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SandboxAQIntegration

SandboxAQ Integrates its Quantitative AI Models with Anthropic's Claude via MCP.

What happened

SandboxAQ integrates with Anthropic.

Source

Article excerpt

Highlighted: the sentence this signal was extracted from

SandboxAQ Integrates its Quantitative AI Models with Anthropic's Claude via MCP. May 18, 2026, 09:00 ET Quantitative models in drug discovery, materials discovery, science and other sectors will now have much wider distribution via Claude PALO ALTO, Calif., May 18, 2026 /PRNewswire/ - SandboxAQ today announced the integration of its Large Quantitative Models (LQMs) with Claude, Anthropic's frontier AI model, making it possible to directly connect a large language model to a large quantitative model for drug discovery and materials science. Trained on real-world lab data and scientific equations, LQMs are AI models engineered for the quantitative economy, a $50+ trillion sector spanning biopharma, financial services, energy, and advanced materials. Until now, running the advanced models for new drug discovery and materials discovery required specialized scientists and the ability to write complex code. With Claude serving as a natural language interface to SandboxAQ's LQM platform, any user can access that same capability through plain-English prompts, moving faster from hypothesis to discovery, in the physical world. Built on Physics and the Real World SandboxAQ's LQMs are accelerating drug discovery and materials science, with active programs underway at major pharmaceutical companies and demonstrated advances in battery chemistry, catalysts, and alloys. A number of...

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Extracted by Autobound

From the Signal API record
Event
Integration

What this signalsA new integration often shows which tools the company builds around.

Location
Palo Alto, California, United States

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The full record

From the Signal API record

Extraction

Confidence
100%
Detected
May 18, 2026
signal_type
news
signal_subtype
integrates_with

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The API returns more than this page shows

This page shows a preview. The full news record in the Signal API and MCP can also have these 8 fields. Some fields are empty for some signals.

Company

  • linkedin_urlValue in the API
  • industriesValue in the API
  • employee_count_lowValue in the API
  • employee_count_highValue in the API
  • revenueValue in the API
  • descriptionValue in the API

Signal

  • signal_nameValue in the API
  • associationValue in the API
Show the full JSONThe record on this page and the API request

GET /v1/signals/1076032d-bbcf-414c-a19b-6b6a1b6d1464 returns this record as JSON. POST /v1/companies/enrich returns every signal for sandboxaq.com.

{
  "signal_id": "1076032d-bbcf-414c-a19b-6b6a1b6d1464",
  "signal_type": "news",
  "signal_subtype": "integrates_with",
  "detected_at": "2026-05-18T14:00:00+00:00",
  "company": {
    "name": "SandboxAQ",
    "domain": "sandboxaq.com"
  },
  "data": {
    "url": "https://www.prnewswire.com/news-releases/sandboxaq-integrates-its-quantitative-ai-models-with-anthropics-claude-via-mcp-302773174.html",
    "title": "SandboxAQ Integrates its Quantitative AI Models with Anthropic's Claude via MCP.",
    "excerpt": "SandboxAQ Integrates its Quantitative AI Models with Anthropic's Claude via MCP.\n\nMay 18, 2026, 09:00 ET\n\nQuantitative models in drug discovery, materials discovery, science and other sectors will now have much wider distribution via Claude\n\nPALO ALTO, Calif., May 18, 2026 /PRNewswire/ - SandboxAQ today announced the integration of its Large Quantitative Models (LQMs) with Claude, Anthropic's frontier AI model, making it possible to directly connect a large language model to a large quantitative model for drug discovery and materials science. Trained on real-world lab data and scientific equations, LQMs are AI models engineered for the quantitative economy, a $50+ trillion sector spanning biopharma, financial services, energy, and advanced materials.\n\nUntil now, running the advanced models for new drug discovery and materials discovery required specialized scientists and the ability to write complex code. With Claude serving as a natural language interface to SandboxAQ's LQM platform, any user can access that same capability through plain-English prompts, moving faster from hypothesis to discovery, in the physical world.\n\nBuilt on Physics and the Real World\n\nSandboxAQ's LQMs are accelerating drug discovery and materials science, with active programs underway at major pharmaceutical companies and demonstrated advances in battery chemistry, catalysts, and alloys. A number of...",
    "summary": "SandboxAQ integrates with Anthropic.",
    "location": "Palo Alto, California, United States, Northern America, Americas",
    "planning": false,
    "image_url": "https://mma.prnewswire.com/media/2372842/SandboxAQ_Accent_Color_Black_TM_Logo.jpg?p=facebook",
    "confidence": 1,
    "published_at": "2026-05-18T14:00:00Z",
    "location_data": [
      {
        "city": "Palo Alto",
        "state": "California",
        "region": "Northern America",
        "country": "United States",
        "continent": "Americas",
        "fuzzy_match": false
      }
    ],
    "article_sentence": "PALO ALTO, Calif., May 18, 2026 /PRNewswire/ - SandboxAQ today announced the integration of its Large Quantitative Models (LQMs) with Claude, Anthropic's frontier AI model, making it possible to directly connect a large language model to a large quantitative model for drug discovery and materials science.",
    "related_company_name": "Anthropic",
    "related_company_domain": "anthropic.com"
  }
}

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