The Infrastructure Intelligence Layer

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.

developer_boardSource Environment
PyTorch on NVIDIA GPU
SIAIVO
memoryTarget Optimized
JAX on Google TPU

AI Infrastructure Is
Breaking at Scale

01

$2M–$10M+ Annual Spend

Infrastructure costs are outpacing model innovation. The “Compute Tax” has become the single largest expense in AI deployment.

02

30–70% Computational Waste

Framework overhead and suboptimal hardware mapping lead to massive energy and financial leakage.

Complex infrastructure nodes
Status Quo

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.

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1. Analyze

Deep inspection of original compute graph.

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2. Rewrite

Automated translation to target framework.

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3. Identify Gaps

Locate architectural incompatibilities.

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4. Patch Plan

Synthetic generation of missing kernels.

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5. Validate

Hardware-level benchmarking & drift check.

Siaivo Control Layer
Analyze | Rewrite | Validate

Optimize Across Stacks,
Not Inside Them

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Cross-Framework

Transition seamlessly between PyTorch, TensorFlow, and JAX without re-authoring a single line of original research code.

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Cross-Hardware

Move training and inference from scarce NVIDIA A100s to readily available Google Cloud TPUs or custom silicon instantly.

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Continuous Delta

The infrastructure evolves while you sleep. Siaivo identifies new optimizations as hardware firmware and drivers update.

8x
Cost Reduction
300x
Faster Simulations
all_inclusiveHardware-Agnostic Stability

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.

Standard Cloud GPU Cost$14,200/unit
Siaivo-Optimized TPU Cost$1,850/unit

How It Works

Three layers of orchestration that isolate your researchers from the complexity of the metal.

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Control Plane

Central Siaivo SaaS dashboard for policy management and cross-stack visibility.

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Execution Agent

Lightweight binary running inside your VPC, managing real-time hardware transitions.

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Human-in-Loop

Granular validation checks for edge cases requiring expert supervision.

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Our Vision

“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.

OpenAI
DeepMind
Google Brain
3
Design Partners
$250K
Infrastructure Savings
$5M+
Optimization Pipeline

Start Optimizing Your AI Infrastructure

Secure your slot for the Siaivo Control Layer private beta.