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AI Development Services

Vibidsoft helps businesses put AI to work in real products and workflows: assistants that answer from your own documents, agents that automate repetitive tasks, AI features inside your web or mobile app, and AI-powered learning in Moodle™ and custom LMS platforms.

We focus on practical, measurable use cases, and we build with privacy, cost control and human review in mind so AI is safe to use with customers and staff.

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  • 12+years building software
  • 350+projects delivered
  • OpenAI · Claude · Gemini · open sourceAI models we integrate

AI solutions we build

AI chatbots and assistants

Customer-support and internal assistants that answer from your knowledge base, website, PDFs and policies, and hand over to a person when needed.

RAG on your business data

Retrieval-augmented generation over documents, databases and ticket history, with citations and access control.

AI agents and workflow automation

Agents that triage emails, extract data from invoices and forms, update CRMs and run multi-step tasks with approval steps.

AI in eLearning

AI tutors, quiz and content generation, adaptive learning paths and at-risk learner prediction in Moodle™ and custom LMSs.

AI features in existing apps

Smart search, summarisation, recommendations, classification and document processing added to your current product.

Machine learning and analytics

Forecasting, scoring and anomaly-detection models built on your data and served through APIs.

How we deliver AI projects

  1. Use-case workshop: we identify where AI saves time or creates revenue and define how success is measured.
  2. Proof of concept (2–4 weeks): a working prototype on your real data, tested by your team.
  3. Production build: secure integration with your systems, prompt and retrieval tuning, evaluation tests and monitoring.
  4. Operate and improve: cost and quality dashboards, model updates and new use cases.

Responsible and secure AI

  • Data privacy: enterprise API options that do not train on your data, regional hosting and self-hosted open-source models when required.
  • Accuracy: grounded answers with sources, automated evaluation sets and human review for sensitive actions.
  • Cost control: the right model for each task, caching and usage limits.
  • Security: role-based access, prompt-injection safeguards and audit logs.

Technology we use

Models: OpenAI GPT, Anthropic Claude, Google Gemini, Llama and Mistral. Frameworks and tools: LangChain, LlamaIndex, vector databases (pgvector, Pinecone, Qdrant, OpenSearch), and Python, Node.js and PHP/Laravel back ends. Hosting: AWS, Azure, Google Cloud or your own servers.

Frequently asked questions

How much does an AI project cost?
Most clients start with a 2–4 week proof of concept on their own data, which keeps the first investment small. Production builds are quoted after the proof of concept, when the scope and ongoing model costs are clear.
Is our data safe when using AI?
Yes, when it is set up properly. We use enterprise API terms that exclude training on your data, restrict access by user role, and can host open-source models in your own cloud for sensitive data.
Can you add AI to our existing software or LMS?
Yes. We add AI features to existing web apps, mobile apps, CRMs and LMS platforms such as Moodle™ through APIs, without rebuilding the whole system.
Which AI model should we use?
It depends on the task, accuracy needs, data sensitivity and budget. We test several models on your real examples during the proof of concept and recommend the best fit.
How do you stop AI from giving wrong answers?
We ground answers in your approved content, show sources, test against evaluation questions before each release and route uncertain or sensitive cases to a person.

Related services

Have an AI idea or a process to automate?

Tell us what you want to achieve. We will suggest a practical first use case and a proof-of-concept plan.

Tell us about your project
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