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Empowering Enterprise
Data with Agentic AI

Converting the data into actionable insights for business growth
while ensuring flexibility, scalability, and effortless integration.

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Enterprisely Generative AI

Enterprises of all sizes and types are seeking a way to adapt to the AI age, but don’t want to start from scratch. Various companies aim to integrate AI-powered capabilities into their work ecosystem, utilizing fully enabled genAI services. With our large language models and foundation models, we’ve created generative AI services for enterprises that offer industry-grade security and privacy, along with rapid generation. Enterprisely GenAI is designed for customizability and scalability to meet your data, use cases, and customer needs.

Your Team Works Less, Gets Done More

AI Robot
01

Faster Innovation & Product Development

Accelerates research and development by simulating scenarios, generating designs, and drafting content. Reduces time-to-market for new services and products.

AI Robot
02

Operational Efficiency & Cost Reduction

Automates workflows like reporting, documentation, scheduling, and customer support. Cuts down manual labor and allocates your teams to higher-value tasks.

AI Robot
03

Hyper-Personalization at Scale

Tailors customer interactions, marketing campaigns, and product recommendations. Drives engagement, conversion rates, and long-term loyalty.

AI Robot
04

Predictive Insights

Leverages data to predict customer needs, optimize inventory, and forecast business outcomes accurately with AI-driven analytics.

Components of Enterprisely GenAI

Innovation Lab

A no-code interface to prototype and experiment with GenAI using enterprise data. Connects with multiple large language models (private and open). Has connectors to data sources like vector DBs, SQL, and graph DBS. Includes a prompt library to save, reuse, and manage prompts.

Intelligence Engine

The engine for building AI agents and applications using patterns like RAG (Retrieval Augmented Generation). Our engines use the best-in-segment LLM (large language models) libraries and tools like LangChain and LlamaIndex. It supports reasoning, dynamic problem solving, and tool use to assist building applications.

Trust & Validation Hub

Includes a framework to validate and monitor deployed GenAI applications with metrics & validations using the best-in-class patterns. Our frameworks use AI to AI testing that tracks drift, bias, and performance over time. Utilizes human-in-the-loop verification when it is required.

Orchestration Hub

Our Orchestration Hub uses an abstraction layer that routes, balances, and manages multiple LLM providers. This facilitates cross-LLM routing and switching to provide seamless multi-LLM integration. The hub manages load balancing, service priorities, and cost control. Enables prompt anonymization and domain constraints.

Model Factory

Pipelines to build and fine-tune LLMs and SLMs specific to the enterprise domain. The Model Factory uses techniques like parameter-efficient fine-tuning (PEFT), LoRA (Low-Rank Adaptation), and more to deliver a low-code approach for data fine-tuning. Supports both on-premises and cloud GPU servers.

Cost Command Center

A dashboard and financial operations module for cost visibility and control. Tracks LLM token usage (token-level) across providers and maps usage to cost (rate cards) to show cost per user/application. Allows budget policies and limits on usage to avoid surprise cost spikes.

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Client Success

A2 Cloud Hosting Services

Enterprisely GenAI helped A2 Cloud Hosting Services make smarter data-driven decisions, unlocking new levels of productivity and profits.

Read their success story

Asquare Cloud Hosting

By deploying our GenAI engine, Asquare Cloud Hosting turned complex data into actionable insights, promoting exponential growth.

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A2 Autocare

The Enterprisely GenAI engine assisted A2 Autocare in automating routine workflows, cutting process time by 45%.

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AStep Into the Ongoing GenAI Revolution

Unleash exponential growth with Enterprisely GenAI and
automate your business with benchmark innovation.

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