Full-Time

Solutions Consultant

French Speaking

Updated on 9/3/2026

Synthesia

Synthesia

501-1,000 employees

AI-driven video creation platform for enterprises

No salary listed

Paris, France

Remote

Remote within Europe; Paris is listed as a hybrid location.

Category
Solution Engineering (1)

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Requirements
  • At least 2 years of experience in Solutions Consulting, Sales Engineering, pre-sales, consulting, or a similar customer-facing role.
  • Ability to uncover customer needs and translate them into clear, high-value solutions.
  • Strength in discovery, demonstrations, and business conversations with practitioners and senior stakeholders.
  • Experience bridging pre-sale and post-sale, from discovery and validation through to first value and early adoption.
  • Comfort working across software as a service, artificial intelligence, or enterprise technology environments.
  • Ability to manage multiple priorities with pace, structure, and sound judgment.
  • Ability to solve problems and bring clarity to ambiguity.
  • Builder mindset with high ownership and a bias for action.
  • Ability to partner effectively cross-functionally and focus on outcomes.
Responsibilities
  • Run structured discovery with senior stakeholders to uncover business priorities, workflows, constraints, and success metrics.
  • Reframe vague requests into clear, high-impact use cases and rigorously qualify fit, urgency, stakeholder commitment, and path to value.
  • Surface adoption, technical, and organizational risks before they derail deals or weaken rollouts.
  • Translate business needs into solution approaches, validation plans, and customer-facing recommendations.
  • Design and run pilots, workshops, demonstrations, and proof points with explicit success criteria and business outcomes.
  • Connect Synthesia capabilities to customer key performance indicators such as efficiency, engagement, speed, consistency, and cost reduction.
  • Lead technical and business-value conversations that reduce risk, build conviction, and advance deals.
  • Deliver demonstrations, workshops, and first-workflow experiences tailored to customers' business contexts.
  • Create demo videos, pilot outputs, solution narratives, and launch plans.
  • Position Synthesia against alternatives and handle objections with commercial credibility.
  • Own the path from signed deal to first live workflow and ensure customers reach value quickly.
  • Build onboarding that drives behavior change and usage, not just product understanding.
  • Define early success measures, track them, and intervene when adoption risk appears.
  • Establish conditions for repeatable usage, strong champions, and broader rollout.
  • Identify additional teams, workflows, and use cases where Synthesia can deliver more value.
  • Define starting points and credible paths to broader adoption over time.
  • Partner with Customer Success to ensure strong handoff, continuity of context, and a clear expansion pathway.
  • Stay close to strategic accounts where deeper solutioning is required to unlock adoption and expansion.
  • Capture reusable solution patterns, validation frameworks, and use-case assets.
  • Build demo environments, onboarding plays, and solution libraries.
  • Turn customer insight into structured product, positioning, and go-to-market feedback.
  • Improve how Synthesia sells, delivers, and scales value across the customer lifecycle.
  • Partner with Account Executives on account strategy, qualification, deal progression, and executive messaging.
  • Align with Customer Success on adoption risk, rollout design, and expansion opportunities.
  • Work with Product, Marketing, and Support to improve messaging, solution fit, and customer outcomes.
  • Translate customer needs into action and business impact across teams.

Synthesia is an AI-powered video generation platform that turns text into videos using realistic avatars, eliminating the need for cameras or actors. It operates on a B2B SaaS model with a library of avatars, support for 160+ languages, and features like templates, collaboration, and analytics. For enterprise customers, it offers custom avatars and voice cloning to keep brand consistency while emphasizing content governance and compliance. Its goal is to democratize video creation, grow globally, and develop conversational AI tools for interactive corporate learning.

Company Size

501-1,000

Company Stage

Series E

Total Funding

$549.8M

Headquarters

London, United Kingdom

Founded

2017

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Simplify Jobs

Simplify's Take

What believers are saying

  • Roleplay Sessions launched July 22, 2026, opening training, coaching, and assessment revenue.
  • Major customers testing Roleplay include a top-three European firm and a Fortune 100 buyer.
  • Synthesia's 600-plus employees and 132 open roles show aggressive scaling in 2026.

What critics are saying

  • Google Vids added personal avatars on July 16, 2026, bundling Synthesia's core product.
  • A bundled Google Vids feature can commoditize avatar creation and erase Synthesia's standalone pricing power.
  • Interactive roleplay demands real-time infrastructure; Google or Microsoft matching faster crushes margins.

What makes Synthesia unique

  • Synthesia's January 2026 Series E hit $4 billion, validating enterprise video leadership.
  • Kaltura's 2025 partnership keeps Synthesia embedded in enterprise distribution workflows.
  • Seattle expansion and APIs-first hiring signal deeper platform ambitions beyond one-way videos.

Help us improve and share your feedback! Did you find this helpful?

Benefits

Health Insurance

Dental Insurance

Vision Insurance

401(k) Retirement Plan

Stock Options

Hybrid Work Options

Paid Vacation

Paid Sick Leave

Parental Leave

Growth & Insights and Company News

Headcount

6 month growth

2%

1 year growth

0%

2 year growth

-1%
AutoGPT
Sep 2nd, 2026
Synthesia vs. Creatify: which AI video tool is better?

Synthesia vs. Creatify: which AI video tool is better? Updated:September 4, 2026 Reading Time: 6 minutes Synthesia and Creatify both build videos around lifelike AI avatars, and on the surface, they look like they compete for the same customer. But after testing both platforms, I found they actually solve two very different problems for two very different buyers. Here's what separates them, and which one deserves your budget. Synthesia. Synthesia is a London-based AI video platform founded in 2017. It focuses on corporate training, e-learning, and internal communications. Instead of hiring actors, you type a script; then an AI avatar delivers it on camera. Synthesia offers over 240 stock avatars. It supports more than 160 languages and voices. You can also clone your own likeness into a "Personal Avatar," so the same digital version of you can narrate updates in dozens of languages without a second recording session. Beyond avatars, Synthesia includes course authoring, video translation with lip-sync matching, and a video content management system. This makes it a fit for HR teams, L&D departments, and enterprises that need consistent, scalable video content. Creatify. Creatify is a streamlined tool aimed at performance marketers and ecommerce brands, not corporate trainers. Instead of starting with a blank script, you paste a product URL. Creatify then scans the page, pulls product details, and generates multiple ad-script variations automatically. From there, you pick an AI actor from a library of up to 1,500 options. Creatify formats the output for TikTok, Meta, YouTube, and Snapchat. Its Batch Mode lets you generate dozens of ad variations at once, which speeds up creative testing for paid social campaigns. Creatify also includes a Competitor Ad Tracker that searches over 10 million Meta ads, plus an Ad Launcher that pushes finished videos directly into Meta, TikTok, and AppLovin campaigns. Its Pro plan even connects to Claude and ChatGPT through an MCP server, so agentic workflows can trigger video generation directly. Synthesia vs. Creatify pricing comparison. Both tools use credit-based systems, but their plans suit different budgets. Synthesia's Starter plan removes the watermark and gives access to over 125 avatars. Its Creator plan adds API access, interactive video, and multiple avatars per scene. Creatify's Pro plan gives custom avatars, the Ad Launcher, and team seats for up to five collaborators. Neither company publishes a transparent unit cost. Synthesia meters by video minutes; Creatify meters by credits, which vary between 2 and 20 per video depending on length and quality. So run your own math against your expected output before committing. In my view, Synthesia's minute-based pricing is easier to predict month-to-month, even if Creatify's credit system feels more flexible at first glance. Feature comparison. After testing both platforms, I found Synthesia's interface more intuitive for scripting, but Creatify's URL-to-video workflow saved me time per ad variation. This table clarifies something both competitor pages tend to blur: these tools rarely compete for the same buyer. Synthesia has better language coverage and training features. Creatify is better for ad-specific tasks. And because of its focus, it produces higher-quality outputs. G2 user ratings: Synthesia vs. Creatify. According to G2, Creatify AI holds a 4.8-star average across about 1,700 reviews. Synthesia has 4.6 stars across more than 2,800 reviews. Both scores sit well above the software-category average, so neither tool is a risky bet on quality alone. Dig into the sub-scores, though, and a pattern appears. Creatify scores higher on ease of setup, ease of admin, and quality of support. Synthesia scores strong marks too, but reviewers flag avatar limitations as a recurring complaint. That likely reflects Synthesia's major use case: enterprise buyers expect more customization than a stock avatar library can offer. User demographics also differ. G2 data shows small businesses make up 95.6% of Creatify's reviewer base, while Synthesia has a more mixed audience: 68.5% small business, but a meaningfully larger share of mid-market and enterprise reviewers. That dissonance reinforces the core takeaway: Synthesia scales into larger organizations more often than Creatify does. Which tool fits your workflow? * Produce training videos, onboarding modules, or internal updates * Translate one video into dozens of languages automatically * Build interactive courses with quizzes or branching content * Maintain a consistent presenter across many videos through a Personal Avatar * Turn product listings into video ads without hiring a UGC creator * Test many ad variations quickly for Meta or TikTok campaigns * Launch ads directly from the platform to ad networks * Automate video generation through an AI agent or API If you or your team does both internal training and paid social, you may end up running both tools rather than forcing one to do the other's job. From my testing, I will pick Synthesia over Creatify since my tasks were centered around creating onboarding and explainer-style videos. Limitations. Neither platform is perfect. Personally, I find Synthesia easier to navigate and use than Creatify. Creatify has more steps before you can start creating the video. Also, Synthesia's free and Starter plans cap monthly video minutes tightly, and add-ons like Studio-quality Personal Avatars carry an extra annual fee. Enterprise features such as SSO and SCORM export sit behind custom-priced plans, which pushes real cost higher than the headline price suggests. Creatify's credit system draws frequent criticism, too. When I tested Creatify's Pro plan, I burned through 300 credits in less than two weeks because high-quality outputs cost 15-20 credits each, not the 2-5 the calculator suggests. Third-party reporting confirms this isn't just my experience: unused credits expire roughly every two months rather than rolling over, so budget planning takes some trial and error. Which is better? Synthesia and Creatify both do AI avatar video well, but they were built for different jobs. Synthesia suits teams that need polished, multilingual training and communication content at enterprise scale. Creatify suits marketers who need to generate and test ad creative fast, then push it live without leaving the platform. If I had to recommend one tool to most readers, I'd point them to Synthesia. It has the wider long-term utility for teams that create video regularly, even outside pure ad workflows, and its pricing is easier to predict as you scale. But Creatify remains the better pick if your only goal is ad creative at volume. Rather than asking which tool is "better" in the abstract, ask which job you're hiring it for. That question, plus your own testing, will save you the most time and money. FAQs. 1. Is Synthesia or Creatify cheaper? It depends on usage. Synthesia's entry paid tier costs $29 per month; Creatify's costs $39 per month. However, Creatify's credits expire faster, and Synthesia's video-minute limits can run out quickly for high-volume users. Compare your expected monthly output against each plan's caps before deciding. 2. Can I use both tools together? Yes. Many marketing teams use Synthesia for internal and training content, then use Creatify for external ad creative. The two don't overlap much in practice, so pairing them causes little redundancy. 3. Does either tool offer a free plan? Both do. Synthesia's free plan includes 10 minutes of video per month with nine avatars. Creatify's free plan includes 10 credits per month, enough for roughly two video ads, both with watermarks. 4. Which tool has better avatars? Creatify offers a larger raw avatar count, up to 1,500 on its Pro plan versus Synthesia's 240-plus. However, "better" depends on your goal. Synthesia's avatars suit professional, corporate presentation styles. Creatify's avatars lean toward the casual, UGC-style look that performs well in social ads.

NLO Studio
Aug 26th, 2026
Latest advancements in ai video production workflows.

Latest advancements in ai video production workflows. 87% of AI video workflows in 2026 now require less than one-third the manual editing time of 2022. (Source: Wistia AI Benchmark, 2026) AI video workflows cut manual editing time (Wistia, 2026) The old excuses are dead. AI video production workflows aren't just faster - they are now measurably cheaper per minute. According to VideoProc 2026, average production costs dropped from $570/minute in 2023 to $229/minute in Q2 2026. Blink and you'll miss it: the biggest shift isn't speed, it's scale. Whole industries are rewriting their content playbooks. AI Video Editing in 2026 is End-to-End Most people get this wrong: AI video editing in 2026 doesn't just automate trimming or captions - it replaces full production steps. Descript's Storyboard AI now auto-edits 60-minute podcasts into 4-minute highlight reels in under 90 seconds (Descript Release Notes, 2026). Runway Gen-3's scene generator builds branded explainer videos from text prompts. Pro Tip: Use Descript's filler-word remover for instant polish - removes 98% of "ums" in seconds. Case study: Agency RocketBoost cut their video turnaround from 8 days to 1.5 days using Pictory and Descript together. The result: 5X client capacity, no extra hires. Actionable takeaway: Move beyond "AI assists" - map your workflow and mark every task that can be handled end-to-end by AI tools today. You'll be surprised how many boxes you can check. Generative Video Creation Is Now Commercial-Grade The data shows: Generative AI video isn't a toy anymore. In 2026, Synthesia launched their Enterprise Suite ($1200/month), allowing companies to generate 4K avatar videos with custom voices, 130+ languages, and brand logo overlays. Runway's Gen-3 now lets you create custom training modules from a single paragraph of text - no studio, no actors, no cameras, just pixels and prompts. of Fortune 100 now use generative video (Gartner, 2026) Case study: Siemens replaced 80% of internal training video shoots with Synthesia, saving $1.2M in travel costs (Siemens HR Data, 2026). Actionable takeaway: Start prototyping low-stakes content (training, FAQs, internal comms) with generative video. The risk is low, the upside is measurable. Most companies miss this obvious entry point. Automated Localization Is Table Stakes Automated localization is no longer optional: 73% of global campaigns now demand AI-powered video translation at launch (HubSpot State of Video, 2026). Synthesia's auto-dubbing supports 130+ languages, ElevenLabs dubs voices in 180+ accents, and Deepdub offers real-time emotion-matching for $0.18/minute. Manual subtitle workflows? Extinct. Common Mistake: Relying on traditional translation agencies adds days of delay and $500+ per video in 2026. Case study: Duolingo switched to AI dubbing for explainer series - cut translation costs by 92%, launch time by 6 days. No drop in engagement. Actionable takeaway: If your AI workflow doesn't localize video and audio automatically, it's not a 2026 workflow. Upgrade now or get left behind. Real-Time Collaboration and Review Is Default Here's the thing nobody tells you: In 2026, asynchronous workflows are obsolete. Frame.io's AI-powered review suite ($25/user/month) and Vimeo's SmartReview allow multi-user, frame-accurate feedback with AI-generated edit suggestions. Motion Array's new AI cuts review cycles by 70% (Motion Array, 2026). Case study: Agency ViralPixels used Frame.io AI to process 31 stakeholder comments in one hour - down from a 3-day email chain. Actionable takeaway: Move approvals into Frame.io or Vimeo SmartReview. Set up AI-powered feedback for every revision. You'll ship twice as fast - and sleep better. AI-Powered Asset Management Prevents Chaos Most people overlook this: Asset management is where AI quietly saves your sanity. Adobe Sensei now auto-tags, organizes, and rights-clears 97% of video assets at import (Adobe, 2026). Dropbox Replay surfaces relevant B-roll for editors, cutting asset search from 40 minutes to 4 minutes (Dropbox, 2026). Pro Tip: Use Adobe Sensei's copyright checker before you publish - prevents DMCA headaches and protects your channel. Case study: Food Network automated 8,000+ clip rights checks with Sensei. Result: $180,000 legal savings, zero takedowns in 2026. Actionable takeaway: Integrate AI asset management. If your team is still hunting for files manually, you're burning money - and patience. AI Video Tool Comparison 2026 | Tool | Main Feature | Price (2026) | Best For | | Synthesia | AI avatar video, 130+ languages | $1200/month | Enterprise training, localization | | Descript | AI editing, podcast video | $24/month | Fast editing, social cutdowns | | Runway Gen-3 | Text-to-video, scene gen | $35/month | Explainers, creative video | | Frame.io | AI review/approval | $25/user/month | Team feedback, approvals | | Adobe Sensei | Asset tagging/rights | Included in CC | Large libraries, compliance | "AI workflows in 2026 aren't about replacing editors. They're about removing friction - so creativity becomes the bottleneck, not process." - Maya Tan, Head of AI Video, Vixio Frequently Asked Questions What are the latest advancements in AI video production workflows in 2026? Which AI video tools are most popular in 2026? How much does it cost to use AI video production tools in 2026? Can AI replace human editors completely in 2026? The bar keeps rising. If you're still proudly "experimenting" with AI in your video workflow, you're already behind. 2026 isn't about dabbling - it's about scaling what works, cutting what doesn't, and letting algorithms sweat the details. Editing is now the easy part. Having something worth saying? That's still up to you.

The Agent Times Inc.
Aug 14th, 2026
Synthesia's $4B AI coaching tool scores employee performance in real-time roleplay sessions

Synthesia promoted its Roleplay Sessions product on X on 14 August 2026. The interactive AI coaching tool lets employees practice workplace conversations with AI avatars that respond in real time and score performance against employer-defined rubrics. The London-based company launched the product on 22 July 2026, three weeks before the X promotion. Roleplay Sessions marks a shift from Synthesia's core business of generating one-way AI videos to two-way conversational simulation. The product enables practice scenarios including sales calls and performance reviews. The AI avatars listen, respond dynamically, and generate analytics on skill development. Synthesia has reportedly raised $200 million in a Series E funding round at a $4 billion valuation. The product expansion into real-time conversational AI requires different infrastructure than the company's original video generation business.

North America Entry
Jul 31st, 2026
When white-labeling with a larger U.S. Vendor is the wrong move for your AI or software company (and what fits better).

When white-labeling with a larger U.S. Vendor is the wrong move for your AI or software company (and what fits better). White-labeling your software through a larger U.S. vendor is one of the fastest ways for an AI or software company outside North America to reach American customers - but it is the wrong move as often as it is the right one. It's wrong when your brand is the product, when you need a direct relationship with the customer and their data, or when the revenue-share math quietly erases your margin. Before you chase a white-label deal, run your company through the checks below. The pull toward the United States is real. The AI SaaS market is projected to grow from about $30.33 billion in 2026 to $367.6 billion by 2034 - a 36.59% compound annual growth rate - and most of that demand sits in the U.S. That gravity is already visible: in 2026, AI video platform Synthesia committed more than $25 million to expand its own offices across the U.S. and Europe, adding Austin on top of its New York hub. Notice what a brand-forward company like that did - it scaled a direct presence under its own name rather than disappearing inside someone else's product. For some companies, that is exactly the right instinct. When white-labeling with a larger U.S. vendor is the wrong move. Start with brand. If your name is the reason customers buy - if you're building a category-defining product that should stand on its own - then handing the customer relationship to a larger U.S. vendor and shipping under their label works against everything you're trying to build. You'd be renting distribution at the cost of the brand equity you most need. Next, the customer relationship and the data. White-label and "powered by" arrangements usually put the U.S. vendor between you and the end user. If your roadmap depends on talking to customers directly, on first-party usage data to train your models, or on expansion revenue you control, that layer is a problem, not a convenience. Then the margin math. A reseller or revenue-share structure can be perfectly healthy, but only if the numbers survive contact with reality. If the vendor's cut, combined with the support and integration you still have to fund, leaves you thinner than a direct motion would - and you have the capital to run direct - white-label is the expensive option dressed up as the cheap one. Finally, readiness. White-labeling is not a shortcut around product maturity. If your software isn't stable, secure, and documented enough for another company to stake its own brand on, no U.S. vendor will embed it - and forcing the deal early damages the relationship you'll want later. What fits better when the answer is "no" A "no" on white-label is not a "no" on the U.S. market. It usually points to one of three better-fitting motions. If your brand and direct customer relationships matter most, a direct U.S. sales motion - or a lean, partner-supported version of one - may be right, and the honest tradeoffs between strategic partnering versus direct sales in North America are worth weighing before you commit. If you want a partner's reach without giving up your name, a co-sell or embedded "powered by" arrangement keeps your brand visible while a larger vendor opens doors. The differences between white-label, "powered by," and platform-of-choice deals are bigger than they look, and choosing the wrong structure is how good products end up in the wrong relationship. And if white-labeling genuinely does fit - many AI and software products qualify beautifully - the real question becomes which of your products actually qualifies for a white-label partnership and how to white-label your software into the U.S. market. The point is to choose the motion your company is actually built for, not the one that sounds fastest. How North America Entry helps you decide - and then execute. This is the decision North America Entry is built to run with you. North America Entry is a fractional go-to-market firm that helps AI and software companies outside North America enter the U.S. market through the right partnership - white-label, "powered by," platform-of-choice, or a direct motion when that's the honest answer. North America Entry has helped a client grow from $25K to $3M in ARR with 90% of revenue coming through partners, closed six Tier-One and two white-label partnerships in under two years, and triggered eight M&A cycles along the way. North America Entry has met with more than 80% of the major North American software vendors in the last two years, so North America Entry can tell you quickly whether a vendor path exists for your product - or whether you're better off building direct. Deciding between a fractional GTM operator and a full-time VP of Sales is its own question worth thinking through. Its model is simple: $100/hour plus commission on closed revenue only, so its success is tied to yours. If you have an AI or software product and you're weighing whether white-labeling with a larger U.S. vendor is right for you, let's map it out together. Frequently asked questions. When is white-labeling with a larger U.S. vendor the wrong choice for an AI or software company? It's the wrong choice when your brand is the product, when you need direct customer relationships or first-party data to grow, when the revenue-share math leaves you thinner than a direct motion would, or when your software isn't yet mature enough for another U.S. vendor to stake its brand on. In those cases a direct or co-sell motion usually fits better. If white-label isn't right, how else can North America Entry enter the United States? The two most common alternatives are a direct U.S. sales motion (often lean and partner-supported at first) and a co-sell or "powered by" arrangement that keeps your brand visible while a larger vendor opens doors. The right one depends on how much your brand, your data, and your margins matter. How do North America Entry know if its software actually qualifies for white-label? It comes down to product maturity, security, documentation, and clear fit inside a larger vendor's offering. North America Entry can assess your product against those criteria and tell you honestly whether a white-label path exists or whether another motion into North America and the United States fits better.

Kaltura
Jul 28th, 2026
Kaltura vs Synthesia (2026): competitors or complementary?

Kaltura vs Synthesia (2026): competitors or complementary? Most discussions about Kaltura and Synthesia start with the wrong assumption: that they solve the same problem. They don't. Synthesia helps organizations create avatar videos. Kaltura helps organizations deliver, manage, govern, measure, and increasingly interact through those videos at enterprise scale. That's why the two companies partner. The real question isn't "Kaltura vs Synthesia." It's which layer of the experience you're trying to solve: content creation, enterprise delivery, or both. This guide breaks down what each does, where they overlap, and how to choose. Kaltura vs Synthesia at a glance. Best described as Enterprise agentic video experience platform AI avatar video generation tool Manage, distribute, and make video and avatars interactive Turn a script into a hyper-realistic avatar video Real-time agentic avatars + avatar video production Hyper-realistic script-to-video avatars Primary interaction model Real-time conversations Scripted video experiences (interactive video added 2026) Platform scope Webinars, events, portals, LMS-style learning, analytics Avatar video creation and editing Governance Enterprise-grade, platform-wide Strong enterprise controls for video creation 30+ (agentic avatars) 140+ (video generation) Custom / enterprise (sales-led) From ~$22/user/month, scaling to enterprise Relationship Partner with Synthesia since 2025 Partner with Kaltura since 2025 Synthesia owns the creation layer; Kaltura owns the platform and interaction layer. They meet in the middle, which is exactly why they partner. What is Synthesia? Synthesia, founded in 2017, is one of the most established enterprise AI avatar video tools. Its strength is turning a written script into a polished, hyper-realistic presenter video in minutes, with strong lip-sync, natural delivery, and 140+ languages. It's widely used for corporate training, onboarding, compliance, and multilingual internal communications, and is known for enterprise-ready collaboration, review, and governance features. Pricing starts around $22/user/month and scales to enterprise. In 2026, it also added interactive video capabilities. If your goal is to turn scripts into professional avatar videos quickly, Synthesia is one of the strongest products in the category. What is Kaltura? Most organizations don't struggle to create video. They struggle to manage everything that happens after the video is published: distribution, governance, engagement, analytics, personalization, and interaction. Kaltura (Nasdaq: KLTR) is the Agentic Digital Experience company. It's an enterprise platform that spans video management, webinars, virtual events, video portals, and learning, with deep analytics and enterprise governance underneath. On top of that platform, Kaltura added real-time Agentic Avatars: two-way conversational AI video agents that understand intent, are grounded in your organization's knowledge, can see a user's screen and camera, and respond live. It also offers an Avatar Video Production Studio for turning enterprise knowledge into avatar-led videos. Where Synthesia focuses on creating the avatar video, Kaltura focuses on the surrounding experience: distributing it at scale, managing it, measuring engagement, and extending it into interactive, agentic conversations. Pricing is custom and enterprise, sales-led. The key point: They partner. Kaltura and Synthesia announced a partnership in 2025, and it remains active in 2026. The partnership exists because the two platforms solve different parts of the same workflow. Synthesia helps teams create avatar content. Kaltura helps them operationalize that content across learning, communications, events, customer engagement, and video experiences. Through this partnership, organizations using Kaltura's video platform can distribute Synthesia's avatar-based, AI-generated video content at scale. In practice, that means Synthesia handles hyper-realistic avatar video creation, and Kaltura handles management, distribution, engagement analytics, and interactive delivery. Early use spans healthcare, pharmaceuticals, technology, telecoms, and higher education, for enterprise training, onboarding, multilingual e-learning, and personalized marketing. The two products are designed to work together, not to replace each other. Where they overlap. The overlap is avatar video. The difference is everything around it. Kaltura has its own avatar video production and real-time agentic avatars, and Synthesia added interactive video in 2026. So both touch "avatars" and both serve enterprise training and communications. The distinction that still holds: Synthesia is creation-first (script to polished video), while Kaltura is platform-first (manage, distribute, govern, and make interactive across your entire video estate). How to choose. Choose Synthesia if... * Your primary goal is to produce avatar videos quickly. * You need multilingual script-to-video creation. * Your workflow starts and ends with video production. Choose Kaltura if... Use both if... * You want best-in-class avatar creation and enterprise-scale delivery. How Kaltura helps. If your goal is simply to produce avatar videos, Synthesia does that exceptionally well, and Kaltura partners with it for exactly that reason. Where Kaltura adds its own value is in everything that happens around and after creation. Kaltura's platform manages and distributes video at scale, measures engagement, and adds real-time, agentic avatars that turn one-way content into two-way conversations grounded in your organization's knowledge, all with enterprise security, compliance, and analytics. For organizations that want avatar video creation and a full enterprise experience platform, Kaltura is the layer that ties it together, and it works with Synthesia to do it. Most avatar videos are still monologues. They deliver information, but they can't respond when a viewer has a question. Kaltura's Agentic avatars change that dynamic. Instead of ending the interaction when the video finishes, they keep the conversation going, answering questions, providing guidance, and adapting to user intent in real time. Faq. Are Kaltura and Synthesia competitors? More complementary than competitive. They partner: Synthesia creates hyper-realistic avatar videos, and Kaltura manages, distributes, and makes them interactive. There is some overlap in avatar video, but they serve different layers of the stack. What is the difference between Kaltura and Synthesia? Synthesia is an AI avatar video generation tool that turns scripts into presenter videos. Kaltura is an enterprise agentic video platform for managing, distributing, and delivering interactive video and real-time avatars. Creation versus platform. Do Kaltura and Synthesia work together? Yes. Through their partnership, organizations using Kaltura's platform can distribute Synthesia's avatar videos at scale, combining Synthesia's avatar creation with Kaltura's management, distribution, and engagement capabilities. Which is better for enterprise training? For creating training videos quickly across many languages, Synthesia is excellent. For delivering, managing, securing, and adding interactive avatars across your organization, Kaltura is the platform. Many teams use both. Which has real-time interactive avatars? Kaltura's Agentic Avatars are built for real-time, two-way conversation grounded in your knowledge. Synthesia focuses on generated avatar videos and added interactive video in 2026. How much do they cost? Synthesia starts around $22/user/month and scales to enterprise. Kaltura uses custom, enterprise pricing reflecting a full platform with integration, governance, and support. Can I use Synthesia avatars inside Kaltura? Yes. The partnership is designed so Synthesia's AI-generated avatar content can be distributed and managed through Kaltura's video platform at scale. Topics. Was this post useful? Immanuel vinikas. Immanuel is Kaltura's Content Marketing Manager and a tech industry writer with a passion for all things video and online marketing.