GenTechCloud
Generative AI Applications
RAG assistants, copilots, semantic search, and content engines grounded in your knowledge base.
We design and deliver custom Generative AI, Agentic AI, and machine learning solutions on your data, with the evaluation, guardrails, and operations that turn promising demos into dependable systems.
Describe the outcome you're after. We'll turn it into a plan — and a working solution. Press Enter or hit send to start.
Getting value from AI takes solid data, retrieval, evaluation, guardrails, observability, and cost control. That engineering is exactly what we do.
RAG assistants, copilots, semantic search, and content engines grounded in your knowledge base.
Autonomous agents that use tools and APIs to plan and complete multi-step work, with safety rails and human oversight.
Prediction, recommendation, forecasting, anomaly detection, NLP, and computer vision models.
Training and deployment pipelines, automated evaluation, monitoring, and drift detection.
Customer and employee assistants that integrate with your systems and resolve real requests.
Extract, classify, and summarize documents at scale with human-in-the-loop accuracy.
Image, video, and language understanding for quality, safety, and automation.
Feature stores, vector databases, and pipelines that make your data AI-ready.
Privacy, bias and safety evaluation, lineage, and controls that keep auditors confident.
Identify a high-value use case, success metrics, and data readiness.
A proof of value with real data, evaluated against your metrics.
Harden with guardrails, observability, and integration into your workflows.
Monitor quality, cost, and drift — and improve continuously.
We choose the right models and tools for your needs — proprietary or open source, in your cloud.
We ground responses in your data with retrieval, add validation and guardrails, and build automated evaluation suites. Human-in-the-loop review is added where the stakes require it.
No. We deploy within your cloud and use providers and configurations that keep your data private and isolated. Data governance is defined up front.
A proof of value typically runs 2–6 weeks and produces a working, evaluated demo plus a clear path and business case for production.
Bring us a use case and we'll tell you honestly what it takes to make it real.