Spitch
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About
Spitch is a Swiss-based provider of a Collaborative Agentic AI Platform designed to transform enterprise contact center operations. The platform is built on the philosophy of "human-in-the-loop," where autonomous AI agents handle routine tasks and inquiries while seamlessly augmenting human talent rather than replacing it. By integrating voice and text channels, Spitch enables businesses to provide 24/7 customer service that balances high-speed automation with the empathy and judgment of human agents when complex situations arise. The platform's architecture is modular and built on a Large Language Model (LLM) foundation that supports a variety of specialized tools. Key offerings include a Virtual Assistant for end-to-end self-service, Voice Biometrics for continuous caller authentication, and Speech Analytics for monitoring 100% of customer interactions. For live agents, Spitch provides "Agent Assist" and "Knowledge Agents" that utilize Retrieval-Augmented Generation (RAG) to deliver real-time prompts and unified information from internal knowledge bases, significantly reducing research time and improving resolution speed. Spitch is primarily tailored for large-scale enterprises in highly regulated industries such as banking, insurance, healthcare, and the public sector. It serves roles ranging from contact center managers seeking to lower Average Handle Time (AHT) to security teams requiring robust fraud prevention through voice verification. The platform includes low-code/no-code deployment tools, making it accessible for business users who need to build new AI-simulated training scenarios or customer service workflows without intensive technical development. What distinguishes Spitch from many competitors is its "open" platform approach and flexible deployment options. Unlike closed ecosystems, Spitch allows companies to integrate their own internal AI models or preferred third-party LLMs from major hyperscalers, preventing vendor lock-in. Furthermore, Spitch supports on-premises, private cloud, and hybrid deployments, ensuring it can meet the most stringent data residency and security requirements. This commitment to enterprise-grade standards is backed by ISO 27001:2022 certification and adherence to the latest global AI regulations.
Pros & Cons
Supports flexible on-premises and private cloud deployment for strict data residency.
ISO 27001:2022 certified ensuring enterprise-level security and compliance.
Open platform allows integration of custom internal or third-party LLM models.
Provides advanced voice biometrics for secure, continuous caller authentication.
Low-code/no-code tools enable business users to rapidly iterate on AI scenarios.
Pricing is not publicly listed and requires a custom discovery process.
The complexity of the modular platform may require dedicated deployment engineers.
Initial setup for high-availability Kubernetes environments can be technically demanding.
Use Cases
Banking compliance officers can use Voice Biometrics to verify caller identities in seconds, significantly reducing fraud risks.
Contact center managers can deploy Virtual Assistants to handle routine 24/7 inquiries, freeing human agents for complex issues.
Customer service trainers can use AI-simulated calls to sharpen agent skills and build confidence through realistic scenario training.
Support agents can utilize Knowledge Agents to instantly retrieve information from vast documentation using RAG technology.
Operations leads can monitor 100% of interactions via Speech Analytics to identify service quality trends and compliance gaps.
Platform
Features
• omnichannel chat platform integration
• quality management and automated scoring
• ai-driven agent training simulations
• real-time agent assist prompts
• knowledge agent with rag capabilities
• speech analytics for 100% call monitoring
• voice biometrics for caller verification
• virtual assistant for voice and text
FAQs
What is Collaborative Agentic AI?
It is an approach that unifies humans and AI to maximize automation for routine tasks while maintaining human empathy and control. This ensures AI supports staff through configurable guardrails rather than replacing them.
Can Spitch integrate with existing contact center systems?
Yes, the platform offers seamless integration with existing stacks using public APIs and dedicated adapters. Solution architects and deployment engineers support the process to ensure a smooth technical rollout.
How does Spitch handle data residency and security requirements?
Spitch supports on-premises, private cloud, and hybrid deployments to align with specific corporate security policies. The company is ISO 27001:2022 certified and adheres to global AI regulations like the EU AI Act.
Does the platform support third-party AI models?
The open architecture allows you to integrate third-party LLMs from hyperscalers or even your own internal AI models. This flexibility ensures you can use the best solution for each specific use case without vendor lock-in.
Which industries typically use Spitch solutions?
The platform is designed for large enterprises in banking, insurance, healthcare, retail, and the public sector. It addresses specific needs like secure authentication and automated call steering for high-volume environments.
Pricing Plans
Enterprise
Unknown Price• Virtual Assistant (Voice & Text)
• Voice Biometrics Authentication
• Speech Analytics Dashboard
• Agent Assist Real-time Prompts
• Knowledge Agent with RAG
• Quality Management & Call Scoring
• AI-powered Agent Training
• Omnichannel Chat Platform
• Hybrid/On-premises Deployment
• ISO 27001:2022 Compliance
Job Opportunities
There are currently no job postings for this AI tool.
Ratings & Reviews
No ratings available yet. Be the first to rate this tool!
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