//js

const matrix = rotate(cube, t);

shader.bind(neonFlux);

await render(nextFrame);

//asm

mov rax, qword [core]

call normalize

syscall

//python

matrix = rotate(cube, t)

glow = normalize(core)

await render(next_frame)

//c

void rotate_cube(mat4 *m, float t) {

vec3 axis = {0.f, 1.f, 0.f};

glm_rotate(m, t, axis);

}

//java

public final class NeonFlux {

public Vec3 bind(Vec3 core) {

return Shader.normalize(core);

}

//go

func neonFlux(core Vec3) error {

glow := Normalize(core)

return shader.Bind(glow)

}

//c++

auto flux = shader.bind(NeonFlux{core});

glDrawArrays(GL_TRIANGLES, 0, 36);

pipeline.flush(nextFrame);

//c#

var glow = Shader.Normalize(core);

await pipeline.RenderAsync(frame);

shader.Bind(glow);

//js

const glow = normalize(core);

gpu.dispatch(pass);

//asm

lea rsi, [rel cube]

xor rcx, rcx

ret

//python

def neon_flux(core: Vec3) -> Vec3:

return shader.bind(core)

//java

float t = clock.delta();

cube.rotateY(t * 16f);

//c#

public sealed class CubePass {

public void Draw(Frame frame) => gpu.Submit(frame);

}

//go

gl.DrawArrays(gl.TRIANGLES, 0, 36)

pipeline.Flush(nextFrame)

//c

glBindTexture(GL_TEXTURE_2D, tex);

glDrawElements(GL_TRIANGLES, n, GL_UNSIGNED_INT, 0);

//c++

std::array<float, 16> mvp = camera.matrix();

program.setUniform("uMVP", mvp);

//bash

#!/usr/bin/env bash

glow=$(normalize "$core")

shader bind --flux "$glow"

//bash

for t in $(seq 0 36); do

render --frame "$t"

done

//js

const matrix = rotate(cube, t);

shader.bind(neonFlux);

await render(nextFrame);

//asm

mov rax, qword [core]

call normalize

syscall

//python

matrix = rotate(cube, t)

glow = normalize(core)

await render(next_frame)

//c

void rotate_cube(mat4 *m, float t) {

vec3 axis = {0.f, 1.f, 0.f};

glm_rotate(m, t, axis);

}

//java

public final class NeonFlux {

public Vec3 bind(Vec3 core) {

return Shader.normalize(core);

}

//go

func neonFlux(core Vec3) error {

glow := Normalize(core)

return shader.Bind(glow)

}

//c++

auto flux = shader.bind(NeonFlux{core});

glDrawArrays(GL_TRIANGLES, 0, 36);

pipeline.flush(nextFrame);

//c#

var glow = Shader.Normalize(core);

await pipeline.RenderAsync(frame);

shader.Bind(glow);

//js

const glow = normalize(core);

gpu.dispatch(pass);

//asm

lea rsi, [rel cube]

xor rcx, rcx

ret

//python

def neon_flux(core: Vec3) -> Vec3:

return shader.bind(core)

//java

float t = clock.delta();

cube.rotateY(t * 16f);

//c#

public sealed class CubePass {

public void Draw(Frame frame) => gpu.Submit(frame);

}

//go

gl.DrawArrays(gl.TRIANGLES, 0, 36)

pipeline.Flush(nextFrame)

//c

glBindTexture(GL_TEXTURE_2D, tex);

glDrawElements(GL_TRIANGLES, n, GL_UNSIGNED_INT, 0);

//c++

std::array<float, 16> mvp = camera.matrix();

program.setUniform("uMVP", mvp);

//bash

#!/usr/bin/env bash

glow=$(normalize "$core")

shader bind --flux "$glow"

//bash

for t in $(seq 0 36); do

render --frame "$t"

done

AI • AUTOMATION • DIGITAL SYSTEMS

We automate business processes with AI, CRM, and custom web systems

We help companies cut manual work, speed up request handling, and scale digital systems without losing control.

SOLUTIONS FOR BUSINESS

Pick a problem - we'll match the technology.

We help solve specific problems: automation, digital systems, integrations, and AI implementation.

Automate processes

Cut manual operations and speed up request handling with AI and automated workflows.

Learn more

Build a digital system

We build CRMs, portals, and web systems that run without manual errors and scale with growth.

Learn more

Integrate services

We connect CRM, ERP, and third-party services into a single ecosystem without duplicated data or manual syncing.

Learn more

Implement AI

We apply AI for analytics, classification, forecasting, and automated decision-making.

Learn more

CASE STUDIES

Results we've already delivered.

Every case starts with a problem and ends with a measurable business outcome.

CRM process automation

Company: RetailChain • Problem: manual request handling and data duplication across departments.

Manual request handling took 2-3 days.

Data duplication caused errors and delays.

Built an automated flow for request intake and routing.

Integrated the CRM with internal services without manual syncing.

−60% manual request handling.

100% of requests land in the CRM automatically.

AI analytics implementation

Company: LogiFlow • Problem: manual data analysis and slow response times.

Analysis took 20 minutes per request.

No automatic data classification.

Built an AI model for classification and forecasting.

Integrated the model with the existing analytics system.

Response time dropped from 20 to 4 minutes.

Forecast accuracy reached 92%.

Service integration

Company: MedTech • Problem: siloed services and manual data syncing.

Data was duplicated across CRM, ERP, and the web portal.

Sync was done manually twice a day.

Built a single integration bus for all services.

Set up real-time automatic synchronization.

−80% manual syncing.

Data became unified and up to date across all services.

HOW WE WORK

6 steps from analysis to launch.

We structure the work so every stage is clear, measurable, and free of surprises.

Analysis

We understand the task, goals, and constraints.

Audit

We map the infrastructure and dependencies.

Design

We design the architecture and roadmap.

Development

We build the system and test automation.

Launch

We deploy and configure in production.

Optimization

We support and improve the system after launch.

TRUST

Trusted by companies that value results.

Trusted by

RetailChainLogiFlowMedTechFinOpsEcoLog

Results

−60% manual operations

+92% forecast accuracy

100% automated request intake

“KORVENIQ helped us move from manual processes to automated workflows. The results were measurable within 3 months of launch.”

Anna KuznetsovaDirector of Operations • RetailChain

FAQ

Answers to the most common questions.

From 2 weeks (audit) to 12 weeks (development), depending on complexity and the amount of integration work.

We work in fixed stages. After the analysis, we provide a detailed scope and a fixed implementation cost.

We follow a defined intake protocol and use secure communication channels. Client data stays confidential.

Yes. We integrate CRM, ERP, API services, and internal systems, tailoring each integration individually.

WHAT DO YOU NEED TO SOLVE?

Pick a problem - we'll suggest a solution.

Automate processes

Cut manual operations and speed up request handling.

Implement AI

Apply AI for analytics, classification, and forecasting.

Build a digital system

We'll build CRMs, portals, and web systems for your business.

Integrate services

We'll connect CRM, ERP, and third-party services into one ecosystem.

Not sure - need an audit

We'll analyze your processes and suggest where to start.

Ready to get started?

Leave a request - we'll get back to you within 24 hours with a technical proposal.