Hero Background
    Operator of AI-native engineers

    You overpay for development missing the 10x difference

    Traditional hiring is a lottery. We find AI-native engineers through real-world simulations and organize a predictable AI-DLC process for them.

    Trusted by Global Teams

    Skillstaff
    Skillstaff
    CROC
    CROC
    RedLab
    RedLab
    GMSC
    GMSC

    From guessing to real measurements

    Traditional hiring relies on faith in pretty resumes. We create a secure environment where engineers solve real-world problems.

    Traditional Hiring

    Resume Lottery

    Evaluation
    Experience + Stack (Words)
    Funnel
    Vacancy → Resume
    Verification
    Algorithmic tasks (LeetCode)
    Payment
    For hours and attendance
    AI-DLC Operator

    Behavioral Simulator

    Evaluation
    AI Insights + Speed + Ownership
    Funnel
    Vacancy → Intent Graph → Simulation
    Verification
    Secure E2B Sandbox with real code
    Payment
    Predictable cost (Tokens / Results)
    Speed to Signal: we immediately see who is a real product engineer capable of delivering results, not just closing tickets.
    Semantic AI

    Instant matching by the meaning of the vacancy

    Semantic Matching Visualization

    We use vector embeddings to find AI-native engineers whose skills perfectly match the context of your task.

    👉 This is no longer keyword search. This is semantic matching of AI-native skills in vector space.

    System understands the meaning:

    "data visualization"
    "Tableau dashboards"

    We see those who actually build products

    You no longer have to guess if a developer will deliver. Our platform is a behavioral simulator that measures who works 10x faster with AI.

    Traditional Hiring
    Costly
    You pay for the process, not the result
    Long time-to-hire
    Paying for hours, not closed tasks
    Efficiency Model
    AI-native engineers
    Predictable
    Paying for real delivery
    Instant integration
    SDD for architectural control
    ScalabilityUnlimited
    x10
    Speed Difference
    1 min
    Vacancy Analysis
    Наши технологии

    A behavioral simulator, not a resume database

    We measure, we do not guess

    Every AI-native engineer passes through our simulation system. We know their exact speed and problem-solving capabilities.

    Specification-Driven Development

    We transition development from chaotic vibe coding to strict engineering discipline via specifications.

    Secure Evaluation Environment

    Evaluation takes place in isolated sandboxes (E2B), ensuring objectivity and code security.

    Real Product Engineering

    We find engineers with ownership and product thinking, not just ticket-closers.

    Product thinking analysisAI skills evaluationOutput tracking
    Agent Observability

    Real-time
    infrastructure monitoring

    The platform provides continuous observability over AI agents (Time-Travel Debugging) and specification control.

    450k+
    Tokens per minute
    99.8%
    Spec Match Rate
    Agent
    Claude 3.5 Sonnet
    98
    Spec Match
    Generated Greenfield architecture
    OpenSpecZero-shot
    2 mins ago
    Audit
    Specification Auditor
    94
    Spec Match
    Verified spec-to-code mapping
    No Spec DriftApproved
    15 mins ago
    Security
    Modal microVM
    99
    Spec Match
    E2B Sandbox isolated execution
    APOA TokenSandboxed
    1 hour ago
    Agent
    Claude 3.5 Sonnet
    98
    Spec Match
    Generated Greenfield architecture
    OpenSpecZero-shot
    2 mins ago
    Audit
    Specification Auditor
    94
    Spec Match
    Verified spec-to-code mapping
    No Spec DriftApproved
    15 mins ago
    Security
    Modal microVM
    99
    Spec Match
    E2B Sandbox isolated execution
    APOA TokenSandboxed
    1 hour ago
    The Process

    Show the difference in 1 minute

    01
    Stage 1

    Define Specifications

    We decompose your product idea into a strict OpenSpec format that describes requirements and architecture.

    02
    Stage 2

    Pipeline Initialization

    Connect OpenSpec and deploy isolated sandboxes (E2B) for agents.

    03
    Stage 3

    Generation and Audit

    AI agents write code, and a technical auditor validates the result for Spec Drift and architectural compliance.

    04
    Stage 4

    Product Deployment

    You receive a finished product with predictable quality, zero technical debt, and full observability.

    Applied Expertise

    Tasks Our Clients Solve

    Fintech

    Deployed AI pipelines for banking systems with strict security and code audit requirements.

    AI Projects

    Rapid prototyping and LLM integration using autonomous multi-agent systems.

    Digital Platform Development

    Frontend, backend, and mobile development based on strict specifications and AI assistants.

    Technical Debt Management

    Replace legacy code through automated refactoring according to specifications.

    Want to understand where you are losing money?

    Send us your vacancy description. We will show you ai-native engineers in 1 minute.