MindVersa
AI Engineering Team · 50+ Projects

AI Systems ThatDeliver Results.

End-to-end AI software — chatbots, automation, data platforms, and custom systems built by engineers for measurable business outcomes.

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Models Deployed
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Data Points Processed
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Average Accuracy
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Python · TensorFlow · PyTorch · Scikit-learn · LangChain · HuggingFace · OpenAI · FastAPI · Docker · Kubernetes·
Machine Learning · Deep Learning · Computer Vision · NLP · Data Engineering · MLOps · Predictive Analytics · LLMs · RAG·
WHAT WE BUILD

End-to-End AI & Data Engineering

From raw data to production-ready AI systems — every layer handled in-house.

Core Service

ML Model Development

Custom training, fine-tuning, and deployment of classification, regression, and deep learning models.

99%+ accuracy on production models
New ★

RAG-Based AI Systems

Knowledge-grounded AI with vector search, document Q&A, and enterprise search on your private data.

Zero hallucinations on domain knowledge
New ★

AI Agents & Agentic Workflows

Autonomous agents built with LangGraph and CrewAI that plan, reason, and execute multi-step tasks.

Full task automation end-to-end
NLP / LLM

NLP & LLM Integration

RAG systems, fine-tuned LLMs, semantic search, and custom AI assistants on your data.

Custom models on your own data
Vision

Computer Vision

Object detection, image classification, OCR, and real-time video inference pipelines.

Real-time inference at scale
Data Layer

Data Engineering & ETL

Robust data pipelines, dataset transformation, and scalable warehouse architecture.

10M+ data points processed daily
New ★

Predictive Analytics

Forecasting, demand prediction, churn modeling, and risk scoring deployed to production APIs.

89% forecasting accuracy achieved
New ★

MLOps & Production Deployment

CI/CD for ML models, containerized serving, monitoring, drift detection, and auto-retraining.

Zero-downtime model updates
Automation

AI Workflow Automation

n8n, Make.com, and custom API orchestration for intelligent business process automation.

80% reduction in manual tasks
Full Stack

Full-Stack AI Software

Production AI software with FastAPI backends, React frontends, dashboards, and REST APIs.

Production systems shipped fast
How We Work

From Discovery to Deployed in 5 Days

A lean engineering workflow from technical discovery to production deployment.

01

Discovery

Free 30-min call. We map your data, goals, and technical constraints.

02

Blueprint

Architecture plan with tools, models, timeline, and fixed scope.

03

Build & Test

Engineering, training, and validation until quality gates pass.

04

Deploy & Monitor

Production rollout with monitoring, docs, and team handoff.

REAL RESULTS

Data That Proves Our Work

Measured outcomes from production AI systems across multiple industries.

Manufacturing · UK

Defect detection cut QA costs by 67%

Computer Vision · YOLOv8 · FastAPI

BeforeManual inspection: 4 hours/shift
AfterAI inspection: 12 minutes/shift
IndustrialEdge LtdMark Davies, CTO
FinTech · USA

Fraud detection model saves $2.3M/yr

XGBoost · Real-time API · Supabase

BeforeFraud loss rate: 2.8%
AfterAfter ML model: 0.3%
PaySafe CorpJessica Liu, Head of Risk
Retail · UAE

Demand forecasting improved by 89%

Time Series · Prophet · Tableau

BeforeOverstock cost: $180k/quarter
AfterAfter AI: $19k/quarter
RetailFirst GroupKhalid Al-Mansoori, COO
OUR TECH STACK

Production-Proven Tools

Battle-tested technologies we ship in production — not slide decks.

AI / ML
PythonTensorFlowPyTorchScikit-learnXGBoostHuggingFaceLangChainOpenAIAnthropic ClaudeLlamaIndexKeras
Data & Backend
FastAPIPostgreSQLSupabaseRedisApache SparkAirflowDockerKubernetesAWSGoogle CloudVercel
Frontend & Tools
Next.jsReactTypeScriptTailwindn8nMake.comGrafanaMetabaseTableauGit
PRICING

Transparent Pricing. Real ROI.

No retainers disguising inactivity. Pay per project or monthly.

Starter

Small automations, single ML models, and quick data analyses.

$499/ per project
  • 1 ML model or automation pipeline
  • Data cleaning and preprocessing
  • Model training and validation report
  • API endpoint (FastAPI)
  • 2 weeks of post-launch support
  • Dashboard or frontend
  • Ongoing monitoring
Start a Project
Most Popular

Growth

For teams that need continuous AI development and delivery.

$1,499/ per month
  • Up to 3 concurrent projects per month
  • ML models and data pipelines
  • Real-time dashboard (React + Supabase)
  • API and frontend development
  • Weekly progress reports
  • Priority Slack support (4hr response)
  • Monthly model performance review
  • 30-day results guarantee
Get Started

Enterprise

Large-scale AI transformation with a dedicated engineering team.

Custom
  • Unlimited projects
  • Dedicated AI engineer (40 hrs/week)
  • Custom model fine-tuning and MLOps
  • Full-stack AI system integration
  • Data warehouse architecture
  • SLA: 99.9% uptime guarantee
  • 24/7 support and emergency hotline
  • Quarterly AI strategy review
Book a Call
TESTIMONIALS

What Clients Say

Feedback from engineering leaders after real-world deployments.

The computer vision system replaced three full-time QA inspectors and catches defects our team was missing. ROI was positive within six weeks.
MD

Mark Davies

CTO · IndustrialEdge

United Kingdom

They built our fraud detection model from scratch — data cleaning, feature engineering, training, and API deployment. Genuinely impressed by the technical depth.
JL

Jessica Liu

Head of Risk · PaySafe

United States

Demand forecasting is now accurate to 94%. We reduced overstock by 89% and freed working capital we did not know we were losing.
KA

Khalid Al-Mansoori

COO · RetailFirst

United Arab Emirates

Not just coders — actual AI engineers who understand the business problem first. The NLP pipeline processes 10,000 customer reviews overnight.
EC

Emma Clarke

CMO · Vibe Agency

Australia

Their workflow automation connected our CRM, billing, and support stack end to end. We cut 26 hours of manual work per employee each week within the first month.
SM

Sarah Mitchell

Founder · CloudDesk

United States

We were drowning in WhatsApp updates and Excel sheets. They hooked our dispatch board to live tracking — drivers hate fewer phone calls, which is how I know it worked.
OF

Omar Farooq

Operations Lead · Karachi Freight Co.

Pakistan

Honestly I expected a demo that never shipped. We got a working intake triage assistant in production, and our nurses stopped asking me when the pilot would end.
PN

Priya Nair

Product Manager · Hearthline Health

Canada

FAQ

Common Questions

Practical answers about hiring an ML partner, chatbots, data quality, security, and model performance.

We handle the full spectrum: predictive models, NLP systems, computer vision, recommendation engines, data pipelines, MLOps setup, and full-stack AI applications.
FREE STRATEGY CALL

Have a Problem AI Can Solve?

Book a free technical discovery call. We will tell you clearly what is feasible, what is not, and the fastest path to production.

50+ projects8 industries4 countries
CONTACT

Let's Build YourAI Solution

Tell us your problem. We'll tell you if AI can solve it — and exactly how we'd build it.

Reply within 2 hours on business days

Available US · UK · EU · AUS · ME

What happens next

  1. 1We review your brief within 2 business hours
  2. 2You get a clear yes/no on AI feasibility
  3. 3If it fits, we send a scoped next-step plan

Project Inquiry Form