Ship Llama-powered applications with enterprise guardrails
Oodles AI designs, fine-tunes, and deploys Meta Llama models in secure, enterprise environments. We build Llama-based applications with private hosting, retrieval pipelines, safety controls, and full observability so teams can launch and scale with confidence.
What we deliver with Llama
End-to-end Llama deployments aligned to your data, security posture, and runtime performance requirements.
- • Model strategy using Llama 3, Code Llama, and domain-adapted variants
- • Retrieval-augmented generation with vetted connectors and vector stores
- • Evaluation, red-teaming, and safety layers for PII and jailbreak risks
- • MLOps, cost governance, and latency monitoring for production workloads
Private & Hybrid Hosting
Host Llama models on AWS, Azure, GCP, or on-prem infrastructure with network isolation, IAM, and secrets management.
Fine-tuning & Adapters
Parameter-efficient tuning with LoRA and QLoRA, prompt tuning, and instruction alignment on private datasets.
Retrieval & Connectors
RAG pipelines for Llama using chunking, metadata, vector search, and policy-aware retrieval.
Observability & Guardrails
Built-in telemetry, evaluation harnesses, content filters, and prompt hardening for safe usage.
High-impact Llama use cases
Knowledge Assistants
Llama-powered assistants for internal knowledge, SOPs, and policy documents with citations and controls.
Developer Productivity
Code assistance, refactoring, and test generation using Code Llama models tuned to your repositories.
Document Intelligence
Summarization, Q&A, and structured extraction across contracts, tickets, and enterprise documents.
Process Automation
Llama-driven agents that orchestrate workflows through APIs, ticketing systems, and knowledge bases.
Multilingual Support
Multilingual Llama deployments with PII masking, audit logs, and role-based access control.
Integrations & tooling
Oodles AI integrates Llama models with your data platforms, orchestration layers, and enterprise controls.
Delivery approach
A structured delivery model used by Oodles AI to take Llama applications from concept to production-ready deployment.
1
Goals & Risk Posture: Define business outcomes, compliance requirements, and data boundaries.
2
Data & Policy Setup: Connect data sources, configure access controls, and apply safety policies.
3
Prototype & Evaluation: Build Llama pilots with evaluation harnesses, red-team tests, and guardrails.
4
Integrations & Automation: Integrate Llama APIs, webhooks, and monitoring into existing SDLC pipelines.
5
Rollout & Optimization: Launch production workloads, monitor cost and latency, and iterate continuously.
Ready to build with Llama? Let's talk
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