Founders who built systems before they consulted on them.
Antashiai was started by engineers who spent over a decade building mission-critical systems in retail and financial services — before calling themselves AI experts.
Most enterprise AI doesn't fail at the model. It fails at the architecture.
We build the layers around the model — so the system holds up at 2am, passes audits, and your team can actually maintain it.
Principles that survive every trade-off.
Architecture first
We choose the right structure before writing a line of code. Bad architecture is the most expensive mistake in AI systems — and the hardest to undo after you've shipped.
Production or nothing
We don't build demos. We don't ship prototypes as products. Every system we deliver is designed for the failure modes, scale, and compliance requirements of production enterprise environments.
Intellectual honesty
We tell you when an approach won't work, when a technology isn't ready, and when the problem is harder than it looks — before you commit resources, not after.
Knowledge transfer
We don't create dependency. We document everything, train your team, and leave your organization more capable than we found it. The system should belong to you.
How we work with you.
Discovery & Architecture
We map your data landscape, existing systems, and business workflows before recommending any AI approach. We challenge assumptions and tell you if a proposed direction won't work — before you commit budget.
Pilot & Validation
We build a focused pilot against real business metrics — not a demo, not a proof of concept. A production-ready system that gives you evidence before you scale.
Production Engineering
We scale what works, harden it for production, and integrate it with your enterprise systems. Full observability, security review, documentation, and operational runbooks are included.
Knowledge Transfer
We document everything, train your team, and transfer operational ownership. We don't create dependency. Retainer-based support is available for critical systems.