AI Solutions
Agentic AI and generative AI that do real work inside your business, safely and at scale.
NebelTech designs and builds production AI solutions: agentic AI, generative AI and LLM applications, RAG knowledge assistants, AI copilots, intelligent document processing, computer vision and predictive analytics, integrated into the systems you already run, with evaluation, guardrails and LLMOps built in.
Fig. 01 · AI Solutions
We design, build and run production AI: autonomous AI agents that plan and use your tools, generative AI and LLM applications, retrieval augmented generation (RAG) over your own data, AI copilots and conversational assistants, intelligent document processing, computer vision, speech AI and predictive machine learning. Every system ships with guardrails, evaluation and monitoring, so it stays accurate, secure and cost efficient in production.
Covers · Agentic AI, generative AI, RAG, AI copilots and intelligent automation
Sound familiar?
- 01
Teams buried in manual work
Reading, sorting, keying in and chasing information eats hours. AI agents and intelligent automation take over the repetitive steps and hand people the decisions.
- 02
Knowledge locked in documents and systems
Answers sit in PDFs, emails, tickets and databases. RAG assistants and AI copilots find them in seconds and show the source of every answer.
- 03
AI pilots that never reach production
A demo is easy; a reliable system is not. We take AI from proof of concept to production with guardrails, evaluation, cost control and monitoring.
What’s included.
- 01Agentic AI & AI agentsAutonomous agents that plan, call tools and APIs, and complete multi step workflows across your systems, with human approval where it matters.
- 02Generative AI & LLM applicationsCustom applications on large language models: drafting, summarising, classifying, extracting and reasoning over your business data.
- 03RAG & enterprise knowledge assistantsRetrieval augmented generation over your documents and databases with vector search, so answers are grounded in your own content and cite their sources.
- 04AI copilots & conversational AIChat and voice assistants inside your product or website that answer questions, guide users and capture leads around the clock.
- 05Intelligent document processingOCR, document AI and LLMs that turn invoices, contracts, forms and scans into structured, verified data.
- 06Computer vision & speech AIImage and face verification, transcription, translation and text to speech built into real workflows.
- 07Predictive analytics & machine learningForecasting, scoring, anomaly detection and recommendations from your historical data.
- 08AI strategy, evaluation & LLMOpsUse case discovery, proof of concept, model selection, evaluation, guardrails, cost control and monitoring once it is live.
Where we’ve used it.
Technologies & tools
- LLMs (OpenAI, Claude, Gemini, open models)
- AI agents & tool calling
- RAG & vector search
- LangChain
- Embeddings
- OCR & document AI
- Computer vision
- Speech AI
- Python
- Java & Spring Boot
- .NET
Industries we apply it in
How we deliver it.
- 01
Discover
We dig into your business, users and systems to understand the real problem behind the request.
- Business analysis
- Technical audit
- Scope & roadmap
- 02
Design
We map journeys and architecture, then prototype the experience so you can see it before we build it.
- UX flows & prototypes
- Solution architecture
- Delivery plan
- 03
Build
Agile sprints with regular demos. Engineering and QA work side by side so quality is built in.
- Sprint demos
- Automated testing
- Transparent reporting
- 04
Launch & evolve
We release with confidence, then monitor, support and keep improving the product with you.
- Go live & migration
- Support & maintenance
- Continuous improvement
Common questions.
What AI solutions do you build?
Agentic AI and AI agents, generative AI and LLM applications, RAG knowledge assistants, AI copilots and chatbots, intelligent document processing, computer vision, speech AI and predictive analytics, integrated into your existing software.
Do you have AI in production today?
Yes. We rebuilt the AI document intake and case summaries of PerfectLien, a construction lien SaaS whose AI agent proposes case updates a person approves. Our engineers work on QuikData, an eDiscovery platform with AI summaries and personal data screening. The assistant on this website is our own build too: retrieval over our content, tool calling for enquiries and automatic failover across API keys.
What is agentic AI?
AI that does more than answer: it plans the steps of a task, calls tools and APIs, checks the results and completes the workflow. We build agents that work inside your systems and ask a person to approve anything important.
What is RAG and why does it matter?
Retrieval augmented generation lets a language model answer from your own documents and data instead of guessing. It keeps answers current and accurate, and lets every answer show its source.
How do you keep AI accurate and safe?
We ground answers in your data, verify quotes against the source, keep calculations such as deadlines and amounts in code, add human approval for important actions, and evaluate and monitor every model in production.
Which AI models do you work with?
OpenAI, Anthropic Claude, Google Gemini and open models, through their APIs or self hosted. We choose per use case on quality, speed, cost and data privacy.
What does AI cost to run?
It depends on the use case and volume. On one document intake project we measured about $0.0064 per three page document, and the model is skipped entirely when rules already find every field.
Ready to start with AI Solutions?
We’ll come back within one business day with how it could work, who would build it and what it would take.