About
Innovation
meets real-world value
BuilDING SPECIALITIES FOR YOU
Simply put, we care what others don't
We believe in making AI accessible and valuable for everyone.
At One Second AI, our mission is to integrate AI into everyday life in ways that positively transform businesses and communities.
Our passion for developing AI solutions that deliver tangible value keeps us pushing boundaries, challenging the status quo and constantly setting higher standards for ourselves and our clients.
Together, we strive to build a better future, one intelligent solution at a time.
Principles
We Refine What's Possible
AI-First, Human-in-the-Loop
AI handles volume, speed, and repetitive work. Humans handle strategy, relationships, and decisions that matter. Both working together.
Infrastructure, Not Tools
We don't add software to your stack. We rebuild how your operations actually run, systems you own, not subscriptions you rent.
Custom-Built, Not Configured
Every business is different. We design for your process, your team, your data, not force you into a template.
We’re not just building AI; we’re building the future. One Second AI is a passionate team of innovators, strategists, and creators who thrive on tackling the most complex challenges in AI technology. We take pride in every solution we deliver, and we measure success by the tangible impact we create for our clients.
Mediocrity isn’t in our DNA. For us, it’s not just about delivering projects, it’s about crafting exceptional new AI solutions and driving real results. Every client matters, and every project is a promise we keep.
Team
A team united by curiosity, creativity, and code.
Mikael Hellman
CEO
Ahmed Rehan
Lead AI Engineer
Matias Myhrberg
Co-Founder
Nuutti Räisänen
Co-founder
ADVISORS
Advisors with decades of business experience
Jyrki Rehumäki
Advisor
Markus Myhrberg
Advisor
Our Journey
The milestones that
shaped One Second AI
FAQ
Frequently asked questions
CEO @ One Second AI
Mikael Hellman
What does One Second AI actually do?
What does One Second AI actually do?
We help companies move from manual sales and marketing work to AI-first execution. That means designing the right strategy, then building and deploying autonomous AI agents that handle real workflows, like follow-ups, qualification, routing, reporting, and coordination, inside your existing systems. We don’t sell tools. We build systems that run.
Are you a software company or a consultancy?
Are you a software company or a consultancy?
Neither. and intentionally so. We work as an AI execution partner. That means we combine: - strategy - system design - hands-on implementation - continuous optimization You get working AI agents in production, not slides, prompts, or recommendations you have to implement yourself.
What kinds of companies do you work with?
What kinds of companies do you work with?
We typically work with: B2B companies Scaling teams (often €1M–€50M+ revenue) Sales & marketing teams struggling with manual work, slow pipelines, or tool sprawl Our clients usually know something needs to change, they just don’t want risky pilots or disconnected experiments.
Do we need to replace our current tools or systems?
Do we need to replace our current tools or systems?
No. Our AI agents are designed to work with your existing stack, CRM, marketing tools, communication channels, data sources, and internal processes. The goal is not replacement. The goal is orchestration and automation across what you already use.
How is this different from automation tools or AI copilots?
How is this different from automation tools or AI copilots?
Most tools: - automate individual tasks - require constant human input - don’t learn or adapt Our approach: - deploys autonomous agents, not scripts - connects multiple workflows together - operates continuously - improves based on outcomes Think less “automation” and more AI workforce.
Is this safe for our brand, data, and compliance requirements?
Is this safe for our brand, data, and compliance requirements?
Yes, governance is built in from day one. We design agents with: - brand rules - approval logic where needed - clear boundaries on actions -auditability and monitoring This isn’t experimental AI running loose. It’s controlled, production-grade deployment.
Can we start small before committing long term?
Can we start small before committing long term?
Yes, and many teams do. A common starting point is: - an AI assessment - a strategy workshop - or a focused initial deployment This allows you to validate fit and value before scaling.