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Dasha
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Dasha Verified Tool

Dasha is a developer platform for building and operating low-latency conversational voice agents at production scale, with APIs, orchestration and support for large call volumes. Teams should disclose automation and recording, obtain required consent, protect caller data, test latency, interruption, accents and emergency routing, restrict agent actions, monitor calls, control spend and maintain human escalation.

Last Update: August 20, 2026

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Starting price Free + usage-based pricing

Tool Information

Dasha is a developer platform for building and operating low-latency conversational voice agents at production scale, with APIs, orchestration and support for large call volumes. Teams should disclose automation and recording, obtain required consent, protect caller data, test latency, interruption, accents and emergency routing, restrict agent actions, monitor calls, control spend and maintain human escalation.

Use authorized, minimal inputs and grant integrations the least access required. Configure privacy, retention, sharing, quality, accessibility, disclosure, export, governance, moderation and spending controls. Test representative cases, verify generated facts, calculations, citations, code, financial data, voice and visual details, preserve originals and version history, and retain accountable human approval before publication, investment, customer contact, deployment or operational action.

Developers can start building free, with production cost based on voice-agent usage and enterprise requirements. Call minutes, concurrency, phone numbers, models, regions, integrations, support, contracts and taxes determine cost.

AI output can be inaccurate, biased, derivative, insecure, incomplete or misleading. Review consent, copyright, likeness, voice and commercial rights, training and retention terms, renewals, refunds, platform rules and applicable law. Financial, voice, customer-service, workplace, biometric, retail and geospatial workflows require qualified human review.

F.A.Q (3)

Dasha is a developer platform for building and operating low-latency conversational voice agents at production scale, with APIs, orchestration and support for large call volumes. Teams should disclose automation and recording, obtain required consent, protect caller data, test latency, interruption, accents and emergency routing, restrict agent actions, monitor calls, control spend and maintain human escalation.

Use authorized, minimal inputs and grant integrations the least access required. Configure privacy, retention, sharing, quality, accessibility, disclosure, export, governance, moderation and spending controls. Test representative cases, verify generated facts, calculations, citations, code, financial data, voice and visual details, preserve originals and version history, and retain accountable human approval before publication, investment, customer contact, deployment or operational action.

Verified pricing: Free + usage-based pricing. Developers can start building free, with production cost based on voice-agent usage and enterprise requirements. Call minutes, concurrency, phone numbers, models, regions, integrations, support, contracts and taxes determine cost.

Pros and Cons

Pros

  • Builds production voice and text AI agents
  • Provides a browser-based development environment
  • Offers a REST API for rapid integration
  • Includes 1;000 free minutes without a credit card
  • Supports more than 30 languages
  • Can switch languages during a call
  • Works with multiple LLM providers
  • Provides fine-grained conversation-flow control
  • Supports interruptions; pacing; transcription; and warm transfers
  • Can call HTTPS services and update databases during conversations
  • Offers multi-agent scenarios and testing workflows
  • Scales to high concurrent-call volumes
  • Bills connected usage by the second
  • Does not charge the agent layer for failed connection attempts
  • Growth includes a 99.99% uptime target
  • Offers volume and committed-usage discounts

Cons

  • Growth starts at $0.08 per connected minute
  • VoIP charges are excluded from the headline rate
  • LLM token costs are excluded from the headline rate
  • The free plan supports only one concurrent call
  • Production pricing requires contacting sales
  • Complex voice workflows require development and testing
  • Speech recognition can fail with accents; noise; or unusual names
  • Latency claims rely partly on vendor-selected benchmarks
  • Voice agents can hallucinate or take incorrect actions
  • Call recording and transcription create privacy and consent obligations
  • Outbound calls must comply with telemarketing and do-not-call laws
  • Human escalation is still necessary for sensitive conversations
  • High concurrency can create a large and variable bill
  • Model; carrier; storage; and monitoring costs must be added to total cost
  • Natural-sounding AI can confuse callers unless disclosed appropriately
  • Database and API actions need strict permissions and guardrails

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