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consultation Free Workshop
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We are building a smart platform to expedite the process of Model training for Machine learning and Artificial Intelligence.

What we do? makonis.ai

We help businesses move beyond proof of concepts and institutionalize Machine Learning.

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    NLP (Text Analytics)

    We can extract structure from any natural language documents, identify entities and relations, search and rank documents based on relevance, comprehend and take actions,  and perform many such tasks .

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    Computer Vision

    Image and Video similarity/classification, Object detection and tracking, Video analytics.

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    Predictive Analytics

    Understand associations between variables 

HOW IT WORKS PROCESS

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We bring your machine learning programs to life, by picking it up from any stage of your journey. Our services range from specific solutions for discrete problems to providing complete transformation expertise on strategy design, development, implementation, capability building and guidance to adopt for new ways of working..

  1. We start with a FREE AI WORKSHOP session, to explore opportunities in your business before you spend time and money on an AI solution. This is to validate that you indeed have a problem that can potentially be solved using a Machine learning approach, and to avoid force fitting an AI solution..
  2. We build an AI Business Case and move fast to validate it with an MVP within weeks..
  3. Finally, to ensure our clients’ success, we go beyond the delivery of new models to help them build the capabilities they need to sustain their AI advantage over long term, including adoption to new ways of working.

Accelerated transformation Approach

Our approach helps you validate the potential of your Use case within few weeks.

KICK-OFF : 2-5 Days
  • Understand goals & vision
  • Analyze Use Cases
  • Explore Data sources
BENEFITS CASE : 1-2 Weeks
  • Define success metrics
  • Solution architecture
  • PoC scope
PoC / MVP : 4-6 Weeks
  • Build AI service
  • Evaluate KPIs
  • Validate business case
  • Create AI Roadmap

Machine Learning process Framework

Step-1
Value Proposition
  • What are we trying to do for the end-user?
    What objectives are we serving?
step-2
Decisions
  • How are predictions used to make decisions that provide value to the end-user?
Step-3
ML task
  • Input, output to predict, type of problem.
Step-4
Data Sources
  • Which raw data sources can we use (internal and external)?
Step-5
Collecting data
  • How do we get new data to learn from ?
Step-6
Extract Features
  • Input representations extracted from raw data sources.
Step-7
Build Models
  • How often do we update models with new training data ?
Step-8
Offline evaluation
  • Methods and metrics to evaluate the system before deployment
Step-9
Making Predictions
  • How do we integrate predictions into the existing workflow ?
Step-10
Live Evaluation and Feedback
  • Metrics to evaluate a system after deployment, and to quantify value creation.

SERVICES SERVICES

Our experts have experience in diverse use cases such as below

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Predictive Analytics
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Virtual Agents
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Unstructured Document Analysis
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Automated E-mail Processing
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Emotion Analysis
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Text and Video Analytics
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Social Media Mining
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Supply Chain Optimization
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IoT Analytics
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Fraud / Anomaly / Intrusion Detection
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Personalization
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Data Labeling Services

Core Team Team

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Krishna Samanth
CEO & Co-Founder
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Ravi venkatesulu
Co-Founder, Chief AI Scientist
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Karthik Hegde
Machine Learning Expert
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Aditya
Product Manager

Advisors

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Dr. D.C. Kiran
Ph.D., BITS-Pilani

Associate Professor - Presidency University

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Dr. N Mehala
Ph.D., BITS-Pilani

Associate Professor-Presidency University

Our Technology Expertise
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Download DOCUMENTS

Read Our Documents

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Brouchure
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Pricing policy
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Privacy Policy
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Terms and conditions

Let's discuss how AI can help your Business.
Get an estimate for your Use case.

Address: 51, 3rd Cross, Ashwath Nagar, Marathahalli, Bengaluru