Run your AI anywhere, on any
model.
Laava builds cloud-agnostic and model-agnostic AI architectures, so you are not locked to one vendor. Swap models with a config change, move between Azure, AWS, GCP, or on-premise without rebuilding, and keep your business logic independent of any provider's pricing or roadmap.
One workflow to production. One platform to build on what works.
Positioning
Vendor lock-in is the bill that arrives later.
Most AI implementations hardwire one cloud and one model into every layer, so when pricing changes, a better model ships, or the rules shift, you are stuck, and rebuilding is slow and risky.
Laava keeps your business logic separate from any single vendor, so you can move.
Context, tools, and control stay swappable, independent of the model or cloud underneath.
Outcomes
What Agnostic Architecture Gives You
Future-proof AI: adopt new models on day one - change one config line
Cost optimization: route each task to the best price-performance model automatically
Regulatory compliance: deploy in any region, any cloud, or fully on-premise
Negotiation leverage: no single vendor can dictate your terms
Portable infrastructure: move workloads between clouds without downtime or rework
Resilience: if one provider has an outage, fail over to another
How We Build Agnostic
Two dimensions of independence, one unified architecture
Model-Agnostic AI Layer
Your AI agents work with any LLM - Claude, Llama, Mistral, or whatever comes next. We keep the model behind an abstraction, so switching models is a configuration change, not a rewrite. Adaptive routing sends complex queries to powerful models and simple tasks to fast, cost-effective ones.
02
Cloud-Agnostic Infrastructure
Everything runs on Kubernetes - containerized, portable, and cloud-independent. We use Terraform and OpenTofu for reproducible infrastructure, ArgoCD for GitOps deployment, and standard cloud-native patterns that work identically on Azure, AWS, GCP, or bare metal.
03
Data Sovereignty & Compliance
Choose where your data lives and which models process it. Need EU-only hosting? On-premise for classified data? A specific cloud for regulatory reasons? The architecture supports it all without compromise on functionality.
04
Adaptive Model Routing
Not every query needs the most expensive model. Our intelligent routing layer analyzes complexity and sends each request to the optimal model - balancing quality, speed, and cost. Simple lookups go to fast models. Complex reasoning goes to powerful ones. You save money without sacrificing quality.
Approach
From Lock-In to Freedom in 4 Weeks
A Platform Launch delivers a working agnostic architecture - not a slide deck
Step 01
Week 1: Architecture Assessment
We map your current AI stack, identify lock-in points, and design a target architecture that decouples your business logic from specific vendors. You see exactly which models and clouds will work for your use case.
Step 02
Week 2: Abstraction Layer
We build the model abstraction and infrastructure-as-code foundation. Your AI agents get a unified interface that works with any LLM provider. Kubernetes manifests and Terraform modules make the infrastructure portable.
Step 03
Week 3: Multi-Provider Integration
We connect multiple model providers and configure adaptive routing. Your system now intelligently selects the best model per task. We set up GitOps pipelines so deployment to any cloud is automated and repeatable.
Step 04
Week 4: Validation & Handover
We prove the architecture works - live demo of model switching, cloud portability, and cost optimization. Full documentation, runbooks, and knowledge transfer to your team. You own everything.
Principles
Our Agnostic Principles
Principle 1
Invest in Architecture, Not Models
Models change every quarter. Architecture endures. We build the scaffolding that makes any model work - so you benefit from every advancement without the rewrite.
Principle 2
Configuration Over Code
Switching from one model to another should be a config change, not a sprint. We design every integration point to be swappable by default.
Principle 3
Portable by Design
If it can't move between clouds, it's not infrastructure - it's a liability. Every component we build runs on standard Kubernetes with no cloud-specific dependencies.
Principle 4
Separation of Concerns
Context, tools, and actions stay independent layers. Change your vector database without touching your model. Change your model without touching your integrations.
FAQ
What teams ask about agnostic AI
The most practical questions that usually come up before a first application actually lands in the operation.
First serious step
Map your lock-in, then design it out.
Bring your current AI stack. We map where you are locked in, show the path to a portable architecture, and outline a concrete Platform Launch.
You leave with a clear view of the first workflow, the key dependencies, and the right next step.
Included in the first conversation
Map your lock-in, then design it out.
Let's map your current AI stack and design an architecture that gives you true independence. No lock-in, no compromises.
Response time
We typically respond within 24 hours