Docebo

Docebo

SaaS learning platform for corporate training

Overview

Docebo provides a cloud-based learning platform for businesses to train employees and other stakeholders by combining formal, social, and experiential learning. It operates as a Software-as-a-Service (SaaS) product, where clients subscribe to access features like course management, social learning tools, AI-driven recommendations, and analytics. Users enroll and track training, receive personalized learning paths, and measure progress within a scalable interface that supports multiple learning modalities. Compared with typical LMS options, Docebo emphasizes integrating formal, social, and experiential learning in one system and uses artificial intelligence to tailor content and recommendations to each learner and organization. The goal is to help companies improve workforce development by offering accessible, scalable, and personalized learning experiences that boost skills and performance across their teams.

About Docebo

Simplify's Rating
Why Docebo is rated
B-
Rated B on Competitive Edge
Rated B on Growth Potential
Rated C on Differentiation

Industries

Enterprise Software

AI & Machine Learning

Education

Company Size

1,001-5,000

Company Stage

IPO

Headquarters

Toronto, Canada

Founded

2005

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Simplify's Take

What believers are saying

  • Q1 2026 ARR reached $248.9 million, up 10.6%, while free cash flow hit $27.6 million.
  • April 2026 guidance rose to $271 million-$275 million, reflecting stronger 2026 execution.
  • January and April 2026 acquisitions expanded AI capabilities and deepen product stickiness.

What critics are saying

  • AWS contract roll-off and Dayforce churn pressure 2026 ARR, with analysts cutting targets.
  • January 2026 layoffs cut 10% of staff, signaling margin pressure and restructuring risk.
  • If assistants own learning workflows, Docebo becomes infrastructure and loses platform pricing power.

What makes Docebo unique

  • April 2026 AgentHub ties learning, knowledge, and skills into one workflow engine.
  • 365Talents powers skills intelligence; Zive adds enterprise knowledge retrieval across internal systems.
  • July 22, 2026 MCP Server embeds Docebo inside ChatGPT, Copilot, and Claude.

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Funding

Total Funding

$157.6M

Above

Industry Average

Funded Over

6 Rounds

Post IPO Equity funding comparison data is currently unavailable. We're working to provide this information soon!
Post IPO Equity Funding Comparison
Coming Soon

Benefits

Paid Vacation

Employee Stock Purchase Plan

Hybrid Work Options

Remote Work Options

Stock Price

Growth & Insights and Company News

Headcount

6 month growth

0%

1 year growth

0%

2 year growth

10%
Omniplex Learning
Jul 29th, 2026
Omniplex Learning partners with KNOLSKAPE to launch a new service: OL Business Simulations.

Omniplex Learning partners with KNOLSKAPE to launch a new service: OL Business Simulations. Omniplex Learning (OL) announces strategic partnership with KNOLSKAPE to bring AI-powered business simulations to UK and European organisations. Omniplex Learning is delighted to announce a new partnership with KNOLSKAPE, a global experiential learning technology company, to launch OL Business Simulations. Combining KNOLSKAPE's technology, including its GenieKreator AI Creation Studio, with Omniplex Learning's content and consultancy expertise, OL Business Simulations are a managed service for organisations that need to build, practise, and measure capability in workplace situations. Through the simulations, learners practise difficult conversations, decisions, and trade-offs in a safe environment. Organisations, in turn, gain clearer insight into how learners perform and where capability gaps remain, along with development actions recommended by an OL learning consultant. The partnership responds to a growing challenge for learning and business leaders: training activity doesn't always translate into workplace capability. Completion data shows who finished a course, but it rarely shows how someone would handle a difficult conversation or make decisions under pressure. OL Business Simulations are designed to close that gap: Omniplex Learning will work with customers to define the business challenge, identify what good performance looks like, design realistic scenarios, deploy the simulation, analyse learner responses, and outline next steps for improvement. Patrick Jocelyn, CEO at Omniplex Learning, said: "This partnership is about helping organisations move beyond training completion and get closer to real performance change. By combining KNOLSKAPE's simulation technology with Omniplex Learning's expertise, we can help customers recreate the moments that matter, see how people respond, and turn that insight into more targeted development." Rajiv Jayaraman, Founder and CEO at KNOLSKAPE, said: "KNOLSKAPE has spent over 15 years helping enterprises build performance readiness through experiential technology. GenieKreator is our AI Creation Studio for Experiential Solutions, enabling organisations to rapidly create AI-powered experiences across the employee lifecycle." Rajiv Jayaraman added: "Omniplex Learning is one of the most respected names in L&D across the UK and Europe, and GenieKreator is the platform we built for exactly this moment. Together, we can give L&D leaders an AI-native way to create custom simulations, AI roleplays, and coaching experiences at the speed the business needs." OL Business Simulations will be offered as a managed, consultative service rather than a self-serve authoring platform. They are particularly relevant for management development, sales conversations, customer service, retail interactions, and role readiness. Use cases include practising feedback and coaching conversations, handling objections and price negotiations, responding to complaints and escalations, and applying product knowledge in customer conversations. About Omniplex Learning. At Omniplex Learning, its mission is to empower organisations and individuals to unleash their full potential through exceptional digital learning. Its diverse solutions, including authoring tools, LMS solutions, digital adoption solutions, and content creation, are designed to provide continuous support to organisations at every stage of their L&D journey. Omniplex Learning has also championed strategic partnerships with global brands such as Articulate, Docebo, Vyond, CYPHER Learning, and KNOLSKAPE, reinforcing its status as a trusted ally in the industry. But its partnership doesn't end at product provision. Leveraging its deep expertise and knowledge, Omniplex Learning offer comprehensive support, tailored training, and bespoke content production to ensure the best possible outcomes. Together, Omniplex Learning shape the story of growth and success. Omniplex Learning is Learning. Connected. About KNOLSKAPE. KNOLSKAPE is a leading HR technology company that helps global organisations become performance ready through experiential technologies, including AI-powered simulations, roleplays, coaching, and talent intelligence. Guided by the belief that performance is built, not taught, KNOLSKAPE orchestrates capability building across the employee lifecycle through its proprietary 4E Framework (Evaluate, Educate, Experience, and Enable) and GENIE, its agentic AI performance readiness platform. GenieKreator, a core GENIE capability, enables enterprises to rapidly build customised, context-specific readiness solutions. Trusted by 450+ organisations across 75 countries and engaging 1 million+ employees, KNOLSKAPE supports leadership, digital and AI, customer, organisational, domain, and role readiness. The company operates across Singapore, Malaysia, India, Indonesia, the USA, and the UK, and has been recognised by Training Industry as a Top 20 AI Coaching and AI Content Creation & Authoring Company globally. See how business simulations can support your learning goals. Get in touch with the OL team to find out more. Fresh thinking, practical guidance and expert perspectives from the front line of learning. Contact its experts. The possibilities are endless. Let's find out together. Why OL. Products & services. Professional services. Resources.

NAI 500
Jul 25th, 2026
10-Bagger potential on the TSX: two small-cap stocks to watch now.

10-Bagger potential on the TSX: two small-cap stocks to watch now. For long-term wealth builders, turning an initial $20,000 into $200,000 means achieving a 10-fold return. While that may seem out of reach in the short term, over a 20-year horizon, it is mathematically entirely feasible at a compound annual growth rate of approximately 12.2%. On the Toronto Stock Exchange, two small- to mid-cap growth companies with clear business models and long-term expansion potential in their respective sectors - Docebo (TSX:DCBO) and WELL Health Technologies (TSX:WELL) - are worth investors' attention. Suggested opportunity. Docebo: An AI-Powered Enterprise Learning Platform Docebo provides a cloud-based training and learning platform for large organizations to train employees, customers, and partners across onboarding, compliance, and professional skills development. Once deeply embedded in daily operations, this business model generates recurring subscription revenue. Artificial intelligence is becoming a key variable in enhancing Docebo's platform value. In January 2026, the company acquired 365Talents, an AI-driven skills intelligence and workforce analytics firm, gaining technology to identify employee skills, uncover capability gaps, and proactively recommend training or internal mobility opportunities - tightly binding skills management with learning execution. Financially, Docebo reported first-quarter annual recurring revenue (ARR) of US$248.9 million, up 10.6% year-over-year, while free cash flow climbed to US$27.6 million, demonstrating its ability to improve profitability through operational efficiency even as it expands. Despite recent valuation adjustments in the software sector, Docebo's market capitalization of roughly US$650 million (approximately US$480 million) leaves considerable room for growth if its AI-powered platform continues to win large enterprise customers. WELL Health: A Hybrid of Physical Clinics and Digital Healthcare WELL Health is a unique player in Canada's digital health space, operating a dual business model that combines "physical" and "digital" - running a network of brick-and-mortar medical clinics while supplying digital tools that help healthcare providers manage patients, electronic records, billing, cybersecurity, and virtual care. This combination allows WELL Health to benefit simultaneously from direct healthcare delivery and back-end system efficiency gains. Against the structural challenges of Canada's physician shortages, aging population, and overburdened healthcare system, demand for WELL Health's services remains robust. In the first quarter of 2026, the company recorded 1.9 million patient visits, while revenue rose 25% year-over-year to C$368.3 million. More notably, its Canadian operations (including clinics and the WellStar software platform) achieved a C$100 million annualized adjusted EBITDA (earnings before interest, taxes, depreciation, and amortization) run rate three quarters ahead of schedule - and on lower revenue than originally projected - proving that operational efficiency is improving as the business scales. With WELL Health's current market capitalization at approximately C$1.1 billion, if management continues to deliver on growth and efficiency improvements over the next several years, the long-term return potential is worth watching. Risks and Investment Strategy Of course, these investments are not without risks. Docebo faces intense software competition, lengthy enterprise sales cycles, and integration uncertainties from acquisitions. WELL Health carries debt, relies in part on acquisitions for growth, and operates within highly regulated healthcare systems. Both stocks are highly volatile, and sharp price corrections can occur even when the long-term thesis remains intact. Investors may consider a gradual position-building approach, spreading capital across both companies while maintaining patience measured in years. Docebo offers recurring software revenue tied to AI and workforce development, while WELL Health combines digital healthcare with a rapidly expanding clinic network. A $10,000 allocation to each does not guarantee a 10-fold return, but the market capitalizations of both companies - and the vast size of the markets they address - make that long-term goal worthy of serious consideration.

1000.software
Jul 22nd, 2026
Docebo's MCP Server signals the MCP era - 6 musts for secure, production-ready LMS integration.

Docebo's MCP Server signals the MCP era - 6 musts for secure, production-ready LMS integration. The LMS is no longer just a destination interface. In July 2026, it became a callable service layer inside enterprise AI assistants, and that shift has immediate consequences for L&D, IT, and security teams. Docebo's general availability release of its MCP Server on July 22, 2026 marks a practical turning point: learning operations can now happen in ChatGPT, Copilot, Claude, and Gemini instead of only inside the LMS UI. That sounds like a UX improvement, but the deeper change is architectural. When an LMS becomes a toolset inside assistant workflows, operating models, permission boundaries, and governance controls all need to evolve. Why this release matters now. What makes this moment important is not just feature velocity, but implementation timing and enterprise readiness pressure. From Docebo's release and community rollout details, teams are moving from beta patterns into production architecture now. This includes a required move away from temporary beta endpoints to permanent server URLs and a re-authentication cycle for users. In practical terms, this is not future planning - it is active cutover work. For enterprise learning leaders, this creates a narrow window to answer three business questions: * Where should learning workflows execute - in LMS screens, AI assistants, or both? * Which actions are safe to expose to natural-language tool invocation? * How will you audit and control assistant-mediated access at scale? From LMS destination to LMS tools: the new operating model. The strongest signal in Docebo's MCP direction is the move from passive retrieval to operational actions. Current capabilities position MCP for both learner and admin use cases, including: * Learner-side access to training information, progress, and certifications * Admin-side workflows for enrollments, course and learning plan management, and content curation * AI-assisted content curation actions such as discovering third-party content, comparing options, and importing into folders This changes day-to-day L&D work in a few meaningful ways: * Fewer context switches for admins and managers * Faster completion of repetitive operations through natural language * More pressure to design role-specific tool exposure, because assistants can now execute, not just answer The key takeaway: MCP is not just another integration. It turns the LMS into a governed capability layer that can be invoked from multiple assistant surfaces. What implementation teams must get right first. The configuration flow described in Docebo's developer documentation is straightforward, but it has important constraints that affect rollout quality. Core implementation realities. * Setup is a shared responsibility between Docebo Superadmins and assistant-platform admins * OAuth app setup and MCP server setup are distinct steps * Users complete one-time authorization, but SSO-related flow limitations still require careful sequencing * Custom server architecture enables persona-based exposure of tools * The built-in learner server is fixed, while custom servers can be created, enabled, disabled, edited, or deleted Immediate rollout checklist. * Create separate OAuth apps per assistant client when needed * Standardize MCP server naming and path conventions by persona/use case * Validate production endpoint changes before user enablement * Segment assistant connectors by audience (learner vs admin) to reduce permission confusion * Run pilot tests with realistic enrollment and content-volume scenarios A notable lesson from community feedback is that error messaging clarity matters. Permission failures can present as ambiguous resource errors in assistant conversations, which creates avoidable support load if role boundaries are not clearly designed. Security and governance: what admins should demand next. MCP adoption in enterprise learning is viable only if security controls mature alongside usability. Two external signals are especially relevant: * Microsoft's enterprise MCP model emphasizes read-focused tool boundaries, delegated permissions, rate limits, and activity logging through existing governance surfaces. * The MCP enterprise-managed authorization extension formalizes centralized IdP control to reduce per-user token sprawl and improve revocation governance. * NSA security guidance highlights broader MCP risks - including weak access control patterns, token/session handling gaps, tool misuse paths, and insufficient auditability. For enterprise teams, this translates into concrete control requirements: * Centralized authorization policy via enterprise IdP * Least-privilege tool exposure by persona and environment * Strong token lifecycle controls (rotation, revocation, scope discipline) * Comprehensive audit logging tied to user identity and tool invocation context * Execution guardrails for high-impact actions and abnormal request patterns * Clear change control for tool catalogs and connector updates In short, if LMS workflows are becoming assistant-executable, then governance must shift from UI permissions alone to assistant-era policy enforcement. What comes next in the MCP era of enterprise learning. Docebo's July 2026 release shows where the market is heading: enterprise learning platforms are becoming part of a broader AI tool fabric. The winners will not be organizations that simply connect an LMS to an assistant. They will be the ones that operationalize this model with disciplined architecture, role design, reliability testing, and security-by-default controls. The strategic opportunity is clear: make learning workflows faster and more embedded in work without sacrificing control. The teams that treat MCP as both a productivity layer and a governance challenge will set the new standard for enterprise L&D execution.

Yahoo Finance
Jun 9th, 2026
Docebo raises 2026 revenue guidance to $271M–$275M, unveils next-gen learning platform

Docebo's fair value estimate remains at CA$35.97, unchanged despite recent model adjustments. Analysts note that updated assumptions are reshaping the risk and valuation narrative around the learning platform company, with differing interpretations emerging across Street research. The company raised its full-year 2026 revenue guidance to US$271 million to US$275 million, up from previous guidance of US$267.5 million to US$269.5 million. First-quarter 2026 revenue is expected between US$65.4 million and US$65.6 million, compared with US$57.3 million in the same period last year. Bullish analysts highlight the company's clear story, whilst bearish voices caution that narrow research coverage leaves gaps in understanding execution and growth prospects. Docebo recently unveiled a next-generation learning platform at its Inspire 2026 event.

Yahoo Finance
May 17th, 2026
Docebo unveils AI-powered learning platform as analysts trim targets to mid-$20s

Docebo's modelled fair value has been revised marginally from CA$36.09 to CA$35.97, reflecting mixed analyst sentiment as strong gross bookings meet subscription and contract headwinds. Three major firms — Stifel, Morgan Stanley and Scotiabank — cut price targets to the mid-US$20s whilst maintaining positive ratings. Stifel kept its Buy rating despite flagging compounding headwinds from AWS contract roll-off and Dayforce churn. Morgan Stanley highlighted one of Docebo's strongest gross bookings quarters since 2021, though calling it a "show me story" requiring execution proof. Meanwhile, Docebo unveiled its next-generation platform at Docebo Inspire 2026, introducing AI-focused modules including AgentHub and Skills Intelligence. The company raised its fiscal 2026 revenue guidance to US$271 million to US$275 million, citing over 50% more product releases aided by AI-assisted development.

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