Sharp positioning, scope, and a roadmap tied to real market pull.
Systems designed around LLMs, agents, and data from day one — orchestrated with the same approach we use to combine fast-execution and deep-reasoning AI internally.
Production-grade build across frontend, backend, and infra.
A launch-ready first version, fast — agent-supported delivery means faster timelines without cutting the wrong corners.
Help getting the first users, feedback loops, and traction.
We stay through iteration, scale, and the next growth layer — including AI agent oversight and governance as your systems take on more autonomy.
Problem
Care teams across assisted living, home care, home health, and dementia support were working in fragmented systems — scheduling in one tool, care plans in another, documentation and billing somewhere else. Information got lost between shifts and care settings, leaving caregivers guessing and leadership without real visibility.
What We Built
InformedCare360 has grown from a single ALF tool into a full Care Intelligence Platform — Informed ALF, Informed Home Care, Informed Home Health, Nurse Registry, and a Dementia Nav...
Visit Project →Problem
Podcasters spend more time on production logistics — transcription, clipping, show notes, multi-platform publishing — than on the content itself, and most tools only handle one piece of that workflow.
What We Built
PodcastInc.ai is an AI co-pilot that turns a single recording into a finished, distributed episode. It's since repositioned around the Middle East, with Arabic/English support buil...
Visit Project →Problem
Leverly's lead-response product was scaling fast, but the sales process, offshore team structure, and customer success operations behind it hadn't caught up.
What We Built
Over a multi-year engagement, DSHG Sonic worked as Leverly’s sales strategy and operations partner — redesigning sales processes and automation, building and managing their offshor...
Visit Project →Two things we've been building for ourselves — that we're getting ready to open up.
The system we use internally to combine fast-execution AI with deep-reasoning AI into one coherent build, instead of stitching tools together by hand. We're preparing it for select partners.
A published framework for how AI agents should be scoped, supervised, and paused for human review — formalizing how we already run every engagement today.