Lumora AI & Digital Agency
All Practices/Practice Hub #04/AI Development
04. Practice Area Hub · AI Engineering

AI Development & Custom Model Engineering

Bespoke LLM fine-tuning, domain-specific small language models (SLMs), high-speed computer vision systems, and predictive intelligence engines deployed on your private cloud infrastructure.

Custom Weights & LoRA Fine-Tuning Private Cloud GPU Clusters Sub-100ms Inference Pipelines
Practice Division

AI Development

Active Squads
Speed SLA

<100ms Inference

Availability

99.95% GPU SLA

Sprint Cadence

Weekly Accuracy Benchmarks

IP Ownership

100% Model Weights Yours

Modular Sub-Services9 Ready Specs
Generative AIAI ChatbotsAI Voice AgentsCustom AI SolutionsRAG & Knowledge Base+4 more
99.4%

Model Accuracy

Trained and benchmarked on your proprietary industry datasets

< 80ms

Inference Latency

vLLM & TensorRT-LLM optimized GPU inference engines

100%

Private Weights

Model weights, checkpoints, and datasets remain 100% your IP

Zero

Data Leakage

Completely isolated within your private AWS/GCP/Azure VPC

Full Practice Capabilities

AI Development Sub-Services & Modules

Every offering below is backed by dedicated engineering squads, rigorous production SLAs, and end-to-end delivery standards. Click any service to inspect full specifications.

04.01
Generative AI

Custom LLM solutions that generate text, code, images, and structured business insights.

Custom Model Fine-Tuning
Structured Output Parsing
Prompt Engineering Pipelines
OpenAIAnthropic ClaudeOllama
04.02
AI Chatbots

Conversational agents that understand context, slang, and complex domain questions.

Multi-Turn Conversation Memory
Intent Recognition
Omnichannel Deployment
React.jsNode.jsPostgreSQL
04.03
AI Voice Agents

Ultra-low-latency conversational voice agents for inbound calling and phone support.

Sub-500ms Voice Latency
Natural Interruption Handling
Telephony (Twilio/SIP) Integration
ElevenLabsDeepgramTwilio SIP
04.04
Custom AI Solutions

Bespoke artificial intelligence models trained specifically on your enterprise datasets.

Proprietary Data Ingestion
Custom Feature Engineering
Model Evaluation & Drift Monitoring
PythonTensorFlowPyTorch
04.05
RAG & Knowledge Base

Retrieval-Augmented Generation that connects LLMs to your private PDFs, docs, and databases.

Hybrid Vector + Lexical Search
Semantic Re-ranking Pass
Exact Document Citation Links
PostgreSQL pgvectorQdrantLlamaIndex
04.06
LLM Integration

Embed intelligence seamlessly into existing web applications, mobile apps, and CRMs.

Multi-Model Fallback Routing
Semantic Response Caching
Token Cost Optimization
LangfuseLiteLLMRedis
04.07
AI Search

Semantic search engines that understand user search intent instead of simple keyword matching.

Semantic Vector Matching
Typo Tolerance & Synonyms
Personalized Re-ranking
ElasticSearchTypesensepgvector
04.08
AI Recommendation Systems

Personalized recommendation algorithms boosting average order value and user engagement.

Collaborative Filtering
Real-Time User Context
A/B Testing Framework
PythonScikit-LearnRedis
04.09
Machine Learning

Predictive analytics, churn forecasting, and anomaly detection models.

Predictive Churn Modeling
Fraud & Anomaly Detection
Demand Forecasting
PythonXGBoostPandas
Structured Execution

The AI Development Delivery Lifecycle

Predictable, agile sprint cycles designed for high velocity, clean architecture, and zero client anxiety.

01Weeks 1-2

Data Audit, Curation & Cleansing

Ingest, clean, deduplicate, and synthetically augment proprietary training datasets with strict validation.

Deliverables:

Sanitized Training Corpus & Tokenization Benchmarks

02Weeks 3-4

Base Model Selection & LoRA Fine-Tuning

Select foundational architectures (Llama 3.3, Mistral, Qwen) and train custom LoRA adapters on dedicated GPU clusters.

Deliverables:

Trained Model Checkpoints & Loss Curve Reports

03Weeks 5-6

Evaluation, Guardrails & Quantization

Run BLEU/ROUGE accuracy evaluations, safety alignment (DPO/RLHF), and INT8/FP8 quantization for maximum inference speed.

Deliverables:

Quantized Model Files (GGUF / TensorRT) & Evaluation Matrix

04Weeks 7-8

Production Serving & Auto-Scaling API

Deploy on vLLM / Triton server with autoscaling GPU pods, latency monitoring, and zero-downtime rolling updates.

Deliverables:

Production Private Inference API & Model Weights Handoff

Engineering Standards

Modern Frameworks & Production Tooling

We do not use deprecated boilerplate or restrictive proprietary locks. Everything we build runs on battle-tested, open standards backed by major technology foundations.

Architecture Guarantee

Enterprise AI infrastructure engineering: custom weights, dedicated GPU inference clusters, and zero third-party vendor lock-in.

Specialized Stack
PyTorch
Hugging Face
vLLM
TensorRT-LLM
Llama 3.3
Mistral
Qdrant
Kubernetes / KServe
NVIDIA CUDA
The Lumora Advantage

Traditional Agencies vs. Our AI Development Model

Why high-growth enterprises and tech leaders choose Lumora over bloated legacy agencies.

Evaluation Criteria
Traditional Agency
Lumora Practice Squad
Model Control
Wraps general public OpenAI APIs with no custom knowledge
Fine-tuned open-weight models that understand your exact industry terms
Inference Cost
Escalating per-token charges that surge as you scale
Fixed-cost private GPU infrastructure with 10x lower cost at scale
Intellectual Property
You own zero underlying AI assets or weights
You own 100% of model checkpoints, adapter weights, and datasets
Latency & Throughput
Subject to public cloud API rate limits and throttling
Dedicated vLLM GPU inference with sub-100ms streaming responses
Deployment Flexibility
Locked into a single provider's proprietary ecosystem
Run anywhere: AWS, GCP, Azure, on-premises bare metal, or edge devices
Frequently Asked Questions

Got Questions About AI Development?

AI Automation connects existing AI models to tools and workflows. Custom AI Development builds and trains bespoke neural networks, fine-tunes open-weight LLMs, and deploys private GPU inference engines.
Launch Your Project

Ready to build proprietary AI models tailored to your business?

Consult with our AI research engineers. We'll evaluate your data assets, model architectures, and deliver a feasibility roadmap within 48 hours.