AI feature design and prototyping
LLM integration, RAG pipelines, and intelligent automation tied to real product workflows—not slide decks.
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AI product engineering for production-ready AI features.
We integrate LLMs, computer vision, and intelligent automation into your product's core workflows. Built for scale. Deployed to production.
What's Included
End-to-end coverage from product-shaped AI features through the stack that ships and runs them.
Backend systems
NestJS APIs, vector databases, and prompt-engineering pipelines built for reliability and observability.
Frontend
React and Next.js dashboards and admin surfaces for reviewers, operators, and power users.
Mobile
React Native experiences when your AI features need to travel with the user.
DevOps and infrastructure
Containerized deployment, GPU-aware setups where it matters, and monitoring you can act on.
Example Deliverables
Representative outcomes teams engage us for—each scoped to your stack, data, and risk profile.
Customer support platform with RAG
Answers grounded in your knowledge base, review workflows for agents, and reporting on quality—not a chat widget bolted on the side.
Benefits:
Grounded answers
Agent workflows
Quality reporting
Safe rollout
Typical Engagement
Discovery & Architecture
2–3 weeks
MVP / Proof of Concept
4–8 weeks
Production Build
8–16 weeks
Ongoing Support
Monthly retainer
Projects in this space
A few examples of the kinds of systems we’ve shipped in similar problem spaces.
AI-Powered Product Engineering
BYONN — AI-Powered Safety Companion
AI-powered personal safety app with real-time threat detection, traffic light status system, one-tap SOS, and live location sharing.
- AI-Powered
- Mobile
- Real-Time
- Public Safety
- B2C
- B2B
- React Native
- React
- Next.js
- Node.js
- NestJS
- AI/ML
- WebSocket
- Maps API
- Push Notifications
- End-to-End Encryption
Key features
- AI-powered early threat detection and risk assessment
- Traffic light safety status (Green, Yellow, Red, Purple)
- One-tap SOS with emergency coordination
- Live location sharing with trusted contacts
- Smart alerts based on location and situational context
- Pattern learning — adapts to user routines
Read case study
Website: www.byonn.com/
AI-Powered Product Engineering
Voltonik — AI Solar Energy Monitoring
AI-powered solar energy O&M platform with intelligent fault detection, performance dashboards, and predictive maintenance.
- AI-Powered
- IoT
- Renewable Energy
- Predictive Analytics
- Dashboards
- React
- Node.js
- AI/ML
- IoT Sensors
- Time-Series Data
- Predictive Analytics
- Cloud
Key features
- AI-based fault detection for solar panels and inverters
- Real-time performance monitoring dashboards
- Predictive maintenance scheduling and alerts
- Energy production analytics and trend analysis
- IoT sensor data ingestion from field installations
- Historical performance data and comparison
Ready to scope your AI product engineering?
Tell us about workflows, data, and timelines—we'll map a practical path from prototype to production.