PROPRIETARY ENTERPRISE AI SOFTWARE

Custom AI Solutions: Bespoke Models & Private Knowledge Bases

Build software that represents your unique competitive advantage. IntegerAI designs custom Generative AI applications, enterprise RAG vector pipelines, and fine-tuned open-weight LLMs trained on your proprietary data with 100% privacy and full IP ownership.

Enterprise RAG Architecture: Query thousands of internal SOPs, manuals & contracts with exact page citations
Domain LLM Fine-Tuning: Adapt Llama 3.3 or Mistral to master your company's technical jargon
Air-Gapped / Private Cloud Deployment: Complete isolation behind your enterprise firewalls
Technical Capabilities ↓
★★★★★
Zero third-party vendor lock-in. Full ownership of all weights, code & embeddings.
BESPOKE ARCHITECTURE

Own Your Proprietary AI Engine

Don't send your valuable business secrets to generic consumer tools. Build a custom private system that lives on your infrastructure.

  • 100% Code & IP Ownership
  • Custom Fine-Tuning on Your Brand Voice
  • Fixed Compute vs. Unpredictable Token Billing
100%
Client IP & Code Ownership
< 150ms
Sub-Second Vector Search Latency
Zero
Risk of Public Model Training Leaks
SOC-2
Compliant Architectural Standards

Custom AI Development Offerings

State-of-the-art machine learning and software engineering tailored to your industry constraints and data architecture.

Enterprise RAG & Knowledge Copilots

Turn tens of thousands of corporate PDFs, spreadsheets, technical manuals, and Slack discussions into a unified, citation-backed intelligence engine.

  • Hybrid dense + sparse (BM25) vector retrieval
  • Cohere & BGE re-ranking for maximum accuracy
  • Strict role-based access control (RBAC)

Open-Source LLM Fine-Tuning

Fine-tune open-weight models (Llama 3.3, Mistral, Qwen) using LoRA/QLoRA on domain datasets to achieve GPT-4 class accuracy at a fraction of inference cost.

  • Specialized medical, legal or industrial dialects
  • Guaranteed format adherence (JSON/XML)
  • Quantized weights for ultra-fast local inference

Full-Stack Generative AI Web Apps

End-to-end web applications with modern frontend dashboards, secure user authentication, multi-tenant billing, and high-performance asynchronous backends.

  • FastAPI / Python / Node.js microservices
  • Modern, responsive UI dashboards
  • Streaming token responses via WebSockets

Custom AI Solutions FAQ

Details on engineering timelines, infrastructure, and ongoing maintenance.

For on-premise deployments, models such as Llama 3 8B or 70B can run smoothly on dedicated GPU servers (e.g. NVIDIA A10G, L40S, or A100). For cloud setups, we configure managed auto-scaling clusters on AWS EC2, RunPod, Lambda Labs, or Azure ML to ensure minimal idle expenditure.

We handle end-to-end ETL: data deduplication, OCR extraction from unstructured documents, synthetic question-answer generation, formatting into instruction-tuning datasets, and rigorous bias/toxicity filtering before model ingestion.

Request Custom AI Solution Scope

Share your project technical requirements to schedule a direct architecture consultation with our engineering team.

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