AI SaaS Product Development — From Idea to Paying Customers
We architect, build, and ship LLM-powered SaaS products end-to-end. Frontend, backend, AI layer, infrastructure, and deployment — all in one team. 10+ live products, 6 years of AI development experience.
What We Ship
We build AI-native products — not standard SaaS with an AI feature bolted on. Every product we ship has AI as the core value driver.
LLM-Powered Applications
Applications built on frontier models (Claude, GPT) or open-source models with retrieval, tool use, and agentic workflows tailored to your domain.
Voice AI Products
End-to-end voice pipelines using Whisper for transcription and GPT for processing — clinical notes, meeting summaries, voice agents.
Document Intelligence Tools
PDF and document analysis, extraction, Q&A, and summarization platforms — from legal document review to medical record processing.
Content Automation Platforms
AI systems that generate, format, and distribute content across channels — like Klippo for video or Postible for multi-platform publishing.
Vertical AI SaaS
Deeply specialized tools for specific industries — healthcare, legal, education, creator economy — where generic AI fails and domain expertise wins.
AI-Augmented SaaS
Adding AI capabilities to an existing product: smart search, automated summaries, AI-powered recommendations, or natural language interfaces.
Products We've Shipped
Not mockups. Not demos. Live, revenue-generating AI products running in production.
Scholarbot
AI homework app with personal agents trained on student notes. 1,000+ daily unique visitors.
SLPeace
Voice-to-SOAP-note workflow for speech-language pathologists with clinician review built into the process.
Mentore.app
No-code LLM-powered website builder and LMS for course creators. Launched in 8 weeks.
Klippo
Configurable video intelligence platform for analyzing long-form media and preparing short-form clips.
The Mentor, Esq.
AI-powered trial mentor for deposition prep and case strategy. Domain-specific LLM on proprietary trial intelligence.
Postible AI
Drop a video once; AI formats and publishes to YouTube, TikTok, and Instagram simultaneously.
Our Stack
How We Build
Product Discovery (Week 1)
We define the core use case, user personas, AI approach, tech stack, and success metrics. You get a full PRD and architecture diagram before we write any code.
Architecture & Infrastructure Setup (Week 1–2)
We provision AWS infrastructure, set up CI/CD pipelines, establish dev/staging/prod environments, and implement auth and billing scaffolding.
AI Layer Development (Week 2–5)
We build and validate the core AI functionality first — the feature users will pay for. This is the hardest part and we nail it before building the surrounding product.
Product Build (Week 3–8)
We build the full product in 1-week sprints with weekly demos. You can give feedback and adjust priorities throughout.
QA, Security & Launch (Week 7–10)
Full QA pass, security review, performance optimization, and staged rollout. We stay close to the launch for real-time support.
Investment
Complete products use a custom scope; focused workflow agents use the published build range.
A production agent for one defined workflow, integrated with your existing systems and review process.
End-to-end design and engineering for an AI SaaS product, from product definition through launch.
Frequently Asked Questions
What types of AI SaaS products do you build?
We specialize in LLM-powered applications, document intelligence tools, voice-to-text pipelines, specialized chatbot platforms, and workflow products. Our portfolio includes healthcare, legal, creator, and education software.
How long does it take to go from idea to a live product?
A focused MVP with one primary use case can often ship in 6–10 weeks. Products with complex integrations, migration work, or regulated-data requirements need a scope-specific timeline.
Do you handle the full stack, or do you just build the AI part?
We handle the full product — frontend (React/Next.js), backend (Node.js/Python), AI layer (OpenAI, Claude, custom models), database, infrastructure (AWS), and deployment. You get a complete, production-ready product, not just a prototype or an AI API wrapper.
Can you build HIPAA or SOC 2 compliant AI products?
We can engineer controls that support HIPAA or SOC 2 requirements, including encryption, access controls, audit logging, retention rules, and vendor review. Compliance depends on the complete deployment, contracts, operating procedures, and customer responsibilities, so requirements are defined during scoping.
What is your pricing model?
Complete products use a custom scope because product depth, integrations, data, and launch requirements vary. Defined single-workflow agent builds typically use the published agent-build range on our pricing page.
Do you offer equity arrangements for early-stage startups?
In selective cases, yes. If you have a compelling product idea in a niche where we have deep expertise (healthcare AI, creator economy, legal tech) and the right founding team, we're open to discussing a cash + equity arrangement. Reach out to mahad@asaan.io with your idea.
Ready to build your AI product?
Book a free 30-minute discovery call. We'll scope your idea, identify the core AI feature, and give you a timeline and budget estimate before any commitment.