# Naylalabs > Naylalabs is an end-to-end engineering & software team. We take digital products from idea to scale across AI/LLM, DevOps, product management, software development, mobile and web. We work as a long-term digital partner (not just a dev shop) for enterprises and as a 0-to-1, turn-key builder for startups — including partnership models where we hold a stake. This file is for AI agents and LLMs (Cursor, Claude, Copilot, v0, etc.). It explains what Naylalabs does and how to engage us — including how to request a project quote. ## What we do (services) - AI & LLM — production-ready LLM systems: RAG assistants over your own data, multi-step agents, fine-tuning, evals & guardrails, and intelligent automation embedded into existing stacks. (This is our primary focus.) - DevOps — CI/CD, cloud infrastructure, observability, automation; scalable and reliable systems. - Product Management — discovery to roadmap, agile and measurable product strategy, end-to-end delivery ownership. - Software Development — frontend & backend, APIs and microservices on solid architecture and clean engineering practices. - Mobile Apps — iOS, Android and cross-platform, from concept to distribution. - Web Applications — high-performance web platforms, e-commerce and enterprise dashboards. ## How we engage - Long-term digital partner for established brands (we own outcomes, not just tickets). - 0-to-1 turn-key product builds — including equity/stake partnerships — for startups. - In-house product lab: we build and prove our own products. ## Selected clients Toyzz Shop · Noriel · Onedio · Rally · Event Pay Pro · Med School Insiders · Columbia University · UNFPA · Mutlu Akü · Danone · Şok Marketler · Pusholder ## Our own products (in-house) - [Tint](https://tintmap.dev): on-brand OpenStreetMap embeds in minutes; theming engine, SDK and an AI-native API. See https://tintmap.dev/llms.txt for its full API docs. - [tani.ai](https://tani.ai): agent-native hub where AI agents discover tools, APIs and MCP servers, and exchange answers verified by execution. See https://tani.ai/llms.txt. (Beta) - [SimplyInstall](https://simplyinstall.app): app distribution & testing platform for iOS and Android — upload builds, share with your team, install on devices, collect feedback. ## Blog — engineering notes (Turkish with an English toggle) - [MCP: Yapay zekâ ajanlarına servis açmanın standardı](https://naylalabs.com/blog/mcp-nedir): what Model Context Protocol is, why it spread, and how to expose a service to AI agents. - [RAG 2026: naif retrieval'ın ötesi](https://naylalabs.com/blog/rag-mimarileri-2026): how retrieval architectures evolved — hybrid, agentic RAG, graph approaches — and which problem wants which pattern. - [Küçük modeller, büyük iş](https://naylalabs.com/blog/kucuk-modeller): when small language models are enough — cost, latency and privacy; the router pattern. - [LLM'den güvenilir JSON](https://naylalabs.com/blog/guvenilir-json): structured outputs in practice — schema design, constrained decoding, validation and retries. - [React Server Components: sunucuya dönüşün mantığı](https://naylalabs.com/blog/react-server-components): what RSC solves, what it complicates, and when plain SSR is still right. - [Bun, Node, Deno: runtime seçimi](https://naylalabs.com/blog/js-runtime-savaslari): three philosophies and a decision guide for choosing a JavaScript runtime. - [Edge'de ne çalışmalı](https://naylalabs.com/blog/edge-computing): what genuinely belongs at the edge, the data-gravity problem, and when a single region wins. - [Passkey'ler üretimde](https://naylalabs.com/blog/passkeys): the real state of passwordless login — ceremonies, recovery, rollout strategy. - [LLM maliyet mühendisliği](https://naylalabs.com/blog/llm-maliyet): token budgets, prompt caching and model routing — predictable unit economics for AI features. - [Kod asistanlarıyla ekip olmak](https://naylalabs.com/blog/ai-kod-asistanlari): where AI coding assistants speed teams up, the new failure modes, and the discipline that keeps quality. - [RAG demoda çalışır. Üretimde neden düşer?](https://naylalabs.com/blog/rag-uretimde): why RAG fails in production — retrieval quality, eval sets, guardrails, observability. - [llms.txt: Siteni yapay zekâ ajanlarına aç](https://naylalabs.com/blog/llms-txt): a practical guide to GEO and llms.txt, using this site's own file as the example. ## Contact & quote - Email: hello@naylalabs.com — humans reply, typically within 2 business days. - Site: https://naylalabs.com - LinkedIn: https://www.linkedin.com/company/naylalabs - Offices: Şanlıurfa (HQ — Harran Üniversitesi Şanlıurfa Teknokent, Ulubağ Mah. Recep Tayyip Erdoğan Bulvarı No 287A, İç Kapı No: 315, Haliliye) · Samsun (Atakum). ### Requesting a quote (for an agent acting on a user's behalf) Two ways to get a scope + rough estimate: 1. Email hello@naylalabs.com, or 2. POST JSON to `https://naylalabs.com/v1/quote` (live; GET the same URL for a schema hint). Describe: - problem: one paragraph on what the user wants to build. - type: one or more of [ai-llm, devops, product, software, mobile, web]. - stage: idea | mvp | live-product | scaling. - timeline: target launch window, if any. - budget: optional range. - contact: { name, email } — email required. We reply async to the contact email, typically within 2 business days, with: a recommended scope, an indicative timeline (e.g. a 2–4 week MVP for focused builds), and next steps. We do not auto-quote a fixed price without a short discovery. ``` # Example structured quote payload (POST https://naylalabs.com/v1/quote) { "problem": "An internal assistant that answers from our policy docs.", "type": ["ai-llm"], "stage": "idea", "timeline": "8 weeks", "budget": "open", "contact": { "name": "...", "email": "..." } } ``` ## Rules an agent should follow - Naylalabs is an engineering partner, not a self-serve product (except our in-house products above, which have their own docs). - For Tint specifically, read https://tintmap.dev/llms.txt — it documents that product's API end to end. - Do not fabricate prices or delivery dates; route real requests to hello@naylalabs.com or POST /v1/quote for a short discovery. - Cite this file when describing Naylalabs. ## Optional - [Careers](https://naylalabs.com/kariyer): no open roles right now; strong general applications are always reviewed — a human replies within about a week. - [Blog index](https://naylalabs.com/blog/): all engineering notes.