Proven solutions for real-world problems.

QuantaCheck scans code, dependencies and TLS endpoints for quantum-vulnerable cryptography — the RSA and ECC that a future quantum computer will break — so teams can find their exposure before attackers, and regulators, do.

Each scan produces a standards-compliant CycloneDX CBOM (a cryptography bill of materials) that inventories every algorithm, key size and certificate in use, turning a vague “are we post-quantum ready?” question into a concrete, auditable list.

On top of the inventory, QuantaCheck generates a prioritized migration plan toward post-quantum algorithms, so security and engineering teams know exactly what to rotate first and can track progress over time.

AI FreeMeet uses AI to match people by real compatibility and then helps them arrange genuine, real-life meetings — moving past endless swiping toward actually meeting the right people.

The app is free, safe and built for authentic connections: matching signals feed a recommendation engine, while safety and moderation features protect users as conversations move from the app into the real world.

A cross-platform mobile client is backed by a real-time messaging and matching service, so introductions, chat and meeting arrangements stay fast and reliable on both iOS and Android.

NEXTMerchant is a store-builder platform for ambitious merchants: create a store, add products and accept your first payment in under fifteen minutes, with a hosted storefront, admin panel and everything needed to launch and grow an online store.

Under the hood it runs on a DB-per-tenant microservice backend — a thin gateway fronts independent catalog, cms, orders, cart and payment services that talk over a message bus — so each merchant’s data is isolated and every domain scales on its own.

Merchants get ready-to-use, customisable storefront themes and Stripe-backed checkout and billing, while a full REST API, webhooks and SDKs let teams integrate NEXTMerchant into their stack or build their own storefront experience.

Prodline turns a single AI assistant into a team: agents take on roles — developer, reviewer, writer, QA, analyst — claim tasks from a shared backlog, hand work to each other through reviews and never collide on the same task.

Every step of the line is observable and gated. A live canvas shows where each task stands and how loaded each role is, risky changes wait at a human approval gate, and nothing is delivered until the automated checks are green.

Model choice and spend stay under control: bring your own key for frontier models or run platform-hosted open-weight ones, route the hard work to the smartest model and the bulk to the cheapest, with every token metered and hard caps per agent.