Prime Horizon AI Scene
It has become a prerequisite for companies to develop custom software products to stay competitive.
Here are the stuff we are working on right now
1. Orange Agent: AI Customer Service Solution
Objective
Apply intelligent automation where it makes a meaningful difference. We connect carefully selected models with your business context, clear evaluation criteria and responsible human oversight.
Key Achievements
- Designed and implemented a scalable architecture using RAG to process and respond to customer agent inquiries efficiently.
- Customized an intricate pipeline to handle unstructured data, ensuring accurate and contextually relevant responses.
- Deployment initiated for one of the largest telecom companies in global markets, setting a precedent for AI-driven customer service in the region.
Impact
Apply intelligent automation where it makes a meaningful difference. We connect carefully selected models with your business context, clear evaluation criteria and responsible human oversight.
2. Ollivander: Product Recommendation Platform
Objective
Apply intelligent automation where it makes a meaningful difference. We connect carefully selected models with your business context, clear evaluation criteria and responsible human oversight.
Key Achievements
- Developed a recommendation engine powered by natural language understanding to interpret user queries and suggest relevant products.
- Indexed product data in a vector database, enabling RAG to ensure high precision in responses.
- Enhanced search relevance, resulting in a seamless and intuitive shopping experience.
Impact
Apply intelligent automation where it makes a meaningful difference. We connect carefully selected models with your business context, clear evaluation criteria and responsible human oversight.
3. Previa: Conversational Interviewing Platform
Objective
Apply intelligent automation where it makes a meaningful difference. We connect carefully selected models with your business context, clear evaluation criteria and responsible human oversight.
Key Achievements
- Designed an AI conversational agent to simulate human interviewers, ensuring objective and consistent assessments.
- Successfully conducted nearly 50 candidate interviews as part of the Weekdemy program selection process.
- Automated feedback generation to assist hiring managers in evaluating candidate performance efficiently.
Impact
Build confidence into every release through structured quality assurance, thoughtful code review and continuous improvement. Clear acceptance criteria keep delivery aligned with your requirements.
4. Auto Query Agent: Autonomous Query Management System
Objective
Turn operational data into useful insight. We bring together dependable pipelines, clear reporting and accessible interfaces so teams can make informed decisions.
Key Achievements
- Leveraged RAG techniques for advanced context management, enabling the system to handle complex queries dynamically.
- Designed error-resolution mechanisms for self-correction, improving reliability and reducing manual intervention.
- Conducted extensive R&D to optimize system performance and enhance decision-making capabilities.
Impact
Apply intelligent automation where it makes a meaningful difference. We connect carefully selected models with your business context, clear evaluation criteria and responsible human oversight.
5. Automated Speech Recognition with Bangla
Objective
Build confidence into every release through structured quality assurance, thoughtful code review and continuous improvement. Clear acceptance criteria keep delivery aligned with your requirements.
Key Achievements
- Conducted extensive research using state-of-the-art models like Whisper and Wav2Vec2 for Bangla ASR.
- Focused on fine-tuning models and preparing datasets to improve recognition accuracy in challenging audio conditions.
- Proposed solutions to enhance model performance for low-resource languages.
Impact
Apply intelligent automation where it makes a meaningful difference. We connect carefully selected models with your business context, clear evaluation criteria and responsible human oversight.
6. Vin : Transforming interface development workflow
Objective
Make complex workflows feel simple. We explore user needs, shape accessible interfaces and refine each interaction around real tasks and measurable product goals.
Key Achievements
- Designed and implemented a system that automatically analyzes and structures complex interface components, improving the efficiency of building web applications.
- Developed a feature that seamlessly structures interface units, ensuring flexibility, scalability, and adaptability.
- Leveraged LLMs to generate clean, framework-agnostic solutions, automating the creation of well-structured, maintainable codebases tailored to the user’s needs.
Impact
Build confidence into every release through structured quality assurance, thoughtful code review and continuous improvement. Clear acceptance criteria keep delivery aligned with your requirements.
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