Aavenza One & AI Assistant v2.4 Live: Production-ready enterprise cognitive architecture
AI Models
Parameter-efficient fine-tuning, domain adaptation, and self-hosted model serving.
Take full control over your AI destiny with proprietary open-weights models fine-tuned specifically for your organization. Aavenza adapts state-of-the-art foundation models (Llama 3, Mistral, Gemma, DeepSeek) through parameter-efficient fine-tuning (PEFT/LoRA) on your internal data.
We handle the complete model lifecycle: data sanitization, synthetic dataset generation, supervised fine-tuning, RLHF/DPO alignment, quantization, and high-throughput vLLM serving on your own cloud or private servers.
Replacing expensive SaaS token bills with self-hosted instances
Zero data transmitted to third-party commercial AI providers
Running high-parameter models on cost-efficient GPU hardware
Enforced JSON/YAML structure generation
Key Technical Capabilities
Engineered using clean architecture, comprehensive automated test coverage, and enterprise security standards.
Parameter-Efficient Fine-Tuning (LoRA / QLoRA)
Adapting billion-parameter models to specialized domain tasks using minimal GPU compute while preserving general reasoning.
Dataset Preparation & Synthetic Expansion
Cleaning proprietary records, generating high-quality synthetic instruction pairs, and filtering low-signal data.
Direct Preference Optimization (DPO)
Aligning model outputs with specific enterprise tone, brand guidelines, and safety criteria without complex reward models.
High-Throughput vLLM & TGI Inference
Deploying models with continuous batching, PagedAttention, and TensorRT-LLM for sub-second multi-user concurrent throughput.
Structured Deliverables & Milestones
Transparent milestones with continuous staging visibility, automated regression test gates, and verifiable deliverables.
Data Audit & Baseline Benchmarking
Evaluating base model capabilities against domain test datasets.
Fine-Tuning Execution & Checkpointing
Distributed GPU training runs, loss tracking, and intermediate adapter checkpointing.
Evaluation & DPO Alignment
Rigorous benchmark testing against hallucination, formatting, and semantic accuracy.
Optimized Serving Engine Handover
Dockerized vLLM serving image, model weights archive, and inference API documentation.
Primary Technology Stack
Curated frameworks and battle-tested infrastructure powering this service.
Full source code, test suites, infrastructure scripts, and documentation transferred directly upon handover.
Strict corporate confidentiality agreements executed before sharing requirements or accessing systems.
Adherence to rigorous information security controls, encrypted storage, and clean audit logs.
Scope Your AI Models Project
Submit your technical requirements or RFP directly to our Kolkata Head Office engineering desk. A solutions architect will review and reply within 24 hours.
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