AI Consulting & Services
Skipping opening and closing credits has become an essential feature for video streaming services, popularized by Netflix. Our Credits Detection application accurately generates timeline markers for intros and outros in episodes of series and TV shows, ensuring seamless viewing with effortless transitions.
Fine-Tuning AI models
We fine-tune Whisper and other speech-to-text models, as well as large language models (LLMs), to improve performance in low-resource languages and specialized contexts such as news, sports, and entertainment.
Our approach combines prompt optimization, lightweight adaptation techniques such as LoRA and QLoRA, and domain-specific data augmentation.
Models are deployed efficiently across cloud, hybrid, or on-prem infrastructures, ensuring scalability and fast inference.
Custom AI Pipelines And PoCs
Ignifai designs and implements end-to-end video AI workflows including custom metadata enrichment, content moderation and classification, video asset transformation and upscaling, duplicate detection, and automated quality control (QC). Deployments run in the cloud, on-premise, or hybrid environments, fully integrated with your CMS/MAM.
We help broadcasters, studios, and media platforms define, deploy, and evaluate AI solutions tailored to operational and editorial needs. Our services combine strategic insight, technical expertise, and product vision to deliver reliable, user-centric AI systems.
We support:
- AI product strategy and roadmap definition
- Testing, evaluation, and validation of AI outputs and prompts
- UX/UI design for human-in-the-loop interfaces
- Integration of AI into MAM, OTT, and post-production workflows
- Development of custom models for speech, image, and metadata automation
From early-stage consulting to large-scale deployment, Ignifai enables teams to adopt AI with clarity, confidence, and measurable impact.
Ready to work with us?
Discover how our AI platform can enhance your content.