Kaltura Q3 2026 Earnings Conference Call - KALTURA INC

Financial Performance:

• Total revenue reached a record $47.3 million, up 8% year-over-year (YoY), the highest growth rate since Q1 2022.
• Subscription revenue hit a record $45.9 million, up 9% YoY; Professional services revenue was $1.4 million, down 29% YoY.
• Segment performance: E&T revenue grew 14% YoY to $36.9 million; M&E revenue declined 10% YoY to $10.3 million.
• GAAP gross margin improved 175 basis points YoY to 72%; Subscription gross margin was 77%.
• Adjusted EBITDA was $6 million (margin 13%), a 45% YoY increase and record Q3 result.
• Non-GAAP net profit was $3.1 million ($0.02 per diluted share), up from $2.0 million in the prior year quarter.
• Net cash generated from operating activities was $7.6 million, reflecting Q3 seasonality.
• Net dollar retention (NDR) improved to 97%, marking the second consecutive quarter of improvement.
• Remaining Performance Obligation (RPO) stood at $161.6 million; ARR reached a record $184.7 million.

Guidance and Future Outlook:

• Raised full-year 2026 guidance for subscription revenue ($179.7M–$177.7M range noted in transcript likely implying $177.7M–$179.7M), total revenue ($185M–$185.7M), and adjusted EBITDA ($19.5M–$20.5M).
• Q4 2026 outlook: Subscription revenue $44.3M–$45.0M; Total revenue $46.2M–$46.9M; Adjusted EBITDA $2M–$3M.
• Full-year 2026 growth retention expected to improve materially over 2025, driven by normalization in M&E and future AI contributions.
• Management anticipates revenue contribution from new AI offerings to become more meaningful in 2027.
• Cash flow from operations expected to remain positive in Q4 consistent with historical seasonality.
• Refinancing of credit facility with a new three-year term agreement expected to close in Q4.

Business Segments and Product Lines:

• Q3 recorded 11 new transactions with contract values of at least six figures, including three seven-figure deals, the highest count since 2024.
• AI-related bookings surged; 15 transactions included AI offerings with a combined TCV of $3.8M (vs. $1.0M in Q2).
• Key AI product adoption: Agentic avatars (9 transactions), Content Lab (8 transactions), and workflow automation/metadata enrichment.
• Strategic integration of Kaltura, ESUS, and PathFactory into a unified agentic digital experience platform, featuring dynamic UI and shared intelligence/memory layers.
• Launched "Project 720" partnership with Israel's Ministry of Education for AI-based STEM learning in 20 middle schools.
• FIFA World Cup deployment powered 1.3 billion playback sessions and 7 million concurrent sessions, demonstrating platform scale.

Market and Competitive Landscape:

• AI-related sales pipeline grew 40% sequentially to ~500 opportunities with ~$24M quantified ACV.
• New logos now represent roughly half of the AI pipeline's potential ACV, up from one-third previously.
• 80+ active/active/planned AI proofs of concept (POCs), 75% with existing customers.
• Gartner identified Kaltura as a leader to beat for video platform AI; Digiday named agentic avatars "Best Interactive Content Platform."
• Competitive stance: Differentiation lies in rich multi-model engagement (video, avatars, dynamic UI) rather than text-only solutions, targeting human-centric use cases like role-play and coaching.

Risks and Challenges:

• Growth churn increased in Q3 due to legacy contract roll-offs (Kaltura and PathFactory) and anticipated to continue in Q4.
• AI inference costs currently impact gross margin by 1-2 percentage points, though expected to be a "rich man's problem" as top-line grows.
• Sales cycles for enterprise AI solutions are lengthening due to governance, security, legal, and privacy reviews required by large customers.
• M&E segment headwinds persist, though E&T is expected to turn around.
• Transition from legacy products to new agentic platform requires significant time for customer adoption and POC conversion.

Management Commentary and Tone:

• Tone was confident and optimistic, highlighting record bookings, revenue, and EBITDA margins.
• Management expressed strong conviction in the "agentic" strategy, noting AI is driving larger strategic transactions rather than just standalone product purchases.
• Emphasized the strategic shift from selling discrete products to selling a unified platform with shared intelligence.
• Confirmed that while AI costs impact margins slightly, they are a byproduct of strong top-line growth.
• Management expects channel partnerships to become meaningful in 2027 following a direct sales-first approach.

Analyst Questions and Answers:

• Ryan Kuntz (Needham & Company): Asked about booking trajectory and churn. Ron Ucateel clarified that while churn is elevated from legacy contracts, full-year churn will be better than 2025; bookings are driven by AI and high-value deals across diverse industries (higher ed, tech, financial services).
• James Kisner (Water Tower Research): Inquired about POC-to-production conversion and competition. Ucateel noted that long enterprise sales cycles for AI governance are the primary delay, not competition; Kaltura's advantage is deep integration into existing customer workflows and content libraries.
• James Kisner (Water Tower Research): Asked about AI token costs and gross margin. Confirmed costs are a minor drag (1-2%) but non-material; expects long-term margin growth to continue.
• James Kisner (Water Tower Research): Asked about channel strategy. Confirmed channels are a "second wave" strategy; will become meaningful in 2027 after direct validation, citing the Israel Ministry of Education as an early channel example.

Other Key Points:

• 12 of the 15 AI-related deals were expansions/renewals, validating the strategy of introducing new AI capabilities to the existing install base.
• The "dynamic UI" feature allows agents to assemble personalized, real-time experiences based on user intent.
• The company is investing significantly in post-merger integration and new product development while maintaining disciplined capital allocation.
• The strategic focus remains on two core solutions: "Agentic Revenue Engagement" and "Agentic Learning & Enablement."
• Gross margin expansion is expected to continue over time despite short-term AI cost headwinds.