The best proof that we can build secure, dependable AI for you is that we trust it with our own revenue, our own hiring, and our own code. Three examples.
Reaching the right buyers normally means a ~$50K/year outbound stack — lead data, sequencing, social selling, CRM, and an SDR to run it. Too expensive and too manual for a lean team.
PipeAI, an end-to-end AI outbound engine: it sources and scores leads, enriches them, runs multi-channel email and LinkedIn outreach, detects and classifies replies, drafts responses with AI, and tracks every deal in a native CRM with AI deal scoring. We run our own pipeline on it.
We replaced the ~$50K/year stack with a system we own and operate for roughly $240/month — our outbound now runs on software we control end to end.
If we can build and run our own revenue engine, we can build the AI system your team runs on.
Our staffing desk ran on a generic ATS and was losing quality control — poorly matched candidates slipped through, and leadership had little visibility into submission quality or throughput.
TrueNorth, the AI recruitment suite we run our own desk on — 25,000+ candidates migrated, a 5-gate AI quality check on every submission, a role-based hierarchy, and AI-assisted matching.
Every submission now passes a 5-gate quality check, uncontrolled submissions are eliminated, and leadership has real-time visibility into quality and throughput. See how we secure and test it →
We run our own desk on it — and we can build the same rigor into how your operations run.
As we shipped more software, manual code review didn't scale and project knowledge walked out the door when developers rotated off.
An AI operations layer over our own development: it auto-audits every pull request — an AI reviewer reads the full diff, checks it against the acceptance criteria, and posts a verdict as a PR comment — captures architectural knowledge from each audit, and generates handover packages when developers transition.
It's modular — we activate it on client request. When active, every pull request is auto-audited before merge, and clients self-serve project status from a live dashboard in near real-time instead of waiting on manual update emails.
The same automated QA discipline we run on our own code, applied to your build.