Real-time actionable insights to empower call agents
Reduce handle times and increase agent productivity with instant multilingual transcription and insights. Seamlessly integrate with SIP and your tech stack.
Trusted by 600+ AI assistants and contact center platforms
What you can build with Gladia
Real-time agent assistance
Generate real-time prompts and information for next-best-action recommendations to assist call agents while on call, improving resolution rate and average handle time.
Automated customer support
Deploy advanced AI conversational agents, powered by speech recognition, RAG, and text-to-speech models, to ensure better routing with natural language IVR and handle routine tier-1 inquiries and tasks in full autonomy.
Quality monitoring automation
Create automated QA systems that use real-time call transcripts to monitor agent adherence to company policies and regulatory requirements.
Our customers achieved
30
%
less time spent on manual tasks
20+
languages transcribed per customer
75
%
instant user feature adoption
"Having tried numerous speech-to-text solutions, I can confidently say: Gladia's API outshines the rest. Their balance of accuracy, speed, and precise word timings is unparalleled."
Jean Patry
Co-founder
Built for developers
Add cutting-edge AI to your product in 3 clicks. Our API is compatible with all tech stacks and doesn’t require any AI expertise or setup costs.
ss Lower AI infrastructure costs. We leverage a proprietary know-how to fit more AI on less hardware — without compromising on quality and performance.
ss Technical edge. With Gladia, you get access to an optimized version of the most sophisticated ASR models and regular software upgrades at no extra cost.
ss Reduced time-to-market. By embedding advanced AI into your applications directly, your users can derive full value from your product from day one.
ss Easy-to-scale. Increase your processing capacity easily with our pay-as-you go system. Our enterprise-grade API is built to adapt to your ever-growing needs.
Read more
Speech-To-Text
ASR vs. LLMs – Why Voice is Among the Biggest Challenges for AI
Product News
Your Ultimate Guide to using LLMs with Speech Recognition is Here
Speech-To-Text
Build vs Buy in 2025: Should You Host an In-House Speech-to-Text Solution or Outsource to an API Provider?
By continuing your navigation, you apply the use of cookies intended to improve the performance and the functionalities of this site.