AI-Native Software Engineering Studio

    AI has changed the rules.
    We build by the new ones.

    We ship AI agents, MVPs, and internal systems faster than traditional development — with senior engineers, security, and result-level control. From a first working prototype in 7 days to a production solution.

    ×3–5faster than traditional dev
    7 daysto first MVP release
    50+projects launched

    10+ лет в IT50+ проектовSenior-командаPrivate-firstNDA по умолчанию

    What teams come with

    Four common situations

    If at least one of them sounds familiar — we probably have something to talk about.

    Knowledge exists — but no one can reach it

    Your company has knowledge scattered across files and chats — yet people still walk over to ask a colleague.

    AI without the chaos

    You want to bring AI into your processes without risking your data, your people, or your reputation — with roles, logs, oversight, and clear boundaries.

    Legacy is the foundation, not a junk drawer

    You have a legacy system that needs to evolve, integrate, or be replaced step by step.

    A tool, not a pitch deck

    You don't need an AI workshop — you need a working tool: a prototype, an agent, or a system you can put in front of the team and test on a real task.

    Who DevNeuroX is for

    Who we fit.

    We work with B2B companies, products, and enterprise teams that already have processes, data, and a cost of manual work. AI delivers value where there are CRM, documents, chats, tasks, internal systems, and a process owner — not in a vacuum.

    01

    B2B companies 30–500+ employees

    When CRM, chats, documents, and tasks become operational noise: leads slip, knowledge is scattered, reports are pieced together manually, and people work as integrators between systems.

    02

    Enterprise and regulated industries

    When private contour, NDA, roles, audit logs, human approval on critical steps, and careful integration with internal systems matter.

    03

    Product teams and startups with launch budget

    When you need to validate a hypothesis fast, ship an MVP or internal tool — but not a no-code toy without architecture and support.

    04

    Partners, integrators, and consultants

    When you have client context and a task, but need an AI-native engineering partner: brief, architecture, pilot, integrations, delivery, and support.

    Services

    Four directions — one path

    From a first working prototype to enterprise-grade systems. We work the full distance — picking the tool for the job, not the other way around.

    01

    Development with AI at the core

    We build products through AI-native delivery: agents accelerate code, analysis, documentation, and checks, while senior engineers own the architecture, security, and business logic.

    from 7 daysto first working version
    AI-NativeMVPSaaS
    02

    AI-agent engineering

    We build agents for a specific process inside the company: document search, a sales-team helper, a tender assistant, an executive agent, or an internal AI helper for the team.

    ×6routine operations speedup
    AgentsRAGAutomation
    03

    Classical software engineering

    For large products where the cost of failure is high and predictability matters. AI speeds up engineers but doesn't replace their oversight.

    EnterpriseEnterprise-grade reliability
    BackendArchitectureScale
    04

    Moving teams to an AI-Native approach

    An audit of your delivery process, rollout of an agent-based approach, team training, and setup of working AI tools. For studios and in-house IT teams that need to move faster without losing control.

    Lessmanual work in delivery
    ConsultingTrainingWorkflow
    Where we shine

    DevNeuroX delivers strongest results when AI is built into the process, not just demoed.

    • AI agents for sales, support, tenders, backoffice, and executives.
    • MVPs, SaaS, and internal tools to validate hypotheses and launch new products.
    • Integrations between CRM, ERP, 1C, documents, messengers, APIs, and internal databases.
    • Gradual legacy modernization — without a rewrite into the abyss.
    • Corporate knowledge systems (RAG) with sources, permissions, and quality control.
    Process

    From the task — to a working solution

    Four steps, no fluff or slideware. Each one produces a concrete artifact you can inspect.

    01

    Task discovery

    Discovery

    You describe the process, product, or problem. We ask the clarifying questions and capture the goal, constraints, data, integrations, and success criteria.

    02

    Fast prototype

    7–14 days

    In 7–14 days we ship the first working slice — not a deck, but a product or agent you can actually try.

    03

    Pilot on your data

    Pilot

    We connect real documents, CRM, spreadsheets, email, or internal systems — inside an agreed perimeter and with clear access rules. We validate quality on live scenarios.

    04

    Production and support

    Production

    We harden it for production: roles, security, logs, monitoring, runbooks, support, and ongoing evolution.

    Cases

    What we've built

    Clients are under NDA, so we show the industry, the task, and the measurable impact.

    01AI agentB2B · Complex technical products · NDA

    AI consultant for B2B sales

    Format
    A pilot on the client's product catalog and knowledge base.
    Before
    A manager spent up to 30 minutes preparing one consultation on a complex product.
    What we did
    The agent searches the catalog and the knowledge base, gathers arguments for the client's request, and drafts a consultation for the manager to review.
    After
    Prep takes about 5 minutes.
    Impact
    ×6 faster consultations, less load on senior salespeople.
    02AI agentE-commerce · NDA

    AI agent in e-commerce

    Before
    Managers answered routine questions by hand and lost a share of customers.
    What we did
    A salesperson-agent inside the store with full product context.
    After
    In the test segment the agent replied faster than human managers and helped capture incoming requests that would otherwise be lost.
    Impact
    AI became part of the sales motion — not a separate “chat widget” glued onto the site.
    03AI-Native devE-commerce · NDA

    AI-native store build

    Before
    Traditional development of a premium online store would have taken months.
    What we did
    Assembled the product through an agent pipeline under senior-engineer control.
    After
    Same level of quality, faster and cheaper.
    Impact
    ×4–5 savings on time and budget.
    Step 1 — Tell us about your project

    Talk to the agent — it will understand your task

    Describe your idea in text or attach a document. The agent will ask clarifying questions and draft a Product Brief: goal, key features, data, integrations, risks, and a rough timeline. After that, a human on the team reviews and refines the conclusions.

    Contact form is below if you prefer to write directly.

    ~/neurox — brd-agent

    Agent is typing…

    Why you can trust us

    Not “AI enthusiasts” — an engineering team

    DevNeuroX is senior engineers and architects who use AI as the working environment for development — not as a trendy add-on.

    We don't hand the project off to “an autopilot neural net”. AI accelerates code, analysis, documentation, and checks; architecture, security, and the final calls stay with humans.

    Six facts about us

    • 10+years in IT
    • 50+delivered projects
    • 1–2projects in flight at a time — no spreading thin
    • NDAby default
    • Privatefirst approach
    • Your perimeterwe can work inside it
    When we're not a fit

    Better to say honestly upfront than sell a project that won't fly.

    A few task types we set aside. If you recognize your situation — it's not a 'no', it's 'let's talk differently'.

    ×You need 'just a chatbot' with no access to data, process, or a responsible owner.
    ×There's no one on the client side who can make decisions and validate results.
    ×You need a landing page, simple site, or design without an engineering task.
    ×Expectation: 'AI will do everything by itself, the team won't be involved'.
    ×You need a cheap no-code prototype with no requirements for security, support, or evolution.
    ×No budget for a pilot from 350K RUB, or expecting a production system for '50K'.

    Not sure? Describe the task — we'll tell you straight whether it makes sense via AI.

    FAQ

    Sharp questions

    The most common doubts and objections before we start. If your answer isn't here — ask via the form below.

    For partners

    Plug us in as an AI-native engineering team under your client.

    You bring client context and industry. DevNeuroX handles discovery, architecture, pilot, integrations, delivery, and support.

    White-label delivery·Joint sales·Technical presale·Pilot under your client·Long-term support
    Contact

    Tell us the task — we'll say what's actually doable

    Write down what you'd like to launch or automate. We'll come back with a short read: which approach fits, how long the pilot might take, what data we need, and the budget range to expect.

    We reply within 2 hours during business hours. If your task isn't for us — we'll say so honestly and point you to a better path.