What is LLM fine-tuning with LoRA?

LLM fine-tuning with LoRA creates AI that understands your domain's specific terminology, edge cases, and nuances, delivering far better results than generic models.

How does GPU optimization reduce AI inference costs?

GPU optimization on NVIDIA hardware delivers low-latency inference at a fraction of typical cloud costs, giving you the performance you need with predictable bills.

What are real-time AI systems with WebSocket architectures?

Real-time systems with WebSocket architectures and streaming inference deliver instant responses, eliminating loading spinners when milliseconds matter to your users.

How does semantic search work with vector embeddings?

Semantic search with vector embeddings surfaces relevant results even when the exact words don't match, understanding user intent rather than just keyword patterns.

AI Solutions That Ship

From requirements to production in weeks. For businesses tired of AI projects that stall, demo well, or never ship.

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Why Teams Choose SentEdge

Ship in Weeks

Structured 4-phase approach from requirements to deployment. No endless research, no scope creep. Fixed deliverables with clear timelines.

Complete Solutions

Requirements documentation, production-ready code (GitHub repo), cloud deployment, and 90-day support. You get a working system, not a prototype.

Built for the Real World

Systems that handle traffic spikes, recover from failures, and grow with your business. Proven architectures from production deployments using RAG, Neo4j, and GPU optimization—not theoretical frameworks.

From Idea to Production

Clarity & Confidence

1 week

Know exactly what you're building and why
Architecture that fits your constraints
No surprises on tech choices

Watch It Come to Life

2-4 weeks

See real progress every week, not promises
Code you can review and understand
Full documentation as we go

Go Live With Confidence

1 week

Production environment ready for real users
Optimized for speed and reliability
Security you can trust

Peace of Mind

90 days

Issues fixed quickly, at no extra cost
We're watching so you don't have to
Your team learns to own the system
Never stuck without help
Long-term options available

How We Solve Hard Problems

Your AI That Actually Knows Your Business

Stop getting generic answers. RAG pipelines connect LLMs to your proprietary data using vector databases, so your AI speaks with authority about your products, policies, and processes.

See Connections Others Miss

When spreadsheets can't capture how your data relates, Neo4j graph databases reveal hidden patterns and power smarter recommendations, fraud detection, and knowledge discovery.

AI That Speaks Your Industry's Language

Generic models give generic results. LLM fine-tuning with LoRA creates AI that understands your domain's terminology, edge cases, and nuances.

Fast AI Without the Runaway Cloud Bills

GPU optimization on NVIDIA hardware delivers low-latency inference at a fraction of typical costs. Performance you need, bills you can predict.

AI That Keeps Up With Your Users

No more loading spinners. Real-time systems with WebSocket architectures and streaming inference deliver instant responses when milliseconds matter.

Search That Understands Intent, Not Just Keywords

Users find what they mean, not just what they type. Semantic search with vector embeddings surfaces relevant results even when the words don't match.

Your Solutions Architect

Ryan Price

Lead AI Solutions Architect

Every SentEdge engagement is led by a certified AI professional with hands-on production experience. You work directly with the architect who designs and builds your solution—no handoffs, no gaps in communication.

Verified expertise. Accredited consultants deliver measurable results faster, with fewer iterations and lower project risk.

Example Project: AI Chat Assistant

Client Challenge

Gaming company launched an AI support assistant that suffered from severe accuracy issues—only 40% correct answers with a 50-60% hallucination rate. Response times averaged 28-42 seconds. The over-quantized model failed to ground responses in actual game documentation, making it unsuitable for production deployment.

Solution Delivered

Enterprise RAG pipeline with FAISS semantic search (0.75-0.85 similarity scores)
Optimized Llama 3.2 3B model with strict context grounding
Automated validation system ensuring 100% production alignment
Knowledge base extracted from live UI components for zero-drift accuracy
3-phase optimization: prompt engineering → model upgrade → knowledge enhancement

Results

98% Accuracy 90% Fewer Hallucinations 3x Faster (12-18s) 100% Grounding Rate 24/7 Availability

Tech Stack: FAISS + sentence-transformers, Llama 3.2 3B, Flask, CPU-optimized inference (3-4GB RAM)

Improvement: From 40% accuracy → 98% accuracy | 40s response → 12-18s | Hallucinations reduced by 90%

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Solution Spotlight

Intelligent Knowledge Base

Your best people shouldn't be bottlenecks. When critical knowledge lives only in a few heads, every departure is a crisis and every question becomes a wait.

Our agentic knowledge base captures tribal knowledge, indexes your documents, and gives every employee instant, accurate answers grounded in your actual company information.

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Portfolio Projects

Production-ready AI solutions we've built. From voice synthesis to blockchain integrations, see what's possible.

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Take the First Step

Every Project is Unique

Everything You Need to Succeed:

A clear roadmap everyone on your team understands
Code you own completely, ready to extend or modify
A live system your users can access immediately
90 days of backup so you're never stuck alone

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We typically respond within 24 hours