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.
PRIVATE, LOCAL AI
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.
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.
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.
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
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 modelIdentify the task, expected outputs and review criteria. Select relevant company documents, examples and approved deliverables to build the training and evaluation datasets.
Fine-tune a suitable base model on your examples, terminology and output requirements, with your target hardware and operating constraints in mind.
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.
% accepted
More outputs that meet your process criteria on first review.
min / output
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
No logging, diagnostics, or model updates leave your corporate network.
Shipped to your desk. You control physical access.
No data transmitted to Dedalo or third parties. Ever. Under any circumstances.
100% on-premise. No API calls. No cloud dependency.
Updates as downloadable packages. You install them on your own schedule.
Adapt pre-built workflows or create new ones. Without asking our permission.
Why Dedalo is not a chatbot
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
What to know before bringing Dedalo Studio into your company.
Talk to our teamDedalo 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.
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.
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.
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.
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
Book a free call and we'll build a demo on one of your real processes.