What we build
Two practices on one engineering foundation. Below is the concrete list of work we take on, so you can see whether your task is on it.
Web development
Systems that a company runs on every day. We model the data around the real process, not a generic template.
Enterprise platforms
Customer and partner portals, internal accounting systems, role-based portals. Data structures designed around your actual workflow.
Integrations
Accounting, CRM, payment gateways, delivery services, third-party APIs. Data exchange set up so a failure on one side does not bring down the rest.
High-load services
Caching, queues, horizontal scaling, monitoring. We work out in advance where the system will hit its limit and put the headroom there.
Websites and landing pages
Corporate sites and product pages that load fast and behave on mobile. Analytics wired in so you can see what your traffic is doing.
Support and evolution
Maintenance of existing systems, including ones written by another team. We start with a code and infrastructure audit to know what we inherited.
Infrastructure
Deployment, containers, automated builds and releases, backups, observability. A release should require no manual steps.
AI solutions
Language models and vision put to work inside a process, with a metric attached. If a model gives no advantage over a simple solution, we say so.
Language model integration
LLMs connected to products and internal processes: request handling, document drafting, extracting data from text. Model matched to the task, cost per request estimated up front.
Knowledge-base search (RAG)
Answers to questions about your documents, with references to the source. The work is in data preparation and answer evaluation, not in the model.
Agents and automation
The model carries out a sequence of actions: gathers data, calls services, prepares a result. Control at every step, clear limits of authority.
Image and video processing
Generating and editing media, object recognition, moderation of user content, preparing assets for different platform formats.
Computer vision
Document recognition, quality control from photos, object counting, real-time video stream processing.
Evaluation and rollout
Before building, we test the hypothesis on a limited scope and measure the result. Prototype, metrics, pilot, then the system.
How to start
| Fixed-scope project | Scope, milestones and deadlines in the contract. For a task whose boundaries are clear. |
|---|---|
| Dedicated team | Developers inside your process, on your priorities. For long-term product work. |
| Consulting and audit | Assessment of an existing system, technology choice, validating an idea before development. Limited scope, fast result. |