Scale with AI + Three.js experts.
AI + Three.js resource augmentation for production 3D software
Add engineers who combine deep Three.js experience with practical AI-assisted delivery. We use AI to accelerate research, scaffolding, testing, debugging, documentation, and repetitive implementation, while experienced engineers remain accountable for architecture, rendering quality, security, and browser performance.
For product companies, engineering teams, and SaaS platforms that need specialist browser-3D capacity and technical judgment inside their existing teams.
Selected teams we have worked with
View selected work
Experience earned inside complex 3D products
Our Three.js expertise comes from solving product-specific rendering, geometry, simulation, interaction, and integration problems with real engineering teams.
- 01
Mining digital twins
Strayos
Three.js and WebGL development for large 3D terrain datasets, custom mesh rendering, material editing, UI synchronization, and cinematic fly-throughs.
Read case study - 02
Rooftop solar design
Enact Systems
A browser-native 3D solar design pipeline combining rooftop geometry analysis, sun and shadow simulation, and interactive Three.js visualization.
Read case study - 03
Interior design technology
Foyr
Real-time interior visualization across desktop and VR, supported by a 3D graphics pipeline, interaction engineering, and performance-focused delivery.
Read case study
Add depth where generalist teams slow down.
Three.js work is rarely blocked by JavaScript alone. The difficult part is connecting graphics, product behavior, engineering data, browser constraints, and the rest of the application.
Specialists from the first sprint
Bring in engineers who can reason about scene graphs, transforms, shaders, picking, animation, geometry, textures, memory, and frame time from day one.
Product work beyond the renderer
We connect Three.js to React or Next.js frontends, APIs, product rules, CAD data, CPQ, ERP, CRM, PIM, DAM, analytics, and deployment systems.
Flexible capacity without losing control
Your team keeps roadmap and product ownership. Add one developer, a senior technical lead, or a compact delivery pod around the workstream that needs momentum.
Engineering quality that transfers
Code review, profiling, documentation, release planning, and knowledge transfer are part of the engagement so the capability stays useful inside your team.
AI + Three.js resource augmentation
Move faster without handing judgment to the model.
AI is part of the engineering workflow, not a substitute for Three.js fundamentals. The result is faster execution with clear human ownership of product and technical outcomes.
- Accelerated implementation
- Faster debugging and optimization
- Continuous knowledge capture
- Human engineering accountability
The people your Three.js roadmap may need
AI-enabled Three.js engineer
Rendering, interaction, application architecture, animation, shaders, production debugging, and responsible AI-assisted implementation.
R&D technical lead
Architectural decisions and performance strategies.
3D asset pipeline engineer
CAD-to-web workflows, glTF or GLB preparation, compression, LOD, instancing, and streaming.
Full-stack 3D engineer
Three.js plus frontend, backend APIs, product data, authentication, and enterprise integration.
Hire the shape of Three.js expertise your roadmap needs
Embedded Three.js developer
Add a specialist to an existing frontend, product, CPQ, or visualization squad while your team retains roadmap ownership.
3D application delivery pod
Bring in a compact team for architecture, rendering, product integration, QA, performance, and release ownership.
Specialist optimization sprint
Solve a contained problem such as model loading, frame-rate stability, configurator logic, CAD conversion, or renderer migration.
The stack behind serious web-based 3D applications.
We connect rendering to engineering data, frontend architecture, product rules, commercial systems, performance budgets, and deployment constraints.
Rendering and interaction
Three.js, React Three Fiber, TypeScript, WebGL, WebGPU with WebGL 2 fallback, shaders, TSL, animation, picking, and interaction design.
3D asset delivery
glTF/GLB, KTX2/Basis textures, Meshopt and Draco compression, LOD, instancing, batching, culling, and progressive model loading.
Engineering data
CAD conversion, assembly hierarchies, geometry repair, metadata, BOM structures, measurements, annotations, and product rules.
Configurators and visual CPQ
Variant logic, parametric options, valid combinations, materials, pricing, quote generation, saved configurations, and output automation.
Enterprise integration
CPQ, CRM, ERP, PIM, DAM, e-commerce, authentication, custom APIs, analytics, and existing frontend or backend platforms.
Performance and deployment
Load-time, memory, frame and interaction profiling across target devices, plus cloud, embedded, secure, and on-premise deployment.
A practical first sprint: understand, prove, then scale
- 01
Inspect
Models, codebase, product rules, systems, users, devices, and constraints.
- 02
Instrument
Baseline load time, memory, frame time, interaction latency, and integration risks.
- 03
Implement
Ship one representative workflow through the real 3D application and business stack.
- 04
Transfer
Document decisions, review measured results, and plan the next delivery increment.
AI accelerates the work. Engineers remain accountable.
The value is not more generated code. It is faster movement through well-reviewed engineering work.
- AI output is reviewed by an engineer before it enters the codebase.
- Architecture and rendering decisions stay traceable to product and user constraints.
- Customer code, product rules, models, and data follow agreed access and security boundaries.
- Performance is measured in target browsers, device classes, and representative model sets.
Frequently Asked Questions
Still have questions?
We’re just a message away. Reach out to us. We’re here to assist you.
What is Three.js resource augmentation?
We embed experienced Three.js engineers into your existing product, frontend, CPQ, or visualization team. You keep roadmap and product ownership; we add specialist capacity for rendering, performance, assets, and integration.
Can we hire one Three.js developer?
Yes. Start with one embedded specialist, add a senior technical lead, or bring a compact delivery pod around the workstream that needs momentum.
How do you screen Three.js engineers for our project?
We map the role to your architecture, then screen for scene graphs, shaders, performance, product integration, and the specific constraints of your application.
Can your engineers work inside our existing codebase and process?
Yes. Embedded developers join your frontend, product, CPQ, or visualization squad and work in your codebase, tools, and release process.
What kinds of Three.js products can the team support?
Viewers, configurators, digital twins, solar design tools, interior visualization, mining terrain, CAD-to-web pipelines, and other browser-based 3D products.
How does AI support the embedded Three.js team?
AI accelerates research, scaffolding, testing, debugging, documentation, and repetitive implementation. Engineers remain accountable for architecture, rendering quality, security, and browser performance.
Can you help rescue or optimize an existing Three.js application?
Yes. A specialist optimization sprint can target model loading, frame-rate stability, configurator logic, CAD conversion, or renderer migration.
Tell us what your Three.js team needs to ship, optimize, or unblock.
Discuss the workflow, model complexity, deployment constraints, and the team you need.
We'll respond with a practical starting point.