— 01
Business automation
Digitising day-to-day operations — accounting, sales, warehouse, document flow, reporting. Less routine, more clarity.
Operations Open to work · Almaty / KZ
An engineering studio for software that
runs for years.
Mouravi is a small senior team building custom systems, prototypes that survive contact with users, and AI that earns its keep — full cycle, from first conversation to long-term operations.
2024—
— Founded · Independent
Full-cycle
From a problem statement to a system in production.
Senior team
No juniors on critical paths. B2B and enterprise track record.
1 day
Reply to your brief — in one working day.
— 01 / Practice
Predictable engineering of complex software.
Every engagement begins with a conversation, not a proposal. We need to understand the business before we recommend the technology.
We work full-cycle: from a business idea and a fast prototype, through production engineering, integrations, rollout and operations. We pick the stack to fit the problem, not the other way around — and we use AI where it actually accelerates delivery, in our process and in your product.
What makes money, what bleeds it, who uses the system day-to-day, what the next twelve months actually look like — these are the questions we ask before sketching architecture and economics. Useful software that pays back, with technology that stays manageable after we hand it over.
Tenet · 01
Senior team, no juniors on critical paths
Engineers, analysts and product managers with a long track record of B2B and enterprise software. The same people who scope the work also ship it.
Tenet · 02
Real engineering, not a polished demo
Architecture, load, security and operations are first-class concerns. We hold our own infrastructure standards — automated tests, code review, CI/CD, monitoring.
Tenet · 03
Business focus before technology
We model the economics, design the process and drive automation to actual return — not vanity output. The recommendation always follows the business case.
of the work goes through senior engineers — every line, every release.
— 02 / Engagements
What we take on, and the typical shape of the work.
We take projects end-to-end — from problem statement to a product running in production. We also plug in mid-flight if your team needs reinforcement.
— 02
Rapid prototyping
A working prototype you can show to stakeholders, validate with users and pilot in the field.
Discovery— 03
Product business plan
We work the economics, the audience, the MVP scope and the roadmap to v1.0 and beyond — together with the client.
Strategy— 04
Custom software
Web applications, backends, integration services, mobile clients, dashboards. Architecture engineered for growth and operations.
Build— 05
Rollout & support
Infrastructure, data migration, team training, SLA-backed support, and continued product evolution after launch.
Operate— 06
AI in product and process
Embedding LLM features into products — assistants, document processing, search, classification — and using AI ourselves to ship faster.
Intelligence— 07
Tech consulting
Help picking the stack, the architecture and the cloud against your goals, budget and team. Audits, second opinions, modernisation roadmaps.
Advisory— 08
Tell us about the problem.
If your problem doesn’t fit a tidy box, that’s usually where we’re most useful.
Open a brief →— 03 / Method
Six stages, no magic.
Clear stages, regular demos, fixed KPIs and a sane engineering culture. We use AI where it actually accelerates delivery — in our process and, where it pays back, in your product.
01
Discovery
We unpack the problem and the business context — goals, constraints, success criteria. We agree on what we are building, and why.
02
Plan & architecture
We model the economics, pick the stack, design the architecture and lay out the release plan. Clear roadmap, sharp MVP scope.
03
Prototype
Two to four weeks. A working prototype on real data — feedback from users and stakeholders before any large investment.
04
Production engineering
We grow the product iteratively. Automated tests, code review, CI/CD, monitoring. Regular demos, transparent progress.
05
Rollout
We prepare infrastructure, migrate data, train users and put the product into production.
06
Support & evolution
We hold SLAs, react to incidents and grow the product along the roadmap. A predictable engineering partner.
— 04 / Toolkit
Tools and frameworks, by domain.
We pick technology to fit the problem, not the other way around.
Languages
TypeScriptJavaScriptPythonGoJavaKotlinC#SQLRust
Frontend
ReactNext.jsVueNuxtTailwind CSSReduxZustandViteReact Native
Backend
Node.jsNestJSFastAPIDjangoSpring Boot.NETGraphQLgRPC
Data
PostgreSQLMySQLClickHouseMongoDBRedisKafkaElasticSearchS3
AI & ML
Claude / AnthropicOpenAILangChainLlamaIndexRAGVector DBsWhisperMCP
DevOps & Cloud
DockerKubernetesGitLab CIGitHub ActionsTerraformYandex CloudAWSLinux
The toolkit changes when the work asks for it. We are not loyal to a stack.
— 05 / Contacts
Tell us about the problem.
We like specifics: a few sentences about what you need, the timeline, and who will use the result. We come back with an approach and the next steps.