ParallelIQ is building the control plane for AI systems — a semantic layer that makes AI execution predictable, scalable, and governed.

Our core product, ModelSpec, is a declarative specification that captures the full intent of an AI system — including models, workflows, tools, and operational requirements. From a single specification, our compiler generates the orchestration needed across runtime systems such as Kubernetes, Temporal, and model-serving platforms.

𝐖𝐡𝐚𝐭 𝐰𝐞 𝐝𝐞𝐥𝐢𝐯𝐞𝐫

• ModelSpec Compiler — declarative-to-executable pipelines for AI workflows, inference, and operations
• Semantic execution layer — models, tools (MCP), workflows, routing, SLOs, and policy enforcement
• Control plane for AI systems — admission control, placement, scaling, and failover across workloads
• Predictive orchestration — generation and optimization of execution graphs based on intent and telemetry
• Intelligent resource management — right-sizing compute (GPU/CPU) and model capacity ahead of demand
• Unified execution artifacts — consistent, infrastructure-agnostic deployment across clouds and providers

𝐎𝐮𝐫 𝐦𝐢𝐬𝐬𝐢𝐨𝐧

Enable teams to build, operate, and govern AI systems — not just models — with confidence, without the brittle glue code, fragmented workflows, and reactive scaling that limit production AI today.

www.github.com/paralleliq
www.medium.com/paralleliq
www.youtube.com/@paralleliq

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