Your AI, Your Way: Configurable Private Agents
The Challenge: One-Size-Fits-All Doesn’t Work for AI
Every user has different needs—but most AI tools treat everyone the same.
- A marketing lead might need brand-safe language.
- An engineer may want code-focused answers and access to dev tools.
- An executive might want crisp summaries and limited scope.
But without customization, you’re stuck with a generic agent that serves no one perfectly.
How can you create an AI that truly fits your unique needs?
The Solution: FoundationaLLM Enables Private, Purpose-Built Agents
FoundationaLLM is a platform, not a SaaS tool. It runs in your environment and empowers organizations to build LLM-agnostic, fully configurable agents. These agents can be private (sandboxed to a single user) or public (shared across teams), each uniquely tailored to their owner’s tools, tone, data, and goals. Whether you're integrating GPT-4, Claude, or an open-source model, FoundationaLLM gives you the flexibility to define and manage how your agents behave and interact.
With FoundationaLLM, users can create fully configurable private agents—fine-tuned to their data sources, tools, tone, and workflow. These agents are sandboxed for individual use, making it easy to experiment without affecting others. That means teams can iterate and innovate quickly, with lower total cost of ownership, faster deployment, and no disruption to production environments.
How It Works
Create a Private Agent – Name it, define its purpose, and keep it visible only to you.
Customize Behavior – Set tone, tools, response style, and data source access.
Experiment Safely – Use your agent in production or test workflows privately.
Scale as Needed – Promote your private agent to a public one when you're ready to share it across your team or company.
The Technical Hurdles
and How We Solve Them
Most AI platforms are monolithic—no support for multiple agent types.
FoundationaLLM supports unlimited agents per user, each uniquely configured.
Users can’t safely test agent behaviors without affecting others.
Private agents are fully sandboxed—secure and personal.
Enterprise teams need control, but users want freedom.
FoundationaLLM balances both: centralized governance, decentralized innovation.
The Business Impact: Scalable Personalization Without Risk
Faster Innovation – Teams build and test new ideas without engineering bottlenecks—accelerating time to value and reducing reliance on centralized dev teams.
Greater Adoption – Users engage more when they can shape how the AI supports their work—increasing ROI on AI initiatives and driving sustained usage across roles.
Built-In Safety – Private agents don’t leak into production unless explicitly promoted—ensuring governance while lowering experimentation risk.
Governed Flexibility – Let users configure freely, while maintaining enterprise security and oversight—reducing support overhead and boosting operational efficiency.
Why FoundationaLLM?
Unlimited configurable agents—public or private
Personalized tone, tools, and data per user
No-risk experimentation and iteration
Agent promotion workflow from private to org-wide
Deployed securely in your Azure environment
Ready to Build the AI That Works Like You Do?
FoundationaLLM lets every user create their own trusted assistant—fully customizable, totally secure, and ready to scale.
Start private. Experiment freely. Promote when ready. That’s the power of Private Agents.
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