Work

Apeiron AI — Enterprise AI Assistant

A private, retrieval-augmented AI copilot that lets teams query their own documents, workflows and knowledge with the fluency of ChatGPT — hosted on infrastructure they control.

Apeiron AI — Enterprise AI Assistant

A private, retrieval-augmented AI copilot that lets teams query their own documents, workflows and knowledge with the fluency of ChatGPT — hosted on infrastructure they control.

At a glance

  • Category: Enterprise AI
  • Technology stack: Python, LangChain, OpenAI, Postgres pgvector, React, FastAPI, Docker
  • Visit the product: https://ai.apeiron-tech.com/

Apeiron AI — Enterprise AI Assistant Artistic vision of the product

The brief

Large service organisations wanted the productivity gains of generative AI, but could not send confidential contracts, HR files and product roadmaps into a public model. They asked for an assistant that behaves like ChatGPT while keeping every token inside their own boundary.

Retrieval-augmented architecture

We built a hybrid pipeline that indexes documents into a vector store, retrieves the most relevant passages at query time and feeds them to a language model as grounded context. Answers cite their sources; hallucinations are dramatically reduced; access rights follow the user.

A workspace, not a chatbox

Apeiron AI is organised into projects. Each project has its own corpus, prompt library, connectors and permissions. Analysts create research workspaces; sales teams draft proposals; support agents summarise tickets — all inside the same product with a consistent UX.

Apeiron AI — Enterprise AI Assistant Product aesthetic carried through to the interface

Deployment

We package the platform as a Docker stack that runs on-premise, in a private VPC or on our managed cloud. Customers plug in their own model provider — OpenAI, Anthropic, Mistral, Azure OpenAI or a self-hosted Llama — through a single adapter layer.

Results

Legal teams cut contract review time by 60%. Support desks resolve tier-1 tickets in under two minutes. Onboarding for new hires went from three weeks of reading to guided conversations with the company's own knowledge base.

Closing note

This project reflects our approach: start from a concrete business problem, pick a proven technical foundation, and ship a product that teams actually use every day. Want to talk about yours?

In the wider Apeiron portfolio

Perhaps the clearest signal of where Apeiron is investing its own R&D is Apeiron AI, a generative AI platform the company built and now offers as a product in its own right. It provides chatbot access to leading large language models for accurate, relevant answers, AI-powered image generation, document analysis and summarization, and AI video and audio creation — all designed to be usable without technical skills, alongside real-time search for pulling current information straight into a workflow. For prospective clients, it's a useful data point: this is a team that builds and operates its own AI products, not just one that wires up someone else's API.


Part of Apeiron Technologies' portfolio

Seven years. Three countries. 100+ projects. One highway for digitalization.

When Apeiron Technologies describes its mission, it doesn't stop at "we build software." The company talks about partnership — understanding how a business actually runs, then building something that fits into that reality rather than asking the business to adapt around a piece of software. Seven years and more than 100 delivered projects later, across manufacturing, retail, automotive, tourism, healthcare, real estate, hospitality, and construction, that philosophy shows up clearly in the work itself.

Behind the portfolio is a team of 25 specialized engineers spanning web, mobile, backend, cloud, AI, and UI/UX, working out of operational subsidiaries in Tunisia, Libya, and France, and organized into agile squads — product owner, tech lead, developers, QA — with the capacity to scale quickly as a project demands.

The process behind every delivery

None of this happens without a consistent way of working. Apeiron's agile squads run iterative sprints — planning and design, development, testing, deployment, review — with client feedback built into every cycle instead of saved for a single big reveal at the end. Quality and security are treated as design-phase concerns rather than afterthoughts, with testing, CI/CD, and code review embedded throughout.

The throughline

Look across the portfolio — a retail loyalty app, a pharmacy gamification tool, a hotel booking platform, a construction management suite, an in-house AI product — and what stands out isn't a single technology or industry focus. It's a repeatable way of working: understand the operational reality of a specific business, then build something that fits into it. That's the idea behind "Your Highway for Digitalization," and it's the thread connecting every project in this portfolio.

Let's build what's next

Apeiron Technologies works with businesses at every stage of digital transformation, from early-stage MVPs to enterprise-wide ERP rollouts.