FOR YOUR IT TEAM

How Mikis works with your data.

We tailor search, language models and additional services to your task. The model and supporting services must all fit within the agreed security boundary.

SECURE. CLEAR. PRACTICAL.

From your question to a result you can check.

01 / 03 · REQUEST

Start with the right information.

Ask your question and select the approved documents or a knowledge store. The workflow uses the content intended for your task.

Access permissions and sources are configured in advance.

02 / 03 · PROCESSING

Search and the language model work together.

Search retrieves relevant passages. The language model processes your request with this context. Text recognition and other supporting services are also part of the agreed data flow.

A database module can be added for structured calculations.

03 / 03 · REVIEW

Check the sources. Assess the result.

Your team checks statements, sources and the data used. We test typical tasks and access boundaries together before approving the workspace for use.

Even with sources, AI can miss or misinterpret information.

Keyword search, semantic search and calculations

Search your documents. Mikis combines matching terms with semantic similarity. An additional step can rank source passages by relevance.

Calculate spreadsheet figures transparently. We can configure an additional database for structured data, allowing specific values to be selected and calculated.

We test the setup against typical questions from your work. Data and integrations in detail.

Models for different tasks

We select language models and supporting services for your tasks. Your agreed setup determines which functions and models your team can use.

Text and analysis

Answer questions, draft text and organise information.

Understand images

Include image content when using a model that supports it.

Read documents

Extract text from suitable documents and scans for further processing.

Search your knowledge

Prepare semantic search and rank relevant sources.

Work with speech

Transcribe audio or read text aloud when these services are configured.

Model overview · As of 26 October 2026

This overview records the position as of 26 October 2026. We confirm which models are available and suitable for your installation during setup.

ModelPurposeProvider status
gpt-oss-120bText, analysis, toolsLTS
Qwen3.5-0.8BSmall text tasksStable
Ministral-3-14B-Instruct-2512Chat and image understandingLTS
Qwen3.5-122B-A10B-FP8Text and imagesStable; deactivated from 28 December 2026
Qwen3.6-35B-A3B-FP8Long text and image tasksStable
Qwen3.8-27B-NVFP4Code and tool workflowsStable
GLM-OCRExtract text from documents and scansStable
Qwen3-Embedding-8BPrepare semantic searchLTS
Qwen3-VL-Reranker-2BReorder search resultsStable
whisper-large-v3-turboConvert audio to textLTS
cohere-transcribe-03-2026Transcripts with speakers and timestampsTesting phase
Qwen3-TTS-12Hz-1.7B-CustomVoiceRead text aloudStable

The model name and processing location are different things.

A model can run in your infrastructure even if it was developed by another company. What matters is the service that actually operates it. A compatible API format does not, by itself, mean data is sent to the model developer.

Open-weight models have available model weights under their respective licences. This says nothing about the developer’s country of origin or whether the entire software is open source.

LET'S GET SPECIFIC

Discuss your task and the right deployment.

Let's discuss your documents, security requirements and the right technical setup.