Nebula Cloud Studio

12/09/2026

AI for CAD is the wrong approach. We need CAD for AI.

Most generative AI platforms are built to generate pixels, meshes, or plausible-looking text. But in heavy industries, visual approximations don't cut it. A "mesh blob" cannot be simulated, machined, or imported into an assembly.

Inside Nebula Cloud Studio, we are taking a fundamentally different approach to Text-to-CAD workflows. We skip the aesthetic guesswork and focus on Intent → Structured Plan → CAD Ex*****on.

When you input a natural language prompt, the system compiles it into real engineering instructions, driving a deterministic engine to output fully structured, dimensionally accurate STEP and STL files.

Engineering Intent Met With Mathematical Precision
Instead of rough approximations, you get clean geometry ready for downstream applications:

⚙️ Automated Pipelines: Instantly transition your text-generated models directly into CAD-to-Simulation and structural analysis pipelines.

🏭 Smart Manufacturing: Generate parametric components, brackets, and design variants on the fly to compress your early-stage prototyping cycle.

🏗️ AEC & Infrastructure: Automate structural design variants, such as anchor plates and custom hardware, directly from structural briefs.

This isn't about replacing engineers; it is about completely removing the friction between conceptual design and physical manufacturing.

Want to see how governed AI ex*****on changes product design? We are opening up early access for engineering teams. Comment "STUDIO" below or DM us to join the waitlist.

11/09/2026

New Studio Capability: Financial Modeling & Decision Intelligence

Built for CFOs, founders, finance teams, analysts and investors.

Studio can turn a business brief, fundraising plan or raw assumptions into a working financial model with linked formulas, dashboards, scenarios and validation checks.

Use it for fundraising models, board plans, FP&A forecasts, cash runway, SaaS metrics, unit economics, investor diligence, capital allocation and scenario planning.

Example:

“If growth slows 20% and CAC rises 30%, how much runway do we have?”

Studio can model it.

From business intent to decision-ready financial output.

Explore the showcase:
https://studio-public-demos.github.io/showcase/finance-model-studio-capability/

👉 Bring us your brief. Studio turns it into a working financial model.

02/09/2026

From raw imagery to operational intelligence — in one governed pipeline.

Nebula Cloud Studio just powered a real, end-to-end GeoAI prototype: raw drone imagery in, live operational WebGIS out.

🛰️ AI detection & classification on high-res orthoimagery
📐 Raster → GIS-ready vector features
🗺️ Live WebGIS with an AI analyst for natural-language queries
🔍 Full traceability — confidence scores, provenance, human validation

3,000+ georeferenced features extracted end-to-end. A working system, not a mockup.

Agents flag and hand off, humans decide.

The same GIS + remote sensing + digital twin engines also power heritage digital twins, civic mapping, municipal intelligence, and public geo-data cataloguing.

One governed core. Many domains.

Explore → nebulacloud.studio

01/09/2026

We’ve published an open interactive showcase on the 2026 Nepal flash floods — a 3D Digital Twin & What-If Scenario Lab for the Bhote Koshi–Trishuli corridor.

It lets you replay a representative event, explore the terrain in 3D, and test what-if scenarios by changing breach conditions, rainfall, debris, river flow and infrastructure assumptions.

Live demo:
https://lnkd.in/dR_yyJiN

Open-source repo:
https://lnkd.in/dT2eRe4z

This is a scenario-based research simulation, not an official flood warning or evacuation tool.

Would really appreciate feedback from anyone working in GIS, hydrology, disaster management, remote sensing, humanitarian mapping or digital twins.

29/08/2026

We’re opening Nebula Cloud Labs to academia and research institutions. 🔬

A platform for researchers, universities and R&D teams to access AI, GPU computing, geospatial, engineering, simulation and research-ready workbenches while connecting with the applied research we are building at Nebula Cloud.

Research. Experiment. Validate. Demonstrate.

If you’re a faculty member, researcher, student team or institution looking to accelerate research, I’d love to connect.

👉 Explore Nebula Cloud Labs:
https://lnkd.in/dEqiHxW9

25/08/2026

Where should someone get building footprints for Telangana?

A government source? OpenStreetMap? Microsoft’s open building footprints? Google Open Buildings?

Each can be useful but they are not interchangeable.

The more important questions are:

Which source actually covers the geography? Is it accessible? Is the geometry usable? How current is it? What license applies? Is there an authoritative alternative? And what happens when none of the available sources is good enough?

We kept running into variations of this problem across geospatial work.

So we built Nebula Civic Index — GeoIndia.

GeoIndia is an open geospatial data intelligence initiative from Nebula Cloud Public Good Labs, built around a simple workflow:

Find → Verify → Compare → Act

It brings public datasets, services and portals together with intelligence around provenance, access, GIS readiness, source alternatives and evidence gaps.

The underlying datasets remain with their original publishers. GeoIndia is an independent discovery and intelligence layer not an official government portal and not a data host.

When discovery needs to move into data preparation, analysis, transformation or ex*****on, Nebula Cloud Studio provides the next layer.

We’d particularly like to connect with researchers, think tanks, geospatial organizations and institutions working with similar public-data challenges.

Explore GeoIndia:
https://geoindia.nebulacloud.in

Find the data. Know whether to trust it. See what’s missing.



Built with Nebula Cloud Studio

20/08/2026

From a static 3D model file → a fully interactive browser dashboard. No CAD software, no install, no plugins.

We took a production-quality concept car asset (glTF/GLB, PBR materials, clearcoat paint) and turned it into a real-time interactive viewer — built and deployed through Nebula Cloud Studio.

What it does:

🎨 Switch between 3 factory paint finishes in real time

🚪 Open/close scissor doors, hood, and rear hatch with smooth animation 💥 Explode view to inspect body panels and construction

🔄 Turntable mode, free orbit, and 5 camera presets (front, back, side, top, interior)

📸 Live wireframe toggle, lighting control, and one-click screenshot export

All of it runs in a browser — zero backend, zero build step, fully responsive on mobile.

This is the kind of deliverable design teams, product managers, and marketing teams need for stakeholder reviews and client demos, without depending on specialist CAD software or platform-specific viewers. Point someone at a URL, and they can inspect material variants, mechanical articulation, and detail — no software required.

🖥️ Live demo → https://lnkd.in/gs3V4P-b

📦 Repo → https://lnkd.in/gPg7jy3C

⭐ If this is useful, a star on the repo helps more people find it.

Want a similar interactive deliverable for your own 3D models, CAD assets, or product configurator? Let's talk → https://nebulacloud.studio

19/08/2026

.studio — Municipal Property Intelligence is a map-first Web GIS and AI-assisted evidence layer designed to help urban local bodies reconcile physical building reality with municipal property records.

For our Tirunelveli demonstration, Studio combines independent building and temporal evidence from multiple sources and converts them into inspectable, provenance-aware geospatial intelligence.

The current public demonstrator contains:

🏢 36,069 building-evidence clusters generated through multi-source conflation

🔎 14,471 structures independently corroborated by Google + Microsoft building datasets but absent from OSM

⚠️ 3,940 cases requiring geometry/evidence review rather than forcing uncertain matches

🛰️ 2016–2023 temporal building intelligence for understanding persistence and built-environment change

🗺️ Settlement-intensity and municipal-reconciliation context generated from openly licensed building/temporal evidence

But the most important part is what the system does not do.

Studio does not autonomously declare a property unassessed, calculate speculative tax, or replace municipal authority.

The workflow deliberately stops at the correct institutional boundary:

Physical + temporal evidence
→ reconciliation candidate
→ GIS / field verification
→ municipal officer decision
→ existing statutory assessment workflow

Once authorized municipal data such as PTIN/property registers, building permissions, current ward/zone GIS and DCB records are connected, the same evidence framework can support controlled property-record reconciliation and verification.

See the work yourself

🌐 Live Web GIS:
https://studio-public-demos.github.io/municipal-property-intelligence/demo/

💻 Public project showcase:
https://github.com/studio-public-demos/municipal-property-intelligence

18/08/2026

A BIM model isn't just geometry.

It contains geometry + engineering semantics: GlobalIds, materials, property sets, quantities and spatial relationships.

We built an open-source POC that turns:

IFC / Revit-derived BIM → GLB/GLTF + structured metadata + REST API

Architecture sample:

226 KB IFC → 17 KB GLB (~92% smaller)

And the model-comparison workflow identifies changes between Architecture and Structural views:

4 common · 14 added · 15 removed

The idea:

GLB tells an application what the building looks like.
Metadata tells it what the building means.

MIT reference implementation — try it, fork it or build on it:

https://github.com/studio-public-demos/bim-cloud-pipeline

Built with NebulaCloud Studio.

12/08/2026