GEN AI SERVICES WITH DETAILS
Gen AI-Powered Knowledge Assistants
These intelligent assistants are designed to connect with internal data sources, enabling organizations to harness their knowledge base effectively. Real-time query resolution using natural language processing (NLP).
Voice-Based Applications
Voice-enabled applications powered by Gen AI provide seamless and intuitive user experiences. Speech-to-text and text-to-speech capabilities for natural interactions. Voice-driven workflows for hands-free operations. Integration with IoT devices and smart assistants.
Digital Bots
AI-driven bots automate interactions and processes, enhancing efficiency and user satisfaction. Conversational AI for natural and engaging interactions. Multi-channel deployment (web, mobile, messaging platforms). Integration with backend systems for end-to-end automation.
Custom Gen AI Solutions
Tailored solutions designed to address specific business challenges using Gen AI. Custom model training and fine-tuning for domain-specific tasks. Integration with existing workflows and systems. Scalable and secure deployment options.
Gen AI AND
MLOPS
Generative AI and MLOps are revolutionizing product engineering by combining cutting-edge creativity with robust machine learning operations. Generative AI enables rapid prototyping, design optimization, and the creation of innovative solutions.
AI Ethics and Governance
Ensuring responsible and ethical use of Gen AI. Bias detection and mitigation in AI models. Explainability and transparency in AI decision-making. Compliance with data privacy regulations (e.g., GDPR, CCPA).
- Understand the business problem and define clear use cases for Gen AI.
- Assess ethical considerations, risks, and compliance requirements.
02
- Collect, clean, and preprocess data to ensure it is suitable for training and fine-tuning
- Gather relevant datasets from internal and external sources Remove duplicates, handle missing values
03
- Seamlessly connect the Gen AI model with existing systems, applications, and data sources.
- Develop APIs or SDKs to enable communication between the model and other systems.
04
- Choose the most appropriate pre-trained or custom model for the use case.
- Consider trade-offs between model size, computational requirements, and accuracy.
- Deploy the Gen AI model into production environments.Choose deployment infrastructure.
- Ensure compliance with security and regulatory standards
- Ensure the model meets accuracy, reliability, and performance standards.
- Performance Testing: Evaluate response times, throughput, and resource usage under different loads
GEN AI STACK WE USE
Discover The Generative AI Models That Fuel Our Engineering Breakthroughs
FOUNDATION MODELs
TTS & ASR
IMAGE, AUDIO, VIDEO
multi modAl MODELS
OBJECT AND FACE DETENTION
EMOTION DETECTION
LEGAL, MEDICAL, EDUCATIONAL
Your Industry’s Challenges, Our Engineering Solutions
LOGISTICS
Generative AI is revolutionizing the logistics and transportation industry
CONTACT US
Start Your Innovation Journey Here
Engineering Excellence, Designed for You!
4th Floor, Netsmartz House, Plot No 10
Rajiv Gandhi Technology Park
Chandigarh – 160101
India
4/131-133 Chandler Road
Noble Park
Vic 3174
Australia
- Phone: +1 916-875-2235
- Email: info@domain.ltd
Hoop Konsulting partners with startups and enterprises to craft custom digital solutions. Whether you’re building a mobile app or scaling a complex platform, we deliver tailored technology that evolves with your business needs.