Services
We design and build custom software, connect enterprise systems and put the data and security foundations under them. We cover the full lifecycle of a solution, from the initial analysis and architecture through development and integration to operations and support. Before any design work we map your processes and data, and base the technical decisions on that context.
Web and internal applications, e-commerce and APIs built around your processes.
View detailsConnecting ERP, warehouse, accounting and your shop, plus the architecture behind it.
View detailsProcess automation and governed flows between tools, data and models.
View detailsA data warehouse, reporting and data quality checks you can decide from.
View detailsThreat analysis, data and access protection, independent security audit.
View detailsTraining for your team and an independent review of software you already run.
View detailsVisibility for your content in ChatGPT, Perplexity and Google AI Overviews.
View detailsMonitoring, backups proven by restore, and agreed availability.
View detailsArchitecture review, technology selection and assessment of a supplier quote.
View detailsWe build backend and fullstack solutions on established software design principles and on an architecture split into bounded steps orchestrated by a use case. Code is handed over documented and covered by tests, so another team can take it on.
Complex B2B/B2C e-shops, REST/GraphQL APIs, integrations and scalable infrastructure (Docker, Kubernetes, PostgreSQL, RabbitMQ).
Development on the professional ShopSys e-commerce framework: a fast start, robust architecture, full control over code and performance.
The ten kinds of work people come to us for most often. For each one: what it actually is, and what we really do on a project like that.
The site a customer reads when they find you through Google or follow a link.
We build it to fit, not from a template: content, structure and copy follow what you sell and who buys it. We handle load speed, how it looks on a phone, and being findable in search. Afterwards you edit it yourself through the admin.
A system that runs in a browser and calculates, records or processes something — bookings, orders, timesheets, approvals.
First we find out how the process runs today and where it jams. Then we build for exactly that, without features nobody will use. We connect it to the systems you already have, so nothing gets retyped by hand.
One place holding every contact, enquiry and deal, so nothing is lost in inboxes and notebooks.
We shape it around how you actually sell — the steps a deal goes through and what you need to see. We connect it to email, your web form and invoicing. If an off-the-shelf CRM suits you, we will say so and help configure it instead of building one.
The admin where you change text, images and articles yourself, without calling a developer.
We build the interface around your people rather than a generic one. Whoever needs to change something sees it; the rest stays out of their way. Usually with a change history, so an edit can be traced, and multiple languages if you sell abroad.
An internal system for staff — attendance, approvals, documents, company material. It never faces the public.
We set up roles and access so everyone sees only what they should, and handle sign-in through your company accounts where they exist. Most of the effort goes into making people actually use it: an internal system that is awkward gets routed around by the whole company.
An online shop built on ShopSys — the professional e-commerce framework we have worked with for years.
We set up the catalogue, variants, pricing and delivery the way you sell. We connect stock, accounting and carriers, so an order never has to pass through a spreadsheet. We also cover the obligations people forget — how discounts must be shown, and the terms of sale.
Removing repetitive manual work — retyping data, sending the same emails, raising the same documents.
We pick the one task eating the most hours, measure it, and automate that. Only once it proves itself do we go further. It ships so a person reviews the output first, and only what has demonstrably earned it runs unattended.
An assessment of software you already run: what state it is in, where the risk is, and what to do next.
We look at the code, the database and how it is operated. You get a report in plain language — what is fine, what is on fire, what can wait — with an estimate of what fixing it costs. Including when the answer is that nothing needs doing.
For when a site or system works but is slow, falls over under load, or costs too much to run.
We measure before we touch anything, or you end up fixing what was not the cause. We deal with slow database queries, page weight, caching and server cost. The result comes with before-and-after numbers.
An app on a phone as part of a larger solution — not a separate island beside your system.
We build it against the same backend the rest of the system runs on, sign-in and permissions included. First, though, we work out whether you need one: plenty of briefs are served well by a site that works properly on a phone, and it saves you app-store review.
Custom web applications and internal tools — Symfony, modern APIs, automation and AI integrations.
We design integrations on established patterns: a clear contract between systems, repeatable transfer, and processing that tolerates the other side going down. Architecture is documented in line with the TOGAF method and modelled in ArchiMate notation, so another supplier can take it over.
Connecting your systems — ERP, e-shop, warehouse, accounting or CRM — so they hand data to each other on their own.
We build integrations on proven patterns: a clear contract between systems, repeatable transfer, and processing that survives the other side going down. When one end stops answering, data is neither lost nor duplicated — the transfer waits and retries.
A plan for how your systems should fit together — written down before the money goes in.
We map the current state, design the target one and the route between them. Architecture is documented in line with the TOGAF method and modelled in ArchiMate notation, so another supplier can read it too — with the emphasis on tying business goals, processes and technology together.
The paper-and-email round trip replaced by a form that sends data straight where it belongs.
We design forms for official electronic communication as well as for internal and web applications — with server-side validation, an approval path and a direct link into existing systems, so collecting data does not end in somebody’s inbox.
We join language models, internal systems and data into governed flows that withstand production load. That covers request routing, tool calling, retries on failure and output validation, with sensitive operations authorised on the server.
The repetitive steps you do by hand today are taken over by the system.
We connect e-mail, spreadsheets, stock and invoicing so data no longer flows through copy-paste.
Several models and tools joined into one controlled flow.
Routing, tool calls, retries and output checks, with sensitive actions authorised server-side.
Long jobs — imports, exports, document generation — run away from the user’s screen.
Jobs go into a queue, we track their state and retry them on failure. Nobody waits on a loading spinner, and one failed job does not take the rest of the system with it.
We design data architecture and business intelligence solutions from the warehouse through to reporting. For every field we name the source of truth and set quality checks, so the numbers in reports agree across departments and over time.
One place where numbers from different systems carry the same meaning and the same history.
We design the data model and the warehouse so that data arriving from integrations is stored consistently and can be compared over time. We name which system is the source of truth for which field — without that, two reports always disagree.
Reports that answer a question, not a dashboard full of charts nobody opens.
We start from the questions you need answered and only then build the views. Reports read straight from the warehouse, so the numbers match across departments and nobody reconciles them by hand before the meeting.
A check that usable data is arriving — and a warning when it stops.
We set rules for completeness, format and duplicates so an error is caught on the way in, not in the report. When a feed breaks or volume suddenly drops, you hear it from an alert rather than from a customer.
For every feature, endpoint and data model we work through the ways it could be abused, and each risk produces a concrete measure and a test that guards it. Data is encrypted in transit and at rest, access is governed by role, and sensitive operations are written to a separate audit trail.
Threats are worked through before any code is written, and the countermeasures become part of the brief.
For every feature we go through what could be abused: authorisation bypassed, someone else’s data reached through a swapped ID, an amount tampered with. Each threat turns into a concrete measure and a test that guards it, so it cannot be quietly dropped.
Clear rules about who reaches which data — and evidence of what they did with it.
Data is encrypted in transit and at rest, and access is granted by role and only where it is needed. Sensitive operations are written to a separate audit trail that cannot be rewritten from inside the application.
An independent review of a finished solution — yours or another supplier’s.
We go through authentication, authorisation, input handling, dependencies and server configuration. You get findings ranked by real impact with a suggested fix — not a hundred-page scanner report nobody finishes.
We train your team to work with language models inside their own day-to-day work, and independently assess an application you already run. Operating it is covered in section 08 below.
Hands-on training for your team — how to use AI tools for real work, not for play.
We start from what you actually do and show where AI saves you time and where it is just needless complication. We set up the tools, the processes and the boundaries — including which data must never go into an AI. We leave once the team can do it alone.
An independent look at an application you already have — what works, what is a risk and what will be expensive.
We go through the code, architecture, security and performance and write a plain-language conclusion — no jargon and no sugar-coating. You get a prioritised list of findings and an estimate of what fixing them costs. You are not obliged to continue with us; the report is yours.
Users increasingly ask language models instead of searching the classic way. We adjust content structure, structured data and crawler access so that systems such as ChatGPT, Perplexity and Google AI Overviews can process and cite your site. We optimise the performance of the site itself alongside it.
Visibility in the answers of AI assistants — ChatGPT, Perplexity, Google AI Overviews — not only in the blue links.
We rewrite content into a form AI can cite: the answer up front, a clear structure, facts verifiable on the page. We add llms.txt, AI-crawler rules and internal links so the models understand what you do and for whom.
Schema.org markup, sitemap, speed and a clean structure so search engines and AI read the site without guessing.
We deploy structured data (Organization, Article, FAQ, Service), fix technical brakes — load speed, indexability, mobile rendering — and set measurable goals so you see a real shift.
AI as a tool that speeds up content, translations and routine edits — under human quality control.
We set up a workflow where AI drafts first versions and variants, a person tunes and approves. We can also connect your internal data via RAG so outputs fit your company, not generic phrasing.
We deploy applications in containers, so they run the same on our infrastructure, on yours, or with another provider. Operations covers monitoring with alerts, backups proven by a trial restore, agreed availability with response times by severity, and automated deployment of changes.
Your AI system runs on our infrastructure — model, API and data in one place, with no servers for you to look after.
We package the application into containers so it behaves the same on a laptop and on a server. When traffic spikes we add capacity and take it away again in the quiet hours, so you are not paying for headroom nobody uses.
Clear rules about which data reaches the model and which never does — and separate environments, so testing cannot touch live data.
Data is encrypted in transit and at rest, and access is granted only where it is needed. Sensitive fields can be stripped from a prompt before it ever leaves for the model. Where personal data is involved we prepare the groundwork for your lawyer — the judgement itself is theirs, not ours.
An AI bill grows with how much you ask the model, not with how many people use it. Without caps and measurement you find out from the invoice.
We set limits per request and per period, cache repeated questions, and measure which feature spends what. When consumption runs away, you hear it from an alert rather than from the end-of-month statement.
Visibility into whether the system is up and how fast it answers — and the certainty that your data stays yours.
We watch availability, error rates and response times, so an outage reaches us before it reaches you. Data is backed up regularly. If you decide to leave, you get the repository, the deployment instructions and the data, and run it wherever you like.
We assess architecture, supplier proposals and technology decisions for clients who run delivery with their own team or another supplier. The output is a list of risks and recommendations ordered by impact and effort. If the most sensible answer is to configure a tool you already pay for, we will tell you.
An independent look at the quote, estimate or proposal currently on your desk.
We read the brief and the proposal and say what is missing, what is inflated and where the risk hides in the detail. You get the questions worth putting to the supplier before anything is signed.
An assessment of what you run today and the order in which to develop it.
We go through the architecture, the data model and how it is operated, and mark the places that will throttle growth. The findings become a sequence ordered by impact and effort, so you can start with what pays back first.
The basis for deciding what to build on and with whom — with no obligation to us.
We compare the realistic options against your actual constraints: budget, team, existing systems and time. We also name what each choice closes off later, which with technology usually costs more than the licence itself.
MightCore was founded by two people with a passion for technology — and around them stands a team of further specialists: developers, marketers and AI engineers who bring years of expertise to every project.
Founder
As a technology enthusiast, programmer and founder of MightCore, I have a single goal — to realise the most amazing ideas and dreams. I am ready to face technological challenges, actively solve problems and never stop moving forward. I believe in the unlimited potential of people and am convinced that whatever a person can imagine, they are also able to achieve.
Co-Founder
By education I am a mathematician who enjoys solving diverse problems. I love finding analogies between things that seem unrelated at first glance, especially when it helps solve a problem elegantly. I am convinced that humanity currently uses only about 1% of its technological potential, and I am ready to change that.
We are not alone in this. Depending on the project, we bring in proven specialists from our network — from backend and frontend developers through DevOps and AI engineers to specialists and mentors. Always the right person for the right context.
Do you have questions about our services or need advice on a project? We'll be happy to arrange a free consultation. Just call or write to us.
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