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Virtual Assistants
Virtual Assistants with omnichannel capabilities

Virtual Assistants replace outdated IVR for first-line voice and text queries processing. From precise intent recognition and call steering to a fully automatic handling of standard customer requests in natural language with freedom to switch between channels without losing context... Explore more

Speech Analytics
Speech Analytics for Companies of Any Size

Speech Analytics analyses all your customer conversations in voice and text, including email and messenger chats, extracting a wealth of data for optimising your contact centre performance and improving customer experience... Explore more

Voice Biometrics
Voice biometrics for identification, authentication, and fraud prevention

Text-independent and hybrid voice biometrics products from Spitch use live spontaneous speech to identify and authenticate callers in a few seconds and ensure continuous identity verification throughout the conversation... Explore more

Essential steps for  Virtual Assistants:
Step 1
Spitch presents the OOTB capabilities:
  • Industry-specific OOTB models and scenarios
  • Tools for FAQ and customer requests development
Workshop 1 (2 hours):

Decision making on the list of the intents served by VA, additional data and integration requirements, if any

Step 2
Pilot operations:
  • Additional data (FAQ content, etc.) is provided
  • Spitch solution is deployed in the cloud or on premises
  • Client’s employees test VA
Workshop 2 (2 hours):

Pilot operations conclusion. Decision making on the list of intents/scenarios corrections and models fine tuning, if necessary

Step 3
Production operations starts:
  • Models/scenarios fine-tuning
  • Spitch solution is integrated with backends, if necessary
Workshop 3 (2 hours):

Presentation of the results and scale-up plan. Decision making on go to operations

Fully operational:

The client can scale up and manage VA

Essential steps for  Speech Analytics:
Step 1
Preparations by Spitch: (cloud delivery or on-premise installation)
  • The test data is uploaded
  • The AI models are adapted (if necessary)
Workshop 1 (2 hours):

Assessment of the transcriptions and definition of the evaluation criteria with the customer

Step 2
Spitch analyzes the test recordings:
  • The first markers and scripts are demonstrated
Workshop 2 (2 hours):

The evaluation results are discussed with the customer and adjustments implemented

Step 3
Spitch produces reports:
  • Fine-tuning for scripts and markers
Workshop 3 (2 hours):

Presentation of the results and know-how transfer / training for customer’s own adjustment and extensions

Fully operational:

The customer can upload and analyze data independently

Essential steps for  Voice Biometrics:
Step 1
Spitch presents the options:
  • Stand-alone verification (no integration)
  • Embedded verification for agent conversations, (CRM and other integrations required)
  • Authentication for self-services
Workshop 1 (2 hours):

Decision making on the integration architecture and enrolment process

Step 2
Customer onboarding starts:
  • Spitch solution is deployed and integrated for voiceprints enrolment purposes
  • The first voiceprints are being created in live conversations or from archive recordings
Step 3
Customer verification starts:
  • Models fine-tuning for FAR/FRR targets
  • Spitch solution is integrated for verification purposes
Workshop 2 (2 hours):

Presentation of the results and scale-up plan

Fully operational:

The client can scale up and manage the VB system

Virtual Assistants
Speech Analytics
Voice Biometrics