# Vinaka

> Run your compiled firmware against virtual hardware. Automate tests, reproduce failures, and validate embedded systems without setting up a physical board for every run.

Canonical product page: https://www.vinaka.ai/

## Product and availability

Hardware emulation for embedded firmware testing. Built for firmware and validation teams across embedded products. Available for early-access evaluation.

Build your evaluation around your target, firmware configuration, interfaces, and a test that matters to your team.

## Current evaluation workflow

- **High-fidelity emulation:** Run actual firmware against modeled hardware interfaces, state, and timing.
- **Failure tracing:** Connect failed assertions to firmware execution, peripheral interactions, and diagnostic evidence.

## Product direction

Vinaka is building one development loop for high-fidelity emulation, automatic test generation, fault injection, and failure tracing. Run firmware, explore failure conditions, and bring execution evidence into the next engineering decision.

Move beyond happy-path testing. Explore boundary conditions, inject faults, and investigate failures in repeatable virtual hardware environments.

- **High-fidelity emulation:** Run actual firmware against modeled hardware interfaces, state, and timing.
- **Automatic test generation:** Generate test cases using firmware requirements and hardware context.
- **Fault injection:** Exercise failure scenarios inside the emulated environment.
- **Failure tracing:** Connect failed assertions to firmware execution, peripheral interactions, and diagnostic evidence.

## Product workflow example

Follow an industrial-controller example from a connected virtual bench through Python test conditions, a timed fault scenario, and execution evidence.

### [Run the firmware](https://www.vinaka.ai/#workflow-run-firmware)

Load compiled firmware into a configured virtual bench.

This example connects a controller to sensors, a motor drive, and a modeled plant. A single bench brings the components and firmware-facing interfaces into the test.

### [Define the conditions](https://www.vinaka.ai/#workflow-conditions)

Check nominal speed before the fault activates.

The Python example requests 1,800 rpm and checks the healthy reply at 2.84 seconds against ±5%. This nominal-speed check precedes the fault activation at 3.00 seconds; the fault plan defines the subsequent diagnostic check.

test_speed_tracking.py:

```python
def check_nominal_speed(bench):
    console = bench.port("controller", "Console")
    bench.wait_ms(400)
    console.write_line("SET_RPM 1800")
    bench.wait_ms(2400)
    request = console.write_line("GET_SPEED 17")
    reply = console.expect_line(
        pattern=r"SPEED 17 [0-9]+",
        after=request.submitted, within_ms=200,
    )
    rpm = int(reply.text.rsplit(" ", 1)[1])
    assert 1710 <= rpm <= 1890
```

### [Inject a fault](https://www.vinaka.ai/#workflow-fault)

Introduce incorrect feedback at a precise virtual time.

The fault-plan example sets reported speed to 720 rpm in Modbus register 40001 from 3.00 to 5.00 seconds. The recovery requirement calls for a mismatch diagnostic within 500 ms of the first incorrect reply.

speed_feedback.fault.yaml:

```yaml
target: { component_id: motor-drive, endpoint: Modbus RTU }
filter: { register: 40001 }
operation:
  primitive: set
  params: { value: 720 }
activation: { at_ms: 3000 }
disable: { at_ms: 5000 }
validation:
  diagnostic: SPEED_TRACKING_FAULT
  within_ms: 500
  anchor: first_mismatched_reply
```

The fault-plan example keeps the target, override, activation time, and recovery requirement together in one readable configuration.

### [Inspect the result](https://www.vinaka.ai/#workflow-results)

Trace the diagnostic check to its execution evidence.

The nominal-speed check passes at 2.84 seconds. Fault activation at 3.00 seconds is followed by the first mismatched reply at 3.04 seconds. That reply starts the 500 ms window for SPEED_TRACKING_FAULT. The missed deadline at 3.54 seconds establishes the diagnostic-check failure.

### Speed-tracking evidence example

| Check | Expected | Observed | Virtual time |
| --- | --- | --- | --- |
| Nominal speed | 1,710–1,890 rpm | 1,800 rpm; nominal check passes | 2.84 s |
| Reported speed | 1,710–1,890 rpm | 720 rpm | 3.04 s |
| Mismatch diagnostic | SPEED_TRACKING_FAULT within 500 ms | Diagnostic absent at deadline; recovery gap identified | 3.54 s |

## Accuracy and speed

Firmware interacts with more than a processor. Vinaka models connected peripherals, device state, and timed events alongside firmware execution, making hardware-dependent behavior testable in a repeatable software environment.

- **Beyond the CPU.** Model how connected peripherals change state and respond over time, so firmware tests exercise interactions rather than isolated register values.
- **Repeatable by design.** Preserve the configuration, inputs, and event sequence for each run. Reproduce failures without rebuilding conditions on a physical bench.
- **More iteration, less setup.** Modify a scenario, rerun the test, and inspect the result in software. Reserve physical hardware for the checks that require it.

Evaluate fidelity against the behavior your firmware depends on: interface responses, state transitions, and timing requirements.

Compare the emulated response with a configured response profile, then define the interface behavior and timing requirements that matter for your evaluation.

## Evaluating Vinaka

### [Who is Vinaka for?](https://www.vinaka.ai/#evaluation-audience)

Firmware and validation teams across embedded products.

### [What does it run?](https://www.vinaka.ai/#evaluation-firmware)

Compiled firmware against configured emulated hardware. The technical demo establishes the model and interface scope for your target.

### [Which problems does it address?](https://www.vinaka.ai/#evaluation-fit)

Expand test coverage, reproduce failure conditions, exercise recovery paths, and inspect firmware behavior in software.

### [How is compatibility established?](https://www.vinaka.ai/#evaluation-compatibility)

Build your evaluation around your target, firmware configuration, interfaces, and a test that matters to your team.

### [What should I bring?](https://www.vinaka.ai/#evaluation-preparation)

Bring your target details, firmware format, relevant interfaces, and one test or failure to investigate. Use the technical demo to shape your first evaluation.

### [What happens next?](https://www.vinaka.ai/#evaluation-next-step)

Book a technical demo to see the emulator, discuss your target, and scope an early-access evaluation.

## Engineering articles

### [What Firmware Emulation Needs to Get Right](https://www.vinaka.ai/blog/what-firmware-emulation-needs-to-get-right)

A packet check can pass in emulation and fail on hardware. DMA buffer reuse shows why the model’s behavior matters.

## Published pages and sections

- [Product homepage](https://www.vinaka.ai/)
- [Why Vinaka](https://www.vinaka.ai/#why-vinaka)
- [How it works](https://www.vinaka.ai/#emulator)
- [Accuracy & speed](https://www.vinaka.ai/#fidelity)
- [Blog](https://www.vinaka.ai/blog)
- [Workflow and evaluation details](https://www.vinaka.ai/#workflow-details)
- [Book a demo](https://www.vinaka.ai/#contact)