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WireSift Research · AI Adoption Tracker · Q1 2026

RVTYRevvity, Inc.

AI revenue and adoption · Q1 2026 earnings call

Health CareScaling
AI mentions
15
extracted from this call
Max specificity
4 / 5
quantified with specifics
AI revenue
Disclosed
arr
AI was a central theme of Revvity's Q1 2026 call, addressed across three distinct dimensions: (1) AI as an external demand catalyst for the company's instruments, reagents, and software as customers use AI to accelerate drug discovery and require physical validation tools; (2) new AI-native software products (Xynthetica, BioDesign, LabGistics) being launched in 2026; and (3) a differentiated internal AI deployment across the global employee base using multiple LLMs at low cost, highlighted by a Gartner research paper. Management framed AI adoption in life sciences as analogous to early internet infrastructure build-out, positioning Revvity as a beneficiary of the downstream validation demand wave. Quantification of AI's financial impact remained limited, though SaaS/ARR metrics and product launch timelines were provided.
AI Revenue Disclosure
Growth
0.3
Method: arr
our SaaS pipeline continues to grow robustly with 40% ARR growth year-over-year leading to the business, again, growing double digits from an APV perspective.
Public Company AI Adoption Index
Hybrid
See full leaderboard →
Composite
70/ 100
#24 non-tech · #65 overall · #3 in Health Care
Depth · 40%
78
stage: scaling · max spec: 4
Disclosure · 40%
65
rev: arr +0.3% · 2 quant outcomes
Breadth · 20%
65
2 scopes
Adoption scopes:product_standaloneinternal_use
Every claim, sourced

15 AI mentions from this call.

Extracted verbatim from the RVTY Q1 2026 earnings call transcript. Speaker, section, and specificity tier surfaced for each mention.

  • T4Q&A· CFO· Standalone AI product
    Analyst questionparaphrased· Citi· Patrick Donnelly
    Max, on that business, I know there's some comp dynamics. So if you'd be able to talk through just the cadence of the software as we work our way through the year would be helpful.
    it was also encouraging in the first quarter, we continue to see robust growth from a SaaS and ARR perspective, and that was north of 30% in the quarter.
    Maxwell Krakowiak, RVTY earnings call
    ProductsSignals
  • T3Q&A· CEO· Internal use
    Analyst questionparaphrased· Leerink· Puneet Souda
    just wanted to understand a bit more about the AI corporate implementation. What are some of the steps there that you're taking that could yield sort of an immediate or near-term result? And how are you thinking about margin uplift from that this year?
    We've tried to use a much more structured approach and we are starting to see the benefits of it primarily around the software development component. It is enabling initiatives in the company. We are rolling out multiple leading LLMs to our total employee global -- global employee base. And the adoption rate is well above what we are seeing in terms of peers' metrics out there from corporate averages perspective. But I think most importantly, we are doing this at a fraction of a cost that you would see from traditional AI corporate implementation.
    Prahlad Singh, RVTY earnings call
  • T3Q&A· CEO· Standalone AI product
    Analyst questionparaphrased· Citi· Patrick Donnelly
    Can you just talk about the recent conversations with customers? I know you talked a lot about your offering with all the focus on that business.
    We announced the Lilly TuneLab partnership, which is a great launch path for Xynthetica, leveraging the ecosystem that Lilly brings to the table. But more importantly, I think as we talk to our big pharma biotech customers, the question really is not really how AI is going to impact, but how are we going to leverage AI in the development of the software into bringing Xynthetica early on.
    Prahlad Singh, RVTY earnings call
    PartnersEli Lilly, TuneLab
    ProductsXynthetica
  • T3Prepared remarks· CEO· Internal use
    The well-known research from Gartner recently published a research paper highlighting our internal AI deployment, which stands out across the industries that they've researched. They noted how our structured approach has accelerated software delivery and enable impactful initiatives that previously would not have been feasible.
    Prahlad Singh, RVTY earnings call
    PartnersGartner
  • T3Prepared remarks· CEO· Customer demand signal
    we have been seeing stronger demand for our high content screening portfolio, driven by increases in GLP-1 related research, new approach methodologies, including organ on chip development work and data generation for AI model creation and training, amongst other validation related work.
    Prahlad Singh, RVTY earnings call
    ProductsOpera Phenix OptIQ
  • T3Prepared remarks· CEO· Internal use
    With our unique rollout of multiple leading LLMs to the entirety of our global employee base, we are seeing employee adoption rates of AI well above corporate averages, and we are doing so at a fraction of the cost of traditional AI corporate implementations.
    Prahlad Singh, RVTY earnings call
  • T3Prepared remarks· CEO· Standalone AI product
    towards the end of this year, we'll introduce LabGistics, a novel AI-first drug discovery to drug development workflow offering, rounding out an impressive year of software innovation that demonstrates our ability to rapidly bring new capabilities to market.
    Prahlad Singh, RVTY earnings call
    ProductsLabGistics
  • T3Q&A· CEO· Standalone AI product
    Analyst questionparaphrased· Citi· Patrick Donnelly
    Can you just talk about the recent conversations with customers?
    the excitement level around Xynthetica, BioDesign, LabGistics, as you know, these are 3 of the biggest launches that could have happened in the software business, and all of them are coming in this year.
    Prahlad Singh, RVTY earnings call
    ProductsXynthetica, BioDesign, LabGistics
  • T3Prepared remarks· CEO· Standalone AI product
    In our Signals software business, we introduced Xynthetica in December, our AI models as a service platform that serves as a secure marketplace, collecting computational capabilities to wet lab research.
    Prahlad Singh, RVTY earnings call
    ProductsXynthetica, Signals
  • T2Prepared remarks· CEO· Customer demand signal
    As AI generates more promising therapeutic hypothesis at an unprecedented rate, the downstream demand for laboratory tools, reagents, and instruments to validate these discoveries will grow substantially. This inflection point sits squarely within Revvity's core strengths, providing the critical technologies that translate AI-driven insights into real-world biological validation.
    Prahlad Singh, RVTY earnings call
  • T2Prepared remarks· CEO· Customer demand signal
    Every AI-generated discovery will still require physical validation through wet lab experimentation. One cannot approve a drug based solely on computational predictions. It must be synthesized, tested, screened and validated through rigorous and laboratory work given that only a small fraction of human biology is well understood.
    Prahlad Singh, RVTY earnings call
  • T2Prepared remarks· CEO· Customer demand signal
    AI is dramatically accelerating scientific discovery, enabling researchers to identify and design exponentially more therapeutic compounds and biological targets than ever before. This acceleration means more discoveries to validate and more insights to unlock through physical experimentation than ever before.
    Prahlad Singh, RVTY earnings call
  • T2Prepared remarks· CEO· Customer demand signal
    This is another great example of one of our key product lines, which we believe will meaningfully benefit from increasing AI adoption by our customers in their preclinical R&D work.
    Prahlad Singh, RVTY earnings call
    ProductsOpera Phenix OptIQ
  • T2Q&A· CEO· Internal use
    Analyst questionparaphrased· Leerink· Puneet Souda
    how are you thinking about margin uplift from that this year?
    in the mid- to longer term, the cost-out impact that it will have on the business will be remarkable.
    Prahlad Singh, RVTY earnings call
  • T1Prepared remarks· CEO· Customer demand signal
    Today, we are in what would be called the infrastructure build-out phase, similar to the early days of the Internet, when companies were laying fiber optic cables and building foundational systems that would support the digital transformation. After that Internet infrastructure was established, we witnessed an explosion of value creation.
    Prahlad Singh, RVTY earnings call
Q&A Dynamics

What management wouldn’t quantify.

Analyst questions where management declined to share a specific number. The pattern of refusals is often as informative as the disclosures.

  1. No quantification of revenue or ARR attributable specifically to AI-native products (Xynthetica, BioDesign, LabGistics) despite multiple product launch announcements.
  2. Internal AI deployment described as cost-efficient and high-adoption but no specific cost savings, headcount impact, or productivity metrics disclosed beyond qualitative Gartner reference.
  3. No disclosure of capex or opex spend on internal AI infrastructure or LLM licensing costs.
  4. Analyst (Puneet Souda, Leerink) asked directly about margin uplift from internal AI implementation; management responded qualitatively ('cost-out impact will be remarkable in mid- to longer term') without providing a specific dollar or basis-point figure.
  5. No disclosure of which specific LLM providers are being deployed enterprise-wide despite mention of 'multiple leading LLMs'.
  6. No quantification of the share of instrument/reagent demand currently attributable to AI model training and data generation use cases, despite citing it as a demand driver for high content screening.
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Sourced from primary documents · See the methodology for the extraction approach.