Custom AI Development Services & Enterprise RAG
Purpose-built AI for problems off-the-shelf software cannot solve.
We design and build AI systems grounded directly on your company's data, workflows, and compliance requirements—with zero data leaks and sub-second latencies.
Why Off-The-Shelf AI Fails in the Enterprise
Friction Point 01
Generic AI tools hallucinate answers on proprietary domain data, creating unacceptable legal and financial liabilities.
Friction Point 02
Public cloud AI APIs leak sensitive corporate data, violating HIPAA, SOC2, or strict client NDAs.
Friction Point 03
Off-the-shelf software cannot ingest specialized industry formats (CAD schematics, complex financial tables, scanned medical charts).
Friction Point 04
Standard vector search returns irrelevant document snippets because generic chunking ignores hierarchical document structure.
Failed AI pilots burn budget, frustrate leadership, and leave domain knowledge permanently siloed in legacy databases.
Relying on generic tools exposes your company to severe data compliance violations and leaves core intellectual property unprotected.
What This Service Actually Means
Custom AI Development means building machine learning architectures specifically engineered around your proprietary datasets, mathematical tolerances, and compliance requirements. Every model response is strictly grounded in verifiable source facts with zero hallucinations.
What Is Included in This Practice
- ✓Advanced multi-stage RAG pipelines with semantic chunking, dense vector retrieval, and rerankers
- ✓Deterministic citation engine linking every generated answer to exact source document pages
- ✓Domain-adapted model fine-tuning (LoRA / QLoRA) on company knowledge
- ✓Private VPC deployment with complete network isolation and encryption at rest
- ✓Automated continuous evaluation suites measuring precision, recall, and hallucination rates
What This Service Does NOT Include
- ✕Shallow wrappers that merely call public OpenAI APIs without custom indexing or guardrails
- ✕Sharing customer proprietary data with public model trainers
How Rysysth Differs from Generic Agencies
Unlike generic SaaS tools that force your data into generic templates, Rysysth builds custom retrieval pipelines that understand your industry's exact terminology, taxonomies, and compliance standards.
How We Translate Needs into Outcomes
"Search millions of internal enterprise documents with 100% factual accuracy"
Advanced Enterprise RAG with semantic reranking and page-level source citation
Empower staff to extract exact answers in seconds with mathematical confidence.
"Deploy state-of-the-art AI while adhering to strict HIPAA or SOC2 privacy mandates"
Private tenant VPC deployment with zero data retention and air-gapped on-premise inference
Adopt cutting-edge AI capabilities without exposing sensitive customer records.
"Automate visual quality control on high-speed manufacturing lines"
Edge computer vision models running sub-50ms inference on NVIDIA TensorRT appliances
Achieve 99.4% defect detection accuracy, eliminating expensive manual rework.
Core Service Components
A modular suite of capabilities tailored to eliminate operational friction and accelerate roadmap milestones.
Enterprise RAG & Knowledge Intelligence
Ground generative models in proprietary truth
Hierarchical document chunking, hybrid vector/keyword search, and cross-encoder rerankers that feed only validated factual context to language models.
Completely eliminates hallucinations and provides auditable page-level citations for every output.
Domain Model Fine-Tuning
Specialize models for your industry terminology
We fine-tune open-weights models (Llama 3, DeepSeek, Mistral) on your internal corporate corpus, teaching the model specialized jargon and reasoning styles.
Delivers higher domain accuracy than public models at a fraction of the per-token inference cost.
Computer Vision & Visual AI
Real-time visual inspection and classification
Deep learning vision models trained on custom visual datasets for anomaly detection, object tracking, and automated quality control.
Operates 24/7 at superhuman speeds, catching microscopic defects that human inspectors miss.
Security & Guardrail Hardening
Protect against injection, leakage, and drift
Deterministic moderation filters, semantic guardrails (NeMo Guardrails), prompt injection defense, and continuous accuracy monitoring.
Guarantees enterprise systems remain resilient against adversarial attacks and operational drift.
From Discovery to Live Production
A transparent, agile engagement model designed for maximum speed, strict quality control, and zero scope drift.
Data Audit & Feasibility Benchmark
We audit your document corpus, evaluate image/tabular data quality, establish baseline accuracy metrics, and design the security architecture.
Ingestion & Vector Architecture
Engineering the document ingestion pipeline, semantic chunking algorithms, vector index creation, and reranker tuning.
Model Optimization & Guardrails
Fine-tuning model weights, optimizing inference latency with TensorRT/vLLM, and implementing deterministic guardrails.
VPC Deployment & Continuous Eval
Deploying the private cluster, connecting internal APIs, establishing audit logging, and setting up automated drift detection.
Real-World Use Cases & Measured Impact
Explore how high-growth businesses deploy this practice to overcome operational bottlenecks and drive revenue.
Clinical Decision Support for Oncology Records
Healthcare network with 2 million clinical notes needing accurate patient history summarization without cloud data leakage.
Architected an on-premise private RAG system using quantized models running on private hospital server clusters.
Reduced oncologist chart review time from 45 minutes to 4 minutes with 99.8% citation accuracy.
Conveyor Line Defect Detection in Manufacturing
Automotive supplier losing $1.8M annually to scrap parts due to fatigued visual inspection operators.
Deployed edge computer vision models running at 60 FPS on factory cameras with sub-50ms defect rejection.
Captured 99.4% of surface micro-fractures, saving $1.2M in annual warranty claims.
Who Is This Service For?
Self-qualify your organization. We are optimized to deliver maximum ROI for these profiles:
Enterprises with Proprietary Data Assets
Key Roles: CTOs, Chief AI Officers, VPs of Engineering
Situation: Possess valuable internal datasets and need custom AI systems that generic SaaS tools cannot deliver.
Bespoke model fine-tuning and custom RAG unlock deep competitive advantages.
Regulated Healthcare & Financial Institutions
Key Roles: Chief Compliance Officers, Chief Information Security Officers
Situation: Require enterprise AI capabilities but cannot send sensitive data to public third-party APIs.
Private VPC and air-gapped deployments ensure strict regulatory compliance.
Industry-Specific Implementations
How this practice adapts to the specific regulatory, compliance, and workflow constraints of your vertical.
Healthcare & Life Sciences
Doctors spend hours reading through hundreds of unstructured PDF records per patient.
Private clinical RAG system extracting patient history with page-level citations.
Finance & FinTech
Financial analysts manually parse 100-page SEC filings, bond indentures, and earnings transcripts.
Domain-fine-tuned financial LLMs extracting tabular data and balance sheet disclosures.
Manufacturing & Heavy Industry
Component defects missed during manual inspection cause catastrophic field failures.
High-speed computer vision inspection models running on factory edge appliances.
Education & EdTech
Generic AI provides inaccurate tutoring that contradicts institutional curriculum textbooks.
Curriculum-grounded RAG models restricted strictly to certified institutional materials.
Retail & E-Commerce
Keyword search on e-commerce stores fails on descriptive or visual queries.
Multi-modal vector search allowing shoppers to search using images or natural language concepts.
Verifiable Business Outcomes
We engineer systems to move hard financial metrics, not just vanity technology demonstrations.
Factual Precision
Deterministic citation grounding and reranking eliminate hallucinations from document analysis.
Data Privacy & Isolation
Zero data retention on private VPCs; your corporate knowledge is never shared or used for public model training.
Inference Latency
Optimized model compilation with TensorRT and vLLM for high-throughput, low-latency execution.
Information Retrieval Speed
Instant access to critical answers buried in millions of unstructured documents.
Architecture, Stack & Guardrails
We build enterprise AI systems using state-of-the-art vector engines, multi-stage retrieval pipelines, and private serverless GPU clusters.
Technology Stack Breakdown
Architectural Principles
- Grounding First: No generative model responds without verified factual citations retrieved from source documents
- Privacy by Architecture: Zero external model calls for sensitive data; all processing stays within your private VPC
- Deterministic Guardrails: Real-time verification gates checking outputs before they reach end users
Production Guardrails
- Embedding cosine distance thresholds preventing answers when source relevance is low
- PII / PHI anonymization filters scrubbing sensitive data before vector indexing
- Prompt injection firewalls detecting adversarial inputs
What You Actually Receive
Zero ambiguity. Every engagement concludes with concrete software, design, and infrastructure assets transferred 100% into your ownership.
AI Models & Weights
- Fine-tuned model checkpoint weights and LoRA adapter files
- Custom vector database schema configurations and indexing scripts
- Embedding and reranker model pipeline configurations
Application & API Backend
- FastAPI high-performance inference microservice codebase
- Document ingestion and OCR parsing worker scripts
- Docker and Helm deployment manifests for Kubernetes / Azure Container Apps
Evaluation & Benchmarks
- Automated test harness with 500+ domain benchmark validation questions
- Empirical accuracy, precision, recall, and hallucination scorecard
- Comprehensive Architecture Runbook and operations training
Why Engineering Teams Choose Rysysth
Mathematical Accuracy Over Flaky Prompts
We do not rely on clever prompt engineering. We build multi-stage information retrieval systems with mathematical reranking and strict citation verification.
Total Intellectual Property Ownership
You own all trained model weights, embeddings, pipeline code, and infrastructure blueprints completely. No vendor lock-in.
Enterprise Compliance Guaranteed
Every architecture is engineered to satisfy the strictest HIPAA, SOC2 Type II, and GDPR data isolation standards.
Complementary Practices
Expand and scale your technical ecosystem with natural adjacent capabilities.
AI Agents & Business Automation
Action layer: couple your custom RAG knowledge engine with autonomous agents that take action in your software tools.
Choose this when you want your AI not just to answer questions, but to execute tasks automatically.
Microsoft AI & Copilot
Microsoft integration: deploy your custom AI model directly into Microsoft Teams and SharePoint via Azure AI Foundry.
Choose this when your end users work inside Microsoft 365 applications.
Frequently Asked Questions
Clear, transparent answers on intellectual property, security, timelines, and engagement structure.
Accelerate Your Roadmap with Rysysth Engineering
Connect directly with our founding systems architects to evaluate technical feasibility, scope deliverables, and obtain an actionable implementation plan.