LLM infrastructure consulting
Design and build the infrastructure required to deploy, run, and scale LLM applications reliably in production.
What we enable
The right LLM infrastructure gives your applications a reliable foundation for moving from experimentation to production.
What we enable
The right LLM infrastructure gives your applications a reliable foundation for moving from experimentation to production.
01
Run LLM applications in production
Build the infrastructure needed to support real users, workloads, and business processes.
02
Connect models to enterprise data
Give LLM applications controlled access to the data and context required to produce useful outputs.
03
Control performance and cost
Design infrastructure around workload requirements so compute, model usage, and resources can be managed effectively.
04
Scale without rebuilding the foundation
Support new models, data sources, applications, and workloads without redesigning the entire infrastructure.
Built across financial and regulated environments
Alternative asset management
Specialty lending
Wealth management
PE-backed platforms
Experience with clients backed by
Built across financial and regulated environments
Experience with clients backed by
What we build
We build the infrastructure layers that connect models, enterprise data, applications, and production environments.
What we build
We build the infrastructure layers that connect models, enterprise data, applications, and production environments.
Model serving infrastructure
Set up the infrastructure required to host, access, and manage LLMs across production workloads.
Retrieval and data pipelines
Build pipelines that prepare, retrieve, and deliver relevant enterprise data to LLM applications.
Application integrations
Connect LLM systems with existing applications, APIs, databases, and business systems.
How we build the infrastructure
We design each layer around how your LLM system will actually operate once it moves into production.
Assess existing systems
Review your cloud environment, data sources, applications, and current AI infrastructure.
Design the architecture
Define how models, data, compute, retrieval, and application layers work together.
Build production pipelines
Implement the pipelines required to move data and model requests reliably through the system.
Prepare for production workloads
Set up monitoring, controls, and infrastructure that can support changing usage and application requirements.
Assess existing systems
Review your cloud environment, data sources, applications, and current AI infrastructure.
Design the architecture
Define how models, data, compute, retrieval, and application layers work together.
Build production pipelines
Implement the pipelines required to move data and model requests reliably through the system.
Prepare for production workloads
Set up monitoring, controls, and infrastructure that can support changing usage and application requirements.
Assess existing systems
Review your cloud environment, data sources, applications, and current AI infrastructure.
Design the architecture
Define how models, data, compute, retrieval, and application layers work together.
Build production pipelines
Implement the pipelines required to move data and model requests reliably through the system.
Prepare for production workloads
Set up monitoring, controls, and infrastructure that can support changing usage and application requirements.
Assess existing systems
Review your cloud environment, data sources, applications, and current AI infrastructure.
Design the architecture
Define how models, data, compute, retrieval, and application layers work together.
Build production pipelines
Implement the pipelines required to move data and model requests reliably through the system.
Prepare for production workloads
Set up monitoring, controls, and infrastructure that can support changing usage and application requirements.
Building Data-First AI in Production for regulated and data-intensive industries?
Assess your AI readinessHow we engage
We start with your LLM use case and assess what infrastructure is required to support it in production.
How we engage
We start with your LLM use case and assess what infrastructure is required to support it in production.
Assess infrastructure requirements
We identify requirements across models, data, compute, storage, security, and integrations.
Define the right architecture
We design an infrastructure approach based on your workload, performance requirements, and existing technology stack.
Work with your engineering team
We collaborate with your teams to build and integrate the infrastructure into your existing environment.
Understand the use case
We review what your LLM system needs to do, the data it depends on, and how it fits into existing applications.
Assess infrastructure requirements
We identify requirements across models, data, compute, storage, security, and integrations.
Define the right architecture
We design an infrastructure approach based on your workload, performance requirements, and existing technology stack.
Work with your engineering team
We collaborate with your teams to build and integrate the infrastructure into your existing environment.
Understand the use case
We review what your LLM system needs to do, the data it depends on, and how it fits into existing applications.
Assess infrastructure requirements
We identify requirements across models, data, compute, storage, security, and integrations.
Define the right architecture
We design an infrastructure approach based on your workload, performance requirements, and existing technology stack.
PARTNER + CERTIFICATE
Recognized by Platform Leaders. Trusted in Production.
PARTNER + CERTIFICATE
Recognized by Platform Leaders. Trusted in Production.
LLM infrastructure consulting focuses on designing and building the technical foundation required to run large language model applications in production. This includes model serving, data pipelines, retrieval systems, integrations, monitoring, and cloud infrastructure.
Turn bottlenecks into running systems
Pick a process where work is slowing down. We’ll help you turn it into a system that runs with minimal manual effort.
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