AEROSPACE · DEFENSE · ROBOTICS · AUTOMOTIVE
Gravissist is the embedded front-end structural engineering team for hardware startups — delivering rapid analysis cycles from concept through CDR at a fraction of large-firm rates, powered by automation and AI-assisted workflows.
We run rapid design and analysis cycles so your hardware team has the data they need to build with confidence — concept through CDR. No test execution. No qualification. Just the analysis that gets you there.
Static, dynamic, buckling, and fatigue analysis across metallic, plastic, and composite materials. Classical hand analysis and large-model FEA with a clean configuration management trail throughout.
Vehicle-level FEM development, flow-down loads derivation, modal analysis, frequency / random / transient response. Hurty-Craig-Bampton reductions, vibration response with force limiting and notching.
Fatigue life analysis and fracture mechanics assessment for metallic and composite structures. Damage assessments for COTS and recently acquired flight hardware with full health tracking via our loads data management system.
Pre-test modal analysis, vibration spectrum development, accelerometer and strain gauge placement recommendations. Detailed static and dynamic test plan documentation ready for handoff to your test team.
Scalable automation pipelines that reduce bottlenecks and compress engineering cycle time. Load magnitude derivation and maintenance in a live SQL database. GIT-controlled model history and documentation throughout.
From roadmap to execution — ensuring engineering efforts align with business goals. We embed best practices, frameworks, and tools into your workflows. Our success metric is when you no longer need us.
Real programs. Actual deliverables. The kind of analysis that moves hardware from CAD into fabrication.
Gravissist delivers the structural and mechanical engineering horsepower that early-stage hardware programs need — without the overhead of a large consulting firm.
Our team has delivered analysis, test correlation, and design support on complex programs where precision, reliability, and scalability are non-negotiable. We've worked programs from concept all the way through qualification, and we know exactly how to move fast on the front end without creating problems downstream.
We target aerospace, defense, automotive, and robotics startups — teams at the seed to Series B stage where every engineering dollar has to count. Our automation-first approach and AI-assisted workflows are how we deliver senior-quality work at a fraction of traditional rates.
The name Gravissist is a play on gravity assist — the orbital mechanics maneuver where a spacecraft uses a planet's gravity to accelerate toward its destination while conserving fuel. That's what we do for your program: give you the early push that gets you to fabrication faster, while saving you the money you need to actually build the thing.
We embed as your front-end mechanical engineering team — running the full analysis cycle so your hardware team has the confidence to move into fabrication.
Our scope is deliberate: concept requirements through Critical Design Review. We deliver structural modeling, load derivation, analysis packages, and test plans. We stop before test execution and hardware qualification — that's a clean boundary that keeps your program in control and our engagements lean.
This focused scope is what makes us fast and affordable. We're built for the rapid iteration cadence of early-stage programs, not the slow drumbeat of a large prime contractor.
The instinct to hire in-house is understandable. Employees feel safer, more committed, more controllable. But "safer" is relative — especially when you run the real cost. Before we talk about our rate, let's talk about what engineering capacity actually costs your organization.
Hover each tile to see what's actually being traded — and where your engineering energy is best spent.
Tell us what you're building and where you are in the program. We'll scope it and get back to you within 24 hours.
hello@gravissist.com →