Import calls or connect pipelines
Bring recorded calls into Dialyx manually or through PBX, API, and downstream system integrations.
Dialyx gives QA and operations teams one configurable workspace for transcription, rule-based evaluation, resolution tracking, and agent coaching.
Built for QA managers, operations leaders, and training teams running high-volume conversations.
100%
Calls that can be evaluated
Rule-based
Compliance logic
100%
Calls that can be evaluated
Rule-based
Compliance logic
Local / Hybrid
Deployment model
Built for teams that need more than transcripts.
Dialyx turns recordings and live pipelines into consistent QA, compliance, and coaching workflows for call center teams.
Convert calls into searchable evidence with speaker roles and timestamps.
Configure evaluation depth, tone, focus areas, and custom instructions by workflow.
Check disclosures, required phrases, prohibited phrases, and script adherence against project logic.
Use the same scoring framework across teams, campaigns, and evaluation windows.
See whether calls reached the intended outcome and where objection handling broke down.
Choose the AI processing model that matches your privacy, latency, and cost constraints.
Operational workflow
The product is designed around how QA and operations teams actually work: capture, configure, evaluate, and improve.
Bring recorded calls into Dialyx manually or through PBX, API, and downstream system integrations.
Select the project logic that defines keywords, scripts, compliance rules, resolutions, and evaluator behavior.
Transcribe audio, evaluate calls, flag risks, and generate evidence-backed outputs for QA and compliance review.
Use flagged calls, objection patterns, and coaching recommendations to improve agent performance and process quality.
Workflow view
From call ingestion to coaching outputs, each stage is configurable around the needs of your team.
Capture
The difference is not just AI output. It is how Dialyx operationalizes evaluation, evidence, and follow-up.
Evaluate every eligible call against the same project rules and review exceptions first.
Sample a small fraction of calls and rely on reviewer notes that are hard to standardize.
Operational proof
Anonymized outcomes from QA, operations, and compliance-heavy environments. Metrics reflect real deployment patterns, without publishing customer identities before approval.
80%
Less review time
Manual review time dropped sharply once scoring, transcript evidence, and exception handling moved into one review queue.
Team type: QA team in a high-volume customer support operation
Scope: Pilot focused on recorded calls, calibration reviews, and exception-based QA sampling.
50%
Faster onboarding
Coaching sessions moved from generic feedback to real objection patterns, helping new agents ramp faster.
Team type: Training and enablement team supporting multi-shift onboarding
Scope: Used structured feedback outputs and repeat-pattern reviews during onboarding cycles.
100%
Deployment aligned with privacy requirements
Teams gained a review workflow they could audit, while keeping processing aligned with local or hybrid deployment requirements.
Team type: Compliance-sensitive operation with strict data handling requirements
Scope: Rolled out for regulated conversations with project-specific rules and searchable evidence.
Starting points for teams that want clearer QA, compliance, and coaching workflows
Public pricing reflects starting monthly packages. Enterprise workflows, deployment constraints, and custom compliance rules are scoped with the team before rollout.
For small businesses
€239 annual
500 calls/month · €0.50 per additional call
For growing businesses
€639 annual
2,000 calls/month · €0.40 per additional call
Custom solutions
Unlimited calls
FAQ
These are the decisions that usually matter first for QA, operations, and compliance stakeholders.
Book a guided demo to review how Dialyx can fit your QA process, compliance requirements, and deployment model.