How long does a typical Generative 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 Generative AI experts trusted by product teams.

Hire Nanostack generative AI developers to build LLM-powered products, RAG systems, copilots, and content pipelines with evaluation, guardrails, and cost controls — ready for production traffic.

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What we deliver

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

GenAI architecture

RAG, orchestration, tool use, and evaluation layers designed for reliability and cost.

Implementation

Ship copilots, assistants, and generation pipelines integrated into your product.

Model selection & fine-tuning

GPT, Claude, Gemini, and open models — with fine-tunes when prompting is not enough.

Production hardening

Guardrails, monitoring, latency budgets, and human-in-the-loop for high-risk outputs.

Where it creates value

Common engagement patterns we see across products and operations.

Product copilots

In-app GenAI features that draft, search, summarize, and assist users.

Knowledge RAG systems

Grounded Q&A over company docs with permissions and citations.

Content automation

Document and marketing generation pipelines with quality checks.

Team augmentation

Embed GenAI engineers into your product squads.

Why teams choose Nanostack

Senior engineers with hands-on Generative 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 Generative 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 Generative 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 Generative AI project.