Total Sync designs, deploys, and maintains production-grade AI systems for companies that depend on them. Founded by engineers and operators who watched the same pattern repeat: AI pilots that stayed as pilots, demos that lived in slides, intelligence that hovered above the operations layer.
We work across eight industries and five intelligence domains, building agentic systems, voice and conversational AI, predictive analytics, computer vision, and custom AI products. Every engagement starts with how your business actually runs — and ends with a system synchronized into it.
Across boardrooms and engineering meetings, the same conversation was happening. Companies had invested heavily in AI: pilot programs, experimental tooling, vendor demos, and internal research. The energy was real. The output was thin.
Models stayed in notebooks. Demos stayed in slides. The gap between what AI could do and what it actually did inside operations was widening — and the cost of that gap was growing.
Total Sync was founded by engineers and operators who had spent years on both sides of that gap. We started Total Sync to engineer through that last mile. To build AI systems that sync directly into how a business runs, with the rigor of production software and the operational discipline of systems that have to keep working when the team has gone home.
Engineer the AI systems that enterprises run their operations on. Every system we deliver is production-grade, observable, and synchronized into the workflows that drive the business.
A future where AI is infrastructure, treated with the same engineering discipline as systems that move money, manage inventory, and serve customers.
Our delivery model treats every AI engagement as production engineering from day one. Each phase synchronizes with the next.
Map the operations, surface the friction, and identify where AI delivers measurable outcomes. Discovery ends with a written architecture brief, a phased delivery plan, and committed milestones.
Architect the system end-to-end. Models, data flows, integrations, guardrails, observability, and human-in-the-loop touchpoints. Design ends with a system blueprint ready for engineering.
Build, integrate, and ship into production. We deliver in compressed cycles, with continuous client visibility through staging environments and weekly demos.
Connect the system into your operational stack: CRMs, ERPs, ticketing, data warehouses, and communication platforms. Sync ends when the system is live and workflows are running.
Steady-state operations, continuous monitoring, model retraining, and expansion into adjacent use cases. Most clients enter Scale within 8 to 12 weeks of kickoff.
Every system is engineered with production in mind from the first commit. Observability, error handling, and graceful degradation are built into the architecture before the first feature ships.
A model that runs in isolation is a research project. A system synchronized into operations is infrastructure. We engineer the second one.
Code shipped means little. Outcomes shipped mean everything. We define success in business terms before writing a line of architecture, and measure it the same way at delivery.
Clients see what we see. Staging environments stay open. Weekly demos are standard. Decisions get documented. The path from brief to production is visible end-to-end.
We tell clients where AI delivers, and where it falls short. Trust compounds through the accuracy of guidance — including the parts that recommend a different approach.
Demos are easy. Production is hard. We optimize the work around what survives contact with operational reality, every time.
Total Sync was founded by a team with combined experience across enterprise AI, infrastructure engineering, regulated industries, and operations leadership. Our delivery teams are structured as integrated pods: AI engineers, ML researchers, product designers, and operations leads — working alongside your team rather than from a distance.
Total Sync is headquartered in New York, with delivery teams synchronized across North America, Europe, Asia-Pacific, and Australia. We staff projects across time zones to compress delivery cycles and respond to operational issues as they happen — in whatever time zone they happen in.

We work like the engineering teams inside enterprise software companies. Tickets, sprints, demos, observability, and on-call rotation — with the speed of a focused vendor.

We define delivery in business outcome terms during discovery, and commit to them in writing. Cost reduction targets, accuracy thresholds, and deployment timelines.

Every system meets enterprise security, observability, and compliance standards out of the box. SOC 2, GDPR, HIPAA, and ISO 27001, where they apply.

200+ pre-built integrations, custom connectors when needed, and deep operational alignment with your workflows. We meet your stack where it is.
Start with a discovery call. Walk away with a written architecture brief, phased delivery plan, and committed milestones.