Secure, Revenue-Relevant AI for High-Stakes Teams
For teams where poor decisions, operational failure, or data exposure have material consequences. We turn AI opportunities tied to revenue, cost, or decision quality into controlled systems with agreed data boundaries and accountable owners.
High-stakes contexts:
Regulated Decisions Sensitive Knowledge & IP Operational Systems Financial Infrastructure Partner Delivery
Organisations Represented in Published Work and Feedback
These names appear in published project descriptions or attributed feedback. Context varies by item.
How engagements move
From opportunity to governed operation
Enter at the stage that matches your current decision. If priorities or material risks are unclear, the AI Opportunity Audit is a useful starting point—not a mandatory gateway.
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Stage 1 of 4: Prioritise
Choose a commercially relevant opportunity and define its constraints before committing to a build.
View the AI Opportunity Audit -
Stage 2 of 4: Prove
Test feasibility, workflow fit, and success criteria against real operating constraints.
View Rapid Prototyping -
Stage 3 of 4: Deploy
Put a controlled system into the workflow with agreed ownership, data boundaries, and review.
Explore deployment services Stage 4 of 4: Govern & Scale
Measure what works, manage risk, and expand only where the evidence supports it.
View AI Strategy & Leadership
Your Data Is Your Competitive Edge—Build AI Around It
Public AI tools can expose sensitive business information to providers and systems outside your control. We design AI deployments around agreed data boundaries, access controls, and approved providers—helping you use AI while reducing unnecessary exposure.
- ✓Agreed Data Boundaries: Private AI architectures configured around where your information may be stored, processed, and shared.
- ✓Security & Compliance Support: AI environments designed with access controls, auditability, and applicable industry requirements in mind.
- ✓Reviewable Outputs: Where the chosen system supports it, we add evaluation, logging, and human-review controls to make outputs easier to inspect.
Why This Matters for Your Bottom Line
The companies building durable AI advantages are not just adopting new tools. They are deciding where sensitive knowledge may flow and applying controls that fit the use case. We help design those boundaries into the deployment.
Specialist Delivery Paths
Choose the technical path that fits the validated need, operating environment, and ownership model.
Organizational Services
Selected AI and Engineering Work
Published project descriptions across complex operating environments.
Food Quality Evaluation with AI
A computer-vision prototype for meal tracking and quality-review workflows
See Our Work
Detecting Bot Activity in Crypto Blockchains
Automated anomaly detection for investigating suspicious blockchain wallet activity
See Our Work
Building an Algorithmic Hedge Fund: AI-Driven Trading Infrastructure
Cloud infrastructure, monitoring, and research tooling for an algorithmic trading operation
See Our WorkPublished Feedback
Feedback on working with Sarunas and 1D.works
"Together we have generated sparkling new automation tech that is key to my company’s bottom line, and we have fun doing it."
William Lyons
CEO, Eekual
"Sarunas’ work for us was exceptional, highly professional, on time and on budget. I would highly recommend him to anyone."
Arthur Davis
Founder & CEO, Altimist
"[Sarunas] approaches projects with a collaborative mindset, making him an excellent partner whether you have a specific goal or are exploring potential opportunities. His dedication to problem-solving ensures a rewarding and successful experience."
Skirmantas Januškas
CEO, DappRadar
"[Sarunas] is an expert in using AI to boost efficiency. He is great at creating AI-powered solutions that make a real difference. His passion for innovation and helping clients succeed sets him apart."
Vilius Jurgelevičius
Head of DCT department, BMK
Get in touch
Tell us what is at stake
Tell us the workflow, decision, or data constraint behind the project. We will review it and suggest the most sensible next step: audit, prototype, or implementation.