Autonomous AI agents operating an enterprise data center
Enterprise-grade · Built to scale
AI Development

AI systems and agents, built to ship and run at scale.

We build the systems the strategy calls for: agentic platforms, custom AI and ML embedded in real products and processes, and the infrastructure to run them in production. Shipped fast, by a team that has done it before.

30+

AI / ML systems in production

250+

AI agents live in production

100+

Workflows automated

Enterprise

Grade security & scale

What we do

Custom-made AI software at every level of complexity — from feasibility study to production deployment.

We design and train AI and ML models in-house, and develop AI-powered software end to end — not prototypes that stall, but systems that go live and stay live inside real products and processes.

Everything is built for high scale with enterprise security, redundancy and future growth — architected so what works in the pilot keeps working when the volume, the data and the demands grow.

An AI coding assistant reviewing a developer's code in real time Human + agent
Built into the workflow

Agents that work alongside your engineers.

We build AI agents that sit inside the real workflow — reviewing code, catching issues, drafting and testing changes — with people kept firmly in control. Not a demo, but a teammate that lifts throughput on the work your teams already do.

  • Agents wired into your existing tools and repositories.
  • Human-in-the-loop by design, with guardrails and review.
  • Measured against real throughput, not novelty.
Capabilities

What we build.

From a single agent to a full multi-agent platform, wired into your core systems.

01

AI agents for companies

Infrastructure to develop and run enterprise AI agents. We specialize in multi-agent systems, including orchestration & governance, agent management, agentic workflows and organizational automations. Designed enterprise-grade, for high volumes and real-time performance.

02

AI systems development

Custom-made AI software at any complexity. We take you from feasibility study, through modular development and model integration, to production deployment, with enterprise security, redundancy and future scalability.

03

Generative AI training & tuning

Fine-tuning and optimization (PEFT/LoRA) for language (LLMs/SLMs), voice (TTS/STT) and image models, with hybrid cloud / on-premise deployment for data privacy and tight fit to your domain.

04

ML model training & deployment

Classic machine learning in an end-to-end MLOps architecture: data & feature engineering, training and validation for predictive analytics and anomaly detection, through production deployment and core-system integration.

05

Data Science services

Managing the full data lifecycle: complex ETL/ELT, data cleansing and statistical analysis (EDA), turning raw data into a unified, high-quality single source of truth ready for BI and model training.

06

MLOps & LLMOps

Dedicated DevOps infrastructure for AI: monitoring, versioning and control so models stay stable and accurate over time and do not drift.

07

Interfaces & integration

Deep integration between core systems (CRM, ERP, legacy) and modern AI engines, turning manual, resource-heavy processes into continuous automated workflows.

An engineer and an AI agent improving an API's performance together In production
From prototype to production

Wired into the systems you already run.

The hard part isn't a clever demo — it's making AI reliable inside core systems. We take solutions from prototype to production: integrated with your data and APIs, monitored, and built to hold up under real load.

  • Integrated with your APIs, data and core systems.
  • Secure-by-design, with redundancy and monitoring.
  • Built to scale as volume and demands grow.
How we build

A repeatable path to production.

01 / Scope

Feasibility & scope

We validate the use case, data and ROI before a line of code.

02 / Architect

Architect

Scalable, secure-by-design architecture matched to your workloads.

03 / Build

Build & train

Modular development, model training and tuning, wired into core systems.

04 / Operate

Deploy & operate

Production deployment with MLOps/LLMOps monitoring so it stays accurate.

The Kuzmanko stand at an industry event — AI implementation driven by results Shipped, not slideware
Why teams trust the build

Engineers who ship, backed by operators who've run the business.

Dozens of AI engineers and data specialists, with 100+ projects shipped and a track record of building for enterprises — people who deliver production systems for a living, not slide decks about them.

  • 250+ agents and 30+ AI/ML systems in production.
  • Hybrid cloud / on-prem for data privacy.
  • Integrated into CRM, ERP and legacy core systems.
Questions, answered

AI development, in plain terms.

What does Kuzmanko's AI development service include?
Agentic systems and AI agents, custom AI/ML software, generative-model training and tuning, data science, MLOps/LLMOps and deep integration into core systems — from feasibility study to production.
Can you build multi-agent systems for enterprises?
Yes — multi-agent platforms with orchestration and governance, agent management and agentic workflows, designed enterprise-grade for high volume and real-time performance.
Do you train custom ML and LLM models?
Yes — classic ML for prediction and anomaly detection in an end-to-end MLOps pipeline, plus LLM/SLM fine-tuning (PEFT/LoRA), RAG and voice/image models, with hybrid cloud or on-prem deployment.
What are MLOps and LLMOps, and do you provide them?
Dedicated DevOps for AI — monitoring, versioning and control that keep models stable, accurate and free of drift over time. Yes, we build and operate them for companies.
Can AI integrate with our CRM, ERP and legacy systems?
Yes — deep integration turns manual, resource-heavy processes into continuous automated workflows across CRM, ERP and legacy core systems. See also our AI consulting and AI training services.

Have a system that needs to ship?

Book a 30-minute briefing. We'll pressure-test the use case, propose an architecture and a path to production, and tell you honestly whether we're the right build partner.