Zqelvorith AI connects every stage of 3D modeling, visualization, and rendering in one intelligent platform. From client briefs and CAD/BIM verification to project estimates, asset preparation, 3D production, rendering, quality reviews, and final delivery, every stage stays connected. AI identifies missing requirements, highlights design revisions, forecasts delivery delays, detects rendering problems, and summarizes production risks. With source files, approvals, deliverables, and invoices linked to each project, studios can reduce rework, improve delivery reliability, and maintain control over project costs.
The Zqelvorith AI Dashboard gives 3D studio leaders one connected view of active projects, production progress, rendering workloads, pending approvals, and project costs. It forecasts delivery delays, identifies stalled projects, highlights failed rendering tasks, and detects potential budget overruns. AI summarizes production risks, explains issues such as missing assets, excessive revisions, and rendering delays, and directs each issue to the responsible module for human review and action.
94% of approvals are aligned. Pricing decisions, engineering design authority and final client acceptance stay with people; AI only prepares the summaries they review.
From fragmented instructions to connected production records.
Target reduced time spent tracking client briefs, design revisions, artist handoffs, render progress, and approval requests.
Keep project information traceable from intake to delivery.
Target complete records for approved source files, estimates, asset dependencies, scene revisions, rendering progress, and client approvals.
Less repetitive documentation and manual coordination.
Target four hours saved per coordinator per week through document extraction, asset retrieval, revision summaries, render-log checks, and delivery reconciliation.
Prevent repeated corrections caused by incomplete or outdated information.
Target fewer correction hours arising from wrong drawing revisions, missing texture dependencies, incomplete specifications, and untracked changes.
Note: Proposed pilot targets only, not verified results or industry benchmarks. Actual performance depends on project complexity, existing studio processes, user adoption, and available integrations. Validate improvements against measured pre-implementation baselines.
3D visualization studios, photography studios and print production teams each run their work differently, with their own briefs, approvals and deliverables. Zqelvorith AI follows one project record from intake and estimates through assets, production, rendering, review and closeout, and sits beside platforms built around the data flow of photography and printing.
Zqelvorith AI connects every stage of the 3D production lifecycle through one project record. Client briefs, CAD/BIM drawings, project estimates, approved assets, production scenes, rendering outputs, quality reviews, and final invoices move through seven connected operational stages. AI helps extract project requirements, identify drawing conflicts, track production risks, analyze render failures, and verify deliverables. Every stage passes approved information to the next, while human reviewers remain responsible for design decisions, commercial approvals, and final client acceptance.
Collect client briefs, CAD/BIM drawings, reference images, and project requirements in one place. AI extracts key details, identifies missing information, and flags conflicting design revisions. Verify the source documents and pass an approved project brief to Estimating.
Calculate modeling hours, rendering costs, asset requirements, and revision allowances based on the approved client brief. AI helps identify missing cost items and supports quotation preparation. Output an approved project scope, budget, and asset requirements for production.
Organize 3D models, textures, HDR environments, and licensing information against the project. AI searches and classifies assets, identifies missing dependencies, and flags incomplete license records. Output an approved asset collection and dependency manifest.
Track modeling, geometry preparation, materials, lighting, and camera setup against the approved scope. AI highlights design changes, missing approvals, and blocked handoffs between artists. Output a reviewed scene revision, ready for rendering.
Monitor rendering progress, animation frames, machine workloads, and failed tasks. AI analyzes available render logs, identifies possible failure causes, and estimates remaining rendering time. Pass completed images, frame sequences, and technical records to Review.
Review rendered images, compare versions, record visual defects, and collect client feedback. AI summarizes comments, identifies repeated issues, and highlights changes that may affect the agreed scope. Pass quality-checked, client-approved deliverables to Closeout.
Verify final renders, animation files, asset licenses, and client acceptance against the approved scope. AI flags missing deliverables and unapproved charges before handover. Complete the delivery package, prepare the final invoice, and track project settlement.
Zqelvorith AI connects client requirements, project estimates, 3D assets, production scenes, rendered outputs, approvals, and invoices through one project record. AI helps identify missing information and production risks, while people remain responsible for final decisions.
Receive client briefs, CAD/BIM drawings, reference images, and project requirements. AI extracts key details and flags missing information or conflicting revisions. The team verifies the source documents, calculates modeling and rendering costs, and approves the quotation.Output: Verified project brief, approved scope, budget, and asset requirements.
Organize approved 3D models, textures, HDR environments, and material references. Artists prepare geometry, apply materials, configure lighting, and set cameras. AI highlights missing dependencies, design changes, and unresolved production requirements.Output: Approved asset package and render-ready 3D scene.
Track render jobs, animation frames, and output files. AI analyzes available render logs, flags failures, and summarizes revision feedback. Reviewers inspect visual quality, compare image versions, request corrections, and approve final deliverables.Output: Quality-checked, client-approved images and animations.
Verify final files against the approved scope, confirm asset licensing and client acceptance, and reconcile approved changes. AI highlights missing deliverables or billing discrepancies before the team issues the final invoice and records payment.Output: Final delivery package, invoice, payment record, and completed project archive.
Receive client briefs, CAD/BIM drawings, reference images, and project requirements. AI extracts key details and flags missing information or conflicting revisions. The team verifies the source documents, calculates modeling and rendering costs, and approves the quotation.
Output: Verified project brief, approved scope, budget, and asset requirements.
3D studios manage client briefs, CAD/BIM files, estimates, models, rendering, reviews, and invoices across different applications. Zqelvorith AI connects these stages through one project record, keeping approved source revisions, production progress, client decisions, and final deliverables traceable.
Studios rely on separate modeling applications, rendering engines, spreadsheets, shared folders, and email conversations. Teams manually reconcile source revisions, production tasks, render failures, client feedback, and invoices.
Traditional studio workflows
AI extracts requirements from client briefs, CAD/BIM references, and technical documents. The team verifies drawing revisions, missing dimensions, and source authority before approving the project brief.
Output: Verified project brief and approved source register.
Build estimates for modeling, materials, rendering, and revisions. AI highlights missing cost items while calculation rules determine project budgets, margins, and quotation totals.
Output: Approved quotation, project scope, and budget.
Manage 3D geometry, texture maps, HDR environments, and asset dependencies. AI helps classify reusable assets, search approved libraries, and flag missing license records.
Output: Approved asset collection and dependency manifest.
Track geometry, UV mapping, materials, lighting, and camera setup. AI summarizes design changes, identifies blocked handoffs, and highlights missing approvals before rendering.
Output: Approved render-ready scene.
Track completed frames, rendering failures, and visual revisions. AI analyzes available render logs, compares supported images, and summarizes review comments. Human reviewers approve final outputs.
Output: Quality-checked, client-approved renders and animations.
Verify final deliverables, license records, client acceptance, and approved variations. AI identifies missing files or billing discrepancies before invoice preparation and project closure.
Output: Delivery package, invoice, and settlement record.
Note: Zqelvorith AI is designed to coordinate studio operations alongside existing 3D creation and rendering tools. Named technologies are proposed integration options, not confirmed live integrations. AI assists with analysis; people retain approval authority.
Zqelvorith AI brings your 3D production tools, creative workflows, and business operations into one connected environment. From CAD/BIM files and asset preparation to modeling, rendering, client reviews, and final invoicing, project information stays linked across every stage. AI helps extract requirements, identify source conflicts, analyze rendering failures, and track deliverables, while teams retain control over creative decisions and approvals.
Note: Illustrative integration ecosystem for Zqelvorith AI. Actual availability depends on provider APIs, supported access methods, licensing, account permissions, and integration development. Displayed tools represent potential integrations and do not imply existing partnerships or currently active connections.
Zqelvorith AI follows one project identifier. A verified brief becomes an approved scope; the scope drives asset preparation and the production scene; the approved scene is rendered, and render outputs go through review. Approved outputs feed Closeout, so the final invoice traces back to what was approved. AI assists at each step and people approve.
Built for end-to-end 3D production operations
The AI agents behind scheduling, render capacity, stage handoffs and delivery forecasts need monitoring too. Nestack Agents, a separate Nestack service, adds telemetry, evaluations, guardrails, human review, and a crew on call when an agent starts drifting — before scheduling, capacity or reporting errors reach your clients.
Operations agents are catalogued on Nestack Agents.
Zqelvorith AI helps studios keep source revisions traceable, asset licenses recorded and client personal data controlled. Formats, project-information standards, licenses and statutes are different things, and each is shown for what it is. Every stage supports human approvals, controlled access and the retention of records that disputes and audits rely on.
The neutral file format studios commonly receive CAD product models in. STEP files can be received as source documents in Intake; the platform keeps each revision traceable and flags revision discrepancies from supported file data for human review. It does not certify the design.
An open data schema for exchanging BIM model data, for studios visualizing architectural projects. IFC files can be received as source documents in Intake; the platform reads supported file data and does not certify the design or the file's conformance.
A standard format for transmitting 3D scenes and models. Assets in this format are tracked in the Assets manifest alongside their textures and dependencies, so missing files surface before production starts.
Licenses that set the attribution, share-alike and commercial-use terms of reusable assets. Zqelvorith AI records the license against each asset, flags incomplete license records, and checks them again at Closeout; people confirm the terms of use.
Client contacts, approver identities and user accounts are personal data, and higher-tier infringements can reach €20 million or 4% of worldwide turnover. Zqelvorith AI supports role-based access, controlled retention and traceable approval records across every stage.
Note: These are rules and standards the platform is built to support inside your workflows — obligations that fall on you as the licensee. They are not certifications held by us, and support in the product is not a substitute for your own counsel or compliance officer.
A companion hardware option that pairs with Zqelvorith AI. It carries large project files between workstations and render machines, so source files, approved assets, scenes and final deliverables can be registered against the project record rather than left as another file on someone’s desktop.
Keep Your Project Files Within Reach.
Carry CAD/BIM source files, approved assets, scene files, and render outputs between workstations and render machines. Files moved on the drive can be registered against the project in Intake, Assets, Rendering, and Closeout, so handoffs stay traceable through to final delivery.
Note: Hardware, installation, and integration are not included in the standard subscription. Additional charges apply based on the hardware selected, integration modules required, and implementation scope.
$200/mo
Zqelvorith AI connects Intake, Estimates, Assets, Production, Rendering, Review & Closeout in one project record, with a Dashboard that monitors all seven stages. Each stage passes approved information to the next — verified brief, approved quotation, approved assets, render-ready scene, rendered outputs, client approval and final invoice — with one monthly subscription.
Onboarding is a separate one-time fee, set out below.
A one-time setup that connects your studio to Zqelvorith AI before your next project begins. We configure your workspace, user roles and permissions, and the approval checkpoints for scope, pricing, design sign-off, client acceptance and invoicing. We then set up each stage of the data flow: Intake brief fields and source-file registers, Estimates rate templates, Assets libraries and license records, Production scene handoffs, Rendering job tracking, Review approval rounds, and Closeout delivery and invoice records, with the Dashboard monitoring all seven stages. AI workflow settings are matched to your operating process. The final setup is scoped according to your team size, integration needs, active project volume, security requirements, and deployment model.
Everything in Essential, plus:
Everything in Plus, plus:
Runs in Zqelvorith AI’s managed cloud — the fastest way to start. We host, patch and scale the platform for you, so your production, review and finance teams are verifying briefs and closing projects from day one with nothing to stand up.
The same platform deployed inside your own infrastructure — your cloud, VPC or on-prem — for studios with sensitive client IP. Briefs, source files, unreleased renders, license records and billing data never leave your environment, and the recurring subscription stays the same.
Note: The subscription is identical on either model; only the onboarding scope differs by your security and deployment requirements.
Zqelvorith AI helps studios organize client briefs, DWG drawings, IFC/BIM references, and design specifications under one project record. AI-assisted extraction can flag conflicting drawing numbers, dimensions, and revision references. The responsible design authority confirms which source is approved before the information moves into estimating and production.
The Estimates module separates geometry preparation, materials, lighting, animation, compositing, render processing, and included revisions into individual cost components. Studios can calculate labor using role-based hourly rates, include estimated rendering expenses, and review target margins. AI helps identify missing cost items, while authorized personnel approve the final quotation.
The Assets module maintains project-specific records for 3D models, PBR textures, HDR environments, asset versions, and license documentation. Supported metadata and dependency checks can identify missing file references or incomplete license records. Artists review these exceptions before approving the asset package for production.
The Production module connects approved source revisions with modeling, UV preparation, material assignments, lighting, and camera setup. Changes can be recorded against affected work packages, allowing teams to identify incomplete tasks and approval requirements. A scene is marked render-ready only after the required production checks and human approvals are completed.
The Rendering module uses available rendering task records and logs to track completed, failed, and pending frames. AI can help classify failures involving memory limits, missing textures, unsupported plugins, or worker interruptions. Estimated completion times can be calculated from observed rendering throughput and available processing capacity.
The Review module links each proof to its project, camera or shot identifier, and revision. Reviewers can record material mismatches, geometric defects, rendering artifacts, and client comments against specific images. AI assists with feedback summaries and supported image comparisons, while authorized reviewers make the final acceptance decisions.
Zqelvorith AI connects approved project scope with recorded production changes and revision requests. Additional camera views, material changes, or redesigned geometry can be evaluated for their impact on labor, rendering costs, and delivery milestones. Chargeable variations require commercial approval before being included in final settlement calculations.
The Closeout module compares delivered images, animation files, and any contracted editable scene files against the approved Statement of Work. Teams verify client acceptance, asset license records, authorized variations, and invoice details. AI helps highlight missing documentation or discrepancies, while the responsible personnel authorize handover, invoicing, and project closure.
