LLMs & RAG
Build custom LLM and RAG systems for AI agents, assistants, copilots, and decision-support tools that need access to enterprise knowledge.
deepsense.ai provides custom AI software development and consulting for organizations building production AI systems. It focuses on LLMs, RAG, MLOps, computer vision, edge AI, and predictive analytics.
deepsense.ai is a custom AI software development and consulting company focused on helping organizations design, build, and deploy applied AI systems. The site presents the team as specialists in LLMs, RAG, MLOps, computer vision, edge solutions, and predictive analytics.
Its core purpose is to move AI work from early pilots into production systems that support real workflows. The company emphasizes guidance, architecture, implementation, and operational support for teams that want AI embedded in products, business operations, or internal tooling.
Build custom LLM and RAG systems for AI agents, assistants, copilots, and decision-support tools that need access to enterprise knowledge.
Design MLOps workflows for model training, CI/CD, monitoring, and other production operations that keep ML systems maintainable.
Develop computer vision solutions for image recognition, 3D modeling, and defect detection in applied industrial and product settings.
Apply edge AI for low-latency use cases in IoT networks, embedded systems, and remote monitoring where resources are constrained.
Use predictive analytics for tasks such as predictive maintenance, anomaly detection, and demand forecasting.
Provide AI guidance and consulting around strategy, architecture, and implementation for teams that need help selecting and scaling the right approach.
Teams can use deepsense.ai to design and implement AI agents, assistants, or copilots that rely on retrieval over enterprise documents and systems.
Organizations with existing pilots can move toward production by adding evaluation, monitoring, secure integrations, and workflow orchestration.
Product and operations teams can apply AI to tasks like predictive maintenance, anomaly detection, forecasting, and automation.
Industrial or product engineering teams can build computer vision systems for recognition, defect detection, and related visual inspection tasks.
Companies operating in constrained environments can apply edge AI to IoT networks, embedded systems, or remote monitoring with low-latency requirements.
It is an AI consulting and custom software development service focused on designing, building, and deploying production AI systems. The site highlights work across LLMs, RAG, MLOps, computer vision, edge AI, and predictive analytics.
The site positions the service for organizations that need help with AI strategy, implementation, or operationalizing existing AI pilots. It mentions global enterprises, tech enterprises, scaleups, startups, and teams already working with AI.
The site describes work that spans guidance, architecture, implementation, deployment, and ongoing optimization. It also highlights production concerns such as evaluation, monitoring, security, and workflow integration.
No pricing details are provided on the site, and the pricing URL currently returns a page-not-found result. The available evidence does not support any specific package or rate information.