From Call to Billable Evidence
Arbitra ingests calls from your call platform, transcribes and evaluates using your providers, then applies deterministic scoring policies.
Evaluation Pipeline
Ingestion
Call platform + recordings
Transcribe
Evaluate
Reports
Scores, evidence, and exports
The Four-Stage Pipeline
Call Ingestion
Calls sync from your call platform with recordings and metadata.
- Connect call platforms and recording tools (GoHighLevel, OpenPhone, RingCentral, and more)
- Pulls call metadata and recording links automatically
- Tracks call status through transcription and evaluation
- Designed for multi-client agency workflows
Transcription
Transcription with diarization and timestamps.
- Speaker diarization (who said what, when)
- Word-level timestamps for review and evidence
- Bring your own transcription provider (AssemblyAI supported today)
- Dual-channel / wideband audio improves diarization when available
- Mono 8kHz call audio has inherent accuracy limits
- Transcription is independent from scoring logic
Criteria-Based Evaluation
Provider-agnostic evaluation of your criteria and rules.
- Define criteria with weights, types, and rules
- Each criterion is evaluated independently
- Provider keys live in Settings and override env defaults
- OpenAI and Anthropic supported today; other providers available by request for private deployments (e.g., AWS Bedrock)
- Cross-provider fallback on retryable failures
Deterministic Scoring + Reporting
Business rules applied consistently with client-ready exports.
- Deterministic scoring policy for billable, tier, and outcome
- Review reasons and manual overrides for edge cases
- PDF and CSV exports for client billing workflows
- Evaluation history and scoring changes retained
Operational Guardrails
Provider Settings That You Control
Bring your own keys. Choose models per provider. Settings in the app override env defaults.
Evaluation Providers
Provider-agnostic evaluation layer. OpenAI and Anthropic are supported today; privacy-first deployments can use providers like AWS Bedrock by request.
- OpenAI (GPT models)
- Anthropic (Claude models)
- AWS Bedrock (by request)
- Cross-provider fallback on retryable errors
Transcription Provider
Transcription provider is configurable. AssemblyAI is supported today, and private deployments can use other providers by request. Accuracy depends on recording quality and format.
- AssemblyAI transcription (default)
- Speaker diarization
- Dual-channel/wideband audio recommended
- Bring your own provider key/credentials
See the pipeline in action
Reserve a Private Deployment Sprint to see a call go from audio to scored evidence with your criteria.