{
  "company": {
    "name": "UPMEM",
    "website": "https://upmem.com/",
    "record": "https://startuphistory.org/c/upmem.com"
  },
  "status": null,
  "history_since": null,
  "baseline": null,
  "live_captures": 0,
  "last_checked": null,
  "live_status": "offline",
  "messaging": [],
  "changes": [],
  "update": null,
  "same_space": [
    {
      "name": "XCENA",
      "record": "https://startuphistory.org/c/xcena.com",
      "basis": "ai_judged",
      "category": null,
      "overlap": "direct",
      "why": "Both deliver computational memory hardware plus full-stack software to accelerate AI and data-intensive workloads."
    },
    {
      "name": "Blueshift Memory",
      "record": "https://startuphistory.org/c/blueshiftmemory.com",
      "basis": "ai_judged",
      "category": null,
      "overlap": "direct",
      "why": "Both design new memory chips/modules and software to relieve the memory bottleneck for AI and data-intensive computing."
    },
    {
      "name": "Rain AI",
      "record": "https://startuphistory.org/c/rain.ai",
      "basis": "ai_judged",
      "category": null,
      "overlap": "partial",
      "why": "Both build in-memory or near-memory compute hardware and platforms to accelerate AI training and inference."
    },
    {
      "name": "SEMRON",
      "record": "https://startuphistory.org/c/semron.ai",
      "basis": "ai_judged",
      "category": null,
      "overlap": "partial",
      "why": "Both offer in-memory computing hardware to run AI inference more efficiently for similar AI workloads."
    },
    {
      "name": "Synthara",
      "record": "https://startuphistory.org/c/synthara.ai",
      "basis": "ai_judged",
      "category": null,
      "overlap": "partial",
      "why": "Both use in-memory computing concepts to accelerate AI, though one targets embedded SRAM IP and the other DIMMs."
    },
    {
      "name": "Untether AI",
      "record": "https://startuphistory.org/c/untether.ai",
      "basis": "ai_judged",
      "category": null,
      "overlap": "partial",
      "why": "Both use near-memory compute architectures to accelerate AI inference across data-intensive applications."
    },
    {
      "name": "EnCharge AI",
      "record": "https://startuphistory.org/c/enchargeai.com",
      "basis": "ai_judged",
      "category": null,
      "overlap": "partial",
      "why": "Both provide in-memory AI accelerators plus software stacks aimed at efficient AI inference."
    },
    {
      "name": "Mythic",
      "record": "https://startuphistory.org/c/mythic.ai",
      "basis": "ai_judged",
      "category": null,
      "overlap": "partial",
      "why": "Both sell compute-in-memory AI processors and software to speed up AI inference versus conventional architectures."
    }
  ],
  "method": {
    "version": "messaging-v1",
    "description": "https://startuphistory.org/method"
  },
  "license": "CC-BY-4.0",
  "cite": "StartupHistory, “UPMEM” company record, https://startuphistory.org/c/upmem.com"
}