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AI Sandbox
What Is the AI Sandbox?
The AI Sandbox is a platform developed by Cognipeer and operated by Hepapi in partnership with AWS. It provides enterprises with a dedicated, isolated AI environment available in the AWS Local Zone or on AWS Cloud, built around the Cognipeer Console platform.
Rather than waiting for AI infrastructure to be provisioned, configured, and secured from scratch, organizations get a ready-to-operate control plane covering the full AI stack: from model inference and vector stores to agent tracing, guardrails, and RAG pipelines.
This is not a demo environment. It is designed to run real workloads, serve multiple teams simultaneously with full tenant isolation, and scale when your needs grow, including GPU-backed inference when AWS Local Zone GPU capacity becomes available.
Why It Matters for Your Organization
AI adoption in the enterprise often stalls not because of a lack of interest, but because of infrastructure friction: Who manages the models? How do you isolate data per team? How do you ensure compliance? How do you evaluate model outputs before they reach production?
The AI Sandbox eliminates that friction. It gives you:
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A single control plane for inference, retrieval, agent execution, and monitoring
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Tenant-level data and credential isolation across business units or projects
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OpenAI-compatible APIs so your development teams can start without rewriting code
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Built-in guardrails and PII protection from day one
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Deployment on AWS Local Zone, keeping your data within your region's borders
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GPU-ready architecture to take advantage of future Local Zone GPU capacity
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Platform Capabilities
The AI Sandbox is built on Cognipeer Console, a production-grade multi-tenant AI control plane. Key capabilities include:
Model Inference & Model Hub
Run LLM inference across multiple providers through a single OpenAI-compatible gateway. Register, configure, and switch models without changing your application code.
Multi-Tenant Architecture
Full data, credentials, and project isolation between teams or customers, enforced at the request level, not as an afterthought.
Vector Stores & RAG Pipelines & Memory
Ingest documents, build retrieval pipelines, and serve grounded responses. Manage prompt templates with versioning and persistent memory stores - all without assembling separate infrastructure for each component.
Agent Tracing & Evaluation
Track every agent session end-to-end. Evaluate model outputs systematically before they reach production users.
Guardrails & PII Protection
Apply input/output validation policies with keywords, regex, and LLM-based guardrails. Detect and automatically redact personally identifiable information.
GPU Fleet Management
Onboard GPU hosts, deploy models, configure pools, and load balance. Ready to scale when AWS Local Zone GPU infrastructure becomes available.
Built for AWS Local Zone and Beyond
Hepapi is an AWS Advanced Tier Services Partner. The AI Sandbox is designed to run natively on AWS, including AWS Local Zones, enabling low-latency, data-residency-compliant deployments for organizations operating across any supported region
For organizations in any Local Zone or AWS region where managed AI services such as Bedrock or AgentCore are not yet available, the AI Sandbox provides an equivalent operational surface that can be deployed locally or via AWS Cloud.
This positions Hepapi as the partner that can deliver differentiated AI infrastructure today, with a clear path to scale as AWS Local Zone capabilities expand, including GPU availability.
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Who Is It For?
Technical Decision-Makers
CTOs, Technical Leads, and Platform Engineers who need a production-grade AI infrastructure without the overhead of building one from scratch.
Business & Innovation Leaders
Directors and enterprise stakeholders looking to move AI initiatives forward with a defined scope, validated environment, and a trusted delivery partner.
How It Works
Scoping & Environment Design
We align on your use cases, tenant structure, data residency requirements, and deployment target (Local Zone or AWS Cloud).
Deployment & Configuration
Hepapi deploys and configures the Cognipeer Console environment on your designated AWS infrastructure. Providers, models, vector backends, and storage are configured to meet your requirements.
Onboarding & Enablement
Your teams are onboarded to the platform. APIs are documented, access controls are configured per tenant, and guardrails are set before workloads go live.
Operate & Scale
You run your AI workloads on a stable, monitored platform. Hepapi provides ongoing support, and the environment scales as your usage and GPU availability grow.
Ready to Run AI at Scale?
Whether you are evaluating AI infrastructure for the first time or looking to consolidate fragmented tooling into a single, governable platform, the AI Sandbox provides a production-ready starting point, deployed on AWS and operated by Hepapi.