Startup profile · funding coverage
Nebuly funding, valuation and investors
Enterprise AI analytics platform that measures agent adoption, task outcomes, business value and AI proficiency.
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Funding, valuation & investors
Answer-first snapshotLatest funding
Series A
$21M · November 12, 2026
Latest known valuation
Not publicly disclosed
Total disclosed equity funding
$21M
Excludes debt, grants, acquisitions, secondaries, and IPO proceeds.
Current status
private
series a · Turin, Italy and New York, USA
Investors in latest funding
Lead: Planven
Other: Exor Ventures , Tenacity Capital , TGVG Capital , Fastweb+Vodafone via Founders Factory , CDP Venture Capital SGR
Overview
Nebuly measures whether enterprise AI agents complete valuable work, comparing task outcomes and estimated time savings with licenses and operating costs. Its dashboards cover employee productivity, customer experience and usage proficiency; it can process data in a customer's private cloud or on premises. In its November 12, 2026 announcement Nebuly claimed multiple six-figure enterprise contracts and named several customers. These are issuer disclosures, not an independent audit of ROI.
Why Nebuly is interesting
Announced a $21M Series A on November 12, 2026, led by Planven. Nebuly sells independent measurement across employee and customer-facing AI agents rather than another model. The issuer names Oura, Iveco, CNH, Fastweb+Vodafone and Zeiss as customers, but contract values and verified causal ROI were not disclosed.
Product & use cases
Buyer: CIO, CFO, central AI platform team or customer-support leader. An illustrative deployment: (1) inventory internal copilots and customer agents, including ChatGPT, Claude, Copilot and custom tools; (2) connect interaction telemetry using native integrations or Nebuly's Interaction API; (3) classify user intents and task outcomes, with personal identifiers removed before analysis per vendor documentation; (4) configure cost and time-value assumptions, inspect ROI by team/agent and customer churn/upsell signals; (5) compare agent outcomes and prioritize training, fixes or license renewals. The product offers managed and self-hosted deployments; pricing is quote-based/not publicly disclosed. Dashboard example numbers are demonstrations, not audited customer savings.
- Finance teams audit the economic return of employee AI tools rather than equating prompt counts with output.
- CX teams identify unresolved requests and churn/upsell signals in customer-facing agent conversations.
- AI platform leads benchmark model/agent adoption and decide which deployments to expand, fix or retire.
Key facts
- $21M Series A announced November 12, 2026, led by Planven; amount reported by issuer in USD.
- Issuer names Oura, Iveco, Fastweb+Vodafone, CNH and Zeiss as customers and claims multiple six-figure contracts; no verified ARR disclosed.
- Supports employee and customer AI agents and on-premises/private-cloud deployment; prices not publicly posted.
Funding history (newest first)
Series A
2026-11-12 $21M- Planven (lead)
- Exor Ventures (participant)
- Tenacity Capital (participant)
- TGVG Capital (participant)
- Fastweb+Vodafone via Founders Factory (participant)
- CDP Venture Capital SGR (participant)
Source: Read source · nebuly.com
Competitive landscape
Edge: Cross-provider task-level economic measurement with self-hosted/private-cloud option. Actual realized savings depend on assumptions about time saved, quality and displaced work; customer anecdotes do not prove causal ROI.
Not a replacement for audited finance analytics: financial value can be overestimated when hypothetical time savings are counted as actual cash savings, and conversation analysis brings privacy, consent and instrumentation responsibilities. The vendor says it strips personal identifiers and supports deployments within customer-controlled infrastructure.
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Microsoft Copilot Analytics adjacent
Native Microsoft 365 AI adoption and productivity measurement but less cross-provider coverage.
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LangSmith adjacent
Engineering agent observability, evaluation and tracing rather than companywide CFO ROI measurement.
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Arize Phoenix adjacent
Open-source LLM tracing and evaluation, not a direct employee-efficiency accounting product.
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Datadog LLM Observability adjacent
Operational tracing and spend monitoring; business-value valuation generally requires extra modelling.
Notable stories
- Company announcement dated November 12, 2026: nebuly.com (external source)
- Product and self-hosted/ROI descriptions: nebuly.com (external source)
- Integration technical documentation: docs.nebuly.com (external source)
Market / IPO context
Editorial / static context — not a live quote.
Last updated:
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