# Startera.ai (Startera) > Fixed-price, AI-augmented software engineering studio that turns AI-generated prototypes (v0, Bolt.new, Lovable, Replit) into scalable, production-grade web applications. Last updated: 2026-08-26 Startera.ai bridges the gap between rapid AI prototyping and commercial production engineering. Senior engineers, working AI-native, refactor, secure and scale AI-built MVPs on a modern stack (TypeScript, React, Cloudflare Workers, Node.js, PostgreSQL/Supabase, Zod). Engagements are fixed-price, fixed-scope tiers running 2 to 12 weeks with no hourly billing. Unlike generalist dev agencies, Startera specializes exclusively in post-prototype hardening — we don't build MVPs from scratch, we make AI-generated ones production-ready. ## Engagements - [Home](https://startera.ai/): Positioning, delivery process, and what post-prototype hardening covers. - [Engagements](https://startera.ai/engagements): All four fixed-price tiers — Ignite ($8,000, validate one AI opportunity), Evolve ($20,000, build one business workflow), Launch (from $35,000, deploy to production), Scale (custom, build your AI platform) — with timelines, deliverables and an outcome comparison matrix. ## Case Studies - [Case Studies](https://startera.ai/case-studies): All published project postmortems. - [Real-time fraud detection](https://startera.ai/case-studies/real-time-fraud-detection): Hybrid model and rules engine in the live transaction pipeline — fraud losses down 15%, false positives down 10%. - [Fast credit-risk scoring](https://startera.ai/case-studies/credit-risk-scoring): Automated intake and bureau/open-banking scoring — decisions cut from days to minutes, manual review down 90%. - [Healthcare scheduling system](https://startera.ai/case-studies/healthcare-scheduling): Consolidated calendars, reminders and real-time waitlist backfill — no-shows down 30%, admin time down 80%. - [AI calendar agent](https://startera.ai/case-studies/ai-calendar-agent): Scoped, fully audited calendar and inbox agent booking meetings end-to-end with no human in the loop. - [DOTIS white-label SaaS](https://startera.ai/case-studies/white-label-saas): Internal operations platform turned configurable multi-tenant product, production-ready MVP in 1-3 months. ## Resources - [Resources hub](https://startera.ai/resources): Guides and FAQ on delivery, MVPs, and AI-assisted engineering. - [Discovery Sprint Guide](https://startera.ai/resources/discovery-sprint): What a Discovery Sprint produces, its deliverables, and how to prepare your team. - [How AI Accelerates Software Delivery](https://startera.ai/resources/ai-accelerated-delivery): Where AI adds the most value across the lifecycle and where human expertise stays essential. - [Planning an MVP](https://startera.ai/resources/mvp-guide): Prioritizing ruthlessly and validating early to build the right first version. - [Modernizing Legacy Software](https://startera.ai/resources/modernizing-legacy-software): When to rebuild, refactor, migrate, or replace legacy applications. - [Choosing the Right Technology Stack](https://startera.ai/resources/technology-stack): Selecting technologies that scale with the business, and mistakes to avoid. - [Working with Distributed Teams](https://startera.ai/resources/distributed-teams): How global engineering teams communicate, collaborate, and ship. - [How Startera Builds Software 5× Faster](https://startera.ai/resources/builds-software-faster): The AI-augmented delivery model behind faster launches without quality loss. - [Traditional Development vs AI-Assisted Delivery](https://startera.ai/resources/traditional-vs-ai-assisted): A side-by-side comparison of both delivery models. - [Enterprise Architecture Best Practices](https://startera.ai/resources/enterprise-architecture): Principles for scalable, secure, maintainable platforms. - [Preparing for Your Discovery Sprint](https://startera.ai/resources/preparing-discovery-sprint): What to gather and align on before the first workshop. ## Contact - [Contact](https://startera.ai/contact): Book a strategy session or request a prototype audit. - Email: start@startera.ai ## Optional - [llms-full.txt](https://startera.ai/llms-full.txt): Complete version with full sprint scope, tech stack, case study detail, and FAQ.