[{"data":1,"prerenderedAt":178},["ShallowReactive",2],{"svc-detail-ai-saas-product-development":3,"sub-work-ai-saas-product-development":157,"ill-services\u002Fai-saas-product-development":177},{"slug":4,"short":5,"title":6,"tagline":7,"answer":8,"summary":9,"icon":10,"subServices":11,"useCases":57,"benefits":73,"process":79,"tools":95,"integrations":111,"industries":119,"faq":126,"relatedWork":145,"relatedServices":149,"seo":154},"ai-saas-product-development","AI SaaS Products","AI SaaS Product Development","From AI MVP to a product customers pay for.","AI SaaS product development covers the full journey from idea to a shipped, scalable AI product: MVPs, SaaS architecture, AI feature integration, web and mobile apps, browser extensions and marketplaces. We work with founders and product teams who need an experienced engineering partner to build AI into the core of the product, with tenancy, billing, security and cost per user designed in from day one.","AI MVPs, SaaS architecture, startup product engineering, AI feature integration, AI marketplaces, mobile and web apps and browser extensions, built by a team that has shipped AI products, not just demos.","stack",[12,17,21,25,29,33,37,41,45,49,53],{"slug":13,"name":14,"text":15,"page":16},"ai-mvp-development","AI MVP development","A focused, production-quality MVP in weeks: the core AI feature, auth, billing and analytics, enough to learn from real users.",true,{"slug":18,"name":19,"text":20},"ai-saas-architecture","AI SaaS architecture","Multi-tenant designs with per-tenant data isolation, usage metering, model routing and cost control.",{"slug":22,"name":23,"text":24},"startup-product-engineering","Startup product engineering","A senior team that owns delivery end to end (product, design, engineering and AI) alongside founders.",{"slug":26,"name":27,"text":28},"ai-feature-integration","AI feature integration","Add assistants, search, summarisation, generation or automation features to an existing SaaS product.",{"slug":30,"name":31,"text":32},"ai-marketplaces","AI marketplaces & platforms","Two-sided platforms with AI-driven matching, moderation, pricing and recommendations.",{"slug":34,"name":35,"text":36},"ai-mobile-apps","AI mobile apps","iOS and Android apps with on-device and cloud AI features, offline modes and privacy controls.",{"slug":38,"name":39,"text":40},"ai-web-apps","AI web apps","Modern web applications with streaming AI interfaces, real-time collaboration and robust backends.",{"slug":42,"name":43,"text":44},"browser-extensions","AI browser extensions","Chrome and Edge extensions that bring AI assistance into the pages and tools your users already use.",{"slug":46,"name":47,"text":48},"ai-product-analytics","AI product analytics & billing","Usage metering, cost per user, feature analytics and pricing models tied to AI consumption.",{"slug":50,"name":51,"text":52},"ai-product-security","AI product security & compliance","Auth, data isolation, audit logs and the controls needed for SOC 2-style questionnaires and enterprise buyers.",{"slug":54,"name":55,"text":56},"product-discovery-prototyping","Product discovery & prototyping","Rapid prototypes and user tests to validate the AI value proposition before full build.",[58,61,64,67,70],{"title":59,"text":60},"Launch an AI-first product","Get a real MVP in front of users quickly with an architecture that will not need rebuilding at scale.",{"title":62,"text":63},"Add AI to an existing SaaS","Ship an in-product assistant or automation feature that increases retention and expansion revenue.",{"title":65,"text":66},"Build an AI marketplace","Matching, moderation and recommendations powered by AI on a two-sided platform.",{"title":68,"text":69},"Extend into new surfaces","Mobile apps and browser extensions that meet users where they work.",{"title":71,"text":72},"Prepare for enterprise buyers","Security, tenancy and audit features that pass procurement.",[74,75,76,77,78],"Production systems, not proofs of concept","Faster time to first paying customers","Cost per user and margins understood from day one","Architecture that scales without a rewrite","A senior team that ships and hands over cleanly",[80,83,86,89,92],{"step":81,"text":82},"Discovery and scope","Define the core AI value, the smallest product that proves it, and the metrics for success.",{"step":84,"text":85},"Architecture and design","Tenancy, data model, model choices, cost per user, security and the user experience, all before code.",{"step":87,"text":88},"Build in sprints","Working software every one to two weeks with demos, tests and evaluation sets for AI features.",{"step":90,"text":91},"Launch and learn","Ship to early users with analytics and feedback loops; iterate on what the data shows.",{"step":93,"text":94},"Scale","Harden, optimise costs and add features as adoption grows, or hand over to your growing team.",[96,97,98,99,100,101,102,103,104,105,106,107,108,109,110],"TypeScript","Next.js","Nuxt","React Native","Python","FastAPI","Node.js","PostgreSQL","Supabase","OpenAI","Anthropic Claude","Stripe","AWS","Vercel","Docker",[107,112,113,114,115,116,117,118],"Auth0","Clerk","Segment","Mixpanel","Intercom","Slack","HubSpot",[120,121,122,123,124,125],"saas-technology","retail-ecommerce","professional-services","healthcare","finance","real-estate-construction",[127,130,133,136,139,142],{"q":128,"a":129},"How long does an AI MVP take?","Typically six to twelve weeks for a focused MVP with one core AI feature, authentication, billing and analytics. The variables are the number of integrations, the novelty of the AI component and how much design is needed. We scope to what you must learn from users, not to a feature list.",{"q":131,"a":132},"What does it cost to run an AI product per user?","It depends on how much model usage each user drives. We model cost per user during architecture, design pricing and limits around it, and build metering so you see margins from launch. Caching, smaller models and batching keep the number down. Usage-based limits and fair-use policies are designed into plans, so a handful of heavy users cannot make the product unprofitable.",{"q":134,"a":135},"Do you build the whole product or just the AI part?","Either. We can own the full stack (frontend, backend, AI, infrastructure) or embed alongside your engineers to deliver the AI features. Most early-stage clients want the full team; most established SaaS companies want targeted features. In both cases you get a named team, a shared backlog and weekly demos, so there are no surprises about what is being built.",{"q":137,"a":138},"Who owns the code and IP?","You do. All code, prompts, models and documentation are delivered into your repositories and accounts under your ownership. We use open-source and standard tools so you are never locked in to us. Contracts state this plainly, and code lives in your repositories from day one rather than being handed over at the end.",{"q":140,"a":141},"Can you work with our designer or product manager?","Yes, and it usually goes better that way. We collaborate in your tools, run joint sprint planning and demos, and can supply product and design capacity when you have gaps. Design for AI features has its own patterns (streaming, uncertainty, correction) and we bring those so your designer does not have to learn them the hard way.",{"q":143,"a":144},"What happens after launch?","You choose: hand over to your team with documentation and support, keep us on a retainer for roadmap delivery and operations, or a mix. We plan the handover from the start so it is not a cliff. Documentation, runbooks and recorded walkthroughs are produced during the build, so the last week is a review rather than a scramble to write everything down.",[146,147,148],"saas-onboarding-assistant","saas-support-rag-bot","ecommerce-personalisation-plugin",[150,151,152,153],"generative-ai-llm","ai-integration","ai-agents","mlops-ai-infrastructure",{"title":155,"description":156},"AI SaaS Product Development & AI MVPs | AIYatch","AI SaaS product development: AI MVPs, SaaS architecture, AI feature integration, marketplaces, mobile and web apps and browser extensions built to scale.",[158],{"path":159,"title":160,"description":161,"industry":162,"services":163,"results":165,"cover":175,"coverAlt":176},"\u002Fwork\u002Fproptech-ai-saas-mvp","AI SaaS MVP for a property-management startup","From concept to paying pilot customers in twelve weeks: an AI-powered tenant-communication and maintenance-triage product built for a seed-stage startup.","Real Estate & Construction",[4,151,164],"ai-chatbots",[166,169,172],{"value":167,"label":168},"12 weeks","from kick-off to first paying pilot",{"value":170,"label":171},"6","pilot agencies onboarded in the first quarter",{"value":173,"label":174},"~70%","of tenant messages triaged automatically","\u002Fcovers\u002Fwork\u002Fproptech-ai-saas-mvp.svg","Abstract navy cover with a rising cyan course line","\u003Csvg xmlns=\"http:\u002F\u002Fwww.w3.org\u002F2000\u002Fsvg\" viewBox=\"0 0 640 480\" role=\"img\" aria-hidden=\"true\">\u003Cg fill=\"none\" stroke=\"currentColor\" stroke-width=\"5\" stroke-linecap=\"round\" stroke-linejoin=\"round\">\u003Crect x=\"120\" y=\"110\" width=\"400\" height=\"260\" rx=\"14\"\u002F>\u003Cline x1=\"120\" y1=\"136\" x2=\"520\" y2=\"136\"\u002F>\u003Ccircle cx=\"136\" cy=\"123\" r=\"3.5\" fill=\"var(--accent, #0E7490)\" stroke=\"none\"\u002F>\u003Ccircle cx=\"150\" cy=\"123\" r=\"3.5\"\u002F>\u003Ccircle cx=\"164\" cy=\"123\" r=\"3.5\"\u002F>\u003Cline x1=\"200\" y1=\"136\" x2=\"200\" y2=\"370\" stroke-width=\"3.5\" stroke-opacity=\"0.45\"\u002F>\u003Cline x1=\"140\" y1=\"168\" x2=\"178\" y2=\"168\" stroke-width=\"3.5\" stroke-opacity=\"0.45\"\u002F>\u003Cline x1=\"140\" y1=\"196\" x2=\"170\" y2=\"196\" stroke-width=\"3.5\" stroke-opacity=\"0.45\"\u002F>\u003Cline x1=\"140\" y1=\"224\" x2=\"182\" y2=\"224\" stroke-width=\"3.5\" stroke-opacity=\"0.45\"\u002F>\u003Cline x1=\"140\" y1=\"252\" x2=\"174\" y2=\"252\" stroke-width=\"3.5\" stroke-opacity=\"0.45\"\u002F>\u003Crect x=\"222\" y=\"156\" width=\"130\" height=\"66\" rx=\"10\" stroke-width=\"3.5\"\u002F>\u003Crect x=\"370\" y=\"156\" width=\"130\" height=\"66\" rx=\"10\" stroke-width=\"3.5\"\u002F>\u003Cpath d=\"M250 173Q250 189 266 189Q250 189 250 205Q250 189 234 189Q250 189 250 173Z\"\u002F>\u003Cline x1=\"276\" y1=\"189\" x2=\"330\" y2=\"189\" stroke-width=\"3.5\" stroke-opacity=\"0.45\"\u002F>\u003Cline x1=\"392\" y1=\"180\" x2=\"470\" y2=\"180\" stroke-width=\"3.5\" stroke-opacity=\"0.45\"\u002F>\u003Cline x1=\"392\" y1=\"200\" x2=\"440\" y2=\"200\" stroke-width=\"3.5\" stroke-opacity=\"0.45\"\u002F>\u003Crect x=\"222\" y=\"240\" width=\"278\" height=\"110\" rx=\"10\" stroke-width=\"3.5\"\u002F>\u003Cpath d=\"M244 328C280 326 296 300 330 296S380 272 414 262S460 250 480 250\"\u002F>\u003Ccircle cx=\"480\" cy=\"250\" r=\"7\" fill=\"var(--accent, #0E7490)\" stroke=\"none\"\u002F>\u003C\u002Fg>\u003C\u002Fsvg>",1792973685537]