Your QA team
in a box.
Unlimited autonomous testing. The reliability enterprise customers expect. Your AI, running on your own appliance.
Qarmiq brings autonomous QA agents, local AI inference, persistent product context, and evidence-backed defect intelligence together in a dedicated appliance powered by E31. Run autonomous testing without paying for every test or getting boxed in by usage limits on external AI workflows. Keep control of your code, test data, and AI operations within your own environment.
Your code is accelerating. Your QA shouldn’t be the bottleneck.
AI coding tools help teams build software faster. But the more code teams ship, the more testing they need. Traditional QA teams struggle to keep pace, while AI-driven testing workflows can run into model usage limits, per-run costs, and security restrictions.
QA can’t keep up
Manual regression testing and repetitive checks slow down releases.
AI usage gets capped
External AI services and agentic workflows may impose rate, token, or usage limits.
Bugs reach customers
Test coverage gaps become production incidents, rework, and lost trust.
Sensitive data creates friction
Source code, test environments, and product data may not be suitable for external AI processing.
The capability of a QA team. The economics of an appliance.
Instead of hiring more people to repeat the same checks, give your engineering team an autonomous testing system that can test, investigate, verify, and report.
Unlimited autonomous tests
Run as many tests as your deployed appliance’s capacity and configuration support, without per-test AI charges or externally imposed workflow quotas from a hosted AI provider.
Autonomous QA workflows
Agents execute test scenarios, explore application behavior, investigate failures, and re-test fixes with less repetitive manual effort.
A system that learns your product context
Persistent memory, retrieval, evaluation, and traceability help testing workflows use relevant product knowledge and produce more auditable results.
AI under your control
Run supported AI inference and retain operational records locally, with connectivity governed by your deployment’s security policies.
“Unlimited” means no per-test or external workflow quota in the offering. Actual throughput remains bounded by appliance capacity, model performance, and the agreed deployment configuration.
A complete autonomous QA stack, in one appliance.
The appliance combines Qarmiq’s testing application with the AI capabilities it needs to operate reliably. Rather than relying on a chain of external AI services for every workflow, the supported AI operations run locally on the appliance.
- Autonomous QA agents
- Test execution engine
- Defect investigation
- Reports and evidence
- Local model inference
- Memory and retrieval
- Evaluation and tracing
- Policy-controlled connectivity
- Model runtime
- Product context
- Test records and logs
- Deployment security
Qarmiq application
Orchestrates autonomous tests, investigates defects and verifies fixes, and presents actionable findings and test evidence.
Local AI capabilities
Supplies local inference for supported workflows, provides memory and retrieval for relevant product context, and supports evaluation, tracing, and policy-controlled connectivity.
Appliance foundation
Provides dedicated compute and storage, supports model runtime, product context, test records, and execution logs, and applies deployment-level security controls.
Application and test environment
Gives Qarmiq authorized access to the applications and test systems it needs to validate. It may remain in your existing environment and does not need to be hosted on the appliance.
The Qarmiq application runs on the appliance. The application being tested may remain in your environment. Access is configured and authorized for each deployment.
Your code stays in your environment. Your AI works there, too.
For organizations where sending code, test data, or product information to third-party AI services is restricted, the appliance offers a different deployment model.
Supported models process requests on the appliance rather than requiring every inference call to go to a hosted AI provider.
Configure access to code repositories, test environments, and application data according to customer permissions.
Keep supported execution traces, evaluations, and test evidence within the configured deployment boundary.
Define permitted network access and update mechanisms according to your security requirements.
Network isolation, retention, remote access, updates, and any no-egress or air-gapped configuration are confirmed for each deployment.
Stop scaling QA headcount just to keep up with code.
A traditional QA team costs more than salaries. It also requires onboarding, coordination, repeatable processes, and ongoing management. Meanwhile, repetitive testing consumes time that experienced engineers could spend on higher-value work. Qarmiq on a dedicated AI appliance offers another way to scale testing capacity.
Increase QA headcount or outsource more testing as your product and release frequency grow.
Deploy a persistent autonomous QA system that can execute repetitive tests, investigate failures, and re-test fixes, without a separate hosted AI charge for every test.
One appliance. A broad set of QA capabilities.
Regression testing
Repeat checks as your product changes.
Defect investigation
Help investigate and verify failures.
Release validation
Test changes before they reach production.
Evidence and reporting
Give teams actionable findings and test records.
One appliance can automate a substantial share of repetitive QA work, potentially reducing the need to grow the QA team at the same rate as engineering. Human QA professionals remain important for exploratory testing, complex judgment, risk prioritization, and release decisions.
For teams shipping faster, with more at stake.
Enterprise engineering teams
Increase testing capacity without turning every release into a headcount decision.
Security-conscious organizations
Keep supported AI processing and operational data within a controlled deployment environment.
AI-first development teams
Match faster code generation with ongoing, autonomous validation.
Regulated and data-sensitive industries
Evaluate a deployment model designed around local processing and customer-controlled access.
Designed around your environment.
Understand your QA workflow
Identify your applications, test environments, existing tools, security requirements, and testing priorities.
Deploy the appliance
Install the integrated Qarmiq and AI capabilities in the agreed environment and configure authorized access.
Validate and calibrate
Establish test scenarios, check findings against expected behavior, and tune execution to your application’s needs.
Scale autonomous testing
Run supported testing workflows within the appliance’s capacity, review evidence, and improve coverage over time.
Qarmiq’s autonomous QA. E31’s sovereign AI appliance.
Qarmiq provides the application intelligence that tests software, investigates defects, and reports product quality. E31 provides the dedicated appliance and local AI capabilities that support inference, product context, evaluation, and controlled operation. Together, they deliver a sovereign QA solution designed to bring autonomous testing into your environment.
Autonomous QA application
Autonomous testing workflows. Test execution and defect investigation. Reports, findings, and evidence.
Sovereign AI appliance and local AI capabilities
A dedicated appliance. Local inference for supported models. Memory, retrieval, evaluation, and tracing capabilities. Policy-controlled connectivity and deployment controls.
Frequently asked questions.
Does “unlimited tests” mean unlimited computing capacity?
No. It means the offering is designed to avoid per-test AI charges and external workflow quotas for supported testing. Actual test throughput depends on hardware capacity, model performance, concurrency, and test complexity.
Does the appliance replace an entire QA team?
It can automate a substantial share of repetitive and structured QA work, reducing the need to expand headcount proportionally. It does not eliminate the need for human judgment, exploratory testing, and release accountability.
Does my application need to run on the appliance?
Not necessarily. Qarmiq can be hosted on the appliance while connecting to your application or staging environment through authorized access. The exact topology depends on the application and deployment requirements.
Does my code or data leave the appliance?
Supported AI inference and configured records can remain local. Network access, integrations, telemetry, updates, and any external dependencies are reviewed for your specific deployment before we make any no-egress commitment.
Can it run fully offline?
Potentially, if the required models, application dependencies, updates, and test integrations support an offline deployment. This is confirmed during technical qualification.
Do I need to change my existing development workflow?
The objective is to integrate with supported applications and test environments while keeping your team’s existing development process intact wherever possible.
Your QA team in a box.
See what autonomous QA could look like inside your environment. Explore the appliance, testing capabilities, security model, and potential impact on your QA operations.