Fluents.ai | Fluents + AI21 Labs: Run Jamba as Your Voice AI Conversation Engine
Use AI21 Labs Jamba as the conversation engine in Fluents. Available for enterprise teams with AI21 agreements or evaluating hybrid SSM-Transformer architecture for long-context voice AI.
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
![AI21 Labs Jamba models available as alternative conversation engine in Fluents for enterprise deployments](/images/68c1aa122513192e19ae248c-n 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.
Calls That Just Work
No per-minute taxes. No brittle workflows. Just enterprise-grade reliability with API-level flexibility.
![Fluents.ai AI platform dashboard interface screenshot](/images/68c1a5e95a5a8f4282be60bc-nRelated Resources
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“Fluents made it incredibly fast to get our AI agent live. It replaced an answering service that cost 5x more - and performed better. Trusted partner, excellent quality, zero hassle.”
![Business professional photo](/images/68c1a5e95a5a8f4282be60bc-nAlvin Ramin
Premier AI Advisors, Partner
![Premier AI Advisors logo](/images/68c1a5e95a5a8f4282be60bc-n FAQs
Questions about AI21 Labs in Fluents.
What makes Jamba different from Gemini for voice AI?
Jamba's hybrid SSM-Transformer architecture is particularly efficient at processing long contexts. For most Fluents use cases, Gemini performs better overall. Jamba becomes relevant when you have very long calls, existing AI21 agreements, or specific benchmarking requirements. Contact the team to discuss.
Is AI21 available for all Fluents plans?
Alternative LLM configuration is an enterprise feature. Contact the Fluents team to discuss requirements and availability.
Does switching to Jamba affect Fluents' other stack components?
No. ElevenLabs handles voice synthesis and Deepgram handles transcription regardless of conversation engine. Your agent configurations and Insights output format are unchanged.