Synaptrix Labs is a New York-based neurotechnology company founded in 2023 that focuses on delivering advanced non-invasive brain-computer interface (BCI) stack solutions.
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Synaptrix, Inc. is an ai/ml company headquartered in United States. Its most recent funding round raised $10M in November 2024. Xcout tracks 6 named people at Synaptrix, Inc., including Shyamy Sastry (Chief Executive Officer). Xcout recorded 2 job postings from Synaptrix, Inc. in the last 90 days.
Every round on record:
| Date | Round | Amount | Investors |
|---|---|---|---|
| SEC Form D filing | $10M | — |
Who invested in each round, lead investors, valuations and the co-investor graph — open the full funding history →
Xcout recorded 2 job postings from Synaptrix, Inc. in the last 90 days, from a hiring record Xcout has kept since August 2026.
The weekly hiring trend, the roles and locations behind it — see Synaptrix, Inc.'s hiring signals →
A few of Synaptrix, Inc.'s closest competitors — see the full list of competitors and alternatives →
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Neurocode provides internal development services, production infrastructure, and brain-computer interface neuroheadset technology.
SynSense is a leading neuromorphic computing company headquartered in Ningbo, China. It specializes in providing neuromorphic intelligence and application solutions, including low-power, low-latency inference ASICs and IP, as well as dedicated mixed-signal/fully digital neuromorphic processors.
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Synaptic Advisory Partners Inc. provides pre-built vertical AI agents and fully managed solutions designed to integrate with Salesforce for healthcare, government, and high-tech organizations. The company helps clients automate processes, improve service delivery, and achieve measurable return on investment through industry-specific applications.
MythWorx provides a neuromorphic AI platform designed for edge, offline, and regulated environments by combining brain-inspired reasoning with generative modeling. The company offers three core engines—TrainingWorx, NeuroWorx, and TensorWorx—to enable cost-effective model training, low-power verifiable reasoning without cloud dependency, and multi-hardware deployment for enterprises.
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