Practitioners for production AI, ML and automation.
Kolomolo helps enterprise teams move AI, ML and automation from pilot to production. We combine strategy, engineering, anomaly detection, platform operations and managed delivery so customers can build services that work inside real systems, workflows and operating constraints.
Built for the hard middle of AI delivery.
AI programmes rarely fail because ambition is missing. They slow down when work moves from strategy to architecture, from prototype to integration, or from launch to operation.
Kolomolo is built for that hard middle: the practical work of turning AI, ML and automation into services that can be used, monitored, improved and handed over.
That means working across business priorities, cloud estates, data platforms, operational workflows, system integrations, sensors, controls and the teams responsible for keeping services running.
Audited financial summary, customer reference list and insurance certificates available under NDA via procurement@kolomolo.com.
How we work.
Kolomolo connects the disciplines that often get split across separate handovers. Strategy, automation, predictive AI, engineering and operation stay close to the workload from assessment to production.
We help customers decide which workloads are worth moving, what needs to be prepared and how the work should be sequenced.
We build the platform, integration, monitoring and MLOps or LLMOps foundations needed for production services.
We use classical ML, statistical methods, anomaly detection, forecasting, automation and modern AI depending on the operational problem.
Kolomolo can stay after go-live to monitor, improve and operate services until the customer is ready to take ownership.
The work we are known for.
Kolomolo's work sits where models, systems, workflows and operations meet. The exact technology depends on the problem, but the goal is consistent: production services that teams can use and operate.
AI services, agents and workflows designed to run inside enterprise systems, permissions, review processes and operating models.
ML and AI models that turn sensor, telemetry and operational data into useful signals for assets, networks, production environments and distributed operations.
Agentic workflows, document processing, service desk support and human-in-the-loop processes that improve operational throughput.
MLOps, LLMOps, monitoring, integration, cost visibility and managed operation for workloads that need to stay reliable after launch.
Teams in Kraków and Stockholm.
Kolomolo delivery teams operate from Kraków and Stockholm, supporting enterprise customers across European and global environments.
Our work is shaped around the customer's existing cloud estate, data platforms, systems, operating model and production constraints.
Where customers need support after launch, Kolomolo can remain involved through monitoring, improvement routines and managed operation until handover is ready.
Built by practitioners.
Two decades shipping production systems across telco, manufacturing and regulated banking. Set the thesis the firm is built on: deliver and operate AI, ML and automation services, do not sell platforms. Held senior delivery roles before founding the firm, including programme leadership for tier-one carriers and supervised banks. Active sponsor on every flagship engagement and on the on-call rota for incident escalation.
Owns engagement architecture across knowledge engineering, agentic IT and service operations, and computer vision programmes. Fifteen years architecting and operating regulated data platforms in financial services and telco. Personally scopes every tier-one engagement and stays accountable through go-live and steady-state operations. Sets the certification and on-call standards across the delivery org and chairs the internal architecture council. Direct line for any procurement reference call within a five-working-day SLA.
Custom-sensor design and ATEX/IECEx-rated hardware for hazardous-zone industrial deployments. Multi-year sensor lifetimes proven in salt, ammonia and sub-zero environments where commercial off-the-shelf hardware fails inside a season. Owns the full hardware lifecycle from PCB layout and enclosure design through certification, manufacturing handoff and fleet operations. Worldwide installed base under continuous management. Background in industrial electronics and embedded firmware for safety-critical systems in oil and gas, chemicals and cold chain.
Runs the infrastructure and platform operations practice. Background in carrier-grade infrastructure and regulated cloud environments for European telcos and public-sector tenants. Sets the residency, access and operational model used by customers whose workloads need specific jurisdictional or contractual arrangements. Direct line for any infrastructure due-diligence review.
Outside perspective at the top.
Two-decade enterprise IT leader from a tier-one European insurer. Advises on procurement posture, vendor-vetting standards and how serious enterprise buyers evaluate AI delivery partners against established systems integrators.
Chief Data and Analytics Officer for a globally significant European bank. Advises on data governance, model risk management and the operating model for AI inside supervised institutions.
Group CTO for a European industrial manufacturer with a global footprint. Advises on edge AI, hazardous-zone hardware and the operating realities of running fleets of industrial AI systems across regulated jurisdictions.
Eight years of compounding.
- 2018Founded in Kraków
Practitioner-led delivery firm incorporated. First enterprise telco engagement signed in Q4.
- 2019First worldwide edge deployment
Stood up the operating model for industrial edge fleets under continuous management.
- 2020Stockholm office opens
Nordic delivery presence established to serve Swedish and broader EEA customers.
- 2021Platform operations practice launched
MLOps, monitoring and managed operations capability established for production workloads.
- 2022AWS Partner Network member
Formalised partnership for delivery on customers' existing AWS estates, alongside Azure, GCP and OCI.
- 2023Hazardous-zone hardware line
ATEX/IECEx-rated sensor platform shipped into oil and gas and cold-chain deployments.
- 2024Agentic operations practice
Formal practice launched for agentic IT and service operations across regulated customers.
- 2025Top 100 Polish IT Firms - 14th by revenue growth
Computerworld Polska ranking. Audited financial summary available under NDA.
- 202619x revenue growth FY22-26
Compounding delivery model, strong customer retention, median engagement length 26 months.
- 2026ISO 42001 implementation
AI management system implementation in progress alongside existing ISO 27001 certification.
Principles that guide the work.
A demo is useful only if there is a path to ownership, monitoring, improvement and operation.
Not every problem needs generative AI. We choose the mix of ML, AI, automation, rules and platform work that fits the operational problem.
AI services should fit the cloud, systems, data, procurement and operating model the customer actually has.
Automation should improve throughput and signal quality while keeping review, escalation and decision rights clear.
Kolomolo can remain involved after go-live to operate, tune and hand over services responsibly.
Teams in Kraków and Stockholm
Kolomolo delivery teams operate from Kraków and Stockholm, supporting enterprise customers across European and global environments. Our work is shaped around the customer's existing cloud estate, data platforms, systems, operating model and production constraints.
Commitments and disclosures.
Net-zero target 2030. Baselined per GHG Protocol.
100% renewable electricity across owned facilities by 2030.
Supplier engagement programme; reduction target 2030.
40% women in engineering, 40% in leadership. Annual disclosure.
Want to understand how Kolomolo would approach your workload?
Talk to a practitioner about the AI, ML, automation, anomaly detection or platform work your team wants to move into production.