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- Why Cyvyon?
Harness the power of foundation models. We design, fine-tune, and deploy enterprise-grade generative AI systems that understand your data and drive innovation.
Get a Custom AI AssessmentYou've probably heard of ChatGPT. Generative AI is the technology behind it - the ability for a computer to understand language, answer questions, write documents, and hold conversations that feel genuinely human. But the public version of ChatGPT only knows general information. What Cyvyon builds is a private, secure version trained on your company's own data, documents, and processes.
Instead of searching through folders and asking colleagues, your staff asks a question and instantly gets the right answer - pulled from your internal policies, past projects, contracts, or product data.
An AI agent can handle your customers' questions 24/7 - answering account queries, booking requests, or complaints - with the knowledge of your best support agent, available at any hour.
Unlike public AI tools, everything we build stays inside your secure environment. Your confidential business information never leaves your control or gets shared with anyone else.
A law firm whose AI reads and summarises 50-page contracts in 30 seconds, flagging unusual clauses for lawyers to review
A hospital that built an AI to answer staff questions about clinical procedures, reducing time spent searching policy documents by 70%
An e-commerce retailer whose AI generates personalised product descriptions and marketing emails in their exact brand voice
A financial services company whose AI scans thousands of regulatory documents overnight and alerts compliance teams to anything relevant
From custom conversational agents to automated content generation, our generative AI solutions are secure, scalable, and built for complex business needs.
Connect LLMs securely to your proprietary enterprise data. We build RAG pipelines with advanced vector databases to provide accurate, context-aware AI responses without hallucinations.
Deploy autonomous AI agents that don't just answer questions, but execute complex multi-step workflows, interact with your APIs, and make logical decisions.
Adapt open-source models (Llama 3, Mistral) or fine-tune commercial APIs (GPT-4, Claude) to master your specific industry terminology, tone, and reasoning patterns.
Optimize model inputs through systematic prompt design, evaluation, and version control to maximize output quality and reduce API costs.
Design and implement scalable semantic search architecture using Pinecone, Milvus, or Qdrant to power high-performance AI retrieval systems.
Seamlessly embed generative AI capabilities into your existing SaaS products, internal tools, and customer-facing applications.
Generative AI is only valuable when it delivers ROI. Our custom AI solutions are designed to automate repetitive tasks, augment human intelligence, and unlock new revenue streams.
Reduce time spent searching for internal documents and data by up to 80% with semantic search and RAG systems.
Scale content creation and assist developer teams to achieve 40%+ productivity gains.
Deploy intelligent support agents that resolve complex tier-1 and tier-2 queries instantly, improving CSAT scores.
A global legal firm needed to analyze thousands of complex contracts daily, a process taking 45 minutes per document.
We deployed a secure, on-premise custom RAG system fine-tuned on legal terminology using Llama 3, connected to their secure document vault.
Reduction in document processing time
Data security is our top priority. For enterprise clients, we implement zero-retention API policies, deploy open-source models within your private cloud infrastructure (VPC), or use dedicated instances on Azure OpenAI/AWS Bedrock. Your data is never used to train public foundation models.
Standard LLMs like ChatGPT only know public information up to their training date and tend to hallucinate when asked specific enterprise questions. RAG (Retrieval-Augmented Generation) connects the LLM to your internal databases, ensuring answers are strictly based on your proprietary, up-to-date data, providing citations for every claim.
Our typical engagement starts with a 2–4 week Proof of Concept (PoC) to validate feasibility. Full production deployment of a customized RAG system or Agentic workflow usually takes between 8 to 16 weeks, depending on data readiness, integration complexity, and security requirements.
Book a discovery call with our AI engineers to discuss your use case and get a technical feasibility assessment.
Get a Custom AI Assessment