AI Development Company
Machine Learning · Deep Learning · NLP · Computer Vision
Miracuves is an AI development company that builds intelligent applications using machine learning, deep learning, natural language processing, and computer vision. From intelligent automation to generative AI, we deliver production-ready AI solutions with complete source code ownership and full IP safety.
How Miracuves delivers AI solutions — from 200+ projects of real experience
After delivering 200+ AI deployments, Miracuves has a proven methodology for building intelligent applications. We start from 50+ production-grade AI modules — already trained, validated, and integrated with data pipelines, APIs, and deployment infrastructure — not from a blank notebook.
Our approach covers the full AI lifecycle: problem definition, data preparation, model development, deployment, and ongoing monitoring. Every project ships with complete documentation, model cards, training pipelines, and inference APIs.
Who this service is built for: Founders and product teams building intelligent applications — chatbots, recommendation engines, document processors, predictive analytics, content generators, and computer vision systems. Miracuves AI development fits when you need a production-ready AI solution with published pricing, full IP ownership, and a company accountable for delivery. If your problem can be solved with a simple rules-based system or off-the-shelf API, we will say so upfront.
From our AI team — Document Processing Platform, 10 weeks
"Enterprise-grade document intelligence pipeline processing invoices, contracts, and forms. Used LayoutLM for document understanding, deployed as a FastAPI service with Redis caching and PostgreSQL storage. Achieved 85% automation rate for document classification and 92% extraction accuracy on structured fields. Delivered with full training pipeline, model card, and API documentation."
Why AI at Miracuves
What Miracuves has deployed — what you can launch today
Streaming
Netflix Clone
Video streaming platform with tiered subscriptions, user profiles, content library.
E-commerce
Amazon Clone
Multi-vendor marketplace with product catalog, cart, secure payments, reviews.
Super App
Gojek Clone
Modular architecture handles 20+ services in one app — rides, delivery, payments.
B2B Marketplace
Alibaba Clone
B2B wholesale platform with bulk ordering, supplier verification, trade assurance.
EdTech
Byjus Clone
Online learning platform with interactive lessons, assessments, progress tracking.
HealthTech
Practo Clone
Healthcare platform with doctor booking, teleconsultation, health records, pharmacy.
AI Development vs Off-the-Shelf API vs DIY Data Science — which is right for your project?
Most AI companies avoid this question because they only sell one approach. Miracuves answers it honestly — your AI strategy determines long-term cost, accuracy, and maintenance.
| Metric | AI Development (Miracuves) ← MIRACUVES DEFAULT |
Off-the-Shelf API | DIY Data Science Team |
|---|---|---|---|
| Model Accuracy | 96% avg. — custom trained on your data | 70–85% — generic, not tuned to your domain | Variable — depends on team expertise |
| Time to Production | 6–14 weeks — pre-built modules accelerate | Days — quick integration, limited capability | 6–12 months — hire, build infra, iterate |
| Customization | Full — model architecture, data, training all yours | Limited — only what the API exposes | Full — complete control over every decision |
| Data Privacy | 100% — your data stays on your infrastructure | Shared — data sent to third-party servers | Full — complete control over data |
| Best For | Custom AI · high accuracy · IP ownership | Quick prototypes · simple tasks | Large teams · research · long timelines |
Choose AI Development if…
You need high accuracy trained on your proprietary data · full IP ownership of models · customization beyond what APIs offer · production-ready with monitoring and retraining.
Consider an alternative if…
Your use case is simple and covered by an existing API · you have a full in-house data science team already · your accuracy requirements are low. We will tell you honestly →
How Miracuves engineers structure ML pipelines for production
These are the specific decisions our engineering team makes on every AI project — choices that determine whether a model ships on time and maintains accuracy in production.
Architecture — Modular ML Pipeline
Strict separation: Data Ingestion → Feature Engineering → Model Training → Evaluation → Deployment → Monitoring. Every stage is independently testable, versioned, and deployable. This is how Miracuves delivers a new AI module in 6 weeks without rearchitecting the pipeline.
Experiment Tracking — MLflow for Every Run
Every training run is logged with parameters, metrics, artifacts, and environment. The most common problem inherited from other teams: models trained in notebooks with no reproducibility. We eliminate this on day one as a hard standard — not a suggestion.
Inference — Containerized with Monitoring
Models are packaged in Docker containers with REST APIs via FastAPI. Every endpoint has Prometheus metrics for latency, throughput, and prediction drift. We monitor for data drift and trigger retraining automatically when accuracy drops below threshold.
What most AI agencies get wrong
Training on the full dataset without validation splits. No feature store. Models that pass tests but fail in production due to data drift. No monitoring or retraining pipeline. Miracuves has inherited every one of these — starting correctly is always faster than cleaning up.
Three ways Miracuves delivers your AI project
Every engagement is with Miracuves as a company — a complete team, a defined process, and full delivery accountability. Choose the model that matches your project stage.
Readymade Clone · Fixed Price
White-Label Clone Delivery
Miracuves deploys a production-grade clone under your brand — iOS + Android + Admin Panel — in 3–9 days. Source code fully yours.
Custom Development · Scoped
Custom AI Build
Miracuves builds from your specification — custom architecture, custom flows, unique features. Full team: engineer, backend, QA, PM.
Ongoing Retainer · Monthly
Ongoing AI Development
Miracuves works as your ongoing development partner — new features, releases, maintenance on a monthly retainer with weekly sprint demos.
How Miracuves ensures every AI delivery meets production standard
Every project passes through Miracuves' quality gates before handoff — not as a checklist, as a non-negotiable delivery standard applied to every codebase we ship.
Our 6 Continuous Delivery Gateways
Every line of code, asset asset, and build profile must successfully clear all six quality control gates before repository handoff.
Code Review on Every Pull Request
Every line merged into your main branch is reviewed by a senior Miracuves engineer. No untested code reaches your production environment under any circumstances.
Automated Test Coverage Required
Unit tests for business logic, widget tests for UI components, and integration tests for critical user flows. Minimum coverage enforced before any release build is created.
Release Builds Profiled — Not Debug Builds
Miracuves profiles performance using AI DevTools on every release build. Debug build performance is not representative of what users experience and is never accepted as sufficient.
Handoff Package — Not Just a Repository
Source code, documentation, environment setup guide, API documentation, deployment credentials, store credentials, and post-launch runbook — all included in every project handoff.
App Store Submission — Full Compliance Managed
Miracuves handles provisioning profiles, signing certificates, store listing creation, screenshot assets, compliance checks, and App Store review coordination for both iOS and Android.
Post-Launch Monitoring — 60-Day Active Support
Crashlytics and Firebase Analytics configured pre-launch. Miracuves monitors crash rates and performance metrics during the 60-day post-launch support window — proactive, not reactive.
The AI stack Miracuves ships with
Matched to your architecture and delivery requirements — not a one-size-fits-all default.
From brief to deployed AI app — what happens and when
Every AI engagement follows the same delivery spine — whether you start from a readymade clone or a custom spec. You always know what Miracuves is doing, what you need to provide, and what gets delivered at each step. Timelines below reflect our standard clone sprint; custom builds run milestone-based with the same checkpoints.
Brief & NDA
Share your concept via WhatsApp. NDA signed same day. We ask 6 specific questions.
Scope & Plan
Right solution base, stack, and model confirmed. No payment before scope is agreed.
Build & Demo
Repo created, architecture set. First commit in 24h. Weekly working demo runs.
QA & Polish
Tested on real iOS/Android devices. Profiles optimized for Store guidelines.
Launch & Handoff
Full code and docs delivered. Store submissions handled. 60 days active support.
What AI development costs at Miracuves
We publish prices because we are confident in what we deliver. No "contact us for pricing" pages. No hidden fees after scope is agreed.
Readymade Clone
Fixed price · 3–9 day delivery · scoped
- AI app — iOS + Android
- Admin panel included as standard
- Branding and white-label applied
- Full source code on handoff
- 60-day post-launch support
- NDA protected from day one
Custom AI Build
Scoped before build · milestone billing
- Full AI team — engineer + backend + QA
- Custom architecture for your spec
- Weekly sprint demos — working software
- App Store and Play Store submission
- Full source code · complete IP transfer
- Milestone billing — no pay before delivery
Ongoing Development
Monthly retainer · cancel with 2 weeks notice
- Miracuves team assigned to your product
- New features, releases, and maintenance
- Weekly demos and sprint planning
- Direct communication — no relay
- Scales up or down as needed
- All code remains 100% yours
What affects AI project cost at Miracuves
Readymade clone pricing stays fixed when scope matches the base product. Custom AI builds scale with: number of user roles (customer, driver, admin, vendor), real-time features (live GPS, chat, video), payment and compliance integrations (BaaS, KYC, multi-currency), multi-city or multi-language rollout, and third-party SDKs beyond the standard stack.
Typical AI budget ranges
Readymade clone: from $2,499 · 3–9 days.
Custom MVP: $8,000–$25,000 · 4–10 weeks depending on scope.
Ongoing retainer: from $2,299/month for feature work and maintenance.
Every quote is written before payment — no surprise invoices after kickoff.
What a real AI project looks like at Miracuves
A US-based logistics company needed to automate invoice processing, contract extraction, and compliance document classification — processing 50,000+ documents per month with high accuracy.
The Challenge
Manual document processing across 12 departments was taking 200+ hours per week with 15% error rates. Off-the-shelf OCR APIs failed on handwritten notes and multi-language invoices. Needed a custom AI solution that could handle diverse document formats.
What Miracuves Delivered
Custom document intelligence pipeline using LayoutLM for document understanding, Tesseract OCR with custom post-processing for handwriting, and a fine-tuned BERT model for entity extraction. Deployed as a FastAPI service with Redis caching and PostgreSQL for audit trail.
Outcome
85% automation rate for document classification. 92% extraction accuracy on structured fields. Processing time reduced from 200 hours to 18 hours per week. Full training pipeline, model cards, and API documentation delivered.
Client Testimonial
"We were drowning in manual document processing — 200 hours a week across 12 teams. Miracuves built an AI pipeline that handles 85% of it automatically. The model handles handwritten notes on invoices that every off-the-shelf API failed on. Our operations team went from firefighting to strategic work."
M.K., VP Operations
US Logistics Platform · Document Automation
Project Brief
What clients say about Miracuves AI development
Across document processing, recommendation engines, and conversational AI — from enterprise teams to funded startups — verified on Clutch and Google.
Clutch · Document Intelligence
"Miracuves delivered a document processing AI that handles invoices, contracts, and forms our team was spending 200 hours a week on. The model accuracy on handwritten fields surprised our ops team. FastAPI deployment with Redis caching made integration trivial. Full pipeline documentation was delivered alongside the code."
Google Reviews · Recommendation Engine
"We needed a recommendation engine for our e-commerce platform that could personalise across 50,000+ products. Miracuves built a hybrid collaborative filtering and content-based system that increased our average order value by 34% in the first month. A/B testing infrastructure was built in from day one."
Clutch · Conversational AI
"Launched a multi-LLM customer support chatbot with RAG architecture in 8 weeks. Miracuves handled everything from data preprocessing to deployment on AWS SageMaker. The admin dashboard gives us full visibility into conversation analytics, and the retrieval-augmented generation ensures accurate, grounded responses."
Questions about AI development at Miracuves
What types of AI solutions does Miracuves build?
Miracuves builds a wide range of AI solutions: conversational AI chatbots and assistants, recommendation engines, document processing pipelines, predictive analytics systems, content generation platforms, and computer vision applications. Each solution starts from one of 50+ pre-built AI modules and is customised to your specific data and use case.
Does Miracuves deliver the full model source code and training pipeline?
Yes — completely. Miracuves delivers the full model code, training pipeline, experiment logs, model card, inference API, and deployment configuration. Zero lock-in. Your team or any other AI team can retrain, fine-tune, or extend the models immediately after handoff.
How long does it take to deliver a production AI solution?
A scoped AI deployment — covering model development, training, evaluation, API deployment, and monitoring — ships in 6–14 weeks depending on complexity. Custom models requiring novel architecture or large dataset training take 12–20 weeks. All timelines are stated in writing before any payment is requested.
AI Development vs off-the-shelf API — which does Miracuves recommend?
For most custom solutions needing high accuracy, data privacy, and full IP ownership — custom AI development is right. Miracuves recommends off-the-shelf APIs honestly when your use case is simple, covered by existing APIs, and accuracy requirements are moderate. We will tell you which fits before any commitment.
What data do I need to provide for an AI project?
For most projects, Miracuves needs labelled or unlabelled data relevant to your use case — historical records, documents, images, text, or user behaviour data. If you do not have sufficient data, Miracuves can help with data collection strategies, synthetic data generation, or transfer learning from pre-trained models.
How does Miracuves handle model monitoring and retraining?
Every Miracuves AI deployment includes Prometheus-based monitoring for prediction drift, data drift, latency, and throughput. Automated retraining pipelines are configured to trigger when accuracy drops below a configurable threshold. You receive alerts and can review retraining results before promoting to production.
Can Miracuves integrate AI into my existing application?
Yes. The majority of Miracuves AI deployments integrate with existing applications via REST APIs, message queues, or streaming pipelines. Whether you have a mobile app, web platform, or enterprise system, the AI service layer is designed to plug into your existing architecture with minimal changes.
How does Miracuves handle NDA and data confidentiality for AI projects?
Miracuves signs a bilateral NDA before any project details are shared. All training data stays on your infrastructure or in your cloud account. Model artifacts are delivered with full ownership transfer. An IP assignment agreement confirming 100% ownership is signed at project start — not at the end.
Ready to build your AI solution with Miracuves?
Tell Miracuves what you are building. We will confirm the right AI approach, service model, and delivery timeline — in writing, before any commitment is required from you.