--- title: AI SaaS Development Services | Avinya Labs description: AI SaaS development by Avinya Labs: AI-powered software products built end to end, with tenant isolation and predictable model costs. url: /service-pages/service-ai-saas.html --- [AI Development](/service-pages/service-ai-development.html) / AI SaaS development # AI SaaS products, built from first release to scale. We build AI SaaS products for other businesses, end to end: the AI features, the product around them, and the platform they run on. [Book a call](https://calendly.com/abbylester/30-mins-meeting) [See the work](/service-pages/service-ai-saas.html#solutions) [SaaS With Stripe payments built in](/case-studies/construction-fitout-ai-platform.html) [~2.5x Faster processing speed](/case-studies/ai-platform-insurance-broker.html) [~40%Less manual effort](/case-studies/enterprise-ai-agent-platform.html) ## AI SaaS development services. Everything a subscription AI product needs, not just the model. ### Product scoping Shape the first release around the one job customers will pay for. ### AI feature development Assistants, extraction, agents and search built into the core of the product. ### Multi-tenant architecture One platform serving many customers, with each customer's data kept separate. ### Grounded answers AI that answers from each customer's own documents and records, with sources shown. ### Model cost control Model choice per task, caching and usage limits, so AI costs stay predictable per customer. ### Billing & payments Payments, plans and usage-based pricing through providers such as Stripe. ### Admin, roles & audit Workspaces, permissions and audit trails that business buyers expect. ### Evals & monitoring AI output tested before each release and tracked in production. ### Scale & support Performance, reliability and new features as the customer base grows. ## AI products we have built for clients. Full-stack AI platforms, built end to end. Each result comes from a delivered engagement. AI · Construction ### AI SaaS for fit-out & construction An AI SaaS platform from drawing to quotation, for English and Chinese-speaking teams. 5-stage connected workflow Link: /case-studies/construction-fitout-ai-platform.html AI · Insurance ### Full-stack AI platform for insurance Fragmented policy, claims and correspondence data connected into one structured workflow. ~2.5x faster processing Link: /case-studies/ai-platform-insurance-broker.html AI · Agent platforms ### AI agent platform Agents retrieve, reason and act across systems, with human approval before high-stakes actions. ~40% less manual effort Link: /case-studies/enterprise-ai-agent-platform.html AI · Legal ### Research & review assistant Citation-grounded answers, each one traced back to its source document. ~50% faster review time Link: /case-studies/ai-legal-assistant.html ## Have an AI product idea you want in customers' hands? [Book a call](https://calendly.com/abbylester/30-mins-meeting) ## From idea to a product people pay for. Four stages, with a working version reviewed at each one. ### Discovery Map the product, the systems and data involved, and what good looks like. Discovery notesDone - The customer and the job to be done - The data the AI depends on - What the first release must prove ### Scope & architecture Agree the architecture, success measures and delivery milestones. Solution designDone - Product and platform architecture - Model choice and cost plan - Release milestones ### Build Build against real data, with a working version reviewed at each milestone. Working buildDone - Working product at each milestone - AI evals on real cases - Early user feedback ### Ship & support Roll out to production with monitoring and a defined support window. Production rolloutDone - Production launch - Usage and quality monitoring - Roadmap for the next release ## Why Avinya for AI SaaS. One team for the AI, the product and the platform. ### We have done it before We have built AI SaaS products for other businesses, from first release to production. ### Full-stack delivery Data pipelines, models, product and infrastructure from one team. ### A lovable first release We scope the smallest product customers will choose, not just tolerate. ### Built to scale Tenant isolation, roles and cost controls designed in from the start. ## Results from the AI platforms we built. Each number links to the engagement it came from. 5-stage Connected workflow Construction platform → Link: /case-studies/construction-fitout-ai-platform.html ~2.5x Faster processing speed Insurance AI platform → Link: /case-studies/ai-platform-insurance-broker.html ~40% Less manual effort AI agent platform → Link: /case-studies/enterprise-ai-agent-platform.html ## Engagement models. Pick the shape that fits where you are. Ongoing ### Dedicated team A dedicated team that works as an extension of yours, from first release to scale. Fixed scope ### Project-based A defined scope, milestones and delivery date for a specific product or workflow. Advisory ### Consulting & advisory Architecture and readiness advice before you commit to a build. ## What our clients say. AI SaaS for construction > “We needed a platform that could handle complex construction workflows without breaking down every week. Avinya Labs delivered exactly that. What stood out even more was their commitment after launch: when a critical issue came up, the team stayed up until midnight to make sure we weren't left hanging.” JohnCEO, Craft X Result 5-stage Connected workflow [Read case study →](/case-studies/construction-fitout-ai-platform.html) AI platform for an insurance broker > “Avinya Labs built our full-stack AI solution … Their expertise accelerated our launch and significantly reduced execution risk.” SandraProject lead, Insurance broker [Read case study →](/case-studies/ai-platform-insurance-broker.html) AI chatbot for a travel platform > “Avinya Labs built our AI travel chatbot … A highly capable team that delivers ahead of the curve.” LauraCo-founder, Travel platform [Read case study →](/case-studies/ai-travel-chatbot.html) ## AI SaaS development FAQs. ### Have you built AI SaaS products before? Yes. We have built AI SaaS products for other businesses, covering the AI features, the product and the platform. One example is a [fit-out and construction platform](/case-studies/construction-fitout-ai-platform.html) built as SaaS, with Stripe payments, OpenRouter for model orchestration and Langfuse for LLM observability. ### What is AI SaaS development? Building a software-as-a-service product where AI is part of the core value: the AI features, the product experience around them, and the multi-tenant platform, billing and admin a subscription business needs. ### Can you add AI to our existing SaaS product? Yes. We can build AI features into your current product and platform, or build a new product end to end. ### How do you keep model costs predictable? We choose models per task, route requests through a model orchestration layer such as OpenRouter, cache where answers repeat, trace model calls with tools such as Langfuse, and meter usage per customer, so AI costs map to your pricing. ### How is each customer's data kept separate? Tenant isolation is part of the architecture: each customer's data, search index and AI context stay within their own workspace. ### Should we start with an MVP or an MLP? We usually recommend a minimum lovable product: a narrow first release that does one job well enough for customers to choose it. [Read our MLP vs MVP guide](/blog/minimum-lovable-product-vs-mvp.html). ### Which AI models do you use? We evaluate models against your real workflow and choose per task. The architecture is designed so models can change later without rebuilding the product. ## Ready to turn your vision into reality? Tell us the problem, the data, and where manual effort sits today. We'll map the path from MVP to scale. [Book a call](https://calendly.com/abbylester/30-mins-meeting) [See the work](/work/index.html) Or email [contact@avinyalabs.co](mailto:contact@avinyalabs.co)