Scaling a Generative AI Video Platform
INDUSTRY
Digital Human Transformation
SERVICE
AI Video Platform
DELIVERY MODEL
Team Augmentation
Generative AI video and interactive avatars for human-centric digital engagement
"The premier digital human interface, empowering brands to deliver clear, personalized communication at scale across all platforms"
Computer Vision / Generative AI - LLM Application. The client's platform is built on deep learning-based face animation and lip-sync technology, combined with large language model text generation and text-to-image synthesis. The result is a system that converts static images and text scripts into photorealistic, talking AI avatar videos - streamed in real time or rendered on demand.
Generative AI Video Platform
Our client is a leading generative AI company and pioneer of the digital human category, delivering a platform for AI-generated videos and real-time interactive avatars that enable humanlike communication at scale. Through its flagship creative studio, visual AI agents, and developer API, the client combines deep-learning face animation, voice cloning, and LLM integration to power use cases across marketing, sales, customer experience, and learning & development — with support for 120+ languages and enterprise-grade security.
The core challenge: Operational resilience and seamless cultural integration
Operating under the pressures of a wartime environment, the project required managing two parallel workstreams - SDK and Studio - within a restricted-authority outstaffing model. The challenge lay in maintaining high-velocity output and enterprise-grade code quality while seamlessly integrating with a fast-moving in-house team. By focusing on process optimization and people management, we ensured consistent delivery and alignment with the client's strategic vision despite external volatility and limited decision-making scope
Resilience in High-Stakes Environments
Maintaining consistent delivery and team stability while navigating the logistical and emotional complexities of operating within a volatile wartime reality in Israel
Dual-Workstream Orchestration
Simultaneously coordinating two distinct product pillars - the technical SDK and the creative Studio - under a unified PM layer to ensure cross-functional alignment and resource efficiency
Process-Led Outstaffing Leadership
Operating within a model where the client retains final architectural and scope authority, shifting the PM focus toward expert people management, workflow optimization, and high-fidelity execution
Seamless In-House Integration
Embedding external talent into a fast-paced, established engineering culture, ensuring full alignment with the client’s internal pace while strictly upholding enterprise-grade code quality
Scaled Creation, Real-Time Interaction
Its flagship creative studio platform enables organizations to create AI-generated videos featuring digital humans at scale, without traditional video production. Users provide a photo, a text script, and a voice selection - the platform generates a fully lip-synced, animated video in minutes. The same technology powers real-time Visual AI Agents: interactive digital humans that can carry on face-to-face conversations, answer questions, and trigger workflows autonomously.
Key platform components:
Self-service video creation for business users
Real-time conversational avatar deployment
Developer-facing integration layer for third-party apps
Ongoing content creation interface for enterprise clients
Users span marketing agencies, Fortune 500 companies, eLearning platforms, media companies, CX teams, and developers integrating via API.
Main Business Goal
The client's core business objective is enabling new capabilities and improving efficiency for organizations that need to communicate visually at scale. Specific goals addressed by the platform:
Reduce video production costs - replacing expensive studio shoots with AI-generated content
Enable multilingual scale - 120+ language support without re-recording
Increase revenue through self-serve and API channels
Enhance user experience via interactive AI agents that provide personalized, real-time engagement
Enable new product capabilities such as real-time avatar streaming and agentic video workflows
Technical Work Delivered by Waverley
Waverley provided three senior JavaScript engineers across two concurrent workstreams:
Project 1 - SDK (1 Full Stack Node.js engineer):
Built the client developer SDK from scratch in Node.js
Designed and implemented the API integration layer for third-party developers
Scope and architecture driven by the client's internal engineering team
Project 2 - Self Service Studio (2 Node.js / React engineers):
Ongoing feature development and support on the existing Self Service Studio product
Front-end work in React, back-end in Node.js
Continuous delivery within Scrum sprints managed by the client
Operational delivery standards met:
Daily time logging and detailed monthly reports to client
Zero critical defects target; 95%+ accuracy in deliverables
Seamless integration into the client's in-house engineering team
Measurable improvements across engagement and efficiency
Team ramp-up
3 engineers fully onboarded and contributing within the first sprint
Client satisfaction target
90%+ satisfaction, monitored via monthly feedback calls
Defect rate
Zero critical defects reported
Delivery rate
100% milestone completion per project plan
SDK delivery
New Node.js SDK built from scratch and shipped
Studio continuity
Uninterrupted feature delivery on Self Service Studio
As an outstaffing engagement, Waverley engineers were embedded directly into the client's teams and productivity benchmarks were owned by the client.
Reported operational outcomes:
3 engineers delivered across 2 parallel workstreams simultaneously from day one
Monthly reports provided full transparency on time allocation per feature/task
Twice-monthly PM-team syncs and monthly TL calls kept delivery tightly aligned with client expectations
Scrum cadence (standups, demos, retros, planning) maintained without disruption
Waverley delivered a fully embedded engineering pod that gave the client predictable, on-demand capacity to expand its product footprint without growing in-house headcount. The engagement consistently hit its commercial success criteria: 100% milestone completion, zero critical defects, and 90%+ client satisfaction. The outcome is a long-running, trust-based partnership that lets the client concentrate its internal team on core AI innovation while Waverley reliably accelerates adjacent product workstreams.
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