Grow and orchestrate professional agents
Experts deliver with their own agents,
organized around the project
Songta helps every expert grow a professional agent of their own, then brings those agents together around shared projects. We start in industrial R&D and production, and grow into a platform for professional-service collaboration.
The shift
AI changes productivity. Productivity reshapes how work is organized.
Foundational skills keep leveling while real expertise stands out even more—work is moving from “organized around roles” to “connected around projects.”
Work organized around job roles
- Roles define the boundaries
- Collaboration moves through handoffs
- Experience stays with individuals
Projects connecting experts and agents
- The project defines the goal
- Experts join with their agents
- Experience becomes reusable capability
Foundational skills keep leveling
AI makes entry-level professional skills broadly accessible, and the cost of execution keeps falling.
Expertise is amplified, not erased
What stays scarce is the judgment to frame problems and evaluate results—and it decides what an agent can learn.
Growth
Grow professional agents first. Then orchestrate them.
Expert experience is the critical input. Songta turns an expert's methods, demonstrations, and feedback into professional agents ready for project work.
Expert experience
Methods, demonstrations, and feedback—experts teach agents how work is done and judged.
RL + Memory
Improve from feedback; distill validated experience into reusable memory and skills.
A professional agent
Clear capability boundaries, ready to collaborate on real projects.
Test-time learning
Skills and memory keep compounding in use: experts deposit experience deliberately, and agents keep learning on their own—capability never freezes at the shipped version.
Collaboration · The CAPE engine
Everyone's agents, working together
CAPE (Collaborative Agent–Professional Execution) is the engine where agents and professionals execute side by side, driven by an engineering project model: engineering objects, task dependencies, professional tools, and acceptance rules.
Shared project state
Engineering objects, dependencies, and progress are visible to every participant.
Dynamic dependency scheduling
Tasks re-plan themselves as dependencies shift, routing work to the right role.
Professional tool execution
Agents run real work through electrical, software, test, and process toolchains.
Result verification
Outputs are checked against the project's acceptance rules before they count.
Collaboration is not a one-shot assignment—it is a loop that keeps converging.
Trusted delivery
Execution traces you can understand, trace, and reproduce
Industrial R&D and production do not accept “close enough.” Every agent delivery stands up to review.
Understandable
Every step is legible to the expert: what was done, with which tool, and why.
Traceable
Any result leads back to the exact tool calls, inputs, and judgments behind it.
Reproducible
Environments, parameters, and process are recorded so the work can run again.
Where we start
Industrial R&D and production
Experts in electrical, software, test, and process engineering form new working relationships around the project—each with their own agents.
Download
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Book a demo and let's talk about how your team can start in industrial R&D and production—and turn expert experience into durable delivery capability.