Applied AI for real products

AI that acts —
and proves every step.

We build large language models into the products themselves: agents that automate real business processes, an ambient scribe that turns a conversation into a structured document, and apps you can just talk to. Never a bolt-on chatbot — woven in, with a human in the loop and a full audit trail on every decision.

Model-agnostic Tool use via MCP Human-in-the-loop Cost-traced per run
The common foundation

Four principles under everything we ship

The same spine runs through every product. It is what makes an AI feature safe to put in front of a clinician, an auditor, or a regulator.

01 / PROVIDER

Model-agnostic

Every product works with any LLM provider. The model is chosen and configured per deployment — never locked to one vendor.

02 / TOOLS

Tool use via MCP

The AI reaches real data and actions through the Model Context Protocol — it reads records and does the work, not just talk.

03 / OVERSIGHT

Human in the loop

Approval gates on anything that writes or acts on sensitive data. Low-confidence results route to a person, not into the record.

04 / EVIDENCE

Traced & costed

Every run traced end to end, with token cost captured per run, per model, per workflow. Nothing the AI decides is a black box.

Selected work

Three products, one discipline

Real products in regulated, audit-heavy work — each putting AI inside the app itself, with a human in the loop and every decision traceable.

AI platform Business automation

Automation Studio

A visual canvas for building agentic workflows that automate real business processes. Drag deterministic steps and AI-agent nodes onto one board and wire them together — non-developers compose real automations in minutes, not engineering tickets.

How the AI works: the diagram compiles into an executable agent graph. Each agent runs a reason-and-act loop with its own model, tools, memory and knowledge base; short-term memory is checkpointed so a run can pause for approval and resume. Writes are gated, and every decision is logged with the data it touched, its reasoning, and its exact token cost.

StackVue Flow canvas · agent runtime · MCP servers
Per agentModel · tools · memory · knowledge base
EngagementProduct design & build
Status● In active development
Speech AI Clinical & non-clinical

Business Speech-to-Text

A speech-to-text and structuring platform for any domain — clinical consultations, business meetings, field reports, legal. It listens, transcribes, and turns the raw conversation into a structured document that follows your template.

How the AI works: two stages. A provider-agnostic speech-to-text engine turns audio into a verbatim, speaker-labelled transcript; then a language model turns that into a structured document — sectioning to a chosen template (SOAP for a clinical note, minutes-and-actions for a meeting), handling negation, filtering small talk, and synthesising details mentioned minutes apart. A person reviews and signs; the exact template, model and version are frozen onto every document for traceability.

StackSTT (Deepgram / Azure / Google / Whisper) · any LLM
DomainsClinical · meetings · field service · legal
OutputStructured document + summary (FHIR for clinical)
ModesStandalone · embedded · API / SDK
Status● In production
HR app + AI assistant

HR App

An HR app people actually enjoy using — because you can just talk to it. Alongside the dashboard, leave and absence, approvals, a team calendar and employee records, there’s an AI chat built right in: ask “how many days do I have left?”, “request three days off next month”, or “who’s off this week?” — and it just does it.

How the AI chat works: it connects through its own MCP server, so it reads live data and performs real actions inside the app’s own permissions — booking leave, checking balances, even charting headcount on request — not a chatbot bolted on the side. The provider and model are set by an administrator at runtime; a deterministic mock stands in during automated tests.

The chatBooks leave · checks balances · charts trends — in plain language
AlsoDashboard · leave & absence · approvals · team calendar · employees · equipment
RolesEmployee · manager · administrator
StackKeycloak auth · dedicated MCP server · any LLM
Status● Shipping
hr-app · assistant
The HR app AI assistant panel, in dark mode, answering in plain language and rendering a bar chart of approved leave days per month
The AI chat — ask in plain language; it reads live data and even charts it.
hr-app · dashboard
HR app manager dashboard in dark mode: leave balance, pending approvals, who is out this week, active employees and equipment
Manager dashboard — balances, approvals, headcount and equipment.
How we deliver

Built to hand over, not to hold hostage

The same terms we put in writing for our enterprise clients. They are why a risk-averse buyer can commission a custom platform without betting the business on a vendor.

01

Fixed-price, milestone-based

Work is delivered in phases, each signed off in writing before the next begins. Payment follows the sign-off — not the promise.

02

100% of the IP is yours

Code, schemas and documentation transfer to the client on final payment. No proprietary framework, no dependency you cannot replace.

03

Open-source only

Every dependency is MIT- or Apache-2.0-licensed, with a software bill of materials delivered as project documentation.

04

Auditable by construction

Append-only audit trails, version-controlled migrations, and approval-gated deployments — the change-control evidence regulated work requires.

The studio

Jakimio Technologies

We are a software studio building end-to-end software solutions and AI integrations — we design, build, test and deploy the whole system, from the data model to the last pixel. We work where correctness matters: regulated, audit-heavy domains where a wrong answer has a cost.

Our edge is putting AI to work responsibly inside real products — with the governance, observability and human oversight those domains demand. The products here are the proof.

WHAT YOU GET
  End-to-end delivery — design, frontend, backend, deploy
  AI woven into the product, not stapled on
  Governance & audit as a first-class requirement
  Clean handover — your code, your infrastructure
HJ
Hristijan Jakimovski
Founder · Jakimio Technologies
Contact

Tell us what has to be right.

A new build, a system that needs governance put around it, or a partnership — start here. Investment and partnership enquiries welcome.

+389 70 254 801Hristijan Jakimovski
info@jakimio.com
29 Noemvri 57, 1000 SkopjeNorth Macedonia