Mtoag Technologies Pvt LTD.

MTOAG Technologies is an India-based AI development firm with 17 years of engineering experience. The company builds custom AI solutions—from LLM applications and AI agents to SaaS platforms—for enterprises in construction, logistics, fintech, healthcare, and other verticals. Rather than selling off-the-shelf tools, MTOAG positions itself around problem-solving: understanding client data and workflows before designing AI that fits operational reality, not the reverse.

The firm has delivered concrete projects. PlanTech, a US construction company, saw 60% reduction in paperwork and 3× faster team coordination after MTOAG built AI-powered workforce tracking and task scheduling apps. Getit, an on-demand logistics platform, achieved 50% faster material procurement with a multi-app delivery platform (customers, vendors, drivers). A sports betting client went from 40–50% algorithm accuracy to 85–90% betting accuracy using an ML-powered Betfair bot. MoneyApp, a Lebanese insurance provider, processed loans 80% faster after MTOAG developed a paperless lending app with automated calculations.

Services and capabilities

MTOAG's service menu splits into AI development, LLM-specific work, and industry verticals. On the AI side: AI agents (workflow automation, predictive insights), AI strategy consulting (roadmaps and governance), custom software development (mobile and web with machine learning), generative AI systems, and chatbot development. For LLMs specifically, the firm offers strategic consulting, domain-specific model training, fine-tuning of pre-trained models, custom LLM app development, model integration into existing systems, and data annotation (preparing and labeling datasets).

Industry-specific offerings span retail (personalized recommendations, inventory optimization), finance (fraud detection, risk management, investment analytics), healthcare (diagnosis support, treatment planning, imaging analysis), manufacturing (predictive maintenance, production scheduling, quality control), logistics (route optimization, demand forecasting, warehouse automation), on-demand platforms (supply-demand matching, dynamic pricing), travel (itinerary planning, dynamic pricing, customer support), real estate (property valuations, lead scoring, virtual tours), insurance (claims automation, fraud detection, risk assessment), and entertainment (content recommendations, audience analytics).

The company also builds SaaS platforms itself: cloud applications with embedded AI agents, AI-powered API integrations for connecting models and services, cybersecurity threat detection, and AI-assisted UI design. Pricing starts at $15,000–$30,000 for smaller AI applications; enterprise platforms can exceed $100,000. A basic prototype takes 6–10 weeks; production-grade systems typically require 3–6 months.

Notable work

PlanTech (US construction) engaged MTOAG to solve workforce coordination bottlenecks caused by paper-based tracking. MTOAG delivered web and mobile apps with AI-powered workforce tracking and task scheduling. Result: 60% reduction in paperwork, 3× faster team coordination, real-time workforce visibility.

Getit (on-demand logistics) needed to connect construction contractors, material vendors, and drivers without system delays. MTOAG built an AI-enabled platform with separate apps for each user type plus real-time tracking. Impact: 50% faster material procurement, real-time delivery coordination, streamlined vendor-driver communication.

A sports betting platform (using BetFair) faced low-accuracy predictions (40–50%) from its existing algorithm. MTOAG developed an ML-powered bot using Node.js APIs to analyze live market data. New accuracy: 85–90% with 99%+ real-time data sync.

MoneyApp (Lebanon-based insurance and lending provider) had fully manual loan processing that was slow and error-prone, compounded by low tech familiarity among customers (seniors, rural families). MTOAG built a simple, paperless lending app with intuitive UI, automated loan processing, and error-free calculations. Loan processing accelerated 80%; manual errors were eliminated.

How they work

MTOAG starts with a feasibility assessment: evaluating the problem, available data, and expected outcomes to determine if AI or traditional automation is the right fit. The firm emphasizes transparency throughout—clients are part of the journey, not passive observers. Post-launch, MTOAG monitors performance, retrains models, and scales systems as the business grows. The company claims AI is not a set-and-forget investment; it evolves, and so does ongoing support. No specific engagement models (fixed-price vs. T&M vs. dedicated team) are detailed in the source.

Team and credentials

The source does not name founders or disclose total team size. The firm has 17 years in business. Client testimonials come from Michael Tedesco (President, Genetech Building Systems), Lindsay Ugast (Founder & CEO, Flying Freely), Ritez Chettri (Proprietor, Footprint Holidays), and Rewaj Chettri (CEO, NE Taxi). No certifications (ISO, SOC 2, GDPR compliance) are mentioned. The site lists phone support in 40+ countries, including the US, UK, UAE, Singapore, Australia, Canada, Germany, France, Japan, China, Brazil, South Africa, and others, suggesting multilingual capability. No formal security or compliance credentials are stated.