AI Engineering · Local AI

Local AI

Capable small models on your hardware — routine work, zero token bills, no data leaves.

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Model-agnostic architecture Private & on-premise ready Human-in-the-loop validation

Private AI Security Architecture

Security PerimeterZero outbound telemetry, network-isolated VPC / on-prem

Dedicated ComputeCustomer-controlled GPU/CPU infrastructure

Self-Hosted ModelsOpen weights or fine-tuned domain models

Controlled InferenceStrict latency SLAs, zero third-party API exposure

Local Context & RAGAir-gapped vector store & document repositories

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Data Sovereignty GuaranteeNo training on client data, zero vendor dependency

Capable small models on your hardware — routine work, zero token bills, no data leaves.

Capabilities

What this covers

Model selection
On-prem deploys
Offline branches
Cost design

Use cases

Typical engagements

Drafting & summaries
Classification
Offline copilots

Technology

Tools we reach for

Small language models, quantized.

Security note

Controlled by default

Identity, least-privilege access and audit trails are engineered into delivery.

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Bring us this exact problem.

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Describe Your Challenge

Connected Capabilities

The complete AI engineering stack.

Explore how this capability integrates with the rest of the IA Webtech AI platform:

Execution

AI Agents

Goal-directed software that plans steps and acts via governed tools.

Explore → Workforce

AI Operators

Domain operators executing continuous business motions alongside staff.

Explore → Knowledge

Enterprise RAG

Permission-aware retrieval grounded strictly in your enterprise documents.

Explore → Sovereignty

Private AI

Zero data leakage, VPC or on-premise deployments for sensitive operations.

Explore →