Custom ML Models | NLP | Computer Vision | AI Consulting
Bespoke AI Engineering for Any Challenge
When off the shelf AI isn't enough, MTT engineers purpose built solutions from the ground up. From raw problem definition to production deployment, we design, train, and operate custom AI systems that deliver measurable ROI.
The Custom AI Challenge
Generic AI tools solve generic problems. Real competitive advantage requires AI engineered for your specific domain and data.
Off the Shelf Doesn't Fit
Generic AI APIs are trained on broad data that doesn't reflect your industry terminology, workflows, or edge cases.
Data Science Resource Gap
Building an in house ML team costs $2M+ annually. Most organizations lack the talent to develop and maintain custom models.
Model Drift & Degradation
AI models degrade over time as data distributions shift. Without MLOps infrastructure, performance silently erodes.
Data Privacy Constraints
Sending sensitive data to third party AI APIs creates compliance and security risks many enterprises cannot accept.
Integration Complexity
Custom AI needs to integrate seamlessly with existing enterprise systems a challenge that requires both AI and engineering expertise.
ROI Uncertainty
Without domain expertise, organizations struggle to identify which AI use cases will actually generate returns vs. become expensive experiments.
MTT Custom AI: From Problem to Production
We bring the complete stack: domain experts who understand your industry, ML engineers who design architectures, and MLOps specialists who keep models performing. The result is AI that becomes a core business asset.
- Domain specific model architecture design based on your unique data characteristics and business requirements
- Private model training on your proprietary data no third party data exposure
- End to end MLOps pipeline with automated retraining, drift detection, and performance monitoring
- Computer vision systems for defect detection, object recognition, facial analysis, and document processing
- NLP pipelines for sentiment analysis, entity extraction, document classification, and conversational AI
- Explainable AI (XAI) capabilities providing model decision rationale for regulated industries
Custom AI Capabilities
Custom ML Model Development
End to end model design, training, validation, and deployment for any classification, regression, or generative task.
NLP & LLM Fine Tuning
Custom language models for document classification, extraction, summarization, and conversational AI fine tuned on your corpus.
Computer Vision Systems
Object detection, segmentation, OCR, quality inspection, and facial recognition systems for industrial and enterprise use cases.
MLOps & Model Management
Automated pipelines for CI/CD of ML models, feature stores, drift detection, A/B testing, and multi model serving.
AI Strategy Consulting
Executive-level AI roadmapping, use case prioritization by ROI, and build vs buy analysis for digital transformation.
Generative AI Integration
Production grade integration of LLMs (GPT-4, Claude, Gemini) with enterprise guardrails, RAG pipelines, and fine tuning.
On-Premise Deployment
For data-sensitive organizations, we deploy fully self hosted AI infrastructure with zero external data egress.
Real Time Inference APIs
Low-latency model serving APIs with auto scaling, load balancing, and SLA guarantees down to 50ms response time.
Our Custom AI Development Process
Discovery & Use Case Design
Deep-dive workshops to identify the highest-ROI AI use cases, define success metrics, and assess data readiness.
Data Engineering & Feature Pipeline
We build the data ingestion, cleaning, labeling, and feature engineering infrastructure that powers model training.
Model Development & Validation
Iterative model development with your team's feedback, benchmarking against baselines, and rigorous testing.
Production Deployment & MLOps
Containerized deployment with monitoring dashboards, automated retraining pipelines, and ongoing model governance.