Nebula Cloud Studio is the governed execution infrastructure born from years of applied engineering and geospatial intelligence across infrastructure, energy, utilities, and government — built by the teams at Nebula Cloud who lived the problem long enough to build the solution.
Nebula Cloud Studio was not born in a research lab. It was built by engineers who spent years on the ground — running GIS analyses for national infrastructure programmes, executing structural simulations for high-consequence assets, and navigating the geospatial complexity of industries where a wrong number does not generate a correction but a consequence.
We are not a chatbot. We are not a copilot. We are an engineering execution platform — purpose-built for the verticals where physical reality holds the final vote. Every computation is a deterministic DAG. Every artifact carries a cryptographic hash, engine version, parameter log, and full lineage trace. Auditability is not a feature we added. It is the foundation everything else is built on.
The gap between "AI that talks about engineering" and "AI that executes engineering" is not a gap in language models. It is a gap in infrastructure. Nebula Cloud is building that infrastructure.
Nebula Cloud was founded by an IIT Kanpur alumnus and a team of engineering practitioners who spent years working across geospatial intelligence, infrastructure planning, energy, utilities, and government programmes across multiple geographies. The insight was not theoretical — it came from watching the same failure repeat across every project: brilliant engineers, fragmented tools, no audit trail, and outcomes that couldn't be reproduced or defended.
The engineering teams at Nebula Cloud had built workflows for GIS-heavy infrastructure projects, structural analysis pipelines for regulated industries, and geospatial intelligence platforms for decision-makers who needed answers, not suggestions. Every time, the same gap appeared: the tools existed, but the execution layer — governed, deterministic, auditable — did not.
Nebula Cloud Studio is that execution layer. Built by people who needed it. For teams who need it now.
Rigorous technical foundations combined with extensive applied experience across geospatial intelligence, infrastructure engineering, energy, and regulated industries spanning multiple geographies.
Critical infrastructure decisions made with disconnected tools, manual validation, and zero audit trails. Production-grade engineering execution was a privilege of large enterprises — not a platform anyone could access.
Not a wrapper around existing tools. A new layer: intent-driven, engine-executed, cryptographically verified. The platform we always wanted and never had.
Nebula Cloud is building the governed execution infrastructure for the physical world. Studio is the flagship product — the AI-native engineering execution platform. The broader portfolio extends Nebula Cloud's mission across delivery, data, and intelligence.
The AI-native engineering execution platform. 92 engines, 24 domains, deterministic outputs, SHA-256 verified artifacts. The layer where engineering intent becomes production-grade output.
Live · Public AccessNebula Cloud Studio's AI-native delivery team working end-to-end on your project. 10 domain experts + Studio + Nebula Cloud infrastructure — delivering production outcomes faster than a traditional team of 100.
Engineering-as-a-ServiceGeospatial intelligence, spatial data infrastructure, and domain-specific AI layers built on top of the governed execution stack. Purpose-built for infrastructure owners, government agencies, and utilities.
Coming SoonWe run real engines — FEA solvers, CAD kernels, GIS processors, CFD simulators. Every output is computed, not generated. The distinction determines whether you can trust the result with your reputation.
Every execution is a deterministic DAG. Every artifact carries a cryptographic hash, engine version, parameter log, and full lineage trace. Auditability is not a checkbox — it is the architecture.
We go deep in 24 engineering domains with purpose-built execution engines. Depth is what makes results trustworthy enough to stake a project on.
EC3, AISC, ASHRAE, DNV, IS:800 — compliance codes are enforced in-engine, not referenced in text. Our outputs document the check, cite the clause, and flag the failure mode. Every time.
REST API, MCP protocol, Python SDK, webhooks. Every capability is accessible programmatically. We augment your existing toolchain — and disappear cleanly into your workflow when you need us to.
SOC 2 Type II readiness, AES-256 encryption, tenant isolation, immutable audit logs, SSO/SAML, and private deployment — baked in before the first production commit, not added when enterprise asks.
Just as cloud computing democratised compute for software, and LLMs democratised natural language for information, Nebula Cloud is building the layer that democratises governed engineering execution for the physical world.
A world where any engineer — from a practitioner at a 10-person structural firm to a team at a national infrastructure agency — can access production-grade simulation, CAD, and geospatial intelligence with the same ease as writing a prompt.
"The great infrastructure transitions of the past century — electrification, computing, the internet — all shared one characteristic: they made powerful capabilities universally accessible without removing expert judgment from the loop. That is exactly what Nebula Cloud is building for engineering. Not AI that replaces the engineer. Infrastructure that makes the engineer ten times more powerful — and gives them proof of every decision they make."
Three groups who can no longer afford fragmented tools, manual workflows, and unauditable outputs.
Structural engineers, geospatial consultants, simulation teams, and domain specialists who need production-grade execution without building or maintaining the toolchain themselves.
Infrastructure agencies, defence contractors, energy majors, and engineering-led enterprises that require SOC 2, immutable audit logs, tenant isolation, and private deployment on regulated infrastructure.
Teams building autonomous engineering agents, internal compliance tools, CI/CD pipelines with physical verification steps, or LLM-powered workflows that need deterministic execution underneath.
Get started free today — explore all three modes, build production-grade engineering artifacts.