Rapidly transcribe support calls, candidate interviews, and meeting recordings using Speech-to-Text AI deployed on your cloud. Parse the transcripts to extract information and drive your business workflows. Kick off in days; a working prototype in 30 days.
Most enterprises sit on millions of recordings yet find it challenging to extract critical information present in these recordings. We help you extract info from audio files and convert recordings into searchable text, all using privacy-focused sovereign AI systems.
We fine-tune the best open source speech-to-text models to convert your recordings into transcribed text. We then use large language models (LLMs) and extraction pipelines to extract structured information from your audio files.
Get StartedYour audio, transcripts, and extracted information stay within your environment. We deploy our models on AWS, Azure, GCP, or on-prem and use open-source technologies to maintain privacy, data sovereignty and compliance; no unnecessary external data sharing.
Get StartedSpecialized Speech-to-Text Teams in Days, Not Months
Tap into our network of 500+ AI engineers, many of whom specialize in audio model fine-tuning and deployment. Skip the long hiring cycles and costs associated with sovereign AI while leveraging production-ready speech-to-text and insight-extraction systems.
Enterprises have stringent data compliance and privacy requirements. Our workflow is designed to build AI while staying compliant, using the top 3% of AI engineers from our network. Think of it as SaaS, but bespoke and done-for-you..
Book a quick discovery call to discuss your speech-to-text and sentiment analysis goals.
Get a complimentary GenAI implementation strategy session with our experts to evaluate your workflows and identify the highest-impact opportunities.
We create a custom sprint roadmap based on your priorities and prepare a fractional AI team aligned with your specific needs.
Sign a transparent sprint-based contract with clear terms and no long-term commitments.
Your AI team starts development immediately and delivers a working prototype with weekly demos and regular feedback loops.
We integrate the solution into your systems, whether on your private cloud or on-premise, and ensure it is fully production-ready.
Learn more about our platform and our approach to building fractional AI teams.
Healthcare providers extract clinical insights from patient consultations while maintaining HIPAA compliance. Financial services analyze trading calls and ensure regulatory compliance. Call centers identify customer sentiment and common issues to improve service quality. HR teams standardize candidate interview evaluations and extract key qualifications. Legal firms transcribe depositions and maintain attorney-client privilege with secure deployments.
ull-time Audio AI engineers cost $200K+ annually with 6+ month hiring cycles. Our fractional model gives you access to specialized engineers from our network of 500+ experts for a fraction of the cost. You get production-ready expertise without long-term commitments, benefits, or the risk of hiring the wrong talent.
Your sentiment intelligence systems are deployed securely within your own cloud or on-premise infrastructure - whether AWS, Azure, Google Cloud, or private servers. Our vetted team of top 3% AI engineers and architects are experts in enterprise-grade deployment, ensuring data privacy, compliance, and seamless integration with your existing systems. No third-party pipelines, no data exposure; your data stays fully under your control.
We deliver a working prototype in 30 days that includes: fine-tuned speech-to-text models for your specific use case, insight extraction pipelines, searchable transcript dashboards, and integration with your existing systems. You'll see weekly demos and can provide feedback throughout the process to ensure the final solution meets your exact needs.