Guides, newsletters, press releases, and case studies from our team of AI engineers and researchers.
A raw LLM prompt carries no institutional memory. RAG fixes this at the architecture level — here's how to build a brand-aware social media generation pipeline using retrieval, hybrid search, and automated evaluation.
How we combined real-time speech analysis, sentiment detection, and LLM-powered responses to create an empathetic AI agent that actually listens — not just to words, but to emotions.
This article describes how you can build a voice-enabled assistant for product discovery and support.
Compare top AI image generation models for inpainting, virtual staging, and scene edits. See strengths, realism, control, and workflow fit for marketing and creative teams in 2026.
Learn how to generate long-form cinematic videos using LTX. This practical guide compares LTX-Fast vs LTX-Pro and scene-based vs single-prompt strategies for realism and continuity.
Learn how we productionized the open-source SleepFM-Clinical model, built a robust inference pipeline, and deployed it on Replicate with Cog to run predictions on EDF sleep study files
NextNeural’s Compliance Assistant streams AI answers from RBI circulars in real time, using SSE APIs to extract guidelines, reduce manual tracking, and simplify regulatory workflows.
Transform document workflows with AI-powered OCR agents on NextNeural. Upload PDFs, extract insights, and query reports, invoices, and compliance files through natural-language APIs Today.
This guide shows how to build an API-driven pipeline on NextNeural to capture sentiment, intent, and missed follow-ups that improve conversion rates.
AI Video KYC Agent by NextNeural enables secure, scalable identity verification using multi-speaker detection, lip-sync checks, audio analysis, APIs, and cloud-agnostic deployment.
Learn how hybrid caching boosts AI app performance - track hit rates, latency, ROI, and efficiency to cut response times under 100ms.
Build an AI Wealth Management Advisor using Qdrant, Gemini API, and LLMs. Enable users to query stocks, investments, and live market data with natural, human-like financial insights.
