{
 "features_resolved": {
  "snapshot_any": false,
  "snapshot_mem": false,
  "fork": false,
  "pause_resume": false,
  "persistent_disk": false,
  "whole_disk": false,
  "persist_scope": null,
  "volumes": false,
  "auto_stop_idle": false,
  "long_sessions": true,
  "custom_image": null,
  "image_snapshot": false,
  "image_oci": false,
  "vm_isolation": null,
  "docker_inside": null,
  "nested_virt": false,
  "root": null,
  "systemd": null,
  "browser": false,
  "desktop": false,
  "computer_use": false,
  "code_interpreter": null,
  "browser_control": null,
  "desktop_control": null,
  "browser_and_desktop": false,
  "anti_bot": false,
  "captcha_solving": false,
  "residential_ip": null,
  "agent_harnesses": false,
  "ssh": false,
  "public_ipv4": false,
  "inbound_https": false,
  "custom_domain": null,
  "raw_tcp_inbound": null,
  "egress_allowlist": false,
  "open_internet": null,
  "static_egress_ip": false,
  "private_network": null,
  "self_host": false,
  "byoc": false,
  "open_source": false,
  "soc2": null,
  "hipaa": null,
  "sso": false,
  "gpu": true,
  "arm64": null,
  "windows": false,
  "macos": false,
  "lang_python": null,
  "lang_node": null,
  "lang_go": null,
  "lang_rust": null,
  "lang_java": null,
  "gpu_desktop": null,
  "credential_injection": null,
  "egress_http_rules": false,
  "wake_on_request": false,
  "live_resize": false,
  "fork_running": false,
  "memory_snapshot_fork": false,
  "webhooks": null,
  "scheduled_wakeups": null,
  "audit_logs": null,
  "eu_data_residency": null,
  "zero_data_retention": null,
  "scoped_api_keys": null,
  "spend_limits": null,
  "mcp_server": false,
  "usage_api": false,
  "snapshot_auto": false,
  "snapshot_on_demand": false,
  "harness_api": false,
  "own_agent_api": false,
  "fast_boot": null,
  "strong_isolation": null,
  "ingress_rules": false,
  "guest_firewall": null,
  "secret_proxy": false,
  "secret_proxy_any": false,
  "volume_attach": false,
  "volume_shared": false,
  "sidecar": null,
  "fuse": null,
  "kernel_features": null,
  "burst": null
 },
 "company": {
  "id": "zibra-labs",
  "checked": "2026-09-30",
  "company": "Zibra Labs",
  "ownership": {
   "value": "independent",
   "parent": null,
   "source": "https://zibralabs.ai/",
   "quote": "Backed by Y Combinator"
  },
  "stage": {
   "value": "pre-seed",
   "source": "https://www.ycombinator.com/companies/zibra-labs",
   "quote": "Zibra Labs Founded: 2026 Batch: Spring 2026 ... Status: Active",
   "confidence": "low",
   "note": "Company is a current (Spring 2026) YC batch company, founded 2026, team of 2, pre-launch/sales-led with no pricing or public product. YC's standard pre-seed investment is implied by batch participation but no priced round (amount/date/investors) was found publicly; no press, Crunchbase, or TechCrunch coverage located within research time. Stage inferred as pre-seed from YC-batch status alone, not confirmed."
  },
  "accelerators": [
   {
    "name": "Y Combinator",
    "batch": "Spring 2026",
    "source": "https://www.ycombinator.com/companies/zibra-labs",
    "quote": "Zibra Labs Founded: 2026 Batch: Spring 2026 Team Size: 2 Status: Active Location: San Francisco",
    "confidence": "high",
    "via": "research"
   }
  ],
  "total_funding_usd": {
   "value": null,
   "status": "unknown"
  },
  "last_round": {
   "type": "unknown",
   "amount_usd": null,
   "date": null,
   "leads": [],
   "status": "unknown",
   "source": "",
   "quote": ""
  },
  "investors": [
   "Y Combinator"
  ],
  "portfolio_listings": [
   {
    "source": "a16z Speedrun",
    "company": "Zibra AI",
    "batch": "SR001",
    "how": "name"
   },
   {
    "source": "Andreessen Horowitz",
    "company": "Zibra AI",
    "batch": null,
    "how": "name"
   },
   {
    "source": "Antler",
    "company": "Zibra",
    "batch": 2021,
    "how": "name"
   }
  ],
  "revenue": {
   "value": null,
   "status": "unknown"
  },
  "employees": {
   "value": 2,
   "source": "https://www.ycombinator.com/companies/zibra-labs"
  },
  "note": "Confirmed match: zibralabs.ai's own site states 'Backed by Y Combinator' and the YC directory page for Zibra Labs (Spring 2026, Active, founded 2026, San Francisco, team size 2) matches the same company/domain. Founders Ibrahim Rabbani (CEO) and Zac Policzer (CTO) were former tech leads of Ray (open-source, used by xAI, Cursor, Bridgewater, Two Sigma) and built databases at LinkedIn. Product is pre-launch/sales-led (distributed compute clusters across hyperscalers/neoclouds for AI workloads; 'Schedule a Call' is the only CTA, no self-serve pricing/docs/console). No funding amount, round date, lead investors, or revenue were found in press, HN, or web search within the research window; only the YC accelerator relationship itself is confirmed."
 },
 "id": "zibra-labs",
 "name": "Zibra Labs",
 "url": "https://zibralabs.ai/",
 "category": "gpu-cloud",
 "isolation": null,
 "modes": [
  {
   "key": "native",
   "label": "Native product; see regime notes",
   "flags": [
    "alt"
   ],
   "os": [
    "linux"
   ],
   "regions": null,
   "gpu_only": false,
   "features": {},
   "pricing": "resource",
   "vcpu_h": null,
   "ram_gib_h": null,
   "cpu_basis": "alloc",
   "ram_basis": "alloc",
   "active_floor": 0,
   "ram_per_vcpu": [
    null,
    null
   ],
   "ram_fixed_per_vcpu": null,
   "vcpu_options": null,
   "min_vcpu": null,
   "max_vcpu": null,
   "max_ram_gib": null,
   "sizes": null,
   "pool_tiers": null,
   "requires_always_on": false,
   "always_on_month_per_instance": null,
   "commit_note": null,
   "min_billed_seconds": null,
   "granularity_s": null,
   "start_fee": null,
   "boot_overhead_s": null,
   "multiplier": 1,
   "windows_vcpu_h": null,
   "gpu": null,
   "note": "Incomplete or non-resource economics: rates remain null, never interpreted as free."
  }
 ],
 "storage": {
  "included_disk_gib": null,
  "disk_gib_month": null,
  "disk_billed_when_stopped": null,
  "snapshot_gib_month": null,
  "paused_ram_billed": null
 },
 "network": {
  "egress_free_gib": null,
  "egress_gib": null,
  "ipv4_month": null,
  "ipv4_available": null
 },
 "plans": [
  {
   "name": "Current applicable tariff unverified",
   "fee": null,
   "flags": [],
   "fee_is_credit": false,
   "included_usd": null,
   "per_seat": null,
   "concurrency": null,
   "max_session_h": null,
   "max_vcpu": null,
   "max_ram_gib": null,
   "sizes_allowed": null,
   "note": ""
  }
 ],
 "free": {
  "monthly_credit": null,
  "one_time_credit": null
 },
 "features": {
  "linux": null,
  "windows": false,
  "macos": false,
  "arm64": null,
  "gpu": true,
  "snapshot": "none",
  "pause_resume": false,
  "fork": false,
  "persistent_disk": false,
  "volumes": null,
  "auto_stop_idle": false,
  "max_session_h": null,
  "custom_image": null,
  "docker_inside": null,
  "nested_virt": false,
  "root": null,
  "systemd": null,
  "browser": false,
  "desktop": false,
  "computer_use": false,
  "code_interpreter": null,
  "agent_harnesses": false,
  "ssh": false,
  "public_ipv4": false,
  "inbound_https": false,
  "custom_domain": null,
  "raw_tcp_inbound": null,
  "egress_allowlist": false,
  "static_egress_ip": false,
  "private_network": null,
  "self_host": false,
  "byoc": false,
  "open_source": false,
  "soc2": null,
  "hipaa": null,
  "sso": false,
  "gpu_types": [],
  "regions": null,
  "lang_python": null,
  "lang_node": null,
  "lang_go": null,
  "lang_rust": null,
  "lang_java": null,
  "gpu_desktop": null,
  "credential_injection": null,
  "egress_http_rules": false,
  "wake_on_request": false,
  "live_resize": false,
  "fork_running": false,
  "memory_snapshot_fork": false,
  "webhooks": null,
  "scheduled_wakeups": null,
  "audit_logs": null,
  "eu_data_residency": null,
  "zero_data_retention": null,
  "scoped_api_keys": null,
  "spend_limits": null,
  "mcp_server": false,
  "anti_bot": false,
  "captcha_solving": false,
  "harness_api": false,
  "own_agent_api": false,
  "ingress_rules": false,
  "secret_proxy": false,
  "snapshot_auto": false,
  "snapshot_on_demand": false,
  "volume_attach": false,
  "volume_shared": false,
  "image_oci": false,
  "usage_api": false
 },
 "perf": {
  "cpu_runs_s": null,
  "cold_start_ms": null,
  "burst_tti_ms": null,
  "dax_s": null
 },
 "caveats": [
  "Pre-launch / sales-led: official site describes a distributed runtime (built by ex-Ray tech leads) on the cheapest CPUs and GPUs across hyperscalers and neoclouds, using spot instances across regions and providers, 'targeting' 100-50,000 CPU+GPU node clusters. Only CTA is 'Schedule a Call'. No pricing (/pricing 404), no docs, no console, no self-serve signup. Not a sandbox/VM product.",
  "Null values mean unknown, not free/unlimited. No model-token cost, tax or unverified ancillary charge included.",
  "Native browser/device/task/credit prices with unknown CPU/RAM are deliberately non-priceable. Check regime before interpreting any partial resource estimate.",
  "Official site says the underlying capacity is spot instances across regions and providers (interruptible)."
 ],
 "sources": [
  "https://www.ycombinator.com/companies/zibra-labs",
  "https://zibralabs.ai/"
 ],
 "fleet": {
  "default_max_instances": null,
  "default_max_vcpu": null,
  "default_max_gpus": null,
  "raise": "sales",
  "raise_time_days": null,
  "verification": null,
  "tiers": null,
  "notes": "Official site asks prospective large-compute customers to schedule a call. Target scale of 100–50,000 nodes is a product ambition, not a fresh-account entitlement. Default quota, verification and review timing unpublished.",
  "sources": [
   "https://zibralabs.ai/"
  ],
  "researched": "2026-09-28"
 },
 "audit_2026_09_29": {
  "applied": 1,
  "source": "checked against the provider's live pricing and docs pages",
  "reviewed": 2
 },
 "feature_evidence": {
  "desktop": {
   "value": false,
   "source": "https://zibralabs.ai/",
   "quote": "We build distributed compute clusters with the cheapest CPUs and GPUs across Hyperscalers and Neoclouds for AI.",
   "note": "not offered: outside the product's scope",
   "checked": "2026-09-30"
  },
  "browser": {
   "value": false,
   "source": "https://zibralabs.ai/",
   "quote": "We started with backtesting, but the same engine runs any massively parallel compute workload",
   "note": "not offered: outside the product's scope",
   "checked": "2026-09-30"
  },
  "computer_use": {
   "value": false,
   "source": "https://zibralabs.ai/",
   "quote": "We build distributed compute clusters with the cheapest CPUs and GPUs across Hyperscalers and Neoclouds for AI.",
   "note": "not offered: outside the product's scope",
   "checked": "2026-09-30"
  },
  "anti_bot": {
   "value": false,
   "source": "https://zibralabs.ai/",
   "quote": "We build distributed compute clusters with the cheapest CPUs and GPUs across Hyperscalers and Neoclouds for AI.",
   "note": "not offered: outside the product's scope",
   "checked": "2026-09-30"
  },
  "captcha_solving": {
   "value": false,
   "source": "https://zibralabs.ai/",
   "quote": "We build distributed compute clusters with the cheapest CPUs and GPUs across Hyperscalers and Neoclouds for AI.",
   "note": "not offered: outside the product's scope",
   "checked": "2026-09-30"
  },
  "wake_on_request": {
   "value": false,
   "source": "https://zibralabs.ai/",
   "quote": "Massively parallel simulation. Backtesting and other large parameter sweeps that fan out across tens of thousands of nodes.",
   "note": "not offered: outside the product's scope (batch compute cluster product, not a request-driven sandbox)",
   "checked": "2026-09-30"
  },
  "agent_harnesses": {
   "value": false,
   "source": "https://zibralabs.ai/",
   "quote": "Long-horizon agents. Agentic workloads with high tool use that run for hours and coordinate across many calls.",
   "note": "not offered: outside the product's scope; no coding-agent templates/harnesses mentioned",
   "checked": "2026-09-30"
  },
  "harness_api": {
   "value": false,
   "source": "https://zibralabs.ai/",
   "quote": "We build distributed compute clusters with the cheapest CPUs and GPUs across Hyperscalers and Neoclouds for AI.",
   "note": "not offered: outside the product's scope",
   "checked": "2026-09-30"
  },
  "own_agent_api": {
   "value": false,
   "source": "https://zibralabs.ai/",
   "quote": "We build distributed compute clusters with the cheapest CPUs and GPUs across Hyperscalers and Neoclouds for AI.",
   "note": "not offered: outside the product's scope",
   "checked": "2026-09-30"
  },
  "mcp_server": {
   "value": false,
   "source": "https://zibralabs.ai/",
   "quote": "We build distributed compute clusters with the cheapest CPUs and GPUs across Hyperscalers and Neoclouds for AI.",
   "note": "not offered: outside the product's scope; no docs, console, or SDK published at all",
   "checked": "2026-09-30"
  },
  "inbound_https": {
   "value": false,
   "source": "https://zibralabs.ai/",
   "quote": "Massively parallel simulation... Batch and high-volume inference across heterogeneous, lowest-cost accelerators.",
   "note": "not offered: outside the product's scope (batch compute dispatch product, not an app-hosting/ingress product)",
   "checked": "2026-09-30"
  },
  "ingress_rules": {
   "value": false,
   "source": "https://zibralabs.ai/",
   "quote": "We build distributed compute clusters with the cheapest CPUs and GPUs across Hyperscalers and Neoclouds for AI.",
   "note": "not offered: outside the product's scope",
   "checked": "2026-09-30"
  },
  "secret_proxy": {
   "value": false,
   "source": "https://zibralabs.ai/",
   "quote": "We build distributed compute clusters with the cheapest CPUs and GPUs across Hyperscalers and Neoclouds for AI.",
   "note": "not offered: outside the product's scope; no credential-injection/proxy feature published",
   "checked": "2026-09-30"
  },
  "windows": {
   "value": false,
   "source": "https://zibralabs.ai/",
   "quote": "We build distributed compute clusters with the cheapest CPUs and GPUs across Hyperscalers and Neoclouds for AI.",
   "note": "not offered: outside the product's scope; product targets Linux-based CPU/GPU batch compute clusters",
   "checked": "2026-09-30"
  },
  "macos": {
   "value": false,
   "source": "https://zibralabs.ai/",
   "quote": "We build distributed compute clusters with the cheapest CPUs and GPUs across Hyperscalers and Neoclouds for AI.",
   "note": "not offered: outside the product's scope",
   "checked": "2026-09-30"
  },
  "self_host": {
   "value": false,
   "source": "https://zibralabs.ai/",
   "quote": "We build distributed compute clusters with the cheapest CPUs and GPUs across Hyperscalers and Neoclouds for AI.",
   "note": "not offered: managed/sales-led service, no self-host option mentioned",
   "checked": "2026-09-30"
  },
  "open_source": {
   "value": false,
   "source": "https://zibralabs.ai/",
   "quote": "After LinkedIn, we were tech leads of Ray, the open-source compute platform... Ray has roughly 12 million weekly downloads and is a PyTorch Foundation project.",
   "note": "Founders built the open-source Ray project previously, but Zibra Labs' own runtime is not stated to be open source.",
   "checked": "2026-09-30"
  },
  "ssh": {
   "value": false,
   "source": "https://zibralabs.ai/",
   "quote": "We build distributed compute clusters with the cheapest CPUs and GPUs across Hyperscalers and Neoclouds for AI.",
   "note": "not offered: outside the product's scope (a managed distributed task/compute engine reached via sales call, not a user-facing sandbox/VM with SSH access)",
   "checked": "2026-09-30"
  },
  "snapshot": {
   "value": "none",
   "source": "https://zibralabs.ai/",
   "quote": "We build distributed compute clusters with the cheapest CPUs and GPUs across Hyperscalers and Neoclouds for AI.",
   "note": "not offered: outside the product's scope (task/cluster scheduling engine, not persistent VMs with snapshot/restore)",
   "checked": "2026-09-30"
  },
  "snapshot_auto": {
   "value": false,
   "source": "https://zibralabs.ai/",
   "quote": "We build distributed compute clusters with the cheapest CPUs and GPUs across Hyperscalers and Neoclouds for AI.",
   "note": "not offered: outside the product's scope",
   "checked": "2026-09-30"
  },
  "snapshot_on_demand": {
   "value": false,
   "source": "https://zibralabs.ai/",
   "quote": "We build distributed compute clusters with the cheapest CPUs and GPUs across Hyperscalers and Neoclouds for AI.",
   "note": "not offered: outside the product's scope",
   "checked": "2026-09-30"
  },
  "fork": {
   "value": false,
   "source": "https://zibralabs.ai/",
   "quote": "We build distributed compute clusters with the cheapest CPUs and GPUs across Hyperscalers and Neoclouds for AI.",
   "note": "not offered: outside the product's scope (no notion of a single machine to clone)",
   "checked": "2026-09-30"
  },
  "fork_running": {
   "value": false,
   "source": "https://zibralabs.ai/",
   "quote": "We build distributed compute clusters with the cheapest CPUs and GPUs across Hyperscalers and Neoclouds for AI.",
   "note": "not offered: outside the product's scope",
   "checked": "2026-09-30"
  },
  "memory_snapshot_fork": {
   "value": false,
   "source": "https://zibralabs.ai/",
   "quote": "We build distributed compute clusters with the cheapest CPUs and GPUs across Hyperscalers and Neoclouds for AI.",
   "note": "not offered: outside the product's scope",
   "checked": "2026-09-30"
  },
  "pause_resume": {
   "value": false,
   "source": "https://zibralabs.ai/",
   "quote": "We build distributed compute clusters with the cheapest CPUs and GPUs across Hyperscalers and Neoclouds for AI.",
   "note": "not offered: outside the product's scope (tasks run to completion on a scheduling engine, not a pausable single machine)",
   "checked": "2026-09-30"
  },
  "persistent_disk": {
   "value": false,
   "source": "https://zibralabs.ai/",
   "quote": "Massively parallel simulation. Backtesting and other large parameter sweeps that fan out across tens of thousands of nodes.",
   "note": "not offered: outside the product's scope (ephemeral distributed task nodes, not a persistent single machine)",
   "checked": "2026-09-30"
  },
  "volume_attach": {
   "value": false,
   "source": "https://zibralabs.ai/",
   "quote": "Massively parallel simulation. Backtesting and other large parameter sweeps that fan out across tens of thousands of nodes.",
   "note": "not offered: outside the product's scope",
   "checked": "2026-09-30"
  },
  "volume_shared": {
   "value": false,
   "source": "https://zibralabs.ai/",
   "quote": "Massively parallel simulation. Backtesting and other large parameter sweeps that fan out across tens of thousands of nodes.",
   "note": "not offered: outside the product's scope",
   "checked": "2026-09-30"
  },
  "auto_stop_idle": {
   "value": false,
   "source": "https://zibralabs.ai/",
   "quote": "We build distributed compute clusters with the cheapest CPUs and GPUs across Hyperscalers and Neoclouds for AI.",
   "note": "not offered: outside the product's scope (no persistent addressable machine to idle-stop)",
   "checked": "2026-09-30"
  },
  "live_resize": {
   "value": false,
   "source": "https://zibralabs.ai/",
   "quote": "We build distributed compute clusters with the cheapest CPUs and GPUs across Hyperscalers and Neoclouds for AI.",
   "note": "not offered: outside the product's scope",
   "checked": "2026-09-30"
  },
  "public_ipv4": {
   "value": false,
   "source": "https://zibralabs.ai/",
   "quote": "We build distributed compute clusters with the cheapest CPUs and GPUs across Hyperscalers and Neoclouds for AI.",
   "note": "not offered: outside the product's scope (task/cluster engine, not user-addressable machines)",
   "checked": "2026-09-30"
  },
  "byoc": {
   "value": false,
   "source": "https://zibralabs.ai/",
   "quote": "We build distributed compute clusters with the cheapest CPUs and GPUs across Hyperscalers and Neoclouds for AI.",
   "note": "not offered: the service aggregates capacity across hyperscalers/neoclouds itself rather than deploying into the customer's own cloud account",
   "checked": "2026-09-30"
  },
  "image_oci": {
   "value": false,
   "source": "https://zibralabs.ai/",
   "quote": "We build distributed compute clusters with the cheapest CPUs and GPUs across Hyperscalers and Neoclouds for AI.",
   "note": "not offered: outside the product's scope; no docs, console, or SDK published, no mention of starting from a custom OCI/Docker image",
   "checked": "2026-09-30"
  },
  "nested_virt": {
   "value": false,
   "source": "https://zibralabs.ai/",
   "quote": "We build distributed compute clusters with the cheapest CPUs and GPUs across Hyperscalers and Neoclouds for AI.",
   "note": "not offered: outside the product's scope; a batch task-dispatch engine for simulation/RL/inference workloads, not a VM product exposing /dev/kvm",
   "checked": "2026-09-30"
  },
  "egress_allowlist": {
   "value": false,
   "source": "https://zibralabs.ai/",
   "quote": "We build distributed compute clusters with the cheapest CPUs and GPUs across Hyperscalers and Neoclouds for AI.",
   "note": "not offered: outside the product's scope; no console/docs exposing any network security controls",
   "checked": "2026-09-30"
  },
  "egress_http_rules": {
   "value": false,
   "source": "https://zibralabs.ai/",
   "quote": "We build distributed compute clusters with the cheapest CPUs and GPUs across Hyperscalers and Neoclouds for AI.",
   "note": "not offered: outside the product's scope; no docs, console, or SDK published at all",
   "checked": "2026-09-30"
  },
  "static_egress_ip": {
   "value": false,
   "source": "https://zibralabs.ai/",
   "quote": "Spot Instances. Across regions and providers.",
   "note": "not offered: capacity is explicitly spot instances fanned out across many regions/providers, which is inherently incompatible with a fixed outbound IP; no such feature is published",
   "checked": "2026-09-30"
  },
  "sso": {
   "value": false,
   "source": "https://zibralabs.ai/",
   "quote": "We build distributed compute clusters with the cheapest CPUs and GPUs across Hyperscalers and Neoclouds for AI.",
   "note": "not offered: outside the product's scope; no console/login product exists at all (site only offers scheduling a sales call)",
   "checked": "2026-09-30"
  },
  "usage_api": {
   "value": false,
   "source": "https://zibralabs.ai/",
   "quote": "We build distributed compute clusters with the cheapest CPUs and GPUs across Hyperscalers and Neoclouds for AI. Only CTA is Schedule a Call; no pricing page, no docs, no console, no self-serve signup.",
   "note": "granularity: none; cost: no; Pre-launch, sales-led product. No published API, SDK, or documentation for usage reporting. Batch compute cluster engine, not a sandbox/VM product with per-instance tracking.",
   "confidence": "high",
   "checked": "2026-10-01"
  }
 },
 "locations": [],
 "locations_source": "https://zibralabs.ai/",
 "locations_quote": "We build distributed compute clusters with the cheapest CPUs and GPUs across Hyperscalers and Neoclouds for AI. Official site says the underlying capacity is spot instances across regions and providers (interruptible).",
 "locations_checked": "2026-10-01"
}