AI Product Engineering
Integrating LLMs, computer vision, and predictive analytics into production-ready workflows.
Frameworks & Tools
Key Benefits
- Personalized User Experiences
- Automated Content Generation
- Predictive Business Insights
Our Approach
RAG Implementation
Connecting LLMs to your private data for grounded, accurate responses.
Prompt Engineering
Specialized optimization to reduce hallucinations and token costs.
Agentic Workflows
Building autonomous agents that perform multi-step business tasks.
Key Deliverables
Custom AI Models/Pipelines
Fine-tuned LLMs or bespoke computer vision models.
Integration API
Secure endpoints to connect AI capabilities to your existing app.
Evaluation Framework
Tools to monitor AI accuracy, latency, and costs.
Typical Timeline
Feasibility & Prototyping
Data assessment, prompt engineering, and initial proof-of-concept.
Pipeline Engineering
Building RAG systems, model fine-tuning, and robust APIs.
Integration & Monitoring
Connecting to frontend apps and setting up cost/performance tracking.
Service FAQ
Absolutely. We ensure enterprise-grade security and do not train public models on your private data.
We use a combination of OpenAI, Anthropic, Gemini, and open-source models depending on your needs.