- System And Method For Profiling On-chip Performance Of Neural Network ExecutionApplication 63291893Pending
- A Processor System And Method For Increasing Data-transfer Bandwidth During Execution Of A Scheduled Parallel ProcessApplication PCTUS2021048235Pending
- Processor System And Method For Increasing Data-transfer Bandwidth During Execution Of A Scheduled Parallel ProcessApplication 63071874Pending
- Method And Direct Memory Access Engine For Strided Memory Access During Execution Of Neural NetworksApplication 63030183Pending
- System And Method For Queuing Commands In A Deep Learning ProcessorApplication 62994108Pending
- Method For Static Scheduling Of Artificial Neural Networks For A ProcessorApplication 62949905Pending
- Method For Automatic Hybrid Quantization Of Deep Artificial Neural NetworksApplication 62943565Pending
- Deep Vision ProcessorApplication PCTUS2018040721Pending
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- Signum LLCSimilar federal contract value in Software · null in contracts
Sources
Federal grants from SBIR/STTR, NIH, NSF and DoD records. Federal contracts from USAspending.gov. Private capital from SEC Form D. Patents from USPTO. Publications from OpenAlex. Regulatory activity from the Federal Register. Press matched on company name.
How to read this page
Figures show associations in public records, not causes or predictions. Nothing here is investment advice. An em-dash means no record was found under this company's name, not that none exists.
Data freshness
SEC Form D filings through . SBIR and STTR awards through .