PRIVATE, LOCAL AI

The power of AI.On your terms.

Predictable costs

Run inference on your own hardware with annual licensing. Flat plans include unlimited AI usage, so teams can build AI into everyday work with a clear budget.

Scale adoption across unlimited users on every plan.

Your knowledge stays yours

Process specifications, designs and company knowledge inside your corporate network. Keep access to sensitive project data under your own control.

Private infrastructure for your data and intellectual property.

Operational independence

Run agents locally and choose when to install updates. Air-gapped deployment supports teams that need to work without an external connection.

Your infrastructure, your operating schedule.

AI shaped around your expertise

Connect company archives and existing tools. Configure agents, reusable skills and specialized pipelines around your methods and review criteria.

Turn company know-how into repeatable, reviewable work.

CUSTOM MODELS & FINE-TUNING

Your data. Your process. Your AI model.

We create custom LLM models for our customers using their own data, optimized for the specific processes they need to support. From technical language to expected outputs, fine-tuning adapts model behaviour to the way your team works.

Knowledge retrieval brings relevant company information into a task. Fine-tuning adapts how the model performs it. We help you choose and combine the approaches that fit your process.

Discuss your custom model
  1. 01

    Define the process and prepare the data

    Identify the task, expected outputs and review criteria. Select relevant company documents, examples and approved deliverables to build the training and evaluation datasets.

  2. 02

    Adapt the model to your workflow

    Fine-tune a suitable base model on your examples, terminology and output requirements, with your target hardware and operating constraints in mind.

  3. 03

    Evaluate before deployment

    Assess the model on representative examples held out from training. Review the results with your team before integrating it into Dedalo Studio on your infrastructure.

Two KPIs to measure the benefit

% accepted

Output acceptance rate

More outputs that meet your process criteria on first review.

min / output

Human review time

Less time spent correcting and refining each deliverable.

We compare the base and fine-tuned models on the same held-out tasks. These are evaluation KPIs, not claimed results; gains depend on your data and process.

Trust & Security

Your data never leaves your network

No logging, diagnostics, or model updates leave your corporate network.

Your hardware

Shipped to your desk. You control physical access.

Zero data leak

No data transmitted to Dedalo or third parties. Ever. Under any circumstances.

Local inference

100% on-premise. No API calls. No cloud dependency.

Secure updates

Updates as downloadable packages. You install them on your own schedule.

Full control

Adapt pre-built workflows or create new ones. Without asking our permission.

Why Dedalo is not a chatbot

Chatbots answer. Dedalo produces deliverables.

A direct comparison with the most popular cloud AI tools.

Chatbots
ChatGPT · Copilot · Gemini
DEDALO
Deployment
Cloud only
100% local, air-gapped
Data sovereignty
Data leaves your premises
Data never leaves your corporate network
Output
Text responses on their servers
Structured deliverables, shared management
Workflow
None or very limited
Multi-agent orchestration with schedulable tasks
Compliance
Enterprise plans only, on request
Facilitated by design — on-premise
Pricing
Per-user subscription + token consumption
Annual license. Unlimited usage on Flat plans.
Governance
ROI not measurable
Measurable ROI, monitored output quality

FAQ

Questions, answered.

What to know before bringing Dedalo Studio into your company.

Talk to our team
Where do our data and models run?

Dedalo Studio runs on your infrastructure, with local inference and company knowledge kept within your corporate network. Deployment can also be scoped for an air-gapped environment. We define access, integrations and operating requirements with your team.

Can you create a model tailored to our process?

Yes. We can create custom models through fine-tuning on your company data and examples, optimized for a specific process. We agree on the target task and evaluation criteria, assess results on separate examples, and review them with your team before deployment. Custom models are included in the scope of the Flat Enterprise offering; the work is defined with your team.

Do we need fine-tuning to use our company knowledge?

No. Connecting and indexing your archives lets agents retrieve relevant information without fine-tuning a model. Fine-tuning is a separate option for adapting model behaviour to a specific task, terminology or output format. We assess which approach fits your needs and the data available.

Can we connect our existing tools and archives?

Yes. Dedalo Studio supports connectors for existing tools, databases and archives, alongside documents, CAD models and other technical formats. During assessment, we identify the systems you use and scope the connectors, permissions and data preparation required.

What is Dedalo Studio?

Dedalo Studio is a private agentic AI workspace. Your team can organize projects and chats, work with specialized agents and reusable skills, connect company knowledge, run pipelines and review the artifacts agents produce.

Talk to us · Free

In 30 minutes we show you Dedalo in action

Book a free call and we'll build a demo on one of your real processes.

Free 30-min call
Demo on your use case
No commitment