DBrothers
ITPlan your system

Agentic OS · MCP-native · since 2014

We make your organisation agentic.

We start from thirteen vertical platforms already in production and the primitives they are made of. We compose them into platforms, mobile apps and frameworks built around your work, and expose every module through MCP: from Claude or ChatGPT your team asks questions and executes actions on its own systems.

Plan your system See how it works
  • 01AI auditWe map how your work really runs and where AI pays off.
  • 02AI agentsAgents that ask and act, with permissions and logs.
  • 03Company operating systemsBusiness platforms and micro software, composed from primitives.
  • 04Document & voice agentsIntake, filing and conversations handled end to end.
§ 01Agentic Operating SystemComposed, not installed

At the speed of light, we compose your software and connect it to your agents.

Software or micro software, built from over 100 primitives proven across business functions and many kinds of companies. Our method starts with an audit: we rewrite your processes with AI in mind, then recompose them, integrating your software with agents or with micro software built to solve exactly your problems.

  • Module: ready today
  • Custom module: defined in the audit
  • Agent at work
What agents take over
  • Repetitive daily operations
  • Analysis and reporting
  • Document intake and filing
  • Customer and supplier conversations
§ 02The starting pointSystems everywhere · AI outside

  • 01

    Separate systems

    Each tool holds one piece of the company. None of them holds the whole, and none of them talks to the others.

  • 02

    AI outside the door

    A chatbot demo that cannot read an order or update a record never reaches production. Without access, there is no agent.

  • 03

    Manual handoffs

    People carry information between tools by hand. That is where hours, accuracy and traceability go.

§ 03Agentic Operating SystemComposed · MCP-native · Agentic

An operating system for your company. With a door for AI.

Agents are only as good as the systems they can touch. We build the layer that unites your data, documents and workflows, and open it to AI with permissions, on your infrastructure.

See how it works
  1. 01 Processes

    We start from your processes and your current software.

    How work really flows today, and the tools it runs on: ERP, CRM, spreadsheets, documents, the apps your teams actually use. Nothing is thrown away before we understand it.

  2. 02 Reassemble

    We reassemble them, and you save money.

    In many cases software gets recomposed and cut: tools nobody uses, obsolete ones, systems that don’t talk to each other. What is missing we build from our primitives.

  3. 03 Connect

    Every module joins one company operating system.

    All modules are connected into a single operating system that becomes a tool for AI: typed actions, permissions by role, a log of every call.

  4. 04 Operate

    Agents work on it, even by voice.

    We build the tools that let agents — including the best-known ones like ChatGPT and Claude — interact with your system and carry out every operation, down to voice commands.

Fig. 02: From primitives to operationsAct 1 / 4

  • Runs in your perimeter

    Your cloud or your servers. Data stays where it is; models are called only with the context they need.

  • Permissions and audit by default

    Every tool is typed and scoped by role. Every call is logged. Sensitive actions wait for a person.

  • Model-agnostic

    Claude, ChatGPT, local models or our own agents — the gate is the same, you switch models without touching the system.

§ 04How we workMap → Compose → Expose → Operate

We don’t sell or configure yet another piece of software. We design your operating system, side by side with you.

A short audit inside your company, then a system that grows one workflow at a time. Working software in weeks.

  1. 01

    Map

    We work inside your company: processes, tools, data flows, where hours and accuracy are lost. We find the workflow where the system pays for itself first.

    OutputProcess map · Module plan

  2. 02

    Compose

    We assemble your system from our primitives, configure the modules you need, and build the ones that exist only in your company.

    OutputYour OS, configured

  3. 03

    Expose

    We ship the MCP server: typed tools, permissions by role, audit log. We connect Claude, ChatGPT and the agents you choose.

    OutputMCP gate · Connected clients

  4. 04

    Operate

    Agents take over repetitive work, reporting and follow-ups. We measure, tune and extend alongside your team.

    OutputAgents in production · Hours back

§ 05Verticals in production13 platforms · composed from primitives

No platform yet? We can move even faster.

Ready-made operating systems that already solve real problems in specific fields, kept in production for real clients. They are always a starting point, never the finish line: we customise everything and build the vertical functions your company needs.

Every platform page lists what it supports today. What your company needs is defined in the audit and built as new modules, so the list you see is a floor, not a ceiling.

All platforms and primitives
§ 06In productionSince 2014 · 100+ organisations

Over twelve years of software. Across many industries.

Since 2014 we have built software that runs in production, helping sectors from life sciences to mobility. Each case starts from a real operational problem and ends with a measurable result.

All case studies
Thermo Fisher & Oncologica
LIFE SCIENCES30%

Pool testing that cut school COVID testing costs by 30%

Read the case
Oncologica
LIFE SCIENCES5

Streamlining the entire cancer patient treatment pathway

Read the case
Playmoove
MOBILITY7 cities

The first white-label shared-mobility platform, as a service

Read the case
  • 2014
    Building since
  • 100+
    Organisations served
  • 6M+
    Lab samples processed
  • 41
    Countries
§ 07AgentsPlug into your OS through MCP

No idea how agents could transform your company? See some of the ones we have built.

Agents for the jobs that eat hours: contracts, email, reminders, shifts, documents. Each one runs on typed tools with a person reviewing what matters.

Browse the catalog
Contract-Drafting Agent
AUTOMATIONCONTR01

Contract-Drafting Agent

Turns a spoken request into a structured, versioned contract in Google Docs — on the templates your team already uses.

View agent
Shift-Scheduling Agent
AUTOMATIONSHIFT01

Shift-Scheduling Agent

Plans staff shifts, talks to your team over WhatsApp, and enforces contract limits automatically — so coverage stays right without manual juggling.

View agent
Warehouse-Management Agent
AUTOMATIONSTOCK01

Warehouse-Management Agent

Watches stock levels, predicts demand from your sales history, and flags what to reorder — so you stop running out and stop over-holding.

View agent
Email-Triage Agent
AUTOMATIONEMAIL01

Email-Triage Agent

Reads incoming mail, classifies it by topic and priority, files it and drafts standard replies — so nothing gets lost and your inbox stops running the day.

View agent
Medical-Office Secretary Agent
AUTOMATIONSECR01

Medical-Office Secretary Agent

Runs the diary for a medical or dental practice — booking, reschedules, reminders and waiting-list fills — so the front desk stops living on the phone.

View agent
Time-Tracking Agent
AUTOMATIONTIME01

Time-Tracking Agent

Collects worked hours over WhatsApp and voice, builds the timesheets and chases the missing ones — so billing and payroll stop waiting on manual entry.

View agent
§ 08Questions teams ask before they start
01What is an “operating system” for my company?

Not a new ERP that replaces everything. It is the layer that unites the systems and data you already have (or the modules you are missing) and exposes them in one consistent way to people and to AI. It runs on your infrastructure.

02What is MCP and why does it matter?

Model Context Protocol is the open standard Claude, ChatGPT and agents use to discover and call tools. Your system ships an MCP server: each module becomes a typed action with permissions by role and a log of every call. The AI sees only what it is allowed to use.

03Can the AI damage our data?

Every tool is scoped: reads, writes and sensitive actions are separate permissions. Anything that matters — a contract, a payment, a change to a record — waits for a person to approve. Every call is logged, so you can always answer what happened and why.

04Do we have to rebuild everything from scratch?

No. We start from fourteen primitives and thirteen vertical platforms already in production, and we connect to the ERP, CRM and documents you have. The first workflow is usually live in weeks.

05Which AI do we have to use?

Any. The gate is the same for Claude, ChatGPT, local models and the agents we build. You can switch or combine models without touching the system.

§ 09: Start with an audit

See your system on the map.

We start by looking at how your work really runs. You get a map of your processes, the modules that fit, and the first workflow worth opening to AI.

Plan your system Explore the platforms