Ship MVPs fast, scale with cloud-native architecture, and integrate AI where it drives product value.
Fremen Consulting builds SaaS products and startup MVPs — from first release to growth-stage platforms with cloud-native backends, modern frontends, subscription billing, and AI-powered features.
Problems we solve for businesses like yours
Founders lose runway building the wrong features or wrestling with infrastructure instead of validating product-market fit. Without a focused MVP scope and proven tech stack, launch dates slip and competitors move first.
Early shortcuts — monolithic codebases, manual deployments, no observability — create technical debt that slows every feature after your first hundred customers. Scaling becomes a rewrite instead of an iteration.
Adding LLMs because investors expect it, without clear user value, wastes budget and creates unreliable UX. You need pragmatic AI integration tied to real workflows, not demo-grade chatbots.
Solutions tailored to your industry and growth goals
Scoped MVPs with React, Node.js, and cloud-native backends that get you to market in weeks — with analytics, auth, and billing hooks ready for product-led growth.
AWS, Kubernetes, CI/CD pipelines, and observability so your team ships confidently as traffic and data grow without emergency fire drills.
RAG pipelines, agent workflows, and API integrations with OpenAI and Anthropic — built into your product where they improve outcomes, not just slide decks.
Technologies and platforms we work with in this space
Measurable outcomes from projects in this space
We migrated a legacy enterprise system to a cloud-native microservices architecture, cutting infrastructure costs by about 60% and improving scalability for peak traffic.
Delivered a subscription SaaS MVP with auth, billing, and admin dashboard that supported the founders through seed fundraising and first 500 paying users.
Clear answers to common questions in this industry
Most SaaS MVPs take eight to twelve weeks depending on scope, integrations, and compliance requirements. We start with a focused feature set that validates core value, then iterate based on user feedback and analytics rather than building everything upfront.
We typically recommend React or Next.js on the frontend, Node.js or Python on the backend, PostgreSQL for data, Stripe for billing, and AWS for hosting. The exact stack depends on your team, scale requirements, and whether AI or real-time features are core to the product.
Yes. We integrate OpenAI, Anthropic, and open-source models via RAG pipelines, vector databases like Pinecone, and agent frameworks like LangChain — scoped to features where AI measurably improves user outcomes.
Yes. We set up onboarding flows, in-app analytics, trial-to-paid conversion tracking, and integrations with tools like Mixpanel, Segment, and HubSpot so you can measure and optimize growth from day one.
Yes. We augment startup teams with full-stack engineers, DevOps specialists, and architects who integrate with your sprint cadence, code review process, and deployment workflows.
Tell us about your business and goals. We will recommend the right approach for your industry, timeline, and budget.