Synthesia — The Enterprise AI Video Platform That Hit $100M ARR, Rejected Adobe’s $3B Offer, and Now Trains 70% of the FTSE 100
There is a moment in most enterprise software companies’ histories where the market validates not just the product but the thesis behind it. For Synthesia, that moment was not a viral product demo or a celebrity use case — it was a case study from Heineken.
Heineken used Synthesia to train 70,000 employees worldwide in multiple languages, from a single source script, without a camera crew, without studio time, without localization teams rebuilding content market by market. The video was generated in as many languages as the workforce required. The avatar delivered the message in each. The training was consistent across geographies in a way that filmed content rarely is — and it was produced at a fraction of the cost.
The Heineken case study is not exceptional. It is representative. That is the point.
SAP reported 70% faster video asset creation. Moody’s reported 87% reduction in video production time. Five Below reported a 97% reduction in production costs. The pattern holds across industries, company sizes, and use cases: organizations that previously needed studios, on-camera presenters, voice actors, translators, and post-production workflows discovered that they could replace much of that stack with a SaaS product that costs less per year than a single day of traditional video production.
By October 2025, Synthesia had crossed $100M ARR, raised $200M in a Series E led by Google Ventures with Nvidia’s NVentures participating, and achieved a $4 billion valuation. The company had 50,000+ customers and counted 90%+ of Fortune 100 companies and 70% of FTSE 100 companies among them. It had also, at some point before accepting Adobe’s £10M strategic investment, rejected an acquisition offer from Adobe reported at $3 billion — choosing to remain independent at a moment when its own trajectory suggested the $4B valuation it would achieve months later was not ceiling but floor.
This review covers what Synthesia actually is, how the technology works, what its enterprise governance apparatus looks like, how it compares to HeyGen and Colossyan, and what its real limitations are. It is written from public sources, research, and available documentation. We do not test AI video tools hands-on.
The Founders: Research Origins, Academic Pedigree, and a Different Kind of AI Company
Synthesia was founded in 2017 — before the current wave of generative AI investment — by four people whose primary credential was not startup experience but deep research expertise in the specific technical problem the company was solving.
Victor Riparbelli (CEO) came from a background spanning Stanford and Cambridge. He brought the commercial and product instinct to the founding team, and has led the company through every funding round to its current $4B valuation.
Matthias Niessner is a professor at TU Munich and one of the foremost academic researchers in neural face synthesis and video manipulation. His research into deep learning-based video rendering predates the generative AI boom by years. His presence on the founding team means Synthesia was built on research depth rather than assembled from fine-tuned foundation models — a distinction that has compounded over time.
Lourdes Agapito is a professor of computer vision at University College London. Her specialization in 3D reconstruction and computer vision from video is directly applicable to avatar creation and motion capture from minimal input.
Steffen Tjerrild rounds out the technical founding team with additional research and engineering depth.
The academic founding structure matters more than it sounds. Most AI video companies were built by entrepreneurs who aggregated existing models and wrapped them in UX. Synthesia was built by people who had spent years understanding the underlying technical problem — what it takes to generate a photorealistic human speaking naturally, in any language, from a short video recording, without visible artifacts. That foundation gave Synthesia a technical moat in the enterprise market that has proven difficult to replicate quickly.
Funding History
Synthesia’s funding rounds trace an unusually clean arc from research seed to enterprise giant:
| Round | Date | Amount | Key Investors | Valuation |
|---|---|---|---|---|
| Seed | 2019 | $3.1M | — | — |
| Series A | April 2021 | $12.5M | FirstMark Capital | — |
| Series B | December 2021 | $50M | — | — |
| Series C | June 2023 | $90M | — | $1B |
| Series D | January 2025 | $180M | — | $2.1B |
| Strategic | April 2025 | £10M (~$12.7M) | Adobe | — |
| Series E | October 2025 | $200M | Google Ventures (lead), NVentures (Nvidia), Accel, Kleiner Perkins, NEA | $4B |
Total raised: approximately $545M+ (USD equivalent).
The Adobe relationship is unusual and worth examining carefully. Adobe made a strategic investment of approximately £10M in April 2025. But prior to that investment, Adobe had reportedly made an acquisition offer valued at approximately $3 billion — and Synthesia rejected it.
The decision to reject a $3B acquisition while accepting a £10M strategic investment at a $4B valuation reflects a specific judgment: that Synthesia’s independent trajectory exceeded what an acquisition outcome could deliver. By October 2025, when the Series E was announced at $4B, that calculation had already proved correct. Adobe got a small strategic stake. Synthesia got Google Ventures and Nvidia on its cap table, its Content Authenticity Initiative membership, and its continued independence.
The Google Ventures and NVentures (Nvidia) participation in the Series E is also a signal worth noting. Google develops Veo. Nvidia builds the compute infrastructure underlying essentially every AI video product. Their investment in Synthesia is neither accidental nor purely financial.
Revenue and Scale
Synthesia’s revenue trajectory is less precisely documented than HeyGen’s, but the contours are clear:
- Late 2024 / early 2025: Approximately $40M ARR (billing infrastructure benchmark reference)
- October 2025: Revenue “exceeds $100M annually” (Wikipedia, corroborated by Series E announcement context)
- ARR growth trajectory: approximately $40M → $140M over the 2023–2025 period
Supporting scale metrics:
- 50,000+ customers (company homepage stat)
- 1 million+ users creating content on the platform
- 90%+ of Fortune 100 companies using Synthesia
- 70% of FTSE 100 companies using Synthesia
- ~550 employees as of 2025
- Enterprise contracts tripled in the 2025–2026 period
- G2: 4.7/5 stars, 1,799+ five-star reviews; self-described #1 rated AI video generation platform
The Fortune 100 and FTSE 100 penetration rates, if accurate, are remarkable. Enterprise software companies typically spend years and enormous sales budgets to achieve that kind of penetration in their target segments. The figures suggest that Synthesia’s product solves a genuine enterprise pain point — specifically the cost and friction of producing multilingual training and communications video at organizational scale — and that it does so at a quality level enterprises are willing to deploy at.
The G2 rating of 4.7/5 with 1,799 five-star reviews is also notable for being from a platform that weighted heavily toward verified business users. The reviews are consistent on a specific point: the platform is easier to use than alternatives that require video production skill, and the output quality is sufficient for professional internal use.
What Synthesia Actually Does
Synthesia is a browser-based platform for creating AI-generated video featuring a human presenter — an “avatar” — speaking scripted content. The avatar lip-syncs accurately to the input script, can be rendered in 140 languages, and can be customized with organizational branding, background environments, and overlaid graphics. No camera, no studio, no voice actor, and no re-recording for each language are required.
That is the core product. The full platform has expanded significantly from that foundation.
Avatars
The avatar library has grown with each platform revision:
- 240+ stock avatars on Enterprise tier; 180+ on Creator; 125+ on Starter; 9 on Free
- Personal/custom avatars: Created from either a photo (Express-2 technology, ready in minutes) or a 1–5 minute video recording (full quality, ready in approximately 24 hours)
- Express-2 Avatars: The current generation renders professional speaker gestures — waving, pointing, clapping — rather than a static speaking head, which meaningfully improves perceived naturalness
- Voice cloning: Available alongside custom avatars; cloned voices work across 30+ languages
- 1,000+ AI voices available across the platform in multiple styles and accents
Languages and Localization
- 140 languages and accents supported (some sources cite 130 — the figure appears to have updated recently)
- 1-Click Translation (Enterprise tier): translates a completed video into 80+ languages, preserving avatar lip-sync accuracy and applying the cloned speaker voice in the target language
- AI Dubbing: applies translated audio with lip-sync accuracy and speaker voice preservation
- Multilingual video player: automatically detects the viewer’s browser language and plays the appropriate language version without requiring the viewer to select it
The localization stack is where Synthesia’s enterprise value proposition concentrates most clearly. A training video produced once — one script, one recording session, one avatar — becomes a multilingual asset library without additional production cost. For organizations training across multiple regions, this is not a marginal improvement. It is a structural change to how training content is created and maintained.
Content Creation Tools
- AI Video Assistant: converts decks, PDFs, and websites into video scripts and production-ready videos
- AI Script Assistant: in-editor script generation and refinement
- AI Screen Recorder: records screen with automatic voiceover transcription layered on top
- 60+ video templates across use cases (onboarding, product demo, training, compliance, etc.)
- Brand Kit: organizational color palette, fonts, and logos applied consistently across all videos created in a workspace — not just recommendations, but enforced defaults that editors work within
- AI Playground: access to external generation models including Sora 2, Veo 3.1, FLUX.2, and Nano Banana Pro for B-roll, backgrounds, and supplemental content
Interactive Video
- Quizzes and knowledge checks embedded within video
- CTAs (calls to action) and branching scenarios
- Analytics dashboard: tracks views, watch time, engagement, clicks, and quiz completion
- This capability is important for L&D specifically — interactive quizzes embedded in training video transform passive consumption into verifiable learning, which is what L&D compliance frameworks typically require
Publishing and Distribution
- SCORM export (Enterprise tier) — standard package format for LMS integration
- Public video pages, password-protected video pages, and SSO-gated video pages (Enterprise)
- Embeds with live update propagation: when a source video is edited, all downstream embeds automatically reflect the change — without re-publishing or re-sharing links
- This is a genuinely useful feature for organizations that embed training videos in intranets, wikis, or portals: correcting an error in a training video no longer requires finding and updating every place it was embedded
Collaboration and Governance
- Live real-time team collaboration on video projects
- SAML/SSO (Enterprise)
- User role controls — tailored access levels across workspace
- Content moderation: dedicated Trust & Safety team, 24/7 review, explicit policy against impersonation of public figures
- ISO 42001: world’s first AI video company to achieve this certification for AI management systems
- ISO 27001: information security management
- SOC 2 Type II
- GDPR compliance
SCORM Export: The Feature HeyGen Doesn’t Have
SCORM (Sharable Content Object Reference Model) is the technical standard for packaging e-learning content so it can be tracked and managed by a Learning Management System. When a learner watches a SCORM-packaged video module in an LMS like Docebo, Moodle, or SAP Litmos, the LMS receives structured data: did the learner complete the module? Did they pass the embedded quiz? How long did they watch?
This is not a marginal feature for enterprise L&D. It is the foundational requirement for compliance training. Organizations in regulated industries — finance, healthcare, pharmaceutical, legal, manufacturing — are legally required to demonstrate that specific employees completed specific training modules. Without SCORM, video content cannot be inserted into the compliance tracking infrastructure that satisfies those requirements.
HeyGen does not offer SCORM export. D-ID does not offer SCORM export. Runway does not offer SCORM export. Pika does not offer SCORM export.
Synthesia does, on Enterprise plans.
This single feature explains a significant fraction of Synthesia’s enterprise penetration. An AI video tool that cannot integrate with the compliance tracking infrastructure of large organizations is a productivity tool. An AI video tool that can is a compliance infrastructure tool. The difference in how IT security, legal, and L&D departments evaluate and approve those two categories is enormous.
Synthesia’s LMS integration list reflects this positioning:
20+ LMS platforms: 360Learning, aNewSpring, Articulate 360, Coassemble, Docebo, eloomi, Easygenerator, Eduflow, ETU, Kaltura, Kumullus, Lectora, Moodle, SAP Litmos, TalentLMS, Thinkific, Thought Industries, uQualio, Udemy, Wisetail.
That is not a list assembled for marketing reasons. It is a list assembled because each of those LMS platforms has customers who evaluated Synthesia’s SCORM integration as part of their purchasing decision.
Developer API
Synthesia’s REST API (v2.0) is available on Creator plans and above.
Authentication: API key in Authorization header (account-level key)
Core capabilities:
- Create, update, and delete videos
- Create video from template
- Retrieve video status and download links
- List and retrieve templates
- Create and delete webhooks
- Upload script audio
- Create assets (images, audio files for reuse)
Webhooks: Event-driven notifications on video completion, with signed payloads for verification and automatic retry (twice over 10 minutes on failure)
Rate limits by tier:
| Tier | Write (req/min) | Read (req/min) |
|---|---|---|
| Creator | 60 | 60 |
| Enterprise Tier 2 | 80 | 80 |
| Enterprise Tier 1 | 120 | 120 |
The API is functional and covers the most important automation use case: submitting a script and receiving a completed video. For organizations building internal tooling to automate L&D content production — for example, a workflow that generates a new training video whenever a compliance document is updated — the API is the integration point.
MCP Server: Not Yet
Synthesia does not have an official MCP server as of this writing. The company is not listed in the Anthropic MCP registry. One community-maintained GitHub repository (TPFLegionaire/synthesia-mcp) was created in April 2025 but has zero stars and essentially no activity — it is not a functional resource.
This is a meaningful gap relative to HeyGen, which launched an official MCP server (available at heygen.com/model-context-protocol) that covers credits, voices, avatars, and video generation. HeyGen’s MCP server is listed in the Anthropic registry and supports Claude Web, Claude Code, Claude Desktop, Gemini CLI, and Cursor.
The absence of an MCP server does not affect Synthesia’s core enterprise L&D market — enterprise L&D buyers do not require MCP integration. But it does matter for the developer and AI-power-user segment that increasingly uses MCP as the standard interface for tool orchestration. If Synthesia’s “Video Agents” feature (currently listed as “coming soon”) is intended to compete in the AI-driven autonomous workflow space, MCP server support will become a prerequisite.
Pricing
| Tier | Price | Video Minutes | Avatars | Notable Features |
|---|---|---|---|---|
| Free | $0/month | 10 min/month | 9 | No download, 1,200 credits/month |
| Starter | $29/month | 10 min/month | 125+ | Downloads, AI dubbing, logo removal |
| Creator | $89/month | 30 min/month | 180+ | API access, 5 personal avatars, interactive video, branded pages, priority support |
| Enterprise | Custom | Unlimited | 240+ | SCORM export, SAML/SSO, 1-Click Translation (80+ languages), unlimited personal avatars, dedicated CSM, brand kits, live collaboration, password/SSO-protected video pages |
Annual billing reduces prices by approximately 38%; Synthesia’s current marketing page advertises plans “starting from $18/month” (annual billing on Starter tier).
The pricing structure has a sharp cliff at Enterprise: SCORM export, unlimited minutes, SSO, 1-Click Translation, and dedicated customer success management are all gated there. For organizations whose primary use case is compliance training at scale, the negotiation is essentially “what does Enterprise actually cost for our seat count?” — the feature requirements point unavoidably to that tier.
Integrations
Beyond the LMS ecosystem, Synthesia connects across several workflow categories:
CRM / Customer Success: HubSpot, Intercom, Userpilot, ChurnZero
Content & Publishing: YouTube, Vimeo, WordPress, Notion, Medium
E-commerce: Shopify, BigCommerce, Squarespace
Workflow Automation: Make, Monday.com, Workato
Localization: Blanc, Crowdin, Stellar Labs
Interactivity enhancement: Mindstamp (adds branching/quiz overlays)
Productivity: PowerPoint (add-in), FlowShare
Strategic partner: Adobe (investor, Content Authenticity Initiative co-member)
The Adobe relationship deserves its own note. Adobe is simultaneously a Synthesia investor, a Content Authenticity Initiative co-member, and an operator of AI generation tools (Adobe Firefly, Adobe Premiere generative features) that partially overlap with Synthesia’s capabilities. The relationship is genuinely complex: Adobe invested after Synthesia rejected a $3B acquisition, which suggests both parties determined that strategic alignment (standards development, content authenticity, enterprise trust) was achievable without consolidation.
Enterprise Security and Compliance Architecture
Synthesia’s enterprise compliance infrastructure is the most comprehensive in the AI video category:
Certifications:
- ISO 42001 — AI management systems standard. Synthesia is, per their claim, the first AI video company to achieve this certification. ISO 42001 is the published international standard for AI risk management, governance, and responsible deployment; it addresses specifically the kinds of governance concerns that enterprise procurement teams raise about generative AI tools.
- ISO 27001 — Information security management
- SOC 2 Type II
- GDPR compliance
Ethical framework:
- Content Authenticity Initiative (CAI) member: alongside Adobe, Nvidia, and Microsoft, for synthetic media provenance standards. CAI membership means Synthesia-generated content can carry cryptographic provenance metadata — a mechanism for verifying that a video was AI-generated rather than forged.
- Partnership on AI (PAI) member for synthetic media ethics standards
- Avatar Governance Framework: published formal governance framework and policy template for digital replica standards. Organizations deploying Synthesia-generated avatar content can reference and adapt this framework for their own policies.
- Trust & Safety team: dedicated, 24/7 content moderation
Avatar consent program:
- Personal avatar creation requires a live consent recording — not an uploaded video, a live-recorded consent — preventing the avatar creation workflow from being used without the depicted person’s active participation
- Actor opt-out protocol for stock avatar talent
- KYC-like screening for creator accounts
This governance apparatus is not window dressing. It is the reason Fortune 100 IT security and legal teams approve Synthesia while they are still evaluating whether to approve competing products.
Deepfake Misuse: The 2023 Incident and the Response
In October 2023, Freedom House’s “Freedom on the Net 2023” report documented that Synthesia’s platform had been used to create AI-generated fake news anchors used for government propaganda by actors in Venezuela, China, Burkina Faso, and Russia.
This was a significant incident. The platform’s ease of use and quality — the very things that made it commercially successful for enterprise L&D — were the same things that made it attractive to state-level disinformation operations.
Synthesia’s response was comprehensive:
- Enhanced user screening beginning February 2024
- KYC-like consent procedures for avatar creation formalized
- Launch of the Avatar Governance Framework
- Content Authenticity Initiative membership
- Trust & Safety team expansion and explicit policy prohibition against impersonating politicians, journalists, or celebrities in any context — “no impersonations, no gray areas” per their stated policy
The incident is worth contextualizing. Any platform that enables credible talking-head video without a camera can be misused for disinformation. Synthesia was named specifically because it was the highest-quality and most accessible product at the time. The response — governance framework, CAI membership, ISO 42001, enhanced screening — represents a serious attempt to address the underlying problem rather than to manage the reputational fallout.
Whether those measures are sufficient is a question that researchers, regulators, and CAI co-members continue to work on. Synthesia’s transparency about the incident and the specificity of the remediation response is meaningfully different from companies that deny or minimize similar incidents.
Notable Customer Case Studies
The enterprise case studies Synthesia publishes are not aspirational claims. They are the kind of operationally specific results that procurement teams can evaluate against their own cost structures:
| Customer | Use Case | Reported Outcome |
|---|---|---|
| Heineken | Global employee training, 70,000 employees | Multilingual training deployed across regions |
| SAP | Internal video production | 70% faster video asset creation |
| Moody’s | Sales enablement | 87% reduction in video production time |
| Five Below | L&D | 97% reduction in production costs |
| Mondelēz | Localization | 100 hours of localization work in 10 minutes |
| Booz Allen Hamilton | L&D course creation | 8-hour course produced in 3 weeks |
| OpenText | L&D | 50% faster video production |
| Boldyn Networks | Interactive training | 95% course completion rates |
| Brinks | Onboarding | 15 training videos produced in one day |
| Sky Italia | Learning paths | 100+ learning paths, 4x faster product launches |
| UBS | AI analyst avatars | Financial expert digital clones deployed |
| KnowBe4 | Cybersecurity training | Partnership for AI-generated security awareness content |
The UBS case study is notable for a specific reason: UBS deployed AI avatars of real financial experts and analysts as official communication tools. This is a more demanding use case than training video — it requires stakeholder trust in the avatar’s fidelity to the real person’s communication style, regulatory compliance in how financial communications are attributed, and ongoing governance over the avatar’s deployment. That UBS deployed this in a regulated financial context is a data point about both Synthesia’s quality ceiling and the enterprise compliance architecture that makes such deployments approvable.
Competitive Positioning
Synthesia vs. HeyGen
These two companies are the closest thing to a head-to-head competition in the AI avatar video space, but their positioning diverges substantially once you look past the surface similarity.
HeyGen’s strengths: Official MCP server (Synthesia has none), real-time WebRTC streaming avatars for live interactive use cases, stronger consumer-accessible pricing and onboarding, viral translation feature that drove consumer awareness, 1,024% ARR growth and $100M ARR achieved in parallel with Synthesia. HeyGen serves the marketing and sales video use case better than any current alternative.
Synthesia’s strengths: SCORM export (HeyGen has none), 20+ LMS integrations (HeyGen has minimal LMS focus), ISO 42001 (first in category), Fortune 100 / FTSE 100 penetration, Avatar Governance Framework, CAI membership, Brand Kit for organizational consistency, interactive video with LMS-trackable completion. Synthesia owns the enterprise L&D use case more completely than any competitor.
The practical split: An organization producing marketing videos, sales prospecting videos, or consumer-facing content will likely prefer HeyGen’s product, API, and MCP integration. An organization running a compliance training program, onboarding curriculum, or multilingual L&D initiative inside a Fortune 500 structure will likely require Synthesia’s SCORM, LMS integrations, SSO, and governance certifications regardless of HeyGen’s feature quality.
Synthesia vs. Colossyan
Colossyan is Synthesia’s most direct L&D-segment competitor. Both target enterprise training video specifically. The practical difference is scale: Synthesia has 50,000+ customers, Fortune 100 penetration, and $100M ARR. Colossyan is building in the same direction but from a smaller base with fewer integrations and lower enterprise penetration. For organizations evaluating both, Synthesia’s LMS ecosystem, compliance certifications, and case study depth give it a substantial procurement advantage.
Synthesia vs. D-ID
D-ID’s primary strength is its developer-first API and real-time video agent capabilities for customer-facing applications — chatbots, digital assistants, interactive customer service avatars. Synthesia’s “Video Agents” feature (listed as “coming soon”) intends to compete in this space, but D-ID has a head start in the real-time, developer-API-first segment. For production video workflows and L&D, Synthesia has no meaningful competition from D-ID.
What Synthesia Is Not
It is not a creative video tool. Runway, Pika, Kling, and Sora generate cinematic motion video from prompts or images. Synthesia generates a person speaking to a camera. The use cases are almost entirely distinct. A creative agency producing a film or advertisement is not Synthesia’s customer.
It is not the cheapest way to make a talking-head video. For individual creators or small teams who need occasional presenter video, HeyGen’s pricing and UX are more accessible. Synthesia’s pricing is structured for organizational procurement, not individual creative use.
It does not yet have an MCP server. For developers building AI-native workflows that orchestrate tools via MCP, Synthesia is not yet a first-class participant. HeyGen is ahead here.
It does not offer real-time streaming avatars. HeyGen’s LiveAvatar feature enables interactive video experiences via WebRTC. Synthesia’s production video workflow is asynchronous — you submit a script, a video is generated and returned. The “Video Agents” feature on Synthesia’s roadmap suggests this will change, but the real-time capability does not exist today.
Synthesia 3.0 and the Current Platform
Synthesia launched what it called “Synthesia 3.0” in 2025 — a platform revision with new security, privacy, and product policies alongside updated UX and capabilities. The Express-2 avatar technology (natural gestures, not just head movement) was part of this release. The AI Playground — giving users access to Sora 2, Veo 3.1, and other generation models for supplemental content — also launched in this period.
The “Video Agents” feature, Synthesia’s apparent answer to HeyGen’s LiveAvatar and D-ID’s conversational video use cases, was listed as “coming soon” as of mid-2026.
Why the Adobe Rejection Matters
The decision to decline a reported $3 billion acquisition from Adobe — and then accept a £10M strategic investment at a $4B valuation — is worth interpreting carefully.
A $3 billion acquisition offer from Adobe would have been a significant outcome for any AI startup by any measure. Synthesia’s founders, investors, and board evaluated that offer and concluded that the independent trajectory was more valuable.
The October 2025 Series E at $4B proved the arithmetic correct on a short time horizon. But the more interesting signal is the nature of the deal they did take: a small strategic investment from Adobe that buys alignment on content authenticity standards, joint enterprise positioning, and a seat in the Content Authenticity Initiative without surrendering independence, roadmap control, or the option to partner with Adobe’s competitors.
Google Ventures and Nvidia’s NVentures then led a $200M Series E. The outcome is a company with Adobe, Google, and Nvidia on its cap table — the three most significant players in enterprise AI creation infrastructure — while remaining independent and operating toward a valuation trajectory that the founders clearly believe will exceed any acquisition price offered to date.
Rating: 4 / 5
What earns the four stars:
The enterprise L&D case for Synthesia is not merely compelling — it is the most defensible position in the AI video market. SCORM export, 20+ LMS integrations, ISO 42001, Fortune 100 penetration at 90%+, the Heineken/SAP/Moody’s case study depth, and a governance architecture that satisfies enterprise procurement teams across regulated industries add up to a product that has carved out territory competitors cannot easily take without years of enterprise sales investment.
The funding trajectory ($545M+ raised, $4B valuation) and revenue scale ($100M+ ARR, tripling enterprise contracts) confirm that the market is real and the company is executing. The Series E with Google Ventures and Nvidia is a signal from the infrastructure layer that Synthesia’s position is worth protecting.
What keeps it at four instead of five:
The absence of an MCP server is a genuine gap as the ecosystem moves toward tool orchestration. The deepfake misuse incident in 2023 — however responsibly addressed — is a reminder that high-quality avatar technology has real misuse risk that governance frameworks partially but not completely mitigate. The “Video Agents” feature, which would address Synthesia’s real-time avatar gap, remains on the roadmap rather than in production. And for non-enterprise use cases — individual creators, small teams, developer-first workflows — Synthesia’s pricing and positioning create friction that HeyGen does not.
The bottom line: If you are evaluating AI video tools for compliance training, onboarding, or multilingual L&D at organizational scale, Synthesia is likely your answer, and SCORM support combined with its LMS integration breadth probably makes the decision before you finish the evaluation. If you are building developer-first workflows, marketing video automation, or real-time interactive avatar applications, HeyGen’s MCP server and LiveAvatar are more relevant today.
The two companies are building toward the same long-term destination from different starting positions. Right now, they serve different buyers. That is not a flaw in either product — it is the current state of a fast-moving market sorting itself out.
ChatForest researches AI tools from public sources — documentation, press coverage, case studies, and technical papers. We do not receive compensation from any tool provider. We do not have hands-on platform access.