Artificial Intelligence
AI & Generative LLM Solutions
Custom AI agents, Gemini LLM integrations, document intelligence, and automated machine learning workflows.
Who it's for
Operations, product, and engineering leaders at mid-market and growth companies in the US, UK, UAE, and KSA who need production LLM features—RAG, agents, or document intelligence—with measurable accuracy and cost budgets, not proof-of-concept slides.
We put LLMs into real workflows with retrieval, guardrails, evaluation, and cost controls—not demos. From RAG knowledge bases to agent tool-calling for support and ops teams in the US, UK, UAE, and Saudi Arabia, we design for accuracy, auditability, production latency, and human review on high-risk actions before anything hits customers.
What you get
- Custom LLM fine-tuning & RAG vector search pipelines
- Smart customer support & automated sales agents
- Computer vision & automated document extraction
- Predictive analytics & intelligent forecasting engines
When to invest in LLM solutions
Hire AI engineering when a recurring workflow has clear documents, tickets, or structured data and humans are the bottleneck—not when you only want a chatbot on a homepage. Strong fits include support deflection with citations, sales research agents with tool access, invoice or KYC document extraction, and forecasting that plugs into existing APIs. We score use cases for risk and data readiness before writing production code.
How production LLM delivery works
Work begins with use-case scoring and risk assessment, then data readiness and retrieval design. We prototype, evaluate against labeled examples, and harden for production with monitoring and feedback loops. Token cost and latency budgets are defined upfront. High-risk actions stay behind human-in-the-loop review. Engagements include the same 90-day bug warranty, 2-hour response SLA, and 100% IP transfer on custom pipelines and application code we build for you.
Models, stack, and regional constraints
Typical stack: Gemini, Python, LangChain, vector stores such as Pinecone, and FastAPI services behind your existing auth. Data residency and PII rules differ across US, UK GDPR, UAE, and KSA deployments—we design retrieval and logging so sensitive corpora do not leak into prompts or third-party training by default. Computer vision and document extraction sit beside LLM agents when the workflow needs both OCR and language understanding.
What “done” looks like commercially
Done means grounded answers with source citations where applicable, dashboards for cost and latency, and evaluation harnesses your team can rerun after content changes. VyrroTech FZE is UAE-registered (founded 2022 by Maria Nazir) with a UAE–Pakistan distributed delivery model. Highlight outcome we optimize for: roughly 3.5x faster workflow automation on scoped processes once retrieval quality and guardrails are production-grade—not vanity demo latency.
Our approach
How a ai & generative llm solutions engagement runs
01
Use-case scoring and risk assessment
02
Data readiness and retrieval design
03
Prototype, evaluate, then harden for production
04
Monitoring, feedback loops, and iteration
Outcomes
- Grounded answers with source citations
- Token cost and latency budgets defined upfront
- Human-in-the-loop review for high-risk actions
Stack & tools
- Gemini 3.6
- Python
- LangChain
- Pinecone
- TensorFlow
- FastAPI
Related work
MenuQR — Restaurant QR Menu SaaS
Multi-language digital QR menu platform with instant WhatsApp ordering & Stripe billing
Read the case study
Industries
Where this service shows up
FAQ
AI & Generative LLM Solutions — frequently asked questions
- Do you ship demos or production AI?
- Production only: RAG with citations, evaluation harnesses, token/latency budgets, and human-in-the-loop for high-risk actions.
- Which models do you integrate?
- We integrate Gemini and other commercial LLMs based on cost, latency, and data residency—always behind your retrieval and guardrail layer.
Next step
Tell us what you need to ship.
2-hour response on business days. Book a discovery call or send a brief to ceo@vyrrotech.com.