IOanyT Innovations

We Don't Just Talk AI Strategy—We Build Production AI Products

End-to-end AI/ML product development from concept to AWS Marketplace.

Proven with TheHeartbeat.ai—our flagship SaaS platform processing millions of call minutes.

Most AI consultants talk strategy. We build, deploy, and scale production AI systems.

Our flagship product TheHeartbeat.ai is live on AWS Marketplace, processing millions of contact center calls with real-time AI analytics. We understand the full AI product journey because we've done it ourselves—from ideation to monetization.

AWS
Marketplace Listed
9+
Years AI/ML
45+
Languages
HIPAA
Ready

We Built Our Own AI/ML SaaS Product from 0→1

TheHeartbeat.ai is our flagship AI-powered call analytics platform—proof of our end-to-end AI product development capabilities.

AWS
Marketplace SaaS
Millions
Call Minutes
45+
Languages
28%
Quality Improvement

What TheHeartbeat Does:

AI-powered call analytics that analyzes 100% of contact center calls in real-time:

  • Speech-to-text in 45+ languages (mono/stereo)
  • Sentiment and emotion analysis
  • Call quality scoring and agent performance tracking
  • Real-time alerts and batch analytics
  • Integration with Google Drive, Dropbox, Box, GCP

Built on: AWS SageMaker, Lambda, S3, RDS | React dashboard | NLP models | Scalable, HIPAA-ready

100%
Call coverage vs. 2-5% manual
28%
Agent quality improvement
15%
Customer satisfaction increase

💡 Why This Matters: TheHeartbeat proves we can build AI/ML products from concept to AWS Marketplace, handle real production data at scale, and deliver measurable business outcomes.

Our AI/ML Capabilities

Natural Language Processing (NLP)

  • Speech-to-text & text-to-speech
  • Sentiment & emotion analysis
  • Named entity recognition
  • Chatbots & conversational AI

Computer Vision

  • Object detection & classification
  • Facial recognition & analysis
  • Image segmentation
  • OCR & document processing

Predictive Analytics

  • Time series forecasting
  • Churn prediction
  • Demand forecasting
  • Recommendation engines

AWS AI Services

  • SageMaker model training & deployment
  • Rekognition & Textract
  • Comprehend & Translate
  • Bedrock (LLMs & Foundation Models)

End-to-End AI/ML Product Development

1

Discovery & Feasibility

Define use case, assess data availability, validate AI applicability, estimate ROI

2

Data Strategy & Preparation

Data pipeline design, labeling, cleaning, augmentation, versioning

3

Model Development

Experiment tracking, hyperparameter tuning, model selection, evaluation metrics

4

Production Deployment

Scalable inference, monitoring, A/B testing, CI/CD integration

5

Monitoring & Optimization

Performance tracking, model drift detection, retraining pipelines, continuous improvement

Ready to Scale Your Engineering?

Book a free discovery call. We'll discuss your challenges and explore whether we're a good fit—no sales pressure.

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