Sygnoos AI & Automation Services
We build AI that works in production, not just in demos. Custom LLM fine-tuning, RAG search systems, speech-to-text pipelines, and process automation -- built with LangChain, OpenAI APIs, and Llama models. We've already shipped these for real clients.
Our Artificial Intelligence Services
We create solutions that are fast, secure, and built to scale with your business needs.
Custom LLM Development
Off-the-shelf ChatGPT is a starting point -- not a finished product. We fine-tune models on your data so they understand your industry jargon, compliance rules, and edge cases. The result is an LLM that gives useful answers, not generic ones.
RAG Systems & AI Integration
Retrieval-Augmented Generation connects your LLM to your actual documents, databases, and knowledge bases. We build RAG pipelines with LangChain that let your team ask questions and get answers grounded in your own data -- not hallucinations.
Conversational AI & Chatbots
Customer support bots that actually resolve issues, internal assistants that pull data from multiple systems, and sales chatbots that qualify leads. We build these with context windows, memory, and fallback to human agents when the AI hits its limits.
Workflow Automation
Document classification, invoice processing, email triage, report generation -- repetitive tasks that eat up your team's time. We automate them with a mix of rule-based logic and AI, depending on what actually makes sense for each step.
Our Technology Stack
AI Models
Frameworks
Infrastructure
Why Choose Sygnoos for Artificial Intelligence?
Production Experience, Not Just Experiments
We've shipped a speech-to-text + LLM recommendation engine that processes real user input in under 3 seconds. That's the kind of AI work we do -- systems that run 24/7, not Jupyter notebooks.
We'll Tell You When AI Is Overkill
Here's the thing: sometimes a regex or a database query does the job better than an LLM. We won't sell you AI for the sake of it. If a simpler approach works, we'll say so.
Data Privacy by Default
We can deploy models on your own infrastructure so sensitive data never leaves your network. Private LLM instances, on-premise RAG systems, encrypted vector stores -- your data stays yours.
Monitoring After Launch
AI models drift over time. We set up monitoring for output quality, latency, and cost so you catch problems before your users do.
Our Development Process
Problem Definition & Data Audit
What are you actually trying to automate? We look at your data and figure out where AI adds real value vs. where simple rules would work just fine. Not every problem needs a neural network.
Proof of Concept
We build a working PoC in 2-4 weeks. It's the cheapest way to find out if the approach works before committing to a full build. If the PoC fails, we pivot early.
Model Training & Integration
Fine-tuning, prompt engineering, RAG pipeline setup, and integration with your existing systems. We use OpenAI, Llama, or open-source models depending on your data privacy and cost requirements.
Testing & Production Deployment
We test for accuracy, edge cases, and hallucinations. Then we deploy with monitoring so you know when the model confidence drops or outputs drift.
Frequently Asked Questions
Ready to Start Your Artificial Intelligence Project?
Contact us to discuss your requirements and receive a detailed project proposal.
Request Consultation