Caliqo offers a centralized control plane that automates quantum workload management for enterprises, using policy‑driven scheduling to route jobs to the optimal QPU based on latency, fidelity, and cost constraints. It integrates hardware‑aware compilation into CI/CD pipelines, provides automated cost/resource checks, and delivers multi‑provider deployment with observability dashboards for continuous performance monitoring.
Funding
Funding not disclosed
Founders
Product
Problem
Enterprise quantum computing teams face fragmented toolchains that require manual scheduling, hardware‑specific compilation, and ad‑hoc cost checks, leading to inefficient use of quantum processors and increased risk of costly failed jobs.
Solution
Caliqo provides a centralized control plane that automates the end‑to‑end workflow for quantum workloads. Policy‑driven scheduling evaluates real‑time hardware conditions and routes jobs to the optimal QPU, while hardware‑aware compilation integrates directly into CI pipelines to produce deployment‑ready artifacts tailored to specific backends. Built‑in resource and cost estimation tests automatically block jobs that exceed defined thresholds, preventing wasteful execution. The platform also offers a single interface for deploying across multiple providers and continuous observability of queue health, performance metrics, and backend fidelity, enabling enterprises to manage quantum workloads at production scale.
Target Audience
Primary customers are enterprise quantum research and development teams, as well as cloud service providers that need automated, production‑grade management of quantum workloads across heterogeneous hardware.
Features
- Policy‑driven scheduler that selects QPUs based on latency, fidelity, throughput, and cost constraints in real time
- CI/CD integration with YAML‑defined compilation pipelines, hardware‑aware optimization levels, and gate‑set selection
- Automated cost and resource estimation checks that block jobs exceeding configurable thresholds
- Multi‑provider deployment interface supporting IBM Quantum, IonQ, and AWS Braket through a unified API
- Full‑stack observability dashboards showing queue traffic, hardware calibration status, error rates, and performance benchmarks
- Continuous performance monitoring that recommends backend‑specific tuning to maintain fidelity and runtime targets