RND-PRO.com
We solve complex tasks for the agentic era.
Our work lives where AI, software, physical systems and human expertise meet. We do more than develop an application for today: we create the frameworks, interfaces and operating models that can become a foundation for what humans and agents build next.
The result is a working solution now and a system ready to evolve across teams, tools and subject areas.
Beyond AI-enabled development
Adding AI to an existing product is only the beginning. The deeper opportunity is to redesign how a task is understood, divided, executed and improved when people, agents and technical environments can all participate.
We find the right balance between human judgment, machine speed and real-world constraints. Then we turn it into practical architecture: clear context, reliable tools, safe actions and interfaces that adapt to the work.
This is not innovation theatre. We build systems that solve real problems and remain useful as models, protocols and workflows change.
What we create
Agent-ready foundations
We design the infrastructure that lets agents work with real systems, domain knowledge and one another, not just generate isolated answers.
- MCP and WebMCP servers, tools and integrations
- Knowledge and context servers for teams and agents
- Secure agent pools, permissions and action boundaries
- Harness engineering for reliable, observable agent work
- Subject-area-specific agent loops and multi-agent pipelines
- Agentic edge platforms that connect cloud intelligence to local systems
Agent-Driven UI
We explore interaction models in which the interface is not a fixed set of screens. It becomes an active layer between intent, context and available capabilities.
- On-demand interfaces generated for the task at hand
- Agent-assisted dashboards, editors and workflow composers
- Conversational interfaces combined with precise visual controls
- WebMCP-enabled applications whose state and actions are available to both people and agents
- XR workspaces and spatial dashboards that move beyond the boundaries of a physical screen
Knowledge that humans and agents can share
We create structured, portable ways to describe knowledge and work. Our Markdown-based frameworks and extension concepts are designed to stay readable to people while giving agents the context and structure they need to act.
- Human-readable, machine-actionable documents
- Domain vocabularies, schemas and reusable context packages
- Workflows that connect requirements, decisions, tools and results
- Durable project memory that can evolve with the system
XR, IoT and hardware
Agentic systems become much more valuable when they can understand and affect the physical world. We combine software with spatial interfaces, edge computing, sensors, automation and custom hardware.
- WebXR, 3D and immersive operational interfaces
- IoT platforms and real-time device integration
- Single-board computers, sensors, drives and robotics
- Computer vision and data acquisition systems
- Hardware prototyping, fabrication and small-scale production
- Cloud-to-edge architectures for monitoring and control
Modern Enterprise Asset Management
We build EAM solutions that connect asset data, documentation, telemetry, workflows and human expertise. With agent-ready access to that operational context, maintenance and asset decisions can become faster, more consistent and easier to improve.
- Unified views of physical assets and their digital context
- Inspection, maintenance and field-service workflows
- IoT telemetry, events and real-time operational data
- Agent-assisted diagnostics, knowledge access and decision support
- Interfaces for office, field, mobile and XR environments
How we approach a task
Start with the real constraint
We work from the task, not from a fashionable technology. We study the subject area, operating environment, users, risks and existing systems before choosing the right combination of AI, software and hardware.
Build the smallest complete system
We move quickly from research to a working end-to-end solution. That can include an interface, an agent harness, domain knowledge, integrations, edge software or a hardware prototype —- whatever the task actually requires.
Turn the solution into a reusable foundation
We capture what was learned in frameworks, protocols, components and structured knowledge. The next team or the next agent starts from a stronger base instead of starting over.
Where we are most useful
- A high-value task crosses software, AI, operations and the physical world
- A conventional application cannot adapt to the number of roles, contexts or workflows involved
- AI experiments need to become secure, observable production systems
- Valuable domain knowledge is fragmented across people, documents and tools
- XR, IoT, robotics or hardware must work as one coherent product
- An EAM or industrial system needs an agent-ready architecture instead of another isolated dashboard
We can research an unfamiliar problem, define the system, build the software and hardware, integrate it into the environment and help your team operate it.
Distributed R&D team
Our team spans the globe, from Argentina to Kazakhstan. We combine perspectives from software architecture, product design, AI systems, industrial automation, electronics and fabrication and collaborate across time zones with teams wherever they are.