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AI development

Practical AI that saves your team time

Deshbyte builds AI assistants, LLM integrations and automation that fit into the way your business already works. We focus on problems where AI saves measurable time or money, and we ground every system in your own data so its answers can be checked.

What we build

What's included

AI Engineering

Practical AI that fits into the way your team already works and pays for itself in saved time.

Discuss your project

AI Assistants & LLM Integration

Chatbots and copilots built on large language models and grounded in your own data.

LLM integrationsRAGPython

Workflow Automation

Smart tools that take repetitive work off your team and cut operating cost.

AutomationIntegrationsAPIs

Document & Data Intelligence

Extract, classify and summarise data from invoices, forms and reports automatically.

OCRClassificationAnalytics

Where AI helps most

The best first AI project is usually a repetitive task your team already does by hand: answering the same customer questions, reading documents and typing their contents into another system, or moving data between tools.

  • Customer support and sales chatbots that answer from your own content
  • Internal assistants that search policies, documents and knowledge bases
  • Invoice, form and receipt processing with OCR and data extraction
  • Workflow automation between your CRM, email, spreadsheets and other tools
  • Classification, summaries and reports on large volumes of text
  • AI features inside your existing web or mobile product

How we make AI reliable

Language models are powerful, but they can be confidently wrong. We use retrieval-augmented generation (RAG), so answers are drawn from your approved sources, and we add guardrails, human review steps and logging wherever a mistake would be costly.

We start with a small pilot on real data, measure how well it performs, and only then roll it out. We work with models from OpenAI, Anthropic and Google, and with open-source models you can host yourself when data must stay in-house.

Automation without the hype

Not every problem needs a language model. Many workflows are best solved with plain automation: a trigger, a few rules and an integration. We connect your systems with tools like n8n and custom code, and add AI only to the steps that genuinely need judgment.

Tech stack

Technologies we use

  • Python
  • OpenAI
  • Claude
  • Google Gemini
  • LangChain
  • RAG
  • AI agents
  • Vector search
  • Hugging Face
  • Ollama
  • PyTorch
  • scikit-learn
  • pandas
  • FastAPI
  • n8n
  • Workflow automation
How we work

From idea to launch, simply

Five clear stages, each with something you can see and approve.

1

Requirement Analysis

We study your goals, users and market, then agree on a clear scope.

Project brief
2

Design

Prototypes you can click and approve before coding.

Clickable prototype
3

Development

Agile sprints with weekly demos and full transparency.

Weekly demos
4

Quality Assurance

Thorough testing across devices so every feature works as agreed.

Test report
5

Final Delivery

Launch, training and long-term care and support.

Live launch
FAQ

Questions, answered

Short, honest answers. If yours is not here, just ask us directly.

Get in touch

Is our data safe if we use AI?

We design for it. We choose model providers and settings that do not train on your data, send a model only the information a task needs, and can run open-source models on your own infrastructure when data must not leave it.

Can you build a chatbot that answers from our own documents?

Yes. That is retrieval-augmented generation: your documents are indexed, and the assistant answers from the relevant passages, with links back to the source so every answer can be verified.

Which AI model do you use?

The one that fits the task, the budget and your data rules. We compare models from OpenAI, Anthropic and Google, and open-source options, on your real examples before choosing.

How do we start an AI project?

With a short conversation about the task you want to automate. We usually propose a small pilot first, so you see results on your own data before committing to a larger build.

Have a project in mind?

Tell us what you are building. We reply within 24 hours with a free consultation.