Silicon Valley is building the brain. We connect it to your business — your CRM, your ops queue, your invoicing, your support. Raw intelligence is getting cheap. Implementation is the work.
Generic tools don't know your data model, your compliance posture, or how your team actually works. You get demos, not outcomes.
Two ML engineers, a platform lead, a product manager, infra. You're $2M a year deep before a single system touches production.
A senior team that embeds, ships the 3–5 systems that move your P&L, and stays plugged in while your business changes.
We sit with your team, trace the workflows, and pressure-test where AI actually changes economics. You walk away with a ranked roadmap of 3–5 initiatives, ROI estimates per initiative, and a clear view of what to do first — and what to not do.
We build the highest-leverage initiatives from the roadmap — integrated into your CRM, ERP, support queue, whatever the system of record is. When it fits, we fly out for an Implementation Week on-site with your team.
Models drift. Businesses change. Regulations move. We stay embedded — monitoring, tuning, and rolling out the next initiatives as the roadmap matures. We operate, we don't disappear.
Intake and compliance documentation were the bottleneck. We deployed an AI-driven intake and documentation layer wired into their EHR — structured capture, auto-populated forms, human review on every exception.
Load planning and routing were tribal knowledge, inconsistent across regions. We built an AI-assisted dispatch system tied to their existing TMS — recommending loads, routes, and driver assignments, with dispatcher override on every decision.
Client document processing was the capacity ceiling. We built a document ingestion and structured-extraction pipeline into their workflow tool — partners review outputs instead of reading documents from scratch.
Six years building production software. Tech leads with ten-plus years in the industry. Dozens of systems shipped — healthcare, logistics, SaaS, professional services. Based in Israel and the USA, remote globally, on-site when the work justifies it.
No slide-deck strategies. We write the code, ship it, and put our name on the on-call rotation.
Models drift. Processes change. Regulations shift. A launched system that nobody tends becomes shelfware.
Fixed fees and outcome-linked retainers. No per-seat SaaS math pretending to be an AI strategy.
The model is a commodity. Your workflows, data, and compliance posture are not. We start there.
No. Consultancies deliver recommendations. We deliver shipped systems, integrated into your stack, running in production, tended by the team that built them.
If you want a PDF, there are cheaper options.
Good. Those tools give individuals leverage. What they don't do is change how your business operates — the intake queue, the dispatch desk, the billing reconciliation, the support triage. That's where margin lives, and that's where we work.
Healthcare, logistics and distribution, professional services, manufacturing, and B2B SaaS. The common pattern is mid-sized (20–200 staff), operationally complex, with workflows that currently depend on senior humans doing repetitive judgment work.
Yes — that's what the Discovery Sprint is for. Two weeks, fixed fee, concrete roadmap. If we don't earn the next engagement, the roadmap is still yours to run with.
Default: remote, globally. When the engagement justifies it, we fly out for an Implementation Week — usually at the start of a build, when being in the same room shaves weeks off discovery.
You do. All code, models, prompts, evals, and infrastructure belong to your company. We don't hold your systems hostage, and we don't monetize your data. If you ever want to take everything in-house, we'll help you do it cleanly.
