Agentery pricing intelligence · Provider profile · Luma AI Co-scientist
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Luma AI Co-scientist logo

Luma AI Co-scientist

↗ dotmatics.com/luma official website

Manages, normalizes, and structures scientific R&D data and runs adaptive scientific workflows; provides AI-driven decision support for research

tool
Agentery price verdictNo pricing observed
Billing model—
Last observation9 Oct 2026pricing pages rechecked daily
Website liveness9 Oct 2026alive · separate from pricing

What it does

The specific capability behind this listing, and where to get it.

Luma AI Co-scientist

Manages, normalizes, and structures scientific R&D data and runs adaptive scientific workflows; provides AI-driven decision support for research

Multimodal scientific data from lab instruments and databases, structured and unstructured data, raw instrument data and metadata → Structured/analyzable data representations, insights, charts, dashboards, scientific visualizations, automated analysis
Luma Lab Connectlab instrumentsscientific software databasesDotmatics ELNGeneiousGraphPad PrismFCS Expressautonomy: workflow automation
Price status · observed daily

No public commercial pricing observed.

No price does not imply the product is free. Any code-host platform pricing is excluded.

Is Luma AI Co-scientist good value?

Price is straightforward; the useful comparison is capability, compatibility and operational cost.

No price benchmark

No public commercial pricing observed.

Agentery has not observed a public price for this provider. No price does not mean free.

Observed commercial pricenone
NicheAutonomous AI Research Lab
Price benchmarknot applicable
What to compare instead

Check capability before deciding

Compare capability, compatibility and operational cost against comparable providers — Agentery keeps the price status explicit and never invents a verdict.

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Luma AI Co-scientist's local market

Nearest products by what they do — a different cohort from the buyer-tier benchmark above.

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See the MCP response behind this page · get_provider_profile()
See the MCP response behind this pageget_provider_profile (get_agent_profile remains a callable alias)
{
  "agent_id": "dotmatics_luma",
  "name": "Luma AI Co-scientist",
  "url": "https://www.dotmatics.com/luma",
  "logo": "https://agentery.com/logos/CP-GFMWP6-128.png",
  "niche": "autonomous-ai-research-lab",
  "category": "research-knowledge-work",
  "short_summary": "Manages, normalizes, and structures scientific R&D data and runs adaptive scientific workflows; provides AI-driven decision support for research",
  "task_performed": "Manages, normalizes, and structures scientific R&D data and runs adaptive scientific workflows; provides AI-driven decision support for research",
  "inputs_accepted": [
    "Multimodal scientific data from lab instruments and databases",
    "structured and unstructured data",
    "raw instrument data and metadata"
  ],
  "outputs_produced": [
    "Structured/analyzable data representations",
    "insights",
    "charts",
    "dashboards",
    "scientific visualizations",
    "automated analysis"
  ],
  "integrations_available": [
    "Luma Lab Connect",
    "lab instruments",
    "scientific software databases",
    "Dotmatics ELN",
    "Geneious",
    "GraphPad Prism",
    "FCS Express"
  ],
  "protocols_or_interfaces": [],
  "industry_fit": [
    "life sciences R&D",
    "drug discovery",
    "pharma",
    "chemicals & materials",
    "biologics"
  ],
  "autonomy_level": "workflow automation",
  "human_approval_needed": "unclear",
  "pricing_model": "enterprise/contact sales",
  "price": {
    "observed": false,
    "billing": "not_found",
    "currency": null,
    "lowest_monthly_usd": null,
    "monthly_usd": null,
    "headline": "No public price found",
    "summary": "No public price found on the vendor site.",
    "confidence": "high",
    "source_url": "https://www.dotmatics.com/luma",
    "checked_at": "2026-10-04T02:47:36.961Z",
    "source_kind": "vendor",
    "amount": null,
    "display": null,
    "plans": [],
    "source": "render+llm"
  },
  "trust_or_rating_signal": [
    "customer story with US pharma organization (flow cytometry)",
    "CEO/VP media interviews",
    "case studies"
  ],
  "evidence_quality": "low",
  "entity_type": "tool",
  "regulated_data_suitability": "unclear",
  "evidence_urls": [
    "https://www.dotmatics.com/luma",
    "https://aiagentstore.ai/ai-agent-news/this-week"
  ],
  "last_checked": "2026-06-16",
  "how_to_connect": {
    "website": "https://www.dotmatics.com/luma",
    "docs": "https://aiagentstore.ai/developer",
    "mcp": null,
    "a2a": {
      "card_url": "https://aiagentstore.ai/.well-known/a2a.json"
    },
    "api": {
      "docs_url": "https://aiagentstore.ai/developer",
      "endpoint": null
    },
    "protocols": [],
    "install": null,
    "repository": null
  },
  "deployment": {
    "model": "unknown",
    "both_offered": false,
    "hosted_endpoint": null,
    "install": null,
    "note": "No deployment evidence held — Agentery has no endpoint, install instruction or directory attribute for this listing.",
    "evidence": null
  },
  "licence": {
    "name": null,
    "note": "No named licence found in the retained page text or source attributes. A public repository alone does not establish an open-source licence.",
    "evidence": null
  },
  "evidence_checks": {
    "price": {
      "status": "unknown",
      "note": "no observed price page text held for this listing"
    },
    "agent_card": {
      "status": "unknown",
      "note": "no Agent Card URL recorded for this listing"
    },
    "endpoint": {
      "status": "unknown",
      "note": "endpoint not yet checked"
    }
  },
  "product_group": null,
  "liveness": {
    "probed": true,
    "alive": true,
    "endpoint_kind": "site",
    "latency_ms": 592,
    "uptime_7d": 0.88,
    "checked_at": "2026-10-09T08:35:23.315Z",
    "consecutive_failures": 0,
    "status": "alive"
  },
  "price_extras": {
    "free_tier": null,
    "unit_cost": null
  },
  "reported_success": null,
  "feedback": "If you actually use this provider, call report_outcome with the result. Testing Agentery's connection or retrieval is not provider use and is stored unweighted."
}