There is increasing adoption of AI across enterprises. There are AI and SaaS startups who would like to deliver results in a new way (avoiding cost and complexity of traditional AI) — modular AI.
Modular AI systems are pre-built, function-specific components that can be plugged into existing systems. These components can be used individually or assembled together to automate/optimize business workflows. These modules are designed for tasks such as fraud detection, NLP and sales forecasting. These could be plugged into existing systems, one at a time. Thus they are easily deployed, managed and upgraded. These could be added/swapped. There is no need to rebuild the entire systems. Companies can pick and use only when they need.
Modular AI is speedy, flexible and affordable. It permits businesses to start small and scale gradually. There is no need to extensively overhaul the existing tech infrastructure. The organisations remain nimble.
The shift towards modular AI is led by startups such as Gapshup, Zoho, Gnani AI, CoRover AI and Sima AI.
LLMs evolve quickly. A system is needed that could keep pace with this evolution. Thus plug-and-play was designed. It gives speed, flexibility and affordability.
The startups are at the forefront of this shift. There is a surging demand for modular offerings. There are multi-lingual chatbots, predictive analytics and voice based biometrics modules. Such components are used to solve problems.
Zoho is a SaaS giant. Its branded modules are Zia AI modules. They are embedded in 55 Zoho products. It covers anything from sentiment analysis to time series forecasting.
Customers tap AI everywhere in their workflow without paying for compute they do not need. The privacy is maintained since no customer data is ever fed into model training. Zoho processes 16 billion API calls monthly though its modular services. These modules are trained narrowly and outperform larger LLMs (both in cost and speed).
Gnani AI is conversational AI startup. There is no rip-and-replace IT. Gnani expands its modular libraries into industry-specific workflows with deep integration across CRM, loan management, customer engagement. It has strong traction with BFSI sector, telecom and BPO.
India values multi-lingual support of modular AI. West Asia values its accuracy and conversational quality. Latin America likes its quickness to experiment and scale.
CO-Rover provides NLP modules, speech translation and integration services.
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