Executives at Docebo NASDAQ: DCBO used the company’s Inspire event in Miami to outline a product strategy centered on what CEO Alessio Artuffo called the “agentic era,” while CFO Brandon Farber updated the company’s total addressable market (TAM) estimate and discussed trends in growth, profitability, and customer concentration.
Docebo positions its platform for an “agentic” shift
Artuffo argued that the rise of AI agents does not mean the end of software-as-a-service broadly, but rather creates pressure on “SaaS that’s built on shallow data and commoditized workflows.” He said Docebo’s advantage is its role as a system of record for learning and compliance data built over two decades, including learning histories, compliance records, and certification histories.
Artuffo said Docebo has seen usage of Docebo AI increase “300x over the past few months,” and highlighted three areas: AgentHub, Enterprise Knowledge, and an MCP server strategy.
According to Artuffo, AgentHub is designed to deliver proprietary agents that “reason, decide and act” on Docebo’s skills graph, evaluation signals, and enterprise knowledge, with capabilities that can include building courses, triaging compliance, and nudging learners—either autonomously or with “humans in the loop.” He also said Docebo is connecting to “20+ enterprise-grade systems” such as SharePoint, Confluence, Notion, Google Drive, Slack, Microsoft Teams, and various CRM and HRIS platforms to make knowledge accessible where it resides.
On MCP, Artuffo said Docebo can provide answers inside tools like Claude, ChatGPT, and Copilot, framing these assistants as “a distribution channel” for the company when employees ask about training, skills, or certification and the response is sourced from Docebo.
Artuffo contrasted “knowledge retrieval” with “workforce readiness,” arguing that compliance and validation require auditable records that cannot be substituted by search tools. “Docebo differently can prove that the employee… was trained on it” with “auditor-ready” records, he said, adding that Docebo’s design also serves external audiences such as customers, partners, franchisees, and distributors.
Product focus: core improvements alongside AI agents
Scott Peacock, SVP and head of product, said Docebo’s “Learn” product remains the core of the platform, representing the majority of SKUs and revenue, and that adjacent capabilities are being integrated, including the 365 skills product acquired earlier this year. Peacock emphasized that customer enthusiasm extends beyond AI, pointing to operational improvements that save administrators time.
Peacock highlighted several product initiatives:
- Docebo Companion: A way to surface the right training “no matter where they are on the web,” aimed at customers without large IT teams to build custom headless integrations. Peacock said Companion also creates signals based on learner behavior across the web.
- Enrollment rules engine: Designed to help large enterprises scale enrollments at high volume while managing downstream impacts in a complex, integrated system.
- AI coaching evolution: Peacock said the company expanded beyond “AI Virtual Coach” and renamed it to reflect broader capabilities, including AI role play and custom rubrics that define “what good looks like.”
- Content Marketplace upgrades: Intended to add new partners and expand customer access.
In a demo discussion of 365, Peacock described pulling data from multiple “sources of truth”—including LinkedIn information, CVs, and talent and performance systems—to map roles and skills, benchmark internal and external trends, and distinguish between “signals” and validated “evidence.” He described an “evidence engine” that allows customers to define what constitutes proof of proficiency, ranging from manager validation to proctored certifications.
Peacock also said AgentHub can function as an MCP client to access other MCP servers, gather information, and “make courses, deliver training, and set up learning plans” at scale.
TAM increased to $40 billion; external training highlighted
Farber said Docebo is updating its TAM estimate to $40 billion, up from $25 billion cited roughly 3.5 years earlier. He attributed the change to organic expansion into the government sector and “inorganic expansion into skills intelligence.”
Farber broke the corporate learning opportunity into internal and external audiences and said, from a TAM perspective, slightly less than 40% is internal and slightly more than 60% is external. He cited examples of customer deployments where external learners far exceed internal headcount, including a large U.S. sports organization, an independent regulatory body that monitors brokers, Databricks, and a Fortune 100 customer signed in Q1 that is using Docebo for partner certification.
Government and skills: pipeline, partners, and early cross-sell
Farber said Docebo updated its U.S. government TAM to $3 billion based on revised employee and contractor counts multiplied by an average realized sale price. He pointed to partner relationships including Deloitte and Carahsoft, and said the government sector is “the least competitive market we play in.”
On skills, Farber said this was the first time the company was presenting TAM following its acquisition of 365, citing third-party-validated sources across use cases including skills intelligence, internal mobility, and talent marketplace. He said 365 is already used by large enterprises such as SNCF and Crédit Agricole and is “ready to sell now.” Farber also said that 71 days after the acquisition, Docebo cross-sold 365 to an existing customer in Q1, calling it evidence that the acquisition thesis is “already playing out.”
Growth outlook: enterprise execution, guidance lift, and margin targets
Farber said Docebo believes 2026 will be the year when ARR stops decelerating, stating that the company showed acceleration in Q1 and expects acceleration by Q4 “with acquired ARR or without.” He attributed the Q1 guidance raise to core business acceleration rather than factors like Dayforce revenue, acquired ARR outperformance, or FX, noting FX “hurt our guidance by about $1 million.”
In Q&A, Farber said the raise was driven by enterprise performance, including “$2 million+ expansions,” citing one expansion at a regulatory body where Docebo initially won an internal use case and then self-sourced an external opportunity, and another expansion in healthcare where it expanded from a subsidiary to the broader organization. He also said enterprise pipeline visibility improved.
Artuffo added that Docebo is seeing sustained pipeline performance across segments including mid-market and improving momentum internationally, as well as increased head-to-head wins against larger incumbents. He reiterated the company’s focus on building a platform that combines learning, skills, and knowledge.
Farber also discussed customer concentration, saying that a prior AWS use case that represented 2.8% of ARR “is at zero,” while Dayforce is “slightly more than 3%.” He said the top 10 customers excluding Dayforce represent less than 8% of revenue.
On profitability, Farber said Docebo has gone from 8% EBITDA in 2021 to “slightly over 20% forecasted for 2026,” describing steady annual improvements without “sacrific[ing] our growth levers.” He also emphasized capital return and dilution discipline, saying the company reduced share count by 7.2 million shares and returned $277 million via buybacks, adding that Docebo plans to continue repurchasing shares “at these valuations.”
In a discussion of operating model assumptions, Farber said R&D efficiency gains from AI are shifting costs from headcount to compute in the near term and that expected compute savings are not anticipated in 2026. He also said sales and marketing targets were lowered from a prior range, reflecting improved performance and areas that may benefit from AI, such as RevOps and sales enablement.
About Docebo NASDAQ: DCBO
Docebo is a cloud-based learning management system (LMS) provider that offers enterprise organizations a comprehensive platform for employee, customer and partner training. The company's software is designed to streamline learning and development with features such as AI-powered content recommendations, automated learning paths and social collaboration tools. Docebo's platform supports multiple languages and integrates with a variety of third-party applications, enabling businesses to deliver training at scale across different departments and regions.
Founded in 2005 and headquartered in Toronto, Canada, Docebo has expanded its footprint to serve customers in North America, Europe, the Middle East and the Asia Pacific region.
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