Private Agentic Language Models
The next architecture of enterprise AI. Trained on your data. Governed by your policies. Running inside your infrastructure.
LLMs Were a Breakthrough — and a Bottleneck
Large language models changed what's possible. But for regulated enterprises, public LLMs create as many problems as they solve. Your data leaves your control. Your models are generic. Your compliance team can't audit what happens inside a black box. And every department ends up with a different AI experiment that never scales beyond pilot. The problem isn't intelligence — it's architecture. Public LLMs were built for the internet. Enterprises need AI built for them.
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Data Exposure Risk
Training data sent to public providers risks leakage of proprietary information
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Vendor Lock-In
Dependence on a single cloud or model ecosystem limits flexibility
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Compliance Gaps
Centralised, opaque data usage prevents sovereignty and auditability
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Limited Customisation
Generic models can't adapt to organisation-specific workflows and policies
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No Auditability
Black-box behaviour prevents the traceability regulated industries require
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Critical Sectors Exposed
Finance, government, and healthcare cannot safely deploy public AI models
A PALM is not a single monolithic model. It is a system of specialised agents, trained and orchestrated around your proprietary data, workflows, and security constraints. Where LLMs generate language, PALMs generate action.
What Is a Private Agentic Language Model?
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System of Agents
Multiple specialised agents work together — not one monolithic model
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Your Data, Your Control
Trained exclusively on your organisation's proprietary data
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Security by Design
Operates inside your cloud environment with zero external data transmission
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Continuous Learning
Improves through agentic feedback loops — gets smarter with every interaction
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Model Flexible
Switch or combine foundation models (from 2,000+) without re-architecture
"PALMs transform generic AI into intelligent, policy-compliant systems that understand your business context."
What Is a Private Agentic Language Model?
A PALM is not a single monolithic model. It is a system of specialised agents, trained and orchestrated around your proprietary data, workflows, and security constraints. Where LLMs generate language, PALMs generate action.
The Platform Behind PALMs
Three purpose-built layers working together to train, govern, and operate private agentic intelligence.
Human API
Interaction Layer
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Developed with NVIDIA
Duplex interaction
MCP integration
Works with ChatGPT, Claude, Copilot
Agentic Fabric 2.0
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Secure ingestion → Agentic RAG → Agent training → Policy enforcement → Tool execution
Control Plane
AgenticScale + NVIDIA GPUs
Infrastructure
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GPU-backed infrastructure on Azure, AWS, or Google Cloud
Why Enterprises Choose PALMs
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Complete Data Sovereignty
Your data never leaves your infrastructure. No third-party training pipelines. No exposure.
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Model Flexibility Without Lock-In
Access 2,000+ foundation models. Swap, combine, or retire models without rebuilding applications.
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Higher Accuracy on Your Work
Agent-level specialisation and customer-specific training deliver contextaware, policy-compliant outputs.
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Faster Time to Production
Purpose-built infrastructure and reusable agent components accelerate deployment from months to weeks.
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Full Auditability & Governance
Trace every decision. Enforce policies at every step. Meet compliance requirements by design.
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Scales Without Scaling Teams
Start with 3–5 agents. Expand to 30, then 300 — without proportional increases in headcount.
Our Technology Partners:
In Production Across Regulated Enterprise
Our Clients include:
3 min
Regulatory complaints resolved (previously 6.5 days) — AGL
10,000+
Documents searchable via AI across a single enterprise
2,000+
Foundation models supported, no vendor lock-in
WESTFIELD — Asset & Facilities Management 71 global centres. Asset, lease, and SLA data unified into a single AI-searchable layer. Hundreds of staff hours saved. Millions in reduced admin costs. Full audit trails on every query.
"Model trained, governed, and benchmarked using AgenticScale infrastructure.
Built for Organisations That Need Outcomes — Not Experiments
This is for organisations that:
✔️ Operate in regulated, high-risk environments
✔️ Need AI to act autonomously, not assist passively
✔️ Require privacy, data sovereignty, and auditability
✔️ Want to move beyond pilots to production-grade AI infrastructure
✔️Are evaluating private AI alternatives to public LLM providers
This is not for:
❌ Prompt-engineering experiments
❌ Generic chatbot deployments
❌ Teams without executive sponsorship for AI transformation
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Chief Technology Officers
accelerate private AI deployment
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Chief Information Officers
integrate AI securely into enterprise architecture
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Heads of Data & AI
own the AI strategy without vendor dependency
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Chief Risk Officers
ensure compliance, sovereignty, and auditability
From First Conversation to Production in Weeks
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Discovery
We map your AI initiatives, data sources, compliance requirements, and strategic goals
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Architecture Design
We design your PALM environment — selecting models, configuring governance, and planning integrations
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Secure Ingestion
Your data is onboarded via our secure ingestion layer — no data leaves your environment
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Agent Deployment
Your initial fleet of specialised agents is deployed, tested, and benchmarked
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Continuous Improvement
Ongoing evaluation, feedback loops, and performance optimisation — your PALM gets smarter over time
The Future of Enterprise AI Is Private, Agentic, and Under Your Control
AgenticScale is not competing to build the biggest model. We're building the infrastructure that makes enterprise AI private, governed, and production-ready.