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AI Platform

We open up your organisation's knowledge to AI without your data ever leaving the premises.

Knowledge assistants that work in Turkish on your corporate documents and databases, and AI agents that automate workflows, built on a KVKK-compliant architecture that runs even in air-gapped environments.

Who is it for?

If any of these statements sound familiar, you are in the right place.

You want to use AI, but public services are off-limits because of data privacy.
Corporate knowledge is scattered across thousands of documents, and what you need cannot be found.
Pilots stay in the slide deck and never reach production.
Scope of services

What do we do in AI Platform?

RAG-based knowledge assistant

Question answering in natural Turkish over your corporate documents and databases.

Agentic AI workflows

Tool-using AI agents that automate reporting and operational processes.

Air-gapped / on-premises

A fully in-house deployment that works even in environments with no internet access.

KVKK-Compliant

Data never leaves your organisation; compliance with personal data protection legislation is ensured.

Conversational AI

Multilingual chatbot, voice assistant and call centre automation with The MAMA AI.

Rapid PoC

A working pilot within weeks, built on a use case specific to your organisation.

Solution details

Our AI Platform solutions

You can find the detailed scope, method and measurable commitment of each topic on its own page.

Use cases

We start with a measurable business problem

Most AI projects fail not because of inadequate technology but because of unclear scope. We start with a single business problem, show the result in numbers, and then expand.

Corporate document assistant (RAG)

An assistant that answers questions on procedures, contracts and technical documents, citing its sources. Metrics: time to access information, service desk ticket volume.

Agents in process automation

Agents that carry out tasks such as request classification, data validation and report compilation end to end, with defined steps requiring human approval. Metrics: time per transaction, error rate.

Models on your own infrastructure

Running open-weight models on your own servers where data cannot leave the organisation. Metrics: cost per request, latency.

Predictive analytics

Demand, inventory, failure and capacity forecasting.

Image and audio processing

Quality control, image analysis, call recording summarisation and speech-to-text.

System integration

Connecting to ERP, CRM and service desk systems while preserving data integrity.

Measurable commitment

Every AI project starts with a two-week proof of concept (PoC). If the benefit measured at the end of the PoC does not exceed the threshold, we do not recommend expanding the project.

How we work

Every step ends with a measurable output and a decision point.

Corporate content.

Documents, databases and applications.

Vector database.

Embedding and semantic search layer.

LLM service.

In-house model serving with vLLM or SambaNova.

AI assistant.

Chat, reporting and workflows.

Technologies and tools

Platforms we work with

RAG / LLMSambaNovaGoogle CloudvLLMGoogle GeminiVertex AIMeta LlamaMistral AIOpenAIPyTorch
Quick start

Packages to get started in this area

All packages →
CREATE VALUE4 weeks

Enterprise AI Pilot

A Turkish-language knowledge assistant that works on your own documents.

Deliverable: A working pilot and usage metrics
Next step

A no-commitment start in three steps.

01

Discovery call

We spend 45 minutes understanding your environment and priorities. Free of charge.

02

Free initial assessment

After the meeting, a one-page note with initial findings and recommendations; the findings are yours to keep. A full health check and risk report are part of our accelerator packages.

03

Package or service

Start with an accelerator package or go straight to managed services.