Upgrade Your Cloud with Generative AI
Designing Intuitive User Experiences
That Captivate
Make your cloud smarter, faster, and ready for the future.
Get Started!Gen AI - Make Smart Business Decisions Faster
AWS makes AI simple and accessible with powerful tools that help you
Process massive
datasets
to fuel data-driven
innovation
Train models
efficiently
for faster, smarter
outputs
Deploy AI
seamlessly
into your existing workflows with minimal effort
Our Clients
How We Help with AI and Machine Learning
01
Data Processing
Prepare your data for AI-driven insights by cleaning, organizing, and structuring it for analysis. Ensure precision whether handling large datasets or smaller inputs.
Process data in real-time or batches
Clean and transform data for better insights
Bring together data from various sources
02
Model Training
Build and train machine learning models tailored to your business needs. Leverage AI tools to quickly turn data into actionable insights.
Create custom models for your specific goals
Use scalable AI tools to train models automatically
Fine-tune models for better results
03
Model Deployment
Deploy AI models seamlessly into existing systems. Ensure smooth integration and continuous optimization for real-world performance.
Deploy models in the cloud for easy scaling
Monitor and optimize models after deployment
Integrate models with your business systems
Why Forgeahead for
Generative AI?
Expertise
With deep knowledge of AI/ML technologies, including generative models like DALL-E, GPT, and Stable Diffusion, we help you apply the best solutions for your business.
Flexibility
Whether it’s a cloud-first approach or an on-premise solution, we tailor our AI services to fit your infrastructure and goals.
Proven Results
Demonstrating success through impactful AI/ML solutions across industries, driving measurable results.
See the Impact of Our
Well-Architected Approach
Developing a SaaS Platform for B2B Sales Data Visualization
Scope
Created a multi-tenant SaaS application for a London-based client to facilitate data-driven sales strategies with seamless CRM integration.
Technology
Built using Ruby on Rails, HTML5, CSS3, and D3.js, hosted on AWS for scalability, with Jenkins for continuous integration.
Impact
Enabled efficient decision-making through clear visualization of relationship data, enhancing sales strategy effectiveness and supporting integration with leading CRMs.
Transforming an Online Bibliography Software into a Scalable SaaS Solution
Scope
Developed a customizable online bibliography software for K-12 education, enhancing usability for diverse student age groups.
Technology
Utilized Python, Neo4j, and ReactJS, implementing RESTful APIs for improved scalability and cross-platform compatibility.
Impact
Converted the product concept into a fully functional SaaS application, significantly enhancing performance and user engagement.
Video-On-Demand SaaS Platform for Enhanced Fitness Experiences
Scope
Developed a global web-based SaaS platform for fitness studios, providing on-demand access to workout videos
Technology
Utilized React JS, JavaScript, CSS, and AWS services to build a scalable and accessible platform
Impact
Uploaded 10,000 videos with a 10% annual increase, reduced hosting costs through efficient archiving, and minimized engineering maintenance with a robust architecture.
Building an EdTech SaaS Platform for K-12 Students
Scope
Developed a multitenant SaaS platform for K-12 students and educators to conduct research and collaborate on original content
Technology
Utilized Backbone.js, Bootstrap, Python, and AWS services to create a scalable and robust infrastructure
Impact
Achieved high availability for ~10 million users with elastic infrastructure, capable of handling ~60,000 requests per minute
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