Voice AI systems optimized for
real-time performance
We build voice-to-voice assistants, call intelligence pipelines, and real-time agent assist—focused on latency, accuracy, compliance, and workflow integration.
Problems we solve
What you get
- Voice pipeline design (STT/TTS, diarization, streaming)
- Analytics (intent/sentiment/topics/QA scoring)
- Latency + reliability tuning
- Integrations (CRM/helpdesk/VoIP/storage)
- Monitoring + dashboards + runbooks
Latency & Reliability
Streaming vs Batch
Real-time streaming for live assist, batch for post-call analytics
Fallback behavior
Graceful degradation when services are slow or unavailable
Noisy audio handling
Robust processing for real-world call quality
Human review escalation
Low-confidence cases routed for human review
How it works
Call
Audio stream
Transcribe
Real-time STT
Analyze
Intent/sentiment
Assist
Agent suggestions
Summary
CRM update
Example workflows
Integrations & systems
ISO-backed delivery
Certified processes & security
Security-first
Enterprise-grade controls
Full documentation
Runbooks + handover
Frequently asked questions
Do you support streaming real-time?
Yes. We build streaming pipelines for live transcription and real-time agent assist with sub-second latency
How do you handle compliance needs?
We detect required disclosures, flag missing elements, and maintain audit trails for compliance review.
Can you integrate with our tools?
Yes—we integrate with common inbox, ticketing, CRM, ERP, and storage systems via APIs and connectors
Can you score calls against our checklist?
Yes. We configure custom QA scorecards based on your quality criteria and compliance requirements.
How do you handle low confidence?
Low-confidence transcriptions or analyses are flagged for human review with confidence scores.
Ready to get started?
Let's discuss your use-case and map the fastest path to production.
When to use what
Use Prompting
When rules are simple and risk is low
- Simple classification
- Low stakes
- Fast iteration needed
- No training data
Use RAG
When answers depend on changing knowledge
- Dynamic knowledge base
- Need citations
- Frequent content updates
- Multiple sources
Use Fine-tuning
When you need consistent formats + high precision + domain behavior
- Consistent output format
- Domain-specific language
- High precision required
- Cost optimization