Custom AI Solutions for Business
General-purpose tools like ChatGPT are powerful, but they don't know your company's data, don't connect to your systems, and don't follow your business rules. At Octopus Software we combine large language models (LLMs) with your data and software infrastructure to build AI applications that solve real business problems.
Want proof? See our AI-Powered Social Media Content Platform case study — AI-generated visuals and captions tailored to every platform.
What We Build
RAG-Based Enterprise Knowledge Assistants
AI assistants that answer accurately from your documents, contracts, product catalogs and internal knowledge. Retrieval-Augmented Generation (RAG) grounds every answer in your own data, minimizing hallucination risk.
AI Agent Development
Autonomous agents that go beyond answering questions — creating orders, preparing reports, sending emails and executing actions in your ERP or CRM.
LLM Integration
We add AI capabilities to your existing website, mobile app or internal software: smart search, summarization, content generation, customer-support chatbots and document processing (OCR + LLM).
AI-Powered Process Automation
Invoice processing, document classification, ticket routing — we automate repetitive work so your team can focus on what matters.
How We Work
- Discovery & technical analysis (free): We identify where AI genuinely adds value. Not every problem needs AI — if yours doesn't, we'll say so.
- Prototype: A small working prototype validates the approach on your own data.
- Development & integration: We build a production-grade application on our Python/Django stack and connect it to your systems.
- Monitoring & improvement: After launch we measure answer quality and continuously improve the system.
Why Octopus Software?
- An engineering team that builds AI together with ERP, CRM and web software — your AI solution becomes part of your system, not an isolated demo.
- Hands-on experience with Python, Django and the modern LLM toolchain: RAG, vector databases, agent architectures.
- Istanbul-based team trusted by 100+ businesses, with privacy-compliant architecture design.
Frequently Asked Questions
Is our data safe?
Yes. We design the architecture around your requirements: data can stay on your own servers, we can use enterprise APIs with zero data retention, or fully on-premise open-source models.
How long does an AI project take?
A working prototype typically takes 2–4 weeks; a production-ready system 2–4 months. You get a clear timeline after the technical analysis.
What does it cost?
It depends on scope. After a free technical analysis you receive a fixed-price proposal with a clearly defined scope.