AI21's hybrid architecture model — available as an alternative LLM for your Fluents voice agents.
Fluents uses Google Gemini as its default conversation engine. AI21 Labs' Jamba model is available as an alternative for enterprise customers with existing AI21 agreements or those evaluating the performance of AI21's novel hybrid SSM-Transformer architecture for their specific voice AI use case.
Jamba's architecture combines the long-context efficiency of state space models with the reasoning quality of transformers — potentially offering advantages in processing long intake calls or complex multi-document contexts during conversations.
Jamba's hybrid architecture handles very long context efficiently — useful for complex intake calls that cover a lot of ground before completing
Available for teams with existing AI21 enterprise agreements who want to consolidate their AI model usage under a single vendor relationship
Strong instruction-following supports the structured intake, qualification, and data extraction workflows that Fluents agents run
The Fluents Stack With Jamba
Replacing Gemini with Jamba in Fluents means: Deepgram transcribes the caller's speech, Jamba processes the conversation and generates the agent's response, and ElevenLabs synthesizes that response into voice. The call orchestration, context injection, CRM writing, and Insights output all remain identical — only the LLM reasoning layer changes.
Long Intake Calls: Where Jamba's Architecture Shines
FNOL insurance calls and legal intake calls can run long — 8-15 minutes of back-and-forth before all required information is collected. Jamba's hybrid architecture maintains long context efficiently, meaning the agent retains full recall of everything said earlier in the call without degradation. For organizations where long-context retention is a pain point with other models, Jamba is worth evaluating.
Enterprise Vendor Consolidation
Organizations that have signed enterprise agreements with AI21 Labs for other use cases — document analysis, summarization, classification — can extend that relationship to their Fluents voice AI deployment. Consolidating under a single AI vendor simplifies procurement, compliance review, and data processing agreements.