{
  "company": {
    "name": "Nixtla",
    "website": "https://nixtla.io/",
    "record": "https://startuphistory.org/c/nixtla.io"
  },
  "status": null,
  "history_since": "2022-10-24T02:49:14.000Z",
  "baseline": {
    "snapshot_id": "db1c021f90d8b61afd520b5882fc1e2440b3e4376bea351b4a61d42c4a56929c",
    "observed_at": "2022-10-24T02:49:14.000Z",
    "headline": "State-of-the-art forecasting",
    "description": "Deploy your pipeline in minutes. Use statistical and deep learning algorithms for time series analysis like demand forecasting, anomaly detection, IoT, predictive maintenance, peak avoidance, and infr",
    "evidence": "https://web.archive.org/web/20221024024914/https://www.nixtla.io/",
    "evidence_kind": "internet_archive",
    "facts": {
      "version": 1,
      "pages": [
        {
          "page": "home",
          "customers": [],
          "investors": [
            "Google",
            "Meru Capital",
            "Alumni Ventures",
            "Techstars in white",
            "BrainFund in white",
            "Meta in white",
            "Lyft",
            "Nvidia",
            "Snorkel",
            "Huggin Face",
            "Twilio",
            "NGINX Inc",
            "Pycon 2020",
            "Data Ai Summit",
            "Data Days",
            "Towards Data Science",
            "GithHub in white",
            "Linked in in white",
            "@nixtlainc",
            "Slack"
          ],
          "prices": [],
          "compliance": [],
          "funding": []
        }
      ]
    },
    "basis": "first_observation",
    "is_change": false
  },
  "live_captures": 1,
  "last_checked": "2026-11-06T17:49:46.599Z",
  "live_status": null,
  "messaging": [
    {
      "quote_observed_at": "2023-03-22T12:02:21.000Z",
      "variants": [
        {
          "headline": "State-of-the-art forecasting",
          "subhead": "Deploy your pipeline in minutes. Use statistical and deep learning algorithms for time series analysis like demand forecasting, anomaly detection, IoT, predictive maintenance, peak avoidance, and infr",
          "observed_at": "2022-10-24T02:49:14.000Z",
          "evidence": "https://web.archive.org/web/20221024024914/https://www.nixtla.io/",
          "evidence_kind": "internet_archive"
        },
        {
          "headline": "Nixtla | State of the art forecasting",
          "subhead": "Deploy your pipeline in minutes. Use statistical and deep learning algorithms for time series analysis like demand forecasting, anomaly detection, IoT, predictive maintenance, peak avoidance, and infr",
          "observed_at": "2023-03-22T12:02:21.000Z",
          "evidence": "https://web.archive.org/web/20230322120221/https://www.nixtla.io/",
          "evidence_kind": "internet_archive"
        }
      ],
      "headline": "Nixtla | State of the art forecasting",
      "subhead": "Deploy your pipeline in minutes. Use statistical and deep learning algorithms for time series analysis like demand forecasting, anomaly detection, IoT, predictive maintenance, peak avoidance, and infr",
      "from": "2022-10-24T02:49:14.000Z",
      "to": "2023-03-22T12:02:21.000Z",
      "captures": 2,
      "evidence": "https://web.archive.org/web/20230322120221/https://www.nixtla.io/",
      "evidence_kind": "internet_archive",
      "seen": {
        "between": {
          "from": "2022-10-24T02:49:14.000Z",
          "to": "2023-03-22T12:02:21.000Z"
        }
      },
      "current": false
    },
    {
      "quote_observed_at": "2025-01-16T11:00:03.000Z",
      "variants": [
        {
          "headline": "A future for everybody. Time series research and deployment.",
          "subhead": "Nixtla democratizes access to state-of-the-art predictive insights. With Nixtla, you can implement cutting-edge forecasting and advanced anomaly detection, irrespective of your team's size or technica",
          "observed_at": "2023-11-28T04:30:06.000Z",
          "evidence": "https://web.archive.org/web/20231128043006/https://www.nixtla.io/",
          "evidence_kind": "internet_archive"
        },
        {
          "headline": "A future for everybody. Time series research and deployment.",
          "subhead": "Nixtla democratizes access to state-of-the-art predictive insights. With Nixtla, you can implement cutting-edge forecasting and advanced anomaly detection, irrespective of your team's size or technica",
          "observed_at": "2024-02-21T04:05:51.000Z",
          "evidence": "https://web.archive.org/web/20240221040551/https://www.nixtla.io/",
          "evidence_kind": "internet_archive"
        },
        {
          "headline": "A future for everybody. Time series research and deployment.",
          "subhead": "Nixtla democratizes access to state-of-the-art predictive insights. With Nixtla, you can implement cutting-edge forecasting and advanced anomaly detection, irrespective of your team's size or technica",
          "observed_at": "2024-08-30T11:17:20.000Z",
          "evidence": "https://web.archive.org/web/20240830111720/https://www.nixtla.io/",
          "evidence_kind": "internet_archive"
        },
        {
          "headline": "A future for everybody. Time series research and deployment.",
          "subhead": "Nixtla democratizes access to state-of-the-art predictive insights. With Nixtla, you can implement cutting-edge forecasting and advanced anomaly detection, irrespective of your team's size or technica",
          "observed_at": "2025-01-16T11:00:03.000Z",
          "evidence": "https://web.archive.org/web/20250116110003/https://www.nixtla.io/",
          "evidence_kind": "internet_archive"
        }
      ],
      "headline": "A future for everybody. Time series research and deployment.",
      "subhead": "Nixtla democratizes access to state-of-the-art predictive insights. With Nixtla, you can implement cutting-edge forecasting and advanced anomaly detection, irrespective of your team's size or technica",
      "from": "2023-11-28T04:30:06.000Z",
      "to": "2025-01-16T11:00:03.000Z",
      "captures": 4,
      "evidence": "https://web.archive.org/web/20250116110003/https://www.nixtla.io/",
      "evidence_kind": "internet_archive",
      "seen": {
        "between": {
          "from": "2023-11-28T04:30:06.000Z",
          "to": "2025-01-16T11:00:03.000Z"
        }
      },
      "current": false
    },
    {
      "quote_observed_at": "2026-01-05T03:32:13.000Z",
      "variants": [
        {
          "headline": "Forecasting & Anomaly Detection",
          "subhead": "Font System for Nixtla",
          "observed_at": "2025-07-15T23:11:44.000Z",
          "evidence": "https://web.archive.org/web/20250715231144/https://www.nixtla.io/",
          "evidence_kind": "internet_archive"
        },
        {
          "headline": "Enterprise AI Forecasting",
          "subhead": "Forecasting & Anomaly Detection: accurate predictions and detect anomalies with Nixtla's industry-leading solutions",
          "observed_at": "2026-01-05T03:32:13.000Z",
          "evidence": "https://web.archive.org/web/20260105033213/https://www.nixtla.io/",
          "evidence_kind": "internet_archive"
        }
      ],
      "headline": "Enterprise AI Forecasting",
      "subhead": "Forecasting & Anomaly Detection: accurate predictions and detect anomalies with Nixtla's industry-leading solutions",
      "from": "2025-07-15T23:11:44.000Z",
      "to": "2026-01-05T03:32:13.000Z",
      "captures": 2,
      "evidence": "https://web.archive.org/web/20260105033213/https://www.nixtla.io/",
      "evidence_kind": "internet_archive",
      "seen": {
        "between": {
          "from": "2025-07-15T23:11:44.000Z",
          "to": "2026-01-05T03:32:13.000Z"
        }
      },
      "current": false
    },
    {
      "quote_observed_at": "2026-11-06T17:49:46.599Z",
      "variants": [
        {
          "headline": "One engine to predict sales, demand, energy markets, financial indicators, user engagement, asset prices, and anomalies One engine to predict sales",
          "subhead": "Enterprise-grade time series forecasting and anomaly detection. Accurate predictions powered by Nixtla's industry-leading AI solutions.",
          "observed_at": "2026-07-07T10:33:54.000Z",
          "evidence": "https://web.archive.org/web/20260707103354/https://www.nixtla.io/",
          "evidence_kind": "internet_archive"
        },
        {
          "headline": "One engine to predict sales, demand, energy markets, financial indicators, user engagement, asset prices, and anomalies Oneenginetopredictsales",
          "subhead": "Enterprise-grade time series forecasting and anomaly detection. Accurate predictions powered by Nixtla's industry-leading AI solutions.",
          "observed_at": "2026-11-06T17:49:46.599Z",
          "evidence": "https://www.nixtla.io/",
          "evidence_kind": "live_capture"
        }
      ],
      "headline": "One engine to predict sales, demand, energy markets, financial indicators, user engagement, asset prices, and anomalies Oneenginetopredictsales",
      "subhead": "Enterprise-grade time series forecasting and anomaly detection. Accurate predictions powered by Nixtla's industry-leading AI solutions.",
      "from": "2026-07-07T10:33:54.000Z",
      "to": "2026-11-06T17:49:46.599Z",
      "captures": 2,
      "evidence": "https://www.nixtla.io/",
      "evidence_kind": "live_capture",
      "seen": {
        "between": {
          "from": "2026-07-07T10:33:54.000Z",
          "to": "2026-11-06T17:49:46.599Z"
        }
      },
      "current": true
    }
  ],
  "changes": [
    {
      "n": 1,
      "id": "page-f0d0f38f56e42924336716888a78a8b6e335dff020ae8628a44927eba979de05:7cbb2ee8a031b415d8ae0f63de89abd4d22a51d6bc275555f91349dd802e28ee:gtm:71fb5032b8ee999a",
      "before_evidence": "https://web.archive.org/web/20240221040551/https://www.nixtla.io/",
      "before_evidence_kind": "internet_archive",
      "kind": "gtm",
      "label": "Go-to-market",
      "summary": "Closed its waitlist and opened sign-up.",
      "between": {
        "from": "2024-02-21T04:05:51.000Z",
        "to": "2024-08-30T11:17:20.000Z"
      },
      "evidence": "https://web.archive.org/web/20240830111720/https://www.nixtla.io/",
      "evidence_kind": "internet_archive",
      "basis": "page_facts",
      "topic": "https://startuphistory.org/t/opened-sign-up"
    },
    {
      "n": 2,
      "id": "page-f0d0f38f56e42924336716888a78a8b6e335dff020ae8628a44927eba979de05:7cbb2ee8a031b415d8ae0f63de89abd4d22a51d6bc275555f91349dd802e28ee:gtm:74f755ba679ab708",
      "before_evidence": "https://web.archive.org/web/20240221040551/https://www.nixtla.io/",
      "before_evidence_kind": "internet_archive",
      "kind": "gtm",
      "label": "Go-to-market",
      "summary": "Added a free sign-up or free trial.",
      "between": {
        "from": "2024-02-21T04:05:51.000Z",
        "to": "2024-08-30T11:17:20.000Z"
      },
      "evidence": "https://web.archive.org/web/20240830111720/https://www.nixtla.io/",
      "evidence_kind": "internet_archive",
      "basis": "page_facts",
      "topic": "https://startuphistory.org/t/added-free-trial"
    },
    {
      "n": 3,
      "id": "page-fbde38bf86da9f66b84bf0e456f4e08c8f7325d2795bd9e24b85a13d888fbe7f:e9594ba2a7e2cf29cbfb188c8b4b38d1bfe0ada157b1f8aa1f8f6d73804f702b:customers_added:148d4367c80042ad",
      "before_evidence": "https://web.archive.org/web/20250116110003/https://www.nixtla.io/",
      "before_evidence_kind": "internet_archive",
      "kind": "customers_added",
      "label": "New customers",
      "summary": "Added customer logos to its homepage: Microsoft, Decathlon, Prudential, Spherecast and H2o.",
      "between": {
        "from": "2025-01-16T11:00:03.000Z",
        "to": "2025-07-15T23:11:44.000Z"
      },
      "evidence": "https://web.archive.org/web/20250715231144/https://www.nixtla.io/",
      "evidence_kind": "internet_archive",
      "basis": "page_facts",
      "topic": "https://startuphistory.org/t/added-customer-logos"
    },
    {
      "n": 4,
      "id": "page-fbde38bf86da9f66b84bf0e456f4e08c8f7325d2795bd9e24b85a13d888fbe7f:e9594ba2a7e2cf29cbfb188c8b4b38d1bfe0ada157b1f8aa1f8f6d73804f702b:headline:9dcdc372aa8438fc",
      "before_evidence": "https://web.archive.org/web/20250116110003/https://www.nixtla.io/",
      "before_evidence_kind": "internet_archive",
      "kind": "headline",
      "label": "Headline",
      "summary": "Changed its homepage headline from “A future for everybody. Time series research and deployment.” to “Forecasting & Anomaly Detection”.",
      "between": {
        "from": "2025-01-16T11:00:03.000Z",
        "to": "2025-07-15T23:11:44.000Z"
      },
      "evidence": "https://web.archive.org/web/20250715231144/https://www.nixtla.io/",
      "evidence_kind": "internet_archive",
      "basis": "page_facts",
      "topic": null
    },
    {
      "n": 5,
      "id": "page-e9594ba2a7e2cf29cbfb188c8b4b38d1bfe0ada157b1f8aa1f8f6d73804f702b:955d26e23d9ebc979aba9f1b3f1f6831f8599e13f110c97b0181b69752dea177:customers_added:dc1e9438657a6ad2",
      "before_evidence": "https://web.archive.org/web/20250715231144/https://www.nixtla.io/",
      "before_evidence_kind": "internet_archive",
      "kind": "customers_added",
      "label": "New customers",
      "summary": "Added customer logos to its homepage: Gridstor, IMSS, Darnytsia, Grab, Oizom and Flieber.",
      "between": {
        "from": "2025-07-15T23:11:44.000Z",
        "to": "2026-01-05T03:32:13.000Z"
      },
      "evidence": "https://web.archive.org/web/20260105033213/https://www.nixtla.io/",
      "evidence_kind": "internet_archive",
      "basis": "page_facts",
      "topic": "https://startuphistory.org/t/added-customer-logos"
    },
    {
      "n": 6,
      "id": "page-e9594ba2a7e2cf29cbfb188c8b4b38d1bfe0ada157b1f8aa1f8f6d73804f702b:955d26e23d9ebc979aba9f1b3f1f6831f8599e13f110c97b0181b69752dea177:headline:8a6571eba0e5f69b",
      "before_evidence": "https://web.archive.org/web/20250715231144/https://www.nixtla.io/",
      "before_evidence_kind": "internet_archive",
      "kind": "headline",
      "label": "Headline",
      "summary": "Changed its homepage headline from “Forecasting & Anomaly Detection” to “Enterprise AI Forecasting”.",
      "between": {
        "from": "2025-07-15T23:11:44.000Z",
        "to": "2026-01-05T03:32:13.000Z"
      },
      "evidence": "https://web.archive.org/web/20260105033213/https://www.nixtla.io/",
      "evidence_kind": "internet_archive",
      "basis": "page_facts",
      "topic": null
    },
    {
      "n": 7,
      "id": "page-e9594ba2a7e2cf29cbfb188c8b4b38d1bfe0ada157b1f8aa1f8f6d73804f702b:955d26e23d9ebc979aba9f1b3f1f6831f8599e13f110c97b0181b69752dea177:compliance:0b0a6b90f8e7165b",
      "before_evidence": "https://web.archive.org/web/20250715231144/https://www.nixtla.io/",
      "before_evidence_kind": "internet_archive",
      "kind": "compliance",
      "label": "Compliance",
      "summary": "Now states HIPAA and SOC 2 compliance on its homepage.",
      "between": {
        "from": "2025-07-15T23:11:44.000Z",
        "to": "2026-01-05T03:32:13.000Z"
      },
      "evidence": "https://web.archive.org/web/20260105033213/https://www.nixtla.io/",
      "evidence_kind": "internet_archive",
      "basis": "page_facts",
      "topic": "https://startuphistory.org/t/added-soc-2"
    },
    {
      "n": 8,
      "id": "page-955d26e23d9ebc979aba9f1b3f1f6831f8599e13f110c97b0181b69752dea177:eaa7aa3e484748eda2182f429ead962cfc3619223015bdb53843e3378b110ac4:customers_added:8f31bf2ddadcab1f",
      "before_evidence": "https://web.archive.org/web/20260105033213/https://www.nixtla.io/",
      "before_evidence_kind": "internet_archive",
      "kind": "customers_added",
      "label": "New customers",
      "summary": "Added customer logos to its homepage: Nestlé, Unilever, Lyft, Decathlon, Prudential, Bullish, Kia, Redrink and 6 more.",
      "between": {
        "from": "2026-01-05T03:32:13.000Z",
        "to": "2026-07-07T10:33:54.000Z"
      },
      "evidence": "https://web.archive.org/web/20260707103354/https://www.nixtla.io/",
      "evidence_kind": "internet_archive",
      "basis": "page_facts",
      "topic": "https://startuphistory.org/t/added-customer-logos"
    },
    {
      "n": 9,
      "id": "page-955d26e23d9ebc979aba9f1b3f1f6831f8599e13f110c97b0181b69752dea177:eaa7aa3e484748eda2182f429ead962cfc3619223015bdb53843e3378b110ac4:headline:38b1b03286770724",
      "before_evidence": "https://web.archive.org/web/20260105033213/https://www.nixtla.io/",
      "before_evidence_kind": "internet_archive",
      "kind": "headline",
      "label": "Headline",
      "summary": "Changed its homepage headline from “Enterprise AI Forecasting” to “One engine to predict sales, demand, energy markets, financial indicators, user engagement, asset prices, and anomalies One engine to pre…”.",
      "between": {
        "from": "2026-01-05T03:32:13.000Z",
        "to": "2026-07-07T10:33:54.000Z"
      },
      "evidence": "https://web.archive.org/web/20260707103354/https://www.nixtla.io/",
      "evidence_kind": "internet_archive",
      "basis": "page_facts",
      "topic": null
    },
    {
      "n": 10,
      "id": "page-eaa7aa3e484748eda2182f429ead962cfc3619223015bdb53843e3378b110ac4:9550ee6c4c4d3476888a8d3c713b21f9f35b94313db268718f168aad0f4e1a52:gtm:71fb5032b8ee999a",
      "before_evidence": "https://web.archive.org/web/20260707103354/https://www.nixtla.io/",
      "before_evidence_kind": "internet_archive",
      "kind": "gtm",
      "label": "Go-to-market",
      "summary": "Closed its waitlist and opened sign-up.",
      "between": {
        "from": "2026-07-07T10:33:54.000Z",
        "to": "2026-11-06T17:49:46.599Z"
      },
      "evidence": "https://www.nixtla.io/",
      "evidence_kind": "live_capture",
      "basis": "page_facts",
      "topic": "https://startuphistory.org/t/opened-sign-up"
    }
  ],
  "update": null,
  "method": {
    "version": "messaging-v1",
    "description": "https://startuphistory.org/method"
  },
  "license": "CC-BY-4.0",
  "cite": "StartupHistory, “Nixtla” company record, https://startuphistory.org/c/nixtla.io"
}