01 / 08
Engineering Studio

AI agents for systems that cannot stop

We engineer software, electronics and autonomous control loops

Sensors128
Agents06
StatusNormal
HaClever
02 / 08

Evidence instead of promises

Verifiable projects, publications and competition results.

ENGINEERING ARCHIVECHRONOLOGICAL LEDGER
  • 2018

    Local Hack Day — Organizer

    Organized the first local hackathon for students and developers.

    EVENT
  • 2018

    Junction — 3rd place Blockchain Track

    Third place in the blockchain track with a decentralized solution.

    COMPETITION
  • 2019

    Digital Breakthrough — Winner

    Winner with a project in digital technologies and innovation.

    COMPETITION
  • 2020

    HaClever — Partner of MIET Hackathon

    MIET hackathon partner: organization support and expert participation.

    PARTNERSHIP
  • 2023

    Memristor Modeling — Publication

    IEEE Access publication on memristor modeling with nonlinear drift dynamics.

    PUBLICATIONSOURCE ↗
TEAM RECORD
20

HACKATHONS

participation and organization

15

PRIZE PLACES

as a team

03 / 08

One team — the whole circuit

Full cycle: from research and software to hardware and on-site deployment

01

Software

Intelligent agents, digital twins and industrial telemetry

AI-Agents

Autonomous agents for control and optimization

Industrial Backend

Reliable backend for mission-critical systems

Telemetry

Data collection and processing in real-time with edge-aggregation

Digital Twins

Virtual models for simulation and forecasting system behavior

03

Research

Own research and algorithms for complex industrial tasks

Memristor Computing

Energy-efficient computing on new physical principles

Anomaly Detection

Early stage detection of abnormal operating modes

Causal Analysis

Understanding causes of deviations and decision support

04

Deployment

We implement turnkey solutions and ensure their continuous operation

Commissioning

Commissioning and integration with existing infrastructure

Observability

Full transparency: metrics, logs, tracing, alerts

Secure Updates

Secure updates without downtime and with integrity control

02

Hardware

Reliable hardware platform for collection, processing and control at the device level

  • Embedded Controllers

    Industrial IoT gateways and edge controllers

  • Sensors and Meters

    Pressure, flow, temperature and electrical metering

  • Edge Nodes

    Fanless industrial computers for field deployment

  • Robotics & IoT

    Sensor networks, robotics integration and edge computing

All directions
04 / 08

AI agent for electrical equipment

A multi-agent system continuously analyzes equipment status, coordinates actions and ensures safe execution of decisions under operator control.

Input

Sensor network
PLC / RTU

Analysis / Orchestration

Diagnostics Agent
Data Agent
Supervisor Agent

Action Planning

Alarm Agent
Maintenance Agent
Operator Approval
Equipment Action
Immutable Audit LogAll decisions, data, approvals and actions are tamper-evident and traceable.

Early anomaly detection

Detects deviations early and focuses on real risks.

Explainable recommendations

Shows causes, impact and alternative action scenarios.

Controlled execution

Actions are executed safely, with operator approval and full audit.

05 / 08

From signal to verifiable action

HaClever

01 Observe

sensors and telemetry

▲ Anomaly detected

Root cause:
Insulation degradation

Confidence: 0.92

02 Diagnose

AI identifies anomaly and root cause

Recommendation

Isolate Transformer T-2 due to insulation risk

Risk: High

03 Decide

supervisor recommendation

Confirm critical action

Engineer: A. Petrov ▾
Confirm

04 Approve

engineer confirms critical action

✓ Command executed

Equipment: CB-17

Action: Open

2026-07-20 09:41:03 UTC

Audit log · sealed

05 Act & Learn

equipment command and audit log

Critical actions remain under human control

MISSION // RELIABILITY

PRINCIPLE // VERIFY BEFORE YOU ACT

06 / 08

SELECTED PROJECTS

AI diagnostics for distribution equipment

CHALLENGE

Early defect detection without production downtime

SYSTEM

AI platform for telemetry and equipment behavior analysis

STACK

Edge controller, ML models, SCADA, MQTT, OPC UA

OUTCOME

Continuous monitoring and reduced unplanned outages

ENGINEERING ARCHIVE
  • MAY 2024

    Industrial Telemetry Platform

    SOFTWARE
    SOURCE: GitHubActive
  • MAR 2024

    Edge Controller Prototype

    HARDWARE
    SOURCE: InternalPrototype
  • 2023

    Memristor Modeling Research

    RESEARCH
    SOURCE: IEEE AccessPublished
  • 2020

    MIET Hackathon Partnership

    EVENTS
    SOURCE: MIETCompleted
07 / 08
Pt (TE)80 nma-Si (L3)25 nma-Si (L2)20 nma-Si (L1)30 nmTiN (BE)40 nmSiO₂200 nmSEM (BSE) · Tilt 52°HaClever Research · a-Si stack100 nmI–V · L3Vlog I

Research

We study matter. We build working systems.

Together with MIET and the Kurchatov Institute, we research memristive structures and their integration into AI systems and industrial electronics.

2023

Multilevel a-Si memristive structures for analog computing

DOI ↗

Team / Studio

Dmitry Ichetkin

Dmitry Ichetkin

founder / engineer

Emil Sataev

Emil Sataev

co-founder / AgentOps

Sasha Grigory

Sasha Grigory

head of frontend

research and developmentelectronics and embedded systemsmaterials and processesengineering solutions
08 / 08

Have equipment and a complex task? We'll assemble a verifiable circuit.

Tell us about your task — we'll respond within one business day.

The more details, the more accurate the response.