Generative AI Consulting
AI Driven × DX
Let Generative AI Handle Routine Work
We build a generative AI environment that is safe, secure, and directly linked to business improvement by vectorizing internal data.
The autocorrect function of generative AI becomes usable for business by grounding the information source of internal data to the LLM model.
We provide consulting support services to build usable generative AI by organizing data formats of different formats.
Common Challenges
- Concerns about Internal Data Security
Unable to implement generative AI due to concerns about information leaks of customer information and privacy when using generative AI internally.
- Business Process Efficiency
Continuing with manual operations because it's unclear how generative AI implementation can improve business efficiency.
- Cost-effectiveness
Unable to implement due to unclear cost-effectiveness after receiving high estimates just for environment setup from development companies and SIers.
Challenge 01
Internal Data Security
We enhance data security by building closed environments with AWS Bedrock and Microsoft Azure to avoid risks such as prompt injection that occur with generative AI.
Data security and privacy protection are essential when utilizing generative AI. We enhance data security by using AWS Bedrock and Microsoft Azure private environments that comply with security and compliance standards such as GDPR and HIPAA. We minimize the risk of data leaks through end-to-end encryption, access management, and regular security audits.
PoC Development Support
Frameworks and Environment
Features of PoC Development Support Service
- Next.js
- A React framework excellent for fast page loads and SEO. Helps with rapid prototyping and performance optimization.