Technological compatibility

Broad technology expertise, backed by the commitment of experienced professionals

Luoto Company brings together committed and experienced professionals in the industry

Alongside software development and architectures, artificial intelligence and data have been part of our core expertise since 2017. With our extensive technology and project experience, combined with continuous development of our expertise, we efficiently solve our clients’ business-critical problems.

When generative AI transitioned from research into practice, we were already building in this space, and in 2022 we made it a strategic focus area. This led to the creation of Luoto AI Lab, which focuses both on transforming software development and on delivering AI solutions.

Through Luoto AI Lab, we stay genuinely up to date in this rapidly evolving field: we continuously monitor developments in AI, test and validate new approaches before recommending them, and maintain shared codebases, models, and testing platforms to support our team and our clients.

Most of our experts leverage AI extensively in their day-to-day software development work, and we have over 30 AI solutions in production use.

Software development

Solving business-critical problems for our clients through software development, architectures, data, and AI is at the core of our expertise. In addition, Luoto AI Lab supports both our experts and our clients in the transformation of software development.

We have experience ranging from startups to large organizations. With our help, you can find and build the best solutions for any environment.

Custom software
Architecture and infrastructure
Data-driven systems
AI tools, ways of working, and best practices for development teams
Coaching and sparring for client teams in agentic development
A comprehensive agentic development pipeline: agents in requirements, architecture, implementation, reviews, QA, and DevOps

Architectures

Software and AI architecture form the foundation for scalable, maintainable, secure, and reliable digital solutions by integrating system structures, data, models, and infrastructure. They enable effective use of data, intelligent automation, and agile business development in the rapidly evolving digital landscape.

We have been developing architectures for a long time, and AI architectures since early 2023. In our experience, architecture is not a one-off project — it is continuous work that evolves alongside large language models, agents, and use cases.

Software architecture includes, among other things:

Designing the overall system architecture (components, services, and interfaces)
Selecting technologies and architectural patterns (e.g. microservices, monolith, event-driven)
Ensuring integrations, data flows, scalability, security, and maintainability
Defining technical principles and managing technical debt
Translating business needs into architectural solutions
Supporting development teams, conducting reviews, and building prototypes when needed

AI architecture includes, among other things:

Prompt management and corporate system prompt — consistent AI behaviour across all systems
Unified data access and IAM — structured, secure data access shared across AI solutions
Guardrails and LLM governance — version management, fallback solutions, output control
Agentic frameworks — MCP, A2A, Semantic Kernel and others, enabling agent-to-agent interaction
Retrieval and grounding patterns — RAG and similar approaches for connecting AI to organisational data
CI/CD for AI — model switching and upgrade pipelines that keep transitions manageable

Read our thinking on AI architecture →

Solution deliveries

We have delivered software solution delivery engagements across multiple industries for a long time, and our experience also extensively covers GenAI solutions in sectors such as energy, finance, telecommunications, healthcare, and media, including search solutions, AI assistants, content generation, and BI systems. Solution delivery is a holistic process in which business needs are transformed into maintainable and scalable production systems, from architecture and implementation to deployment and continuous development.

Our goal is to ensure that solutions deliver measurable business value, scale effectively, and remain sustainable in long-term production use — rather than staying as mere demos. A demo can often be made to look functional quite easily, but a production system requires continuous maintainability, ongoing development, and reliability over months and years.

Building a production-ready GenAI solution requires much more than powerful language models. It demands a comprehensive architecture, well-functioning integrations, managed lifecycle, and codebases and systems that evolve alongside advancing technology.

Software solutions:

Agentic software development — AI agents integrated into customer-facing products and internal systems
Knowledge platforms, AI assistants, content generation and BI solutions
Customer-facing and enterprise GenAI applications across multiple sectors

GenAI solutions:

Enterprise and customer-facing GenAI applications across multiple industries
Agentic application development: AI agents integrated into systems and processes
Intelligent search solutions, AI assistants, content generation, and BI solutions

AI Strategy

Our work in this area spans executive-level engagements across energy, finance, telecom, healthcare, retail, transport and media.

As AI moves from isolated experiments toward a core part of how organisations operate, the questions become harder: where to invest, how to govern, how to build capability that compounds rather than fragments. We work with leadership teams on these questions — developing strategies that connect directly to architecture decisions and delivery, rather than remaining at the level of principles.

AI strategy and governance frameworks
Executive-level engagement across multiple sectors
AI readiness assessment and roadmap development

Data & ML

AI solutions are only as good as the data beneath them. Our data and ML work covers structuring and enriching large-scale product data, building natural language interfaces for business intelligence, and migrating critical data platforms.

These are production implementations, not prototypes.

GenAI data enrichment — structuring and enriching product and operational data at scale
Natural language BI and data access — Text-to-SQL and AI-driven reporting
Data platform migration and modernisation

Rapid idea testing

Our AI Lab process covers this journey: from initial sparring and use case assessment, through rapid POC on our own infrastructure, to production delivery and ongoing DevOps.

We find most organisations have more AI ideas than capacity to evaluate and deliver them well. Moving from a concept to something that runs reliably in production requires a structured process, a credible validation step, and the architectural thinking to make the result maintainable.

Business sparring — use case identification, feasibility assessment and approach selection
Rapid POC and validation — own AI Lab infrastructure for quick, credible experimentation
Production delivery and DevOps — full lifecycle from proof to live system

Legacy modernisation

Our work covers exotic and underdocumented technology stacks, COBOL systems and large-scale business platforms — combining AI-assisted analysis and documentation with a structured conversion pipeline that keeps humans in the loop where it matters.

Legacy systems have long represented one of the most stubborn problems in enterprise IT — too costly and risky to replace, too limiting to build on. AI has meaningfully changed the economics: automated code analysis, AI-generated test coverage and agentic conversion pipelines now make modernisation feasible in cases where it previously was not.

AI-assisted codebase analysis and documentation — including rare and exotic technology stacks
AI-generated test coverage and output verification
Agentic code conversion with human-in-the-loop oversight

Customer experience in figures

94

Latest NPS

100%

Latest CSAT

4.9

Latest CES

Want to hear more about our projects?

It goes without saying that our customers take the credit for their digital successes – and we want to keep it that way. At the same time, references are also more closely linked to the professionals than the company, so with the permission of our customers we are happy to tell you in our meeting about the latest, team-specific references that might interest you.

So far in its history, Luoto Company has served more than 35 satisfied customers in various industries. In addition, all our professionals have an average of 15 years of wide-ranging expertise in creating high-quality digital solutions in various fields and for a diverse range of customers.