Prompt data types matter more than most developers realize. It started with a simple anomaly. We were building a complex multi-turn conversational agent for a client. The logic was sound, the model was the latest GPT-4, and the context retrieval was optimized. Yet, the agent felt… sluggish. Worse, it was hallucinating during complex reasoning tasks, and […]
How prompt data types are costing 40% in AI performance? Read More »
A Singapore-based AI-first startup partnered with InteligenAI to transform its innovative sales training platform into a robust, enterprise-ready SaaS platform. We re-engineered their AI modules, rebuilt the core architecture, and created a unified workspace designed for performance, scalability, and real-world enterprise adoption. The client set out with a clear vision:to reinvent how sales teams practice,
Architecting a scalable AI-driven sales agent training platform Read More »
In the rapidly growing video intelligence market—where organizations rely on real-time monitoring, alerting, and analytics—our client had already built one of the most robust computer-vision infrastructures in the industry. Their platform could process thousands of live video feeds, generate alerts in milliseconds, and manage a diverse ecosystem of devices across cloud and edge environments. But
Loan origination in the modern mortgage industry presents unique challenges.When a fast-growing fintech entered the mortgage brokerage space, they quickly discovered that speed was their biggest competitive advantage and their biggest bottleneck. Every loan file arrived with a stack of unstructured documents: bank statements in different formats, income proofs that varied from customer to customer,
AI-powered mortgage filing system for faster, more accurate loan origination in USA Read More »
As online examinations grow globally, EdTech platforms need accurate, scalable, and cost-efficient AI proctoring systems. This case study shows how InteligenAI helped a US-based exam proctoring platform replace generic vision APIs with a fully custom AI-based remote proctoring solution—designed to improve detection accuracy, reduce operational cost, and eliminate manual review bottlenecks. This work demonstrates InteligenAI’s
November 13, 2025 OpenAI has officially launched GPT-5.1, introducing meaningful improvements in reasoning depth, responsiveness, and conversational flow. Rather than a raw capability jump, GPT-5.1 feels like an upgrade to how users experience the model: Faster where needed More deliberate when required and more controllable overall. This release marks another step toward AI systems that
GPT-5.1: Discover What’s New in OpenAI’s Latest AI Model Read More »
OpenAI’s IndQA benchmark shifts the conversation from translation to native, culture-aware reasoning. Here’s what it means for AI product teams, startups, and enterprises, Published by InteligenAI — 12 November 2025 In today’s age of large-language models (LLMs) and generative AI, one major gap persists: language and cultural depth. Most benchmarks, systems and deployments assume English
Why the launch of IndQA by OpenAI matters for global AI — and why India is key Read More »
November 8, 2025 Open source projects for engineers are transforming development workflows. Discover three open-source projects (opencode, DeepCode, Llama-Factory) that bring AI into developer workflows: inside the terminal, from paper-to-code, and from model-to-deployment. Modern engineering teams want AI that fits their workflow. Whether you’re a backend engineer, a research scientist, or a DevOps lead, developer-native
3 open-source projects every engineer should try in 2025 Read More »
Overview Zero-shot (open-vocabulary) object detection lets models find and localize objects they were not explicitly trained on — using language prompts instead of thousands of class-specific annotations. This changes how enterprises approach vision projects: faster prototyping, less labeling, and new opportunities for real-time automation. Top 5 zero-shot object detection models: 1. OWL-ViT What it is:
Top 5 zero-shot object detection models in 2025 Read More »
AI use case in Sales: For large BPOs managing outbound insurance sales, manual quality assurance (QA) processes often struggle to keep pace with high call volumes. This leads to increased operational costs, subjective assessments, and the risk of missed regulatory breaches. InteligenAI recently partnered with a leading global BPO firm to address these challenges by
AI use case in Sales: Automating call audits and compliance for insurance sales Read More »