Generative AI
Integration
RAG pipelines, AI copilots, workflow agents, and enterprise guardrails—built for production safety, not just demos.
- OWASP LLM Compliant
- Production Guardrails
- Eval-Driven Development
What You Get With Zigron
GenAI solutions built for production safety—not just impressive demos.
Use-Case & Risk Analysis
Abuse, safety, and data leakage analysis before writing a single prompt. Business value validated upfront.
RAG Architecture
Retrieval-Augmented Generation with grounding, caching, and source attribution for trustworthy outputs.
Prompt & Tooling Design
Versioned prompt templates, tool-calling schemas, and chain-of-thought strategies optimized for your use case.
Evaluation Harness
Golden set testing, regression suites, red team scenarios, and automated quality gates for every release.
Guardrails & Safety Controls
Policy constraints, output validation, refusal behavior, and prompt injection protection aligned to OWASP LLM Top 10.
Production Monitoring
Cost tracking, latency SLOs, safety signals, user feedback loops, and incident response automation.
Who Is This For?
Teams adding AI to products who can't afford hallucinations or security incidents.
Knowledge Assistant / Copilot
Problem
Support teams waste hours searching internal docs and knowledge bases for answers.
Solution Approach
RAG-powered copilot with source attribution, context-aware retrieval, and escalation to humans for edge cases.
Outcome
60% reduction in average resolution time for support queries.
Internal Ops Automation
Problem
Repetitive tasks like ticket triage, report generation, and data extraction consume skilled engineering time.
Solution Approach
LLM-driven workflow agents with tool calling, approval gates, and human-in-loop fallbacks for high-risk actions.
Outcome
40% automation rate with zero unsafe automated actions.
Customer-Facing AI Features
Problem
Need to add AI to products but worried about hallucinations, data leakage, and prompt injection attacks.
Solution Approach
Production GenAI with enterprise guardrails, sandboxed execution, output validation, and continuous red team evaluation.
Outcome
Launched AI features with zero security incidents post-deployment.
How We Deliver Excellence
Assess
Map use cases, classify risks, evaluate data sources, and define success metrics
Design
Architecture for RAG, tool use, caching, and guardrails. Define evaluation strategy
Build
Implement prompts, retrieval pipeline, tool integrations, and evaluation harness
Validate
Red team testing, golden set evaluation, security verification, and regression suites
Deploy & Monitor
Production rollout with cost tracking, safety monitoring, and continuous improvement
Flexible Engagement Models
Whether you need a GenAI Proof of Concept or a Production AI Feature, we adapt to your risk tolerance and timeline.
Technical Approach
End-to-end GenAI pipeline from knowledge retrieval to safe output delivery.
Knowledge
Docs, APIs, DBs
Retrieval
Embeddings, Search
LLM
Prompt, Tools
Guardrails
Safety, Validation
Output
Response, Actions
Eval-Driven
Every release passes automated quality and safety gates.
Security-First
OWASP LLM Top 10 mitigations built into every layer.
Observable
Cost, latency, quality, and safety signals in real-time.
Composable
Modular architecture for prompts, tools, and retrieval.
Tools & Technologies
Model-agnostic stack for LLM integration, retrieval, and safety.
LLM & Frameworks
Vector & Retrieval
Safety & Ops
Success Stories
Abode Smart Home AI Assistant
Services: RAG Pipeline, Guardrails, Device Integration
Result: 99.99% uptime with AI-driven automation across 300K+ devices.
TerraSmart Solar Intelligence
Services: GenAI Reports, Data Summarization
Result: 30% faster field deployment with AI-generated site insights.
TerraTrak AI Optimization Engine
Services: ML-Driven Automation, Intelligent Alerts
Result: +12% energy generation through AI-optimized tracking.
Frequently Asked Questions
Ready to Add GenAI to Your Product?
Tell us about your use case. Our engineers will design a GenAI solution with enterprise-grade guardrails, not just a demo.