AI & Machine Learning
We bridge production software with advanced AI models. Our team builds Retrieval-Augmented Generation (RAG) pipelines over proprietary vector databases, fine-tunes specialized domain models (e.g. legal, relationship wellbeing), and integrates speech-to-text and predictive analytics.
What you get with
AI & Machine Learning
From kickoff to production in four steps
Discover
A discovery sprint to scope the problem, audit existing systems, and agree on the metric that defines success.
Design
Architecture, data models, and UI/UX decisions made before code so the build sprint has no open questions.
Build
A focused build sprint shipping working software in weekly increments, not one opaque delivery at the end.
Ship
A supervised rollout with your team, plus monitoring and drift checks so day one in production isn't a leap of faith.
Live Projects Built Under AI & Machine Learning
4 production applications shipped for clients worldwide.
Relatable: For Couples
Relatable helps couples navigate conflicts in a calm and constructive way using guided prompts, timers, and AI insights. Partners can share perspectives, understand each other better, and validate feelings to grow happier together.
ULegal AI
ULegal AI bridges precision and efficiency for legal teams. Powered by Claude 3.5 Sonnet over a Qdrant vector store of US case law, it reads contracts, translates legal jargon, and speeds up recurring legal workflows.
PocketWatch
PocketWatch provides plant-floor personnel with process visualization for SPC (Statistical Process Control) and OEE (Overall Equipment Efficiency). It connects manual inspection stations, line-side PCs, and PLCs into a cloud platform.
Popup.lol
Popup.lol connects physical smart stands and NFC stickers directly to interactive digital touchpoints. Venues use Popup to collect Google reviews, host contactless menus, take online bookings, and deploy 24/7 AI assistants.