SOFTWARE & AI

Software Development & AI Solutions

Custom AI/ML products and software engineering for business transformation.

We develop products from Discovery to production rollout: we analyze business processes, design architecture, create interfaces, train models, and implement them in existing systems.

Team Haink is a senior engineers and data scientists with experience launching solutions for banks, retail, healthcare, and government sectors.

What We Build

We build AI products and software solutions for your business task — from MVP to scalable enterprise solution.

Chatbots & LLM Assistants

GPT‑based assistants for support, internal knowledge access, and code moderation.

Retail AI

Review analysis, personalized recommendations, product categorization, and dynamic pricing.

Document Intelligence

Auto‑classification, OCR, contract summarization, and document extraction.

Predictive Systems

Customer scoring, demand forecasting, sales prediction, churn analysis.

Healthcare AI

Survival models, treatment planning, clinical document analysis, synthetic patient data.

Cybersecurity AI

Bot detection in social media, CAPTCHA solvers, anomaly and fraud detection.

Industries We Serve

We create industry-specific AI systems, considering the specific data, processes, and regulatory requirements.

Retail and E‑commerce platforms

Fintech and small financial institutions

Healthcare providers and medtech startups

Cybersecurity service providers

Automotive and industrial process companies

Public and government organizations

What Sets Us Apart

Senior‑only development team — direct access to top‑level expertise.

Experience in production‑grade systems for banks, enterprise healthcare, logistics.

Custom models, tuned to your use‑case, not general‑purpose black‑box systems.

Secure on‑prem and cloud‑agnostic architecture.

Tech Stack & Capabilities

NLP & LLMs

NLP и LLM: GPT-4, GPT-4o, Claude, Llama, Mistral, LangChain, Haystack.

Predictive Models

Predictive Models: XGBoost, CatBoost, LightGBM, Prophet, Darts, Scikit-learn.

Vision & Audio Models

Models for Vision and Audio: CNN, VAE, autoencoders, OpenCV.

Recommendation Systems

Recommendation systems: Collaborative filtering, BERT4Rec, GPT4Rec.

Infrastructure & MLOps

Infrastructure and MLOps: Docker, Kubernetes, Helm, GitOps, MLflow, DVC, Airflow.

Deployment

Deployment: AWS (SageMaker), GCP (Vertex AI), Azure, local/on-prem solutions.

How We Work

Business-oriented and agile approach: we implement solutions that bring measurable results.

Discovery & scoping session

We define business goals, data sources, KPIs, and the team.

MVP or Proof of Concept

We create a prototype in 2–4 weeks, test hypotheses, and calculate ROI.

Seamless deployment

We integrate the solution into CRM, ERP, e-commerce, and other system environments.

Post-deployment support

Monitoring, A/B tests, model retraining, and product development.