We turn complex ideas into reliable AI-powered software—built fast, built right, and built to scale.
Operating since 2024, we started with a simple premise: make AI actually useful in production. Too many “demos” never survive real users, real data, and real constraints. We set out to close that gap by pairing solid engineering with a product mindset—shipping fast, measuring impact, and iterating with care.
Our core is a small, hands-on team led by Franchuk Oleksandr, a Full-Stack AI Developer who enjoys taking projects from zero to one: designing the architecture, building the backend and front end, wiring data pipelines, and deploying models that serve real business outcomes. Since launch, we’ve delivered work across LLM apps, agentic workflows, automation, data enrichment, and modern web platforms—think robust APIs, React dashboards, retrieval pipelines, Playwright-based task automation, and cloud-native deployments.
What defines our brand:
Clarity first. We translate ideas into crisp requirements and success metrics.
Quality under pressure. Small team, senior ownership, weekly demos, no black boxes.
Security and reliability. Principled data handling, least-privilege access, and observable systems.
Pragmatic AI. We choose the right tool—LLMs, classical ML, or plain code—based on ROI, not hype.
Our mission is to help teams move from experimentation to dependable, scalable AI-powered products that customers love.
Founded: 2024
Meet the Team
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Franchuk Oleksandr
Fullstack AI Developer
Work Terms
Hours & Availability: Weekdays, Pacific Time. Flexible windows for launches and incident response by arrangement.
Communication: We keep a single shared channel (Slack/Teams) and a brief, regular cadence—status notes, quick standups if useful, and weekly demos. Meetings are purposeful and short.
Process:
Discovery & scoping workshop
Written plan with milestones and success criteria
Iterative delivery with visible progress (tickets, PRs, and changelogs)
Weekly demo & feedback loop
Launch, monitoring, and handover
Collaboration Stack: GitHub/GitLab, CI/CD, Docker, cloud (AWS/GCP/Azure), Infra-as-Code where appropriate, and lightweight PM (Jira/Trello/Notion).
Engineering Standards: Clean APIs, tests where it matters, linting/formatting, actionable docs, and observability (logs/metrics/traces) for smooth ops.
Security & Privacy: NDA-friendly, least-privilege access, secrets management, and data minimization by default.
Ownership: You own the deliverables and IP upon project handoff.
Post-Launch: Optional maintenance and feature iterations; we provide sensible SLAs for support if needed.