Production-grade AI systems, shipped by an embedded team

Slideware doesn't ship. Our forward-deployed AI engineers embed with your team and deliver production AI systems — with evaluation and observability built in from day one, and architecture designed to evolve as the models evolve.

What our AI engineering team delivers

Production-grade AI systems built to evolve as the models evolve — shipped by people who've done it at scale.

Forward-deployed experts

AI engineers who embed with your team and ship alongside your people — not a black-box agency at arm's length.

Eval & observability

Production AI products with evaluation and observability built in from day one, so you trust what ships.

Scalable architecture

Architecture designed for scalability and continuous improvement that evolves as the models — and your business — evolve.

Knowledge transfer

Hands-on knowledge transfer so your team can own and evolve everything we build together.

How an embedded AI engagement works

Forward-deployed engineers who embed, ship, and hand off — pilot in 30 days, production in 90.

1

Diagnose

We embed, map your systems and data, and pick the highest-ROI system to ship first.

2

Build & ship

We deploy production-grade AI with evaluation and observability built in — pilot in 30 days, production in 90.

3

Hand off

We transfer knowledge so your team owns and evolves what we built, long after the engagement.

AI engineering FAQs

Everything teams ask before bringing on an embedded AI engineering team.

Do you actually build, or just advise?+

We build. Forward-deployed AI engineers embed with your team and ship production systems — if we can't build it, we don't propose it. Strategy without working software isn't our model.

Will our team be able to maintain what you build?+

Yes. Hands-on knowledge transfer is built into every engagement. We design clean, documented architecture and bring your engineers along so they own and evolve the systems after we leave.

How fast can you ship a production AI system?+

We pilot in 30 days and reach production in 90, then stay until the ROI case is proven on your P&L. Speed comes from embedding with your team and focusing on the highest-impact use case first.

How do you ensure the AI is reliable?+

Evaluation and observability are built in from day one — not bolted on later. Every system ships with the instrumentation to measure quality, catch regressions, and keep performance honest in production.

Will you lock us into specific vendors or tools?+

No. We give unbiased, vendor-neutral guidance to prevent costly lock-in and design future-proof architecture that adapts as the models and your needs change.

Ready to move from AI hype
to board‑level wins?