SERVICES
AI & Software Development Services
Ciphers Lab builds AI agents, generative AI applications, RAG systems, SaaS platforms, web applications, and mobile products for startups, businesses, and enterprises.
INTELLIGENCE LAYER
AI & Agent Engineering
LLM features, agents, and RAG taken from prototype to production.
AI & Agent Engineering
LLM integration, multi-agent systems, RAG pipelines, and applied machine learning — taken from prototype to production. We've shipped AI products end to end, including Cliply AI, Conversa AI, and Aetheris AI.
Learn moreAI Agent Development
Single and multi-agent systems with tool calling, memory, and human approval steps, built on CrewAI, LangGraph, and AutoGen.
Learn more
RAG Development
RAG pipelines over your documents and data: ingestion, embeddings, vector search, re-ranking, and answer evaluation.
Learn more
Generative AI Development
Copilots, assistants, and multimodal features for text, image, and voice, integrated into your product.
Learn more
LLM Development
Model selection, prompt engineering, fine-tuning, guardrails, and monitoring for LLM-powered products.
Learn more
AI Automation
AI workflows for support, sales, documents, and operations — with human approval where it matters.
Learn more
AI Chatbot Development
Chatbots grounded in your data and connected to your systems, with clean handoff to your team.
Learn moreEXPERIENCE & ENGINEERING LAYERS
Design and software development
The product around the intelligence — designed and engineered to scale.
UI/UX Design
Product design for intelligent software. We design the flows AI-native products need — streaming output, agent handoffs, confidence states — alongside the fundamentals: research, wireframing, and interfaces people enjoy using.
Learn more
Web App Development
Full-stack web platforms built on React, Next.js, and TypeScript, engineered to plug into the Intelligence Layer from day one and scale as you grow.
Learn more
Mobile App Development
Native and cross-platform apps in React Native, Flutter, and Swift — including on-device AI features, voice interfaces, and real-time intelligent experiences for iOS and Android.
Learn more
SaaS Application Development
From MVP to enterprise-ready: authentication, billing, multi-tenancy, and cloud infrastructure — with AI capabilities designed into the product architecture, not patched in later.
Learn more
Data Solutions
The data layer that makes AI work: pipelines, warehousing, vector databases, and analytics. Clean, structured, retrievable data is the difference between an AI demo and an AI product.
Learn more
E-Commerce Solutions
Shopify, WooCommerce, and Magento builds — with AI-driven search, recommendations, and personalization where they actually move revenue.
Learn more
CMS Development
Custom WordPress, Webflow, and headless CMS builds your team can update without a developer.
Learn moreEXTEND YOUR TEAM
Staff augmentation
Senior engineers, designers, and AI specialists inside your team.
OUR APPROACH
Our AI-native process
Seven steps, one team. Intelligence is scoped at the start and evaluated at the end.
-
01
Discovery & AI Opportunity Mapping
We start every engagement by mapping where intelligence belongs in your product: which workflows an agent can own, where an LLM adds real value, and where plain software is the right answer. You get an honest AI scope — including what not to build.
-
02
UI/UX Design
Research, flows, wireframes, and high-fidelity interfaces, validated with users before development begins. For AI features, we design the states that matter: streaming, uncertainty, and human-in-the-loop control.
-
03
Intelligence Engineering
Model selection, prompt and agent architecture, RAG pipeline design, and evaluation harnesses — built with LangChain, LangGraph, CrewAI, and the vector store that fits your data.
-
04
Web Development
Frontend and backend engineering on React, Next.js, Node, and Python, delivered in short sprints with working software at the end of each one.
-
05
Mobile Development
Native and cross-platform apps for iOS and Android, built against the same APIs and design system as the web product.
-
06
Cloud & Deployment
Infrastructure as code, CI/CD, and monitored releases on AWS, Azure, or GCP — including GPU/inference infrastructure and model-cost monitoring where AI workloads demand it.
-
07
Testing & AI Evals
Automated test suites cover every release. AI features get their own evaluation suites — regression tests for prompts, hallucination checks, and output-quality scoring — so intelligence ships with the same rigor as code.
FAQ
Questions about working with us
What does an AI-native software development company do?
An AI-native firm decides where intelligence belongs in a product before the architecture is set, then designs the data models, infrastructure, and interface to support it. Ciphers Lab builds AI agents, RAG systems, SaaS platforms, web apps, and mobile apps this way.
How much does custom AI development cost?
Cost depends on scope: the number of workflows, the models used, integrations, data preparation, security requirements, and ongoing monitoring. We scope a fixed first phase after a short discovery so you see a real number before committing.
How long does it take to build a SaaS product?
A focused SaaS MVP typically takes 10 to 16 weeks from discovery to launch. Timelines grow with integrations, compliance needs, and the number of user roles.
Do you work with startups or enterprises?
Both. We work with founders shipping a first product and with growing companies adding AI to an existing platform, across the US, UK, and Middle East.
Ready to build AI-native?
Tell us what you're building — we'll show you where AI belongs in it.