Online video maker platform for marketing videos
- 8,000+
- video renders completed on the platform
AI Video Generation Services
AI video generation that turns weeks of production into minutes.
Video is the highest-engagement content format, and historically the most expensive to produce at scale. AI video generation changes that trade-off: product demos, training content, marketing creative, and personalised video can now be produced faster and at lower cost than traditional production.
We integrate AI video generation into your products and content workflows, selecting the right model, building the generation pipeline, implementing quality controls, and connecting output to your publishing and distribution systems.
Sora, Runway, Kling, Pika, and HeyGen depending on your use case
Text-to-video, image-to-video, and video editing automation pipelines
AI avatar and talking head video for training and product content
Batch generation for high-volume personalised video production
Recent outcomes
Voice AI · Research
6× deeper insights
Text-based interviews converted to automated phone calls
AI Automation · Ops
20k+ txns day one
Manual invoice OCR across 40+ gas stations
Loyalty · Retail
1,062 users in 4 weeks
SuperValu & Centra loyalty platform with receipt validation
SaaS · Logistics
2,000+ shipments yr 1
Multi-carrier shipping hub for Indonesian eCommerce
4.9
on ClutchThe problem
Sound familiar?
Spending weeks on video production for content that could be generated in hours?
Need training videos, product demos, or marketing content at a volume traditional production can't support?
Short answer
RaftLabs builds AI video generation pipelines for businesses across the US, UK, Europe, Canada, and the UAE: avatar training videos, marketing creative, and personalised outreach at scale. A talking head pipeline starts around $20,000. Train an avatar once on 5-10 minutes of footage; generate new videos from a script in minutes.
Key takeaways
- A talking head or avatar pipeline for training and sales content runs $20,000-$45,000
- A marketing creative generation pipeline with quality controls runs $25,000-$55,000
- Train an AI avatar once on 5-10 minutes of footage and generate any future video from a script in minutes
- Personalised video pipelines generate unique videos per recipient by injecting CRM variables at generation time
- Supported models include Sora, Runway Gen-3, Kling, Pika, HeyGen, and Synthesia depending on content type and volume
- HeyGen avatars generate video in 20+ languages via API from a single trained presenter
Trusted by
The training library that stopped going out of date.
An eLearning team used to rebuild a module every time a procedure changed: script it, book a presenter, film, edit, re-upload. Weeks per update, so modules drifted out of date between refreshes.
Now the presenter is an AI avatar, trained once on a few minutes of footage. When a procedure changes, someone updates the script and the new video renders in minutes. The library stays current with the work, not versions behind it.
That avatar is not a filter on stock footage. It holds the presenter's face, voice, and delivery across every video, dubs into 20+ languages from the same script, and uploads straight to the LMS. The camera is the part you stop needing.
The gap between the video content you want and the video content you can produce has always been a production resource constraint. AI video generation closes that gap for a growing set of use cases.
McKinsey's 2023 State of AI research put marketing and sales among the functions where generative AI creates the most value, with content creation a leading use case (McKinsey, 2023). For video, the shift compresses what once took a production crew weeks into a pipeline run measured in hours.
RaftLabs has been shipping production software and AI products since 2015, rated 4.9/5 on Clutch. A HeyGen-powered avatar pipeline can replace manual production, so content teams publish an updated module the same day a procedure changes. We build the generation pipeline, the quality controls, and the system integrations, not just the API call. The team that scopes your video pipeline is the team that ships it.
AI video pays off when you need volume, not a single hero film.
Everything on the left should already be true for your team. Even one thing on the right, and traditional production is still the better call.
A fit
01
A recurring need for training video, product demos, marketing creative, or personalised outreach at a volume traditional production can't support.
02
Existing systems to connect to: an LMS, a CRM, an ad platform, or a product that needs generation embedded.
03
Budget for a pipeline build from $20,000, and content where an AI presenter or generated scene is a fit.
Not a fit
- A one-off cinematic film with complex scenes and precise physical accuracy.
- Video where realism is legally required: testimony, documentation, or evidence.
- A handful of videos a year, where manual production is cheaper than a pipeline.
What we build
What we build
- 01AI avatar and training videoConsistent presenter video at any volume: train an AI avatar on a real person once from 5 to 10 minutes of footage, then generate every future video from a script alone, no camera, no reshoots. Voice cloning on ElevenLabs matches the presenter, one avatar dubs into 20+ languages via the HeyGen or Synthesia API, and SCORM output uploads straight to your LMS.
- 02Marketing creative generationShort-form video creative for paid ads, social, and campaigns at the volume performance marketing requires: dozens of A/B variations without traditional production costs. Runway Gen-3, Kling, or Pika is matched to the content, one brief generates variations across hooks, lengths, and every platform aspect ratio, and publishing connections upload direct to Meta, TikTok, and YouTube.
- 03Personalised video at scaleUnique video generated per recipient by injecting CRM variables into an avatar script, so the presenter says the recipient's name, references their company, and speaks to their offer. Salesforce or HubSpot data feeds a script template into batch generation on HeyGen or Synthesia, each video lands on a personalised landing page, and views and clicks track back to the CRM.
- 04Product demo automationAutomated demo video generation that keeps product documentation and sales content current with your release schedule, not versions behind. Puppeteer screen recordings, ElevenLabs narration from release notes, and callouts assembled in Remotion or FFmpeg regenerate on a GitHub Actions trigger when a release tag publishes, opening a documentation PR for review; localisation reuses the same recording with only the audio layer changed.
- 05User-facing video generationAI video generation embedded as a feature inside your product, from social content tools to e-learning platforms. A backend API validates each request against plan limits, routes it to the right model across HeyGen, Runway, Kling, and Pika, stores output on S3, and notifies the client by webhook when the video is ready, with quota management blocking overages and content moderation screening prompts and output before anything reaches the user.
- 06Quality control and review pipelinesProduction-grade quality infrastructure for AI video pipelines, because generation is non-deterministic and unreviewed output reaching customers creates brand and compliance risk. Every video passes automated checks, review-required categories route to a human queue with one-click approve or regenerate, and an audit log records parameters, scores, and reviewer decisions for content governance.
GDPR and data-residency requirements for AI-generated content are scoped in week 1, not retrofitted before launch. We have shipped GDPR-compliant AI pipelines for European markets and data-governance frameworks for US enterprise clients.
Ready to scope your AI video generation project?
Walk us through the content you need to produce. We'll tell you which models fit, how the pipeline would run, and what it costs to build.
Our pipeline
The bench-to-broadcast pipeline
A video pipeline is not one build. It is a model choice, an asset pipeline, a QA gate, and a delivery path. We prove each stage on one use case before scaling it to the rest of your catalog.
- Week 101
Bench-test the models on your footage
We shortlist models by content type, then generate against your real scripts and brand footage, not a demo reel. You see side-by-side output and a locked cost-per-minute before any production code exists. Talking head work benchmarks HeyGen against Synthesia; generative scene work benchmarks Sora against Runway and Kling.
- Weeks 2-302
Build the asset and prompt pipeline
The reusable layer: an avatar trained once on 5-10 minutes of footage, an ElevenLabs voice clone, a script template that accepts LMS or CRM variables, a brand kit, and an aspect-ratio matrix for each platform. This is what turns one script into a batch, and one presenter into 20+ language versions.
- Weeks 4-803
Generate through the QA gate
Generation is non-deterministic, so nothing ships unscreened. Every output passes automated checks for visual artifacts, lip-sync drift, and audio-sync, below-threshold results trigger regeneration, and review-required categories route to a human queue. An audit log records the parameters, scores, and reviewer decisions.
- Launch, then expand04
Wire delivery and launch a validated v1
The first shippable slice is one use case wired end to end: SCORM to the LMS, personalised landing pages back to the CRM, or direct upload to Meta, TikTok, and YouTube, with monitoring and regeneration triggers live on day one. Once that v1 proves quality and cost per minute, we scale the same pipeline across the catalog.
Which model fits which job
| Model | Best for | The tradeoff we plan around |
|---|---|---|
| HeyGen / Synthesia | Talking head, avatar, and personalised video | Presenter consistency and 20+ language dubbing, but not open scenes |
| Sora | Cinematic marketing scenes with strong temporal consistency | Highest quality, higher cost and slower generation per clip |
| Runway Gen-3 | Artistic and editorial image-to-video | Strong creative control, weaker at long unbroken shots |
| Kling | Motion-heavy short-form at lower cost | Cost-competitive, less predictable prompt adherence |
| Pika | Short social formats and quick iterations | Fast and friendly, limited for high-stakes brand work |
What clients say
What our clients say
Three-year average engagement. Founders and operators describing the work in their own words. No marketing varnish.
Amer Abu Khajil
CanadaFounder, Peak Studios & Perceptional
I found RaftLabs to be the perfect partner for Perceptional, with their expertise in helping startup founders build MVPs, a free consultation, a prototype that matched my vision, and their unwavering support.
01 / 02
Where AI video breaks, and how we plan around it
Generative video fails in predictable ways. We design the pipeline around each one, not around a demo that happened to land.
- Lip-sync and audio drift
- Avatar mouths fall out of step with the audio on longer scripts. The QA gate screens every clip for sync before it reaches a reviewer.
- Hallucinated text and logos
- Generative models garble on-screen text and warp brand marks. We overlay text and logos as a composited layer instead of trusting the model to render them.
- Non-deterministic quality
- The same prompt yields different results run to run. Regeneration triggers and a human review queue exist for exactly this, so quality does not depend on luck.
- Likeness, consent, and disclosure
- Avatar and voice cloning need documented consent, and some markets now require AI-generated content to be disclosed. We scope both in week 1, not after launch.
- Model deprecation and price change
- The model you launch on can change pricing or shut down. We route generation behind an abstraction layer so you can switch models without rebuilding the pipeline.
The direction of travel is clear. Models are moving from short clips toward longer, controllable scenes, and native audio is arriving. The pipelines that age well are not welded to one model. Putting the model choice behind a routing layer now means you adopt next year's model without rebuilding the asset pipeline, the QA gate, or the integrations wrapped around it.
What does AI video generation cost?
Where you land depends on scope, not negotiation:
- Talking head or avatar pipeline, $20,000-$45,000
- A consistent AI presenter trained once, generating training, product, and sales video from a script in minutes.
- Marketing creative pipeline, $25,000-$55,000
- A short-form ad and social creative pipeline with automated quality controls and direct platform publishing.
- User-facing generation feature, $30,000-$70,000
- AI video generation embedded in your product, with plan limits, model routing, quota management, and content moderation.
Generation cost at volume is separate and modeled up front. HeyGen and Synthesia charge per video minute generated, typically $0.15-$0.50 per minute depending on plan. Runway and Kling charge per second of generated video. We model the expected generation cost at your target volume before you commit.
What it costs
A generation pipeline, starting at $20,000.
The models, the quality controls, and the integrations to your LMS, CRM, or ad platform, scoped and priced before development starts.
Starts at $20,000
Starts at $20,000. Generation cost at volume is modeled up front: $0.15 to $0.50 per video minute on HeyGen and Synthesia, per-second on Runway and Kling. One use case proves the pipeline before it scales to the rest of the catalog.
A single video series or course module proves quality and cost per minute. Scale the pipeline to the rest of the catalog once both check out.
No hourly billing
Once we scope the pipeline, that number is locked in writing. No hourly billing, no surprise invoices, no change fees you didn't sign off on.
Prove it first
We run test generations with the shortlisted models against your real content before writing production code, so you see output quality before you commit to the full build.
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Read moreFrequently asked questions
Sora (OpenAI): high quality, strong temporal consistency, API access. Best for cinematic marketing content. Runway Gen-3: strong creative quality, image-to-video, available via API. Best for artistic and editorial video. Kling (Kuaishou): strong motion quality, cost-competitive. Pika: user-friendly, good for short social formats. HeyGen: specialised for talking head / avatar video, the strongest option for training content and personalised video with a consistent AI presenter. Synthesia: similar to HeyGen for corporate training and L&D. We recommend based on your content type, quality requirements, volume, and whether you need talking head video or generative scene video.
AI video generation is production-ready for: talking head / presenter video with a consistent AI avatar (training videos, product walkthroughs, executive communications at scale), short-form social and marketing creative (15-30 second ad formats), product demo animations from screen recordings or static images, image-to-video for animating product photos and marketing assets, and personalised video where text variables are swapped per recipient. Current limitations: long-form cinematic content with complex scenes, footage requiring precise physical accuracy, and any video where realism is legally required (testimony, documentation).
Services like HeyGen and Synthesia create a digital avatar trained on a real person's video and voice. Once trained (typically from 5-10 minutes of source footage), you provide a script and the system generates a new video of that avatar speaking the script, no camera, no filming, no scheduling. Each new video takes minutes rather than days. Use cases: training content that needs to be updated when processes change, product demo videos for new features, sales videos personalised per prospect, and executive communications at volume. The avatar maintains consistent appearance, lighting, and presentation style across all generated videos.
Yes, at scale. Personalised video pipelines generate a unique video per recipient by templating variables (name, company, specific product recommendation, or offer) into the script before generation. HeyGen and similar platforms support variable injection. At 1,000 personalised videos, the economics are dramatically better than human-recorded personalisation. Use cases: personalised sales outreach, customer onboarding videos addressing individual use cases, and renewal communications referencing the customer's specific usage. Personalisation variables can pull from your CRM.
AI video generation is not deterministic, quality varies across generations. Production pipelines require: automated quality screening (checking for visual artifacts, lip sync accuracy, audio sync), human review queues for flagged outputs before delivery, regeneration triggers when quality falls below threshold, and approval workflows for high-stakes content before it goes to end recipients. We build quality control appropriate to your use case, lighter-touch for internal training content, stricter for customer-facing marketing creative.
Integrating a talking head/avatar pipeline for training or sales content typically runs $20,000-$45,000. A marketing creative generation pipeline with quality controls runs $25,000-$55,000. User-facing video generation features embedded in a product run $30,000-$70,000. Generation costs at volume: HeyGen and Synthesia charge per video minute generated, typically $0.15-$0.50 per minute depending on plan. Runway and Kling charge per second of generated video. We model the expected generation cost at your target volume.
Work with us
Tell us what you need. We'll tell you what it would take.
We scope AI Video Generation Services in 30 minutes. You walk away with a clear cost, timeline, and approach. No commitment required.
- Scope and cost agreed before work starts. No surprises. No obligation.
- Working prototype within 3 weeks of kickoff.
- Pay by milestone. You see progress before each invoice.
- 60-day post-launch warranty. Bug fixes, UI tweaks, and deployment support. No retainer.
- All conversations are NDA-protected.