Design, prototyping, and creation of systems, apps, and products with applied AI.

The best products start with the right decisions — architecture, tech stack, AI adoption strategy — locked in before a single screen is built. We work alongside founders, CTOs, and product leads to make those calls, then move straight into a working prototype on whichever platform fits the product best — a web app, native iOS or Android, a cross-platform stack such as Compose Multiplatform, or something else entirely — validated with real users in weeks, not months. Figma AI and Stitch turn decisions into layouts and high-fidelity UI fast; Claude Code and Antigravity carry that into production code on top of whatever stack we land on, backed by Supabase or Firebase, with CI/CD from day one. You leave with an architecture recommendation, a stack decision, and a market-ready MVP or design system — one team, not a design agency plus a dev shop plus months of handoff.

Modernization and migration of systems, apps, and products with applied AI.

• Native apps: modernize or consolidate fragmented Android and iOS codebases — stay fully native, or unify into one Kotlin Multiplatform codebase.
• Cross-platform: migrate monoliths, desktop apps, and legacy systems onto modern, cloud-native platforms — wherever your product runs.
• Backend & serverless: move monolithic backends to serverless architectures or modern native backends, specialized in Rust for performance-critical services and C/C++ rewrites.
• Security: close the gaps legacy systems accumulate — unpatched dependencies, outdated auth, unencrypted data — as part of the migration.
• Zero downtime: every migration runs in phases with rollback safety and QA validation before it reaches production.
• AI-native from day one: we wire AI capabilities directly into your modernized system as we go.

Creation and migration of data with applied AI.

Automated Python and AI pipelines that source, structure, clean, migrate, and continuously audit data from any system — including running directly against a client's own web pages when no API exists — with jobs that run for days straight when full coverage requires it. We work across SQL and other database systems — Postgres, MySQL, MongoDB, Firestore — designing schemas, provisioning the cloud infrastructure to host them, and building the REST or GraphQL APIs that expose that data to your other tools. We reverse-engineer undocumented systems, crawl at scale with resumable checkpoints, and migrate scattered records or legacy databases into structured, queryable, citable datasets. The same discipline behind Papasar's university directory and Leyreal's legal corpus — proven at a scale of tens of thousands of documents, with a standing rigor register that keeps data accurate as source systems change over time. We don't claim ownership of any data we migrate or create — you get the finished pipeline, database, and documentation as a deliverable you fully own and can maintain in-house.