Intelligence · Service 02 / 11

Data, AI & Automation

Turn data into decisions; add AI where it creates real value.

Data & AI

Scope

What’s included.

Everything below is covered by our cross-service standards: documentation, quality gates, security and a clean handover.

  1. 01 Data pipelines (batch/streaming), warehousing & lakehouse
  2. 02 BI dashboards, experimentation (A/B), attribution modeling
  3. 03 AI assistants (conversational, RAG), retrieval pipelines, embeddings
  4. 04 Recommenders, NLP/CV use cases, agents & automation
  5. 05 MLOps (model registry, CI/CD for models, monitoring, drift detection)

Process

How it runs.

A short, fixed sequence — you always know what comes next.

  1. 01 Use-case & ROI selection
  2. 02 Data assessment & architecture
  3. 03 POC → Pilot → MLOps
  4. 04 Governance & Monitoring

Deliverables & success metrics

What you get — and how we measure it.

Deliverables

  • Data/AI Architecture: Design of the data pipelines and AI models' structure.
  • Feature Store Design: Centralized repository for storing and managing features for machine learning.
  • Notebooks: Interactive documents for data exploration, analysis, and model training.
  • Inference Services: Deployed models for making real-time predictions.
  • Dashboards: Visual tools for monitoring model performance and business metrics.

Success metrics

  • Business KPI Uplift per Use-Case: Improvement in key business metrics due to the AI solution.
  • Model Latency/Accuracy: Time taken for predictions and the accuracy of the model.
  • Cost per Inference: The cost associated with each model inference or prediction.
We don’t just develop software — we own and operate the infrastructure it runs on. That gives our clients control, security and performance most vendors simply can’t offer.
ZB Zenoviy Burychko Founder & CEO, Kernex

Related services

Often paired with.

FAQ

Questions, answered.

  • We design and develop web, mobile, and enterprise applications across industries — from MVPs and SaaS platforms to complex AI-driven ecosystems and secure cloud-based solutions.

  • Yes. We provide a free discovery session to explore your business goals, define the scope, and recommend the best technical approach and architecture.

  • Definitely. We specialize in Integrations, Modernization & Enterprise Platforms, helping you connect legacy systems or transform them with cloud-native technologies.

  • We follow an Agile approach with integrated DevOps, CI/CD pipelines, and SRE/observability practices, ensuring stable releases and short time-to-market.

  • Yes. Our Data, AI & Automation team helps you implement AI models, automate processes, and turn raw data into actionable insights.

  • Absolutely. Our Business Analysis & UX/UI Design teams create clickable prototypes and build-ready plans to test market fit before coding begins.

Free discovery · No commitment

Let’s build
what’s next.

Tell us where you are. We’ll map the fastest, safest path to launch — before you spend a cent.