About CyberSerge
Custom AI for the businesses
big AI vendors ignore.
No generic chatbot bolted onto your website. The full AI infrastructure — automations, intelligent assistants, fine-tuned models, retrieval systems — built around how your specific business actually runs.
AI that fits the business — not the other way around.
The most transformative technology of our generation has been hoarded by corporations with billion-dollar R&D budgets. CyberSerge exists to change that. Small and mid-size businesses — accountants, law firms, machine shops, property managers, contractors — have complex, specific, high-value workflows. They deserve AI that actually understands them.
AI itself makes this possible. Building custom solutions used to require a team of expensive engineers and months of work. Now, with AI accelerating every step of the engineering process, custom AI fits a small-business budget. No subscriptions. No generic tools. Just problems solved.
Start with a complimentary analysisBuilt Around Your Business
Every system shaped from scratch around how your business actually runs. No templates. No off-the-shelf tools dressed up as custom.
Measurable From Day One
Every deployment grounded in measurable outcomes — hours saved, costs reduced, decisions made faster. Not demos. Not potential. Real numbers.
Ongoing, Not One-Off
AI systems aren't 'set and forget.' Monitoring, refinement, and capability expansion continue as your business — and the models — evolve.
Core Capabilities
What we actually build.
From simple workflow automation to production-grade AI agents and custom fine-tuned models — the full scope of what gets engineered for clients. Technical depth where it matters; plain language everywhere else.
Workflow Automation & Process Engineering
Every manual loop in your operations mapped and replaced with intelligent, event-driven pipelines. Built to handle edge cases, branching logic, and failure recovery — not just the happy path.
AI Agent Development
Autonomous agents that reason across multiple steps, call external tools, and complete complex tasks without human intervention. From single-purpose task agents to coordinated multi-agent systems.
Custom Model Fine-Tuning
Fine-tune foundational models on your proprietary data for higher accuracy, lower latency, and dramatically reduced inference costs. Full pipeline owned end-to-end — from data curation to production deployment.
RAG & Knowledge Architecture
Build AI systems that reason over your internal knowledge — contracts, policies, customer histories, technical manuals. Retrieval pipelines designed to surface the right context at the right moment.
LLM Integration & Orchestration
Connect large language models to your existing tech stack. Prompt architecture designed, model routing managed, infrastructure handled — from OpenAI to self-hosted open-source deployments.
Evaluation, Monitoring & Observability
Production AI without measurement is a liability. Evaluation frameworks track accuracy, hallucination rates, latency, and cost — so you always know how your system is performing.
Technical Depth
We go further than most AI vendors ever will.
Most "AI agencies" are prompt engineers with a Zapier account. CyberSerge brings deep ML engineering backgrounds — which means real problems with real technical depth are on the table, not just chatbot integrations.
When a fine-tuned 7B model can replace an expensive GPT-4 call at 10% of the cost, that's what gets built. When a multi-agent system can replace three manual processes with one autonomous workflow, that's what gets architected. This is the difference between using AI and truly engineering with it — and it's what makes custom affordable for small businesses.
Fine-tune models at a fraction of full training cost using LoRA and QLoRA — cutting inference costs by up to 80% vs. GPT-4
Build multi-agent systems using LangGraph and CrewAI that autonomously plan, delegate sub-tasks, and self-correct
Reduce LLM API spend through intelligent prompt caching, semantic deduplication, and model-routing to smaller fine-tuned alternatives
Implement RAG pipelines with sub-100ms retrieval using optimized vector indexes, rerankers, and hybrid BM25 + semantic search
Deploy self-hosted open-source models (Llama, Mistral, Qwen) on your own infrastructure for data privacy and zero marginal cost
Design LLM evaluation frameworks that automatically detect hallucinations, grounding failures, and regression before production
Build document intelligence pipelines that extract structured data from PDFs, images, and scanned forms at scale
Implement streaming inference with real-time tool calls for AI assistants that feel responsive and capable, not sluggish
Technology Stack
The best tools in the field, applied with precision.
OpenAI
GPT-4o, fine-tuning, embeddings
Anthropic
Claude 3.5, tool use, vision
Hugging Face
Open-source models, PEFT
LangChain
Chains, agents, memory
LlamaIndex
RAG, document pipelines
Pinecone / pgvector
Vector search at scale
LangGraph
Stateful multi-agent graphs
Ollama / vLLM
Self-hosted inference
Weights & Biases
Training & eval tracking
Azure AI
Enterprise cloud AI services
AWS Bedrock
Managed model APIs
Python / FastAPI
Core backend engineering
Our Approach
Audit. Architect. Deploy.
Engineering doesn't start until your business is fully mapped. And the work doesn't stop until ROI is measurable and compounding.
Complimentary Analysis
Every manual step, data silo, and friction point in your operations gets mapped. Nothing assumed. Everything documented and prioritized by impact.
Architecture & Build
The AI layer gets designed and engineered from the ground up — integrating directly with your existing tools, data, and team workflows.
Deploy & Optimize
Go live with full observability instrumented from day one. ROI tracked. Model performance monitored. Systems refined as your business scales.
Ready to see what's possible for your business?
Every hour your team spends on manual work is an hour your competitors could be using AI to gain ground. The complimentary analysis closes that gap — even if you don't know where to start.