PARABLEAI LABS
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Parable AI Labs / Services

Services.
Your next chapter,
built with AI.

Take your idea. Build a working product. Scale it efficiently. From focused MVPs to custom AI systems — we own the full journey.

Build with us
01 / Think02 / Build03 / Scale

MVP Development Packages

Three ways to go from idea to launch

Pick the package that matches where you are: testing an idea, raising your seed, or scaling to thousands of users.

Real work. Every package includes a product we’ve shipped.
Validation Build
01 · Starter MVP

Validation Build

Testing an idea quickly

2–4 weeks · 80–160 hours

What you get

  • Basic frontend (landing + core screens)
  • Backend setup (APIs + database)
  • AI integration (LLMs / simple workflows)
  • Prompt design
  • Cloud deployment
  • Basic analytics

We build a simple but functional version of your idea that users can actually try.

Think of this as a working prototype — not just a design.

Users can interact with it, test the core feature, and give feedback.

Real project we shipped

Case study

AI-Powered Financial Literacy App for Gig Workers

We built and shipped a Starter MVP of a financial literacy platform for gig workers — live with real users within weeks.

Watch the demo

Validation Build · product demo

Product demo · short walkthrough

What we built

  • Captured irregular income and expense patterns from gig workers
  • AI-driven budgeting and savings guidance based on user input
  • Recommendations for relevant financial products (insurance, savings tools)
  • Periodic nudges to improve financial habits

Outcome

  • — Enabled real user testing within weeks of kickoff
  • — Validated demand and usability with the target audience
  • — Generated insights that shaped the next phase of the product
Discuss this package
Investor-Ready Product
02 · Growth MVP

Investor-Ready Product

Launching and gaining early traction

4–8 weeks

What you get

  • Full web application (multi-user flows)
  • Scalable backend architecture
  • Advanced AI workflows (multi-step logic, context handling)
  • User authentication
  • 1–2 integrations (APIs / payments)
  • Admin dashboard
  • Deployment + monitoring

A fully usable product you can launch publicly, onboard users, and show to investors.

It goes beyond testing — it's your first real version in the market.

Real project we shipped

Case study

AI-Powered Learning Platform (LMS)

We designed and shipped a Growth MVP — a full AI-enabled LMS used by students, instructors and admins for live course delivery and demos to investors.

Watch the demo

Investor-Ready Product · product demo

Product demo · short walkthrough

What we built

  • Student app for course access and AI-assisted learning journeys
  • Instructor dashboard to author courses with AI (content, quizzes, plans)
  • Admin panel for user management, engagement and performance analytics

AI capabilities

  • Course structure generation
  • Content and quiz creation
  • Personalized learning flows and study planning

Outcome

  • — Reduced course creation time dramatically for instructors
  • — Faster go-to-market for course authors
  • — A strong, demo-ready product for investor conversations
Discuss this package
Full-Scale Launch Build
03 · Advanced MVP

Full-Scale Launch Build

Full-scale product launch

8–12 weeks

What you get

  • Polished, UX-focused frontend
  • Robust, scalable backend
  • Advanced AI systems (RAG, agents, custom workflows)
  • Complex integrations
  • Role-based access control
  • DevOps (CI/CD pipelines)
  • Analytics + performance optimization
  • Security best practices

A serious, production-ready product designed to handle real users at scale,

deliver consistent performance, and support business growth.

Real project we shipped

Case study

AI-Powered Storyboarding & Emotional Learning Platform

We built a production-grade platform for parents and children focused on improving emotional intelligence — multi-role, AI-driven, and live in market.

Demo video coming soon

Full-Scale Launch Build · product demo

Product demo · short walkthrough

What we built

  • Child experience with interactive stories and adaptive storyboards
  • Parent interface to set goals, track progress and access activities
  • Admin dashboard for users, content and analytics

AI capabilities

  • AI-generated storylines based on emotional goals
  • Personalized recommendations driven by user behavior
  • Multi-agent workflows for story creation and activity suggestions
  • Context-aware learning and progression

Outcome

  • — High engagement and repeat usage from real families
  • — Scalable AI content generation pipeline
  • — Strong differentiation in the edtech / parenting space
Discuss this package

Ongoing Support & Growth

We stay on as your long-term tech & product partner

Post-launch we cover system stability, continuous improvements, and real-world validation — across engineering, QA and user feedback.

Core Support

Engineering, AI & Maintenance

  • Feature enhancements and iterative releases
  • AI improvements (prompt tuning, workflow optimization)
  • Model monitoring and performance tuning
  • Infrastructure management (cloud, APIs, scaling)
  • Bug fixes and system stability
  • Security patches and updates
Goal · Keep the product reliable, scalable, and continuously improving.

Testing & QA

Technical Validation

  • Functional testing — features vs requirements, end-to-end workflows
  • Regression testing — protect existing features on every release
  • UAT support — environment setup, coordination, issue resolution
  • Performance testing — load, response, bottleneck analysis
  • AI output validation — accuracy, consistency, edge cases
Goal · Ensure your product works reliably in real-world conditions.

Beyond the Packages

Custom Builds — tailored AI products, integrations & internal tools

Not every problem fits a Starter, Growth or Advanced MVP. When you need something built from the ground up — a niche AI workflow, a deep integration into existing systems, or an internal tool for your team — we scope, design and ship it as a dedicated engagement.

Bespoke AI Systems

Custom RAG pipelines, multi-agent workflows, fine-tuned models, evaluation harnesses and domain-specific copilots — built for your data and your users.

  • Discovery + technical scoping
  • Architecture tailored to your stack
  • Production-grade deployment

Integrations & Automations

Connect AI into the tools you already use — CRMs, ERPs, data warehouses, internal APIs and third-party SaaS — with reliable, observable pipelines.

  • API + webhook integrations
  • Workflow automation
  • Monitoring & error handling

Internal Tools & Dashboards

Operational dashboards, admin consoles, ops tooling and AI-assisted internal apps that make your team faster — built only for the workflows that matter.

  • Role-based access
  • Custom analytics views
  • Iterative delivery

How We Get Started

A fast, structured onboarding — so execution begins quickly

STEP / 01

1–2 days

Quick Alignment

Understand your idea and goals. Review existing material (docs, designs, flows). Outcome: clear product vision.

STEP / 02

2–4 days

Define MVP Scope

Break the idea into features, identify AI components, finalize timelines and milestones. Outcome: scope + execution plan.

STEP / 03

Day 0

Kickoff

Commercials finalized. Team assigned (Frontend, Backend, AI).

STEP / 04

Weekly sprints

Build in Sprints

Weekly progress updates, regular demos, continuous feedback. You're involved throughout.

STEP / 05

Launch

Go Live

Testing, bug fixes, deployment to production.

STEP / 06

Ongoing

Post-Launch Support

Stabilization, improvements, scaling support.

Why Work With Us

Built for founders who need speed, clarity and AI depth

Speed-first execution

MVPs delivered with a quick turnaround — no months-long discovery phases.

Clear scope & structure

Every engagement starts with a tight scope and weekly demos. No ambiguity.

AI-native expertise

We design for real-world AI performance: RAG, agents, evaluation, observability.

End-to-end ownership

From idea to live product, including QA, deployment and post-launch growth.

IdeaBuildLaunchScale