Release gate and continuous QA for chat and voice bots

Ship Bots. Control Risk. Secure Quality.

gentesty validates real bot journeys end-to-end and reliably detects regressions, model shifts, and behavior drift before customers are impacted. As a release gate, gentesty provides clear go/no-go decisions for every deployment. At the same time, gentesty establishes continuous bot QA with reproducible scores, quality trends, and defensible evidence for product, engineering, and business teams.

Bot Evaluation for releases and ongoing quality

Test quality live Get your first score fast Book expert call Validate use case and ROI

From test run to release trust

Real bot QA. In motion.

See how gentesty turns live conversations into release-ready evidence.

Less guessing. More clarity for product, QA, and engineering.

Gentesty is ideal for

Teams with business-critical conversational AI

Frequent releases or model changes
Growing quality complaints and support tickets
Compliance or reputation risk

Value with gentesty

Lower release risk
Less manual testing

−10–30% support tickets caused by bot defects

ISVs and SaaS vendors selling bots as a product

Customer-reported quality inconsistencies
SLA, renewal, or enterprise deal risk
Growth makes manual QA unsustainable

Value with gentesty

Higher retention and lower SLA risk
QA scales with product growth

Fewer support and escalation incidents

From Scenario to Verified Outcome

Decide Bot Quality with Clarity

gentesty turns vague bot approvals into a clear, measurable release and run-time quality story.

From test definition to automated execution and final evaluation, teams can see where real risks are, which scenarios are stable, and where model or behavior changes impact quality.

Real user journeys instead of artificial micro-tests
Comparable quality progression across releases and over time
Decision-ready insights for business and engineering

Example: Tim reports an insurance claim

Scenario

Tim wants to report a claim to his insurance company because his sunglasses are broken.

Expected output

Tim is asked for the value of the sunglasses. Tim is asked for his customer number. In the end, Tim receives the message that a confirmation email has been sent.

Test run

gentesty chats or calls the bot on Tim's behalf and executes the entire conversation end-to-end.

Result

Comparison of the actual versus expected message using criteria such as exact-match quality and semantic equivalence.

Technical Reliability

Reproducible E2E Tests

Repeatable end-to-end tests for chat and voice bots across environments.

−50–80% manual testing effort

Regression Detection

Automatic quality drift detection across prompt, model, and provider changes.

Regressions detected before release

CI/CD Integration

Workflow-ready quality gates integrated into existing delivery pipelines.

Faster releases without QA bottlenecks

Business Outcome

Release Governance

Clear go/no-go criteria for every production release.

−30–50% time-to-release

Risk Visibility

Surface quality and compliance risk before customers feel it.

Measurable quality and risk scores per release

Executive Reporting

Give leadership and audit teams defensible quality evidence.

−10–30% support tickets from bot defects

Measurable Quality

Clear indicators replace subjective quality discussions and gut feel.

Comparable quality indicators per release

Safer Releases

Go/no-go decisions are backed by objective release evidence.

Defensible go/no-go decisions

Calmer Operations

Fewer post-release escalations and more stable bot experiences.

Fewer critical escalations in production

Let's connect your bot

Chat or voice: with prebuilt integrations or a custom connection, we bring your bot into a measurable QA setup.

Voicebots

Phone-based voice testing without technical integration.

Prebuilt Chat Integrations

V Vapi

K Kore.ai

D Dialogflow

Custom Chatbots

Any custom chatbot can be connected and tested end-to-end.

Pricing

Choose the right model for your test volume, team size, and release cadence.

Note: In addition to the base fee, a per-run fee applies depending on the plan.

Free

Ideal for first tests and small experiments with one bot and one test case.

0 CHF / month

Pay as you go

Flexible billing per run and second. Ideal for irregular but intensive testing.

CHF 20 / month

Recommended

Business

For teams with regular regression tests and multiple bots. Better minute pricing and more parallelism.

Enterprise

For large volumes, high parallelism, and integrations into existing enterprise landscapes.