GENERATIVE AI · LLMs · RAG · CUSTOM AI APPS

Build AI That Thinks, Retrieves
& Generates.

From GPT-4 powered applications to custom RAG systems and production AI deployments — DotStark engineers Generative AI solutions that go beyond demos and actually reach production.

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Microsoft Partner Azure OpenAI Certified Production AI Delivery
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LLM Projects Built
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Countries Served
GPT-4o
Latest Models
RAG + Agents
Production Ready
WHAT WE BUILD

Generative AI — From Prototype to Production

We build the full stack — model selection, RAG architecture, API integration, and frontend — then hand over systems your team can actually run.

Custom LLM Applications

GPT-4o, Claude, Gemini, or open-source models — we build production apps around the right model for your use case.

GPT-4oClaudeAzure OpenAI

RAG Systems

Retrieval-Augmented Generation pipelines that ground AI answers in your private data — zero hallucinations, full source citations.

Vector DBPrivate dataCitations

Document Intelligence

Extract, classify, and reason over PDFs, contracts, reports, and unstructured documents at enterprise scale.

PDF extractionOCRClassification

AI Content Generation

Brand-consistent content pipelines — blog posts, product descriptions, emails — generated at scale with human-in-the-loop review.

Content AIBrand voiceScale

AI-Powered Search

Semantic search that understands intent — replace keyword search with vector-powered retrieval across your content or product catalogue.

SemanticVector searchAzure AI Search

AI API Integration

Connect OpenAI, Azure AI, Anthropic, or Hugging Face models into your existing product stack via clean, maintainable API layers.

REST APIAzureMiddleware
DOTSTARK AI PRODUCTS

Production AI Products. Ready to Deploy.

Beyond custom builds — DotStark offers two production-ready AI products you can deploy into your organisation in days, not months.

RAG 365by DotStark
AVAILABLE NOW
Make Your Knowledge Instantly Queryable

RAG 365 indexes your entire internal knowledge base — PDFs, contracts, SharePoint, Google Drive — and makes it conversationally queryable in real time. Zero hallucinations. Zero public web exposure. Full source citations on every answer.

75%Less search time
0Hallucinations
24/7Knowledge access
Private secure index — your data never leaves your environment
Natural language querying — ask like you'd ask a colleague
Source-cited responses — every answer references exact document and version
Platform agnostic — connects to SharePoint, Google Drive, local drives
BUILT FOR
Legal & Compliance Finance & Banking HR & Operations Professional Services
Book RAG 365 Demo →
ReClass AIby DotStark
AVAILABLE NOW
Turn Lecture Recordings Into Living Knowledge

ReClass AI transforms video lecture recordings into structured, searchable digital knowledge assets — with AI-generated summaries, semantic topic navigation, timestamped topic index, and a 24/7 AI Tutor grounded exclusively in your course content.

3×Faster revision
+40%Retention rate
100%Auto-processed
AI transcription — automatic speech-to-text with speaker differentiation
Topic segmentation — AI identifies and labels distinct subject sections
AI Tutor — conversational tutor grounded only in lecture content
Learning analytics — see which topics generate the most queries
BUILT FOR
Universities & Colleges Corporate Training Online Education Institutional Analytics
Book ReClass AI Demo →

RAG 365 and ReClass AI are built and delivered by DotStark — production-ready AI products for enterprise teams.

THE ENGAGEMENT

From use case to production AI.

A structured engagement that skips the experimentation phase and goes straight to building AI that works.

01Wk 1

Scoping

Define the use case, data sources, and success criteria.

Scope doc
02Wk 1–2

Architecture

Select models, vector DB, RAG vs fine-tune, Azure or on-prem.

Tech spec
03Wk 2–6

Build & Integrate

Full build — RAG pipeline, API layer, frontend, integrations.

Working system
04Wk 6–8

Ship & Handover

Production deployment, team training, monitoring setup.

Live system

Engineering-led. Production-obsessed.

We Ship to Production

We don't stop at demos. Every Generative AI system we build is architected for production — monitoring, fallback handling, cost optimisation, and team handover included.

Microsoft + OpenAI Stack

As a Microsoft Partner, DotStark has direct access to Azure OpenAI Service, Azure AI Search, and Copilot Studio — the enterprise-grade infrastructure that powers reliable AI at scale.

RAG Specialists

RAG is our core Generative AI pattern — we have built 50+ retrieval systems across legal, finance, healthcare, and enterprise knowledge management. We know the edge cases.

FAQS

Questions, answered.

Generative AI encompasses LLMs, RAG systems, and AI content pipelines that create, retrieve, and reason over information. For businesses, the highest-value applications are knowledge retrieval (RAG), document intelligence, customer-facing AI assistants, and content generation at scale. DotStark identifies which pattern fits your data and use case — then builds it.
RAG (Retrieval-Augmented Generation) retrieves relevant content from your private data at query time and passes it to the LLM as context. Fine-tuning trains the model on your data to change its behaviour permanently. RAG is better for most enterprise use cases — it is cheaper, more controllable, and can be updated without retraining. DotStark recommends RAG for the majority of knowledge and document intelligence use cases.
RAG 365 is DotStark's production-ready knowledge retrieval product — it indexes your documents and makes them conversationally queryable with full source citations. ReClass AI transforms lecture and training video recordings into structured, searchable knowledge assets with an AI tutor. Both are available as deployable products, faster than custom builds.
A focused RAG system or document intelligence application typically takes 6–8 weeks from scoping to production. More complex multi-model or multi-source systems may take 10–16 weeks. DotStark's scoping session — free, 30 minutes — gives you a realistic timeline for your specific use case before any commitment.

Ready to ship Generative AI to production?

Book a free 30-minute scoping session. We'll assess your use case, recommend the right architecture, and show you what RAG 365 or a custom build looks like for your data.

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Free scoping session Microsoft Partner RAG specialists
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