Our Products
We are the future of AI Products!
At Inventegy, we’re building AI products - agentic, using multi-LLM ecosystem that don’t just set the guidlines but learn, predict and solve business problems. Our cloud-native, RAG-powered, MCP-integrated AI products and solutions are being designed to eradicate business process inefficiencies, boost professional productivity, and maximize growth.
MVP Ready - Launching soon! 🚀
We are building something AWESOME!
Stay tuned—the future of AI-driven business is almost here!
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An Agentic AI Power House
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Hyper-personalized user experiences
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Targeted business journey to maximize growth
Waiting list will be available soon!
01 Next-gen AI that works alongside you
02 AI that transforms business efficiency
03 Transformative AI that empowers business growth
Frequently Asked Questions
Got any questions? we’re here to help
Inventegy AB is an Artificial Intelligence centric company. We are providing robust and futuristic AI-powered products which are solving modern business challenges and customers’ pain points. We also provide data/cloud solutions and consulting services within cloud/data architecture, AI/Data engineering and product management.
We start by analyzing your unique challenges (e.g., inefficiencies in product roadmaps, data silos, or marketing ROI) and design bespoke AI solutions—from predictive analytics for product management to automated cloud optimization. Our consulting ensures seamless integration with your workflows
We leverage auto-scaling, serverless architectures, and cost-monitoring tools (e.g., AWS Cost Explorer) to balance GPU-intensive training and inference workloads. Case studies show 30% cost savings for clients.
Yes. We specialize in cross-platform compatibility (AWS/GCP/Azure) using Kubernetes, Terraform, and custom APIs. For example, we’ve unified data pipelines across hybrid environments for leading industry clients.
Our MLOps pipelines include continuous monitoring (e.g., Prometheus/Grafana), A/B testing, and retraining loops. For a retail client, this reduced model drift by 40%