From control specification to deployable software.

Akreon provides infrastructure for optimization-based control systems, turning synthesis and constrained optimization workflows into deterministic embedded software artifacts.

Control specification, convex synthesis, code generation, cloud-backed builds, and embedded deployment artifacts.

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Deployment gap

Control designs often pass simulation before they have a credible path to embedded execution. The gap is tooling, translation, runtime constraints, and validation evidence.

Fragmented tooling

Models, notebooks, solver scripts, generated code, and target builds are usually maintained as separate systems.

Manual translation

Controller logic is frequently rewritten by hand between analysis code and embedded implementation, adding review and regression burden.

Embedded constraints

Timing, memory, numeric conditioning, integration interfaces, and traceable build outputs must be handled before deployment.

Platform architecture

Akreon connects controls-fluent APIs, convex optimization infrastructure, and deployment pipelines into a single path from specification to embedded artifact.

Controls APIs

Python interfaces express models, objectives, constraints, synthesis problems, scheduling structure, and deployment targets.

Convex optimization layer

Workflows compile into linear, quadratic, conic, and semidefinite forms used for controller and observer synthesis.

Conic solver infrastructure

Proprietary conic interior-point infrastructure supports synthesis workloads and generated deployment paths.

Code generation

Generated C/C++ components, headers, metadata, and integration boundaries reduce hand translation from design code.

Cloud-backed builds

Managed build pipelines package artifacts, reports, and target-specific outputs without requiring custom internal infrastructure.

Embedded artifacts

Outputs are shaped for deterministic execution, review, validation planning, and integration into embedded control stacks.

Platform focus

The current beta surface centers on design-time synthesis, deployable control objects, generated C/C++ artifacts, and cloud-backed builds. Structured QP workflows and deployment integration may be scoped as pilots. MPC and trajectory optimization remain roadmap extensions.

Synthesis

State synthesis, observer and optimal estimator synthesis, H2/Hinf, Hinf loop shaping, mixed synthesis, LMI workflows, and gain scheduling.

Pilot QP workflows

Structured QP artifacts, CLF-CBF-style QPs, reference-governor QPs, and custom endpoints may be scoped with early technical users.

Roadmap runtime optimization

Embedded MPC, trajectory optimization, onboard constrained optimization, and generated MPC runtimes are roadmap expansion areas.

Applications

Akreon is built for teams whose controllers must leave the analysis environment and run inside constrained systems.

Robotics

Actuation limits, state constraints, generated controller artifacts, and pilot structured QP workflows.

Aerospace

Robust synthesis, gain scheduling, estimator/controller packaging, and validation-conscious integration outputs.

Spacecraft systems

Attitude, pointing, allocation, robust synthesis, observer artifacts, and constrained reference management.

Autonomous systems

Estimator/controller packaging, gain scheduling, and pilot CLF-CBF-style or reference-governor formulations.

Mobility platforms

Vehicle dynamics control, SISO/MIMO PID autotuning, actuator constraints, scheduling, and target-specific artifacts.