AI Solutions

Your Own AI
Built From Scratch

We create custom AI models trained specifically for your business — no third-party APIs, complete data privacy, and full ownership. From LLMs to computer vision, we build AI that works exclusively for you.

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Why Custom AI?

Stop Renting Intelligence.
Own It.

Off-the-shelf AI APIs like OpenAI or Claude are powerful, but they come with limitations: data privacy concerns, usage limits, recurring costs, and generic responses. A custom AI model is trained exclusively on your data, understands your domain deeply, and operates entirely under your control.

⚠️ Important: Timeline & Investment
Building a custom AI model is not a quick project. It requires 2+ months of dedicated work from data preparation to deployment. This is a premium service with higher pricing than our standard web development. GPU compute costs during training and inference are paid separately by the client — we handle the architecture and training, you own the infrastructure.

What We Build

AI Solutions For
Every Business Need

Our AI team has built and deployed numerous custom models. From natural language processing to computer vision, we have the expertise to train AI that solves real business problems.

Custom LLMs
Your own large language model trained on your company's documents, support history, and knowledge base. No data leaves your servers. Perfect for internal knowledge management and customer support.
LLaMAMistralPyTorch
Computer Vision
Object detection, image classification, OCR, and visual inspection systems trained on your specific use case. From quality control to document processing — built for your exact requirements.
YOLOResNetOpenCV
Predictive Analytics
Forecast sales, predict churn, optimize inventory, and identify trends before they happen. Custom machine learning models trained on your historical data to give you actionable insights.
TensorFlowScikit-learnPandas
Recommendation Engines
Content and product recommendation systems that learn from user behavior. Increase engagement, boost conversions, and create personalized experiences for every user.
Collaborative FilteringMatrix Factorization
NLP & Text Analysis
Sentiment analysis, document classification, entity extraction, and automated summarization. Process unstructured text data at scale with models fine-tuned for your industry terminology.
spaCyHuggingFaceBERT
AI Infrastructure
GPU cluster setup, model deployment, API serving, and monitoring. We build the complete infrastructure to train, host, and scale your AI models securely in your environment.
KubernetesDockerAWS/GCP

Our Track Record

We've Built AI Models
That Drive Real Results

Our team has deep experience in machine learning engineering. We've trained custom models across multiple domains — from healthcare document processing to e-commerce recommendation systems.

15+
Custom AI Models Deployed
From LLMs to computer vision systems, we've built and deployed AI solutions across healthcare, finance, e-commerce, and manufacturing.
2.5M+
Parameters Trained
We've trained models ranging from efficient 7B parameter models to large-scale 70B+ parameter systems for enterprise clients.
99.2%
Average Model Accuracy
Our fine-tuned models consistently achieve high accuracy on domain-specific tasks, often outperforming generic API solutions.
AI Development Work

The Journey

How We Build
Your Custom AI

Creating a custom AI model is a complex process that requires expertise across data science, machine learning engineering, and infrastructure. Here's how we do it:

Discovery & Data Audit
We start by understanding your business problem and auditing your available data. Quality data is the foundation of any good AI model — we assess what you have and what we need to collect.
Data Preparation & Labeling
Raw data needs cleaning, formatting, and often labeling. This is the most time-intensive phase but critical for model quality. We establish data pipelines that can handle continuous updates.
Model Architecture Design
Based on your requirements, we select or design the appropriate architecture. This could be fine-tuning an existing foundation model or building something custom from scratch.
Training & Optimization
The model is trained on GPU clusters (client-funded). We monitor training metrics, handle checkpointing, and perform hyperparameter tuning to maximize performance.
Testing & Validation
Rigorous testing on held-out datasets ensures the model performs well on unseen data. We measure accuracy, latency, and resource usage to meet your requirements.
Deployment & Monitoring
The model is deployed to your infrastructure with monitoring, logging, and automated retraining pipelines. You get full documentation and our team stays available for support.

Investment

Transparent Pricing
No Hidden Costs

Understanding the Investment

Development Fee: Building custom AI is complex work requiring specialized expertise. Our development fee reflects the months of engineering work involved in training, testing, and deploying your model.

GPU Compute (Client Responsibility): Training AI models requires significant GPU resources. These costs are paid directly by you to the cloud provider (AWS, GCP, or Azure). We optimize training to minimize costs, but expect GPU expenses during the 2+ month training period.

Ongoing Inference: After deployment, running your AI (inference) also requires GPU resources. We can help optimize for cost-efficiency, but ongoing compute costs remain your responsibility.

Standard Custom AI
Fine-tuned foundation model for specific tasks
Starting from custom quote based on complexity
Enterprise AI System
Full-scale model training from scratch with infrastructure
Custom enterprise pricing based on model size and requirements
AI Consulting
Feasibility study, architecture planning, or team training
Available as standalone or part of development package

Ready for the future?

Let's Build Your
Custom AI Solution

Book a consultation to discuss your AI project. We'll assess feasibility, estimate timeline, and provide a detailed proposal.

Start Your AI Project