How long does a typical AI engagement take?

Timelines depend on scope. Discovery usually takes 1–2 weeks; MVPs often ship in 4–10 weeks; larger platforms are delivered in phased releases with clear milestones.

Can you integrate with our existing systems?

Yes. We routinely integrate with APIs, data warehouses, CRMs, ERPs, cloud services, and internal tools while preserving security and compliance requirements.

How do we get started?

Book a discovery call via our contact page. We review goals, propose an approach and team shape, then kick off with a clear plan and success criteria.

Technologies

Work with AI experts trusted by product teams.

Hire Nanostack AI developers to design and ship production AI — generative AI features, LLM applications, RAG pipelines, AI agents, ML models, and MLOps — with senior engineers and US-ready collaboration.

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What we deliver

Practical capabilities designed to move from idea to production with clarity.

AI architecture

Production architectures for GenAI, RAG, agents, and classical ML tailored to your product and compliance needs.

AI implementation

Senior engineers ship evaluated AI features with tests, observability, guardrails, and clean APIs.

Integration & enablement

Connect AI to your stack, train stakeholders, and leave maintainable systems your team can own.

Performance & cost control

Tune latency, quality, and spend with caching, model routing, and monitoring.

Where it creates value

Common engagement patterns we see across products and operations.

AI product features

Add copilots, assistants, and intelligent automation to SaaS and customer apps.

Internal AI platforms

Secure company knowledge Q&A, workflow agents, and analytics assistants.

Team augmentation

Embed AI specialists who join your standups and ship alongside your team.

Prototype hardening

Turn brittle GenAI demos into monitored, production-ready systems.

Why teams choose Nanostack

Senior engineers with hands-on AI experience
AI-augmented delivery for faster, higher-quality shipping
Clear communication, demos, and measurable milestones
Flexible engagement — project, dedicated team, or augmentation

How we work

Step 1

Discover

We map goals, constraints, and success metrics so the engagement starts with clarity.

Step 2

Design & build

We ship in short iterations with demos, feedback loops, and measurable milestones.

Step 3

Launch & improve

We deploy, monitor, and refine so outcomes keep improving after go-live.

Frequently asked questions

Nanostack delivers end-to-end AI development — from strategy and architecture through implementation, integration, and ongoing optimization with AI-aware engineering practices.

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Ready to move forward with AI?

Tell us about your goals — we'll propose a clear approach, team shape, and timeline.

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Get expert help

Get expert help for your AI project.