Private AI
Keep model execution and enterprise data within agreed access boundaries.
AIMPLE provides the runtime, orchestration and infrastructure layer for deploying AI workloads across cloud, on-premise and edge environments. Built for enterprise IT, AI teams and media operators, it connects workload execution with compute, data and resource management. Deployment scope and module readiness are confirmed for each engagement.
AIMPLE modules describe our platform and delivery scope. Deployment scope, integrations and module readiness are agreed during technical discovery; this is not a catalogue of self-service SaaS releases.
Keep model execution and enterprise data within agreed access boundaries.
Deploy around customer-controlled compute, networks and operating policies.
Coordinate workloads across private environments and cloud capacity.
Bring inference closer to devices and time-sensitive interaction.
Scope a local AI environment around a site, team or bounded workload.
Control model execution and enterprise data boundaries.
Connect reasoning with repeatable business workflows.
Provide runtime, compute orchestration and deployment foundations.
Move pilots into production across private, hybrid and edge environments.
Create and operate your own digital IP and virtual artists with generative AI.
Digital musician content — music and video made by our own AI — plus high-quality Unreal-based virtual broadcasting.
Digital human and character capabilities remain part of AIMPLE Human, within the broader infrastructure platform.
Digital asset capabilities belong to the extended AIMPLE Human ecosystem. Discuss current availability and scope with our team.
A marketplace for trading digital human assets — built on standardized digital human NFT metadata.
CES 2024 — the LLM-based digital human platform goes public.
Proposing the future of AI and virtual artists at the MWM conference.
Virtual broadcast and digital human content production with Web3 support.
AIMPLE is an AI infrastructure platform for deploying and operating AI workloads across cloud, on-premises and edge environments. It provides runtime, orchestration and compute/data resource management as one layer.
Enterprise IT organizations, AI development and operations teams, companies that need private AI environments, media AI operators, and teams building edge and Physical AI systems.
Six modules: AIMPLE Infra (enterprise AI infrastructure), Runtime (workload execution, scheduling and orchestration), Agent (execution layer for business agents), Edge (edge and Physical AI runtime), Studio (generative AI production) and Human (digital humans and AI characters).
Not every module is released as self-service SaaS. Deployment scope, integration method and module readiness are confirmed during a consultation based on the customer's environment.
Private AI, on-premises, hybrid, edge, and local (micro) AI infrastructure designed for a specific site, team or workload.