Numa Dhamani, a Principal Machine Learning Engineer at KUNGFU.AI, is writing the book on Generative AI. Learn more here!
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Engineering
Full-stack AI Solutions
We create full-stack AI solutions across product development, understanding, prediction, automation, and optimization to advance your business.
Getting started
We start each project by exploring and analyzing your data and then develop one or more prototypes to vet out various approaches.
We test and measure to ensure that we can meet or exceed your goals.
Once we have the best possible AI solution, we create production pipelines that integrate with your IT operations so you’re production-ready.
Once the model is implemented, we train your team to the desired extent so you continue to see value from your AI.
Product Development
Insert AI into your product or build an AI-based product.
IP development
Develop licensable software for your use case
Product enhancement
Add AI-enabled features to improve your product
DevOps
Implement streamlined operations to manage your infrastructure
API
Create backend services to generate insights from data
Microservices
Develop supplemental solutions that enhance your product ecosystem
User interface
Create visual entry points to engage with your product
Data Understanding
Dive into your data to know its context and deeper meaning.
Language processing
Discover insights in natural language
Image understanding
Find elusive patterns in image and video data
Trend analysis
Uncover trends in your data that inform decision-making
Anomaly detection
Detect edge cases that would otherwise go unnoticed
Network graph analysis
Analyze and visualize complex network data at scale
Signal enhancement
Enrich recorded signals with scientific analysis
Customer understanding
Discover insights about your customers
Prediction
Make sense of patterns to predict the future.
Trend forecasting
Predict future states using historical patterns
Personalization
Create a more tailored and gripping experience for your users
Threat detection
Identify anomalous and potentially dangerous events, enabling early mitigation
Automation
Free up your human time and effort with technology that is up to the task.
Recommendation systems
Create a personalized experience for your users
Generative models
Deeply intuit your domain, allowing generation of novel samples
Document data extraction
Extract structured data from documents at scale
Image understanding
Analyze visual data to inform downstream tasks
Summarization
Minimize cognitive load by limiting extraneous detail
Entity recognition
Detect and classify key information in large datasets
Change detection
Alert when important changes occur
Optimization
AI can optimize your resources, allowing them to deliver the best value.
Pricing
Model pricing strategies that maximize performance metrics
Genetic algorithms
Use intentional randomness to find creative solutions
Reinforcement learning
Train agents to intelligently interact with the world
Scheduling
Optimize precious and finite time and resources
Recent Resources
AI Industry Insights
Not Budgeting for AI Today is like Having Bet on the Slide Rule, Calculator or Fax
Case Study
Fraud Detection on Financial Transactions
It is frequently impractical to train supervised fraud-detection models from scratch, as large human-labeled datasets are rare and expensive to generate.
Case Study
We Saved Our Client $3 Million annually by Using Computer Vision for Predictive Maintence
Our client is a company that specializes in providing comprehensive solutions for the oil and gas industry.
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