Chatbots
Create always-on conversational experiences with the responsive, production-grade performance users expect.
problem
Chatbot infrastructure breaks when customers need it most
Tool-call failures break resolution flows
Support bots call RAG pipelines, CRMs, and internal APIs mid-conversation. Dropped generations leave users with incomplete or incorrect responses.
Slow responses erode customer trust
Support users expect instant answers. They have very little patience especially during high-stress moments like billing issues or outages.
Peak demand drives up costs
Without efficient batching and autoscaling, serving high-concurrency traffic becomes prohibitively expensive.
Spike traffic overwhelms support infrastructure
Sudden surges during outages or launches can stress the infrastructure, causing downtime when customers need help the most.
solution
FriendliAI powers production-grade customer service chatbots with 99.99% uptime
Reliable tool-call without dropped generations
Even in complex, tool-augmented workflows, FriendliAI ensures token streaming is uninterrupted and long responses finish reliably.
Instant support, every time
Optimized inference reduces time-to-first-token, so customers get answers without delay.
Cost-efficient autoscaling support
Dynamic autoscaling matches capacity to real traffic, eliminating over-provisioning and keeping costs predictable as volume grows.
Stable throughput under burst traffic
Continuous batching absorbs traffic spikes without degradation, while geo-distributed inference keeps support bots online across regions even during peak demand.
Open models are made for chatbots
Deploy the best open models for customer chatbots — optimized for low latency, reliable tool use, and always-on availability.
Have a custom or fine-tuned model?
We'll help you deploy it just as easily. Contact us to deploy your model.
How teams scale with FriendliAI
Learn how leading companies achieve unmatched performance, scalability, and reliability with FriendliAI
Our custom model API went live in about a day with enterprise-grade monitoring built in.
Scale to trillions of tokens with 50% fewer GPUs, thanks to FriendliAI.
Rock-solid reliability with ultra-low tail latency.
Cutting GPU costs accelerated our path to profitability.
Fluctuating traffic is no longer a concern because autoscaling just works.
Our custom model API went live in about a day with enterprise-grade monitoring built in.
Scale to trillions of tokens with 50% fewer GPUs, thanks to FriendliAI.
Rock-solid reliability with ultra-low tail latency.
Cutting GPU costs accelerated our path to profitability.
Fluctuating traffic is no longer a concern because autoscaling just works.
