Straight answers about how we work, how we price, and what you can expect from a senior-only engineering team.
Inventiple is an AI-first software development company. We build startup MVPs, AI products, and custom software for funded founders and scaling teams. Every project is handled by 100% senior engineers — no junior hand-offs.
We are a globally distributed team. Our clients are based across the US, UK, Europe, the Middle East, and Australia. We work async-first with overlap hours in your timezone.
Since 2020. We've delivered 100+ projects for 50+ clients across industries including FinTech, HealthTech, EdTech, SaaS, and e-commerce.
Book a free 20-minute strategy call at inventiple.com/contact. You'll speak directly with a senior engineer — not a salesperson.
During Week 1 we define your product requirements, design the system architecture, and produce a fixed project quote. You approve scope and cost before we write code.
Every week you attend a live Friday demo. You also have access to the shared project board (Linear / Jira) and a dedicated Slack channel with your team.
No. We translate technical decisions into plain language. You make the product decisions; we handle the engineering.
Most MVPs land between $20,000 and $45,000 depending on features, platform (web vs mobile), and design complexity. Use our cost estimator (/pricing) for a personalised range.
Our standard delivery is 8 weeks for an MVP. Larger growth products take 10–14 weeks. Enterprise platforms typically run 16–24 weeks.
Yes. After discovery we give you a fixed quote. No hourly billing, no scope creep surprises. Any additions are quoted separately as change orders.
Yes. Many clients start with an MVP ($20k–$45k), validate with real users, then return for a V2 Growth Product build.
Never. 100% of code is authored or reviewed by senior engineers with an average of 10+ years of experience. This is not a marketing claim — it's a policy.
We are framework-agnostic and choose the best tool for your use case. Our most common stack: Next.js / React (frontend), Python / Node.js (backend), PostgreSQL / MongoDB (database), AWS / GCP / Azure (cloud), OpenAI / Anthropic (AI layer).
Yes. 100% of the codebase is transferred to your Git repository on delivery. You own everything — code, assets, infrastructure definitions, documentation.
Yes. We implement automated testing (unit, integration, end-to-end) on all critical paths as a standard part of delivery — not an optional add-on.
Every project includes a security review before launch. For regulated industries (HealthTech, FinTech) we can include HIPAA/GDPR/SOC2 compliance support.
We build AI chatbots, autonomous AI agents, RAG systems (custom knowledge bases), LLM-integrated SaaS products, computer vision pipelines, and AI dashboards.
OpenAI GPT-4o, Anthropic Claude, Google Gemini, Mistral, Llama 3, and custom fine-tuned models. We select the right model for your use case — not just the most popular one.
Yes. AI integration into an existing codebase typically takes 4–8 weeks depending on complexity.
Yes. We design AI systems for production scale from the start — including vector databases, caching layers, rate limiting, and cost management.
Every project includes 30 days of free bug-fix support. After that, optional retainer plans are available starting at $3,500/month.
Yes. We offer maintenance-only plans (security patches, OS updates) and active growth plans (new features every sprint). Many clients work with us for 2+ years.
We support this. We'll document the codebase thoroughly and can assist with technical interviews for your in-house hires if needed.