Empowering Businesses with Generative AI Solutions

Let's begin

Who We Are

AppliedGenAI.io has partnered with Innowinds to offer high-impact Generative AI services. A team of AI professionals with expertise spanning from ideation to productization, AppliedGenAI.io and Innowind are transforming how businesses use Generative AI.

The combined experience ensures clients receive robust and scalable solutions tailored to their unique needs.

Core Team

Ankush Anand

Chief Product Officer, Generative AI

Ankush has over 20+ years of industry experience, including more than 3 years focused on Generative AI. He ensures efficient delivery and execution of AI projects, aligning outcomes with client expectations.

Mohit Mittal

Chief Architect

Mohit brings over 20 years of technology experience, with more than 3 years in Generative AI. As Chief Architect, he leads technical strategy, ensuring AI solutions are robust, scalable, and aligned with client needs.

Why Choose Us

Productionizing Generative AI is a complex process involving challenges such as hallucination control, consistent model evaluation, maintaining output quality, managing costs, scalability, security compliance, and ensuring successful operational deployment. Our extensive experience guides organizations through every step of this journey, providing holistic, end-to-end support that encompasses:

Use Case Identification: Identifying the right opportunities where Generative AI can deliver significant business value.

Strategy & Project Planning: Structuring an AI plan that aligns with your overall business vision, including detailed project planning to guide implementation.

Architecture & Design: Crafting scalable and efficient architectures to ensure seamless integration of Generative AI solutions with existing systems.

Proof of Concept (POC) Development: Creating prototypes to validate ideas and understand potential impact before large-scale rollout.

MVP Development: Developing a Minimum Viable Product to quickly test Generative AI solutions in real-world environments.

Deployment & Growth: Building scalable systems that move beyond prototypes to real-world impact.

Ways of Working: Establishing clear collaboration methodologies, agile development practices, and continuous improvement to ensure successful outcomes.

Case Study

Academic Content Generation with Agentic RAG

Client

Leading EdTech Company

Challenge

The client needed to streamline the generation of academic content while ensuring the quality and relevance of educational material.

Solution

An Agentic Retrieval-Augmented Generation (RAG) solution was designed to generate high-quality academic content by integrating subject matter expertise, data retrieval mechanisms, and advanced generative capabilities. A robust evaluation framework was also created to ensure the generated content was pedagogically sound, relevant, and aligned with diverse learner needs.

Architecture Diagram

Outcome:

The solution significantly improved content development efficiency, reducing manual content creation efforts by over 50% while providing personalized academic material that enhanced learner engagement. KPI cards, such as a Generative AI Score Card, Solution Effectiveness indicators, and Accuracy metrics, were introduced to track performance and ensure consistent quality improvements.

Pricing Model

Consultations

Billed hourly, tailored to expertise requirements.

  • Expert consultation
  • Hourly billing
  • Flexible schedule

Advisory Services

Engagement-based pricing for Generative AI strategy and roadmap.

  • End-to-end planning
  • High-level architecture
  • Tech stack recommendations

POC Development

Custom pricing for prototypes based on scope and requirements.

  • Rapid prototyping
  • Custom solutions
  • Clear deliverables

Full Development

Project-based pricing for scalable Generative AI solutions.

  • Comprehensive development
  • Scalable solutions
  • End-to-end delivery

If you have any questions, feel free to reach out to us:

hello@appliedgenai.io