Turn AI Infrastructure Into a Financial Advantage
Automatically migrate and optimize AI pipelines across frameworks and hardware — from PyTorch on GPUs to JAX on TPUs.
AI Infrastructure Is
Breaking at Scale
$2M–$10M+ Annual Spend
Infrastructure costs are outpacing model innovation. The “Compute Tax” has become the single largest expense in AI deployment.
30–70% Computational Waste
Framework overhead and suboptimal hardware mapping lead to massive energy and financial leakage.
Manual, static optimization trapped inside single-stack silos.
Automated AI Pipeline Migration
Siaivo doesn't just manage. It rewrites and validates your entire stack for the hardware that makes the most financial sense.
1. Analyze
Deep inspection of original compute graph.
2. Rewrite
Automated translation to target framework.
3. Identify Gaps
Locate architectural incompatibilities.
4. Patch Plan
Synthetic generation of missing kernels.
5. Validate
Hardware-level benchmarking & drift check.
Optimize Across Stacks,
Not Inside Them
Cross-Framework
Transition seamlessly between PyTorch, TensorFlow, and JAX without re-authoring a single line of original research code.
Cross-Hardware
Move training and inference from scarce NVIDIA A100s to readily available Google Cloud TPUs or custom silicon instantly.
Continuous Delta
The infrastructure evolves while you sleep. Siaivo identifies new optimizations as hardware firmware and drivers update.
Siaivo eliminates vendor lock-in, treating compute as a liquid commodity rather than a restricted resource.
Liquid Compute Performance
By removing the friction of manual framework porting, we unlock the true latent power of specialized hardware. Monte Carlo simulations that take days on GPUs run in minutes on optimized TPU clusters.
How It Works
Three layers of orchestration that isolate your researchers from the complexity of the metal.
Control Plane
Central Siaivo SaaS dashboard for policy management and cross-stack visibility.
Execution Agent
Lightweight binary running inside your VPC, managing real-time hardware transitions.
Human-in-Loop
Granular validation checks for edge cases requiring expert supervision.
“AI Compute Should Be Treated Like Capital”
We are the capital allocation layer for AI infrastructure.
Most optimize inside a stack. Siaivo optimizes across them. We provide the fluid intelligence required to navigate a post-GPU world where the best hardware is the one that exists and scales today.
Born from the Giants
Our founders spent the last decade building the core infrastructure for the world's leading AI labs. We've seen the waste firsthand—and we've fixed it at scale.
Start Optimizing Your AI Infrastructure
Secure your slot for the Siaivo Control Layer private beta.