Agentic Engineering, made Private.
A suite of tools and workflows in one place, orchestrated by AI agents. From plant simulation to CRM, powered by private AI on your infrastructure.
Scroll to see Dedalo in actionThe Dedalo suite
Your tools. Your workflows. One place.
Simulate the plant. Move the deal forward. Prepare the next offer. Your team and its AI agents work with the same tools, knowledge and context.
01 / Digital Twin / Plant simulator
Test the decision. Before you change the plant.
Where is the bottleneck? Do you need another machine, a larger buffer or a different shift? Build the production model, compare scenarios and see the trade-offs before committing time and capital.
Explore Digital Twin
Find capacity you already have
See where work waits and which station limits output before buying more equipment.
Compare changes without disruption
Evaluate staffing, buffers and layouts in the model before trialing a change on the line.
Make the investment case visible
Bring throughput, utilization and cost comparisons into the same decision.
02 / Dedalo CRM / Sales operations
More time with customers. Less time updating the CRM.
Let agents research prospects, keep customer records current and organize the next action. Your team stays focused on the conversation and the opportunity.
Explore Dedalo CRM
Update the customer record from these notes and prepare the next follow-up.
Read the conversation context
Update contacts and activities
Prepare the next action
Keep your team out of data entry
Turn conversation notes into contact updates, logged activities and follow-ups.
Know where to focus next
Use shared customer context, scoring and activity history to prioritize opportunities.
Get from opportunity to offer
Combine CRM context and company knowledge to prepare a proposal for review.
Independent research / Stanford AI Index 2026
The productivity opportunity, in numbers.
Studies of AI-assisted work show measurable gains in specific tasks. The opportunity starts with choosing the right process.
+14–15%
More issues resolved per hour
Customer support agents using a conversational AI assistant.
Brynjolfsson et al. (2025)+26%
More completed pull requests
Software developers using GitHub Copilot.
Cui et al. (2025)+50%
More output per worker
Marketing teams using multimodal AI for ad creation.
Ju & Aral (2025)Results from external studies, not Dedalo customer results or forecasts. We start with a pilot project on your use case and measure performance together: time, cost and quality of results.
Stanford AI Index 2026 · pp. 219–22003 / Agentic workflows
The work between your tools. Connected.
Agents work with Dedalo Studio tools and can connect to the tools your company already uses. Give them your methods, documents and review criteria: reusable workflows turn repetitive work into deliverables your team can check.
Explore all workflows
Read the customer request
Assess feasibility and effort
Prepare the proposal
A structured technical offer, ready for your team’s review.
One suite. Your infrastructure.
Agents do the work. You keep control.
Tools, workflows and company knowledge live together in Dedalo Studio. Agents coordinate the work using your methods. Private AI runs on your infrastructure, keeping sensitive knowledge inside your network.
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