How do you keep GenAI accurate?

We ground answers with retrieval, measure faithfulness and task success with evaluation suites, add guardrails, and use human-in-the-loop for high-risk outputs.

Which models do you work with?

OpenAI GPT, Anthropic Claude, Google Gemini, and open-source LLMs — chosen for quality, cost, latency, and data residency needs.

How do we get started?

Book a discovery call. We validate the use case, propose architecture and success metrics, then ship in iterative releases.

Services

Generative AI development that survives production with Nanostack

Nanostack is a generative AI development partner for US companies. We build LLM-powered products, RAG systems grounded in your data, AI copilots, and content pipelines — with evaluation suites, guardrails, cost controls, and observability so GenAI ships as reliable software, not a brittle demo.

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What we deliver

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

GenAI product engineering

End-to-end generative AI features: UX, orchestration, retrieval, tool use, and APIs integrated into your product.

RAG & knowledge systems

Retrieval-augmented generation over docs, tickets, and databases with citations, access controls, and quality evals.

Fine-tuning & model ops

When prompting is not enough — fine-tunes, adapters, and routing across GPT, Claude, Gemini, and open models.

Guardrails & evaluation

Safety filters, groundedness checks, regression suites, latency/cost budgets, and human review workflows.

Where it creates value

Common engagement patterns we see across products and operations.

AI copilots in products

In-app assistants that draft, summarize, search, and take constrained actions on behalf of users.

Document & content automation

Contracts, reports, support replies, and marketing drafts grounded in approved knowledge sources.

Enterprise knowledge Q&A

Secure chat over internal knowledge with permissions, audit logs, and measurable answer quality.

Multimodal GenAI

Text, image, and voice workflows when your use case needs more than a chatbot.

Why teams choose Nanostack

Senior engineers with hands-on Generative AI Development 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

It covers LLM application design, RAG pipelines, prompt and tool orchestration, evaluation, guardrails, fine-tuning when needed, and production deployment with monitoring and cost controls.

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Get expert help for your Generative AI Development project.