AI Consulting
That Delivers Results

Transform your business with Tiny LLM implementation, edge AI deployment, and cutting-edge machine learning solutions. Proven results with Fortune 500 companies.

95%
Memory Reduction
87%
Performance Retained
34%
Downtime Reduction
10-100ms
Inference Speed

AI Consulting Services

Comprehensive AI solutions from strategy to deployment, optimized for your industry and use case.

Tiny LLM Implementation

Deploy powerful language models on edge devices with 95% memory reduction while maintaining 87% performance.

Key Benefits:

50-500MB model size
10-100ms inference
0.1-1W power consumption
99% data privacy
Case Study Result:
BMW achieved 23% efficiency increase in manufacturing

Edge AI Deployment

Bring AI processing to the edge with optimized models for IoT, mobile, and embedded systems.

Key Benefits:

Real-time processing
Offline capabilities
Reduced latency
Cost optimization
Case Study Result:
Tesla reduced decision-making time by 40%

Model Optimization

Optimize existing AI models for performance, accuracy, and resource efficiency using advanced techniques.

Key Benefits:

10x faster inference
50% smaller models
Improved accuracy
Cross-platform deployment
Case Study Result:
Johns Hopkins achieved 94% diagnostic accuracy

AI Automation Strategies

Implement intelligent automation solutions that adapt and learn from your business processes.

Key Benefits:

Process optimization
Predictive analytics
Adaptive workflows
ROI tracking
Case Study Result:
34% reduction in industrial downtime

Industry Expertise

Specialized AI solutions tailored for your industry's unique challenges and requirements.

Healthcare

AI-powered diagnostic systems, patient monitoring, and medical data analytics

✓ 94% diagnostic accuracy, 60% faster consultations

Manufacturing

Smart manufacturing, quality control, and predictive maintenance solutions

✓ 23% efficiency increase, $1.2M annual savings

Automotive

Autonomous vehicle systems, edge processing, and safety-critical AI

✓ 40% faster decisions, 85% bandwidth reduction

Finance

Fraud detection, risk assessment, and algorithmic trading systems

✓ 99% fraud detection accuracy, real-time processing

Our AI Implementation Process

Proven methodology for successful AI deployment with measurable results and minimal risk.

1

AI Strategy Assessment

Comprehensive analysis of your business needs, data infrastructure, and AI readiness

1-2 weeks
2

Solution Design

Custom AI architecture design with detailed implementation roadmap and ROI projections

2-3 weeks
3

Model Development

AI model creation, training, optimization, and rigorous testing for your specific use case

4-8 weeks
4

Deployment & Integration

Seamless integration with existing systems, monitoring setup, and team training

2-4 weeks

Frequently Asked Questions

What are Tiny LLMs and how can they benefit my business?

Tiny LLMs are compressed language models that run on edge devices with 95% less memory while maintaining 87% of the performance of large models. They enable real-time AI processing, ensure data privacy, reduce costs, and work offline.

How long does AI implementation typically take?

AI implementation timelines vary based on complexity. Simple projects take 6-12 weeks, while enterprise solutions may require 3-6 months. We provide detailed timelines during the strategy assessment phase.

What ROI can I expect from AI consulting services?

Our clients typically see 200-400% ROI within 12-18 months. Benefits include increased efficiency, cost reduction, improved accuracy, and new revenue opportunities. We provide specific ROI projections for each project.

Do you provide ongoing support after implementation?

Yes, we offer comprehensive support including model monitoring, performance optimization, updates, and team training. Our support packages are customized based on your needs.

Ready to Transform Your Business with AI?

Join Fortune 500 companies already benefiting from our AI solutions. Get started with a free consultation and AI readiness assessment.