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D DIAL logo

AI DIAL Enterprise AI Orchestration Platform

4.7

(37 ratings)
Open Source
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D DIAL logo

AI DIAL

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Overview
Benefits
Features
Use Cases
Reviews
Overview
Benefits
Features
Use Cases
Reviews

Solution Overview

As an AI orchestration platform, DIAL (Deterministic Integrator of Applications and LLMs) merges the power of Large Language Models (LLMs) with deterministic code — offering a secure, scalable, and customizable AI workbench to streamline and enhance AI-driven business solutions.

This AI orchestration and automation platform helps enterprises speed their experimentation and innovation efforts across an extensive range of LLMs, AI-native Applications and Custom Add-ons, and provides a practical approach for engineering business solutions with reliable AI capabilities.

The DIAL Platform offers a unified user interface, empowering businesses to leverage a spectrum of public and proprietary LLMs, Add-ons, APIs, Datastores and Business Applications. This integration promotes the development of novel enterprise assets that co-exist seamlessly with an organization's existing workflows.

Moreover, Applications and Add-ons can be implemented through diverse approaches, encompassing LangChain, LLamaIndex, Semantic Kernel or custom code — all within an integrated, secure and scalable framework. DIAL AI orchestrator aggregates multi-cloud assets libraries including components, routing, rate-limiting software, monitoring tools, load-balancing solutions and deployment scripts. This extensive, curated toolkit supports a wide range of business use cases and integration scenarios and offers approaches to significantly optimize the consumption of external LLMs.

Customer problem

Companies in every business sector are looking to use AI to help with their business workflows. However, these enterprises often find it difficult to adopt Generative AI solutions within their ecosystem due to security requirements and risks, lack of business-case clarity, internal data being hosted in databases inaccessible to external AI solutions, and other internal roadblocks such as a fear of vendor lock.

EPAM Solution

AI DIAL addresses these challenges by providing the first AI orchestration platform developed specifically with enterprises in mind. With a cloud-agnostic deployment process, out-of-the-box support for dozens of different LLMs, and an API-first approach that allows for seamless integration of custom applications, AI DIAL has done the heavy lifting to make Generative AI solutions much faster, easier, and safer to implement.

DIAL Open Source Map
DIAL Platform
DIAL UI
DIAL UI
DIAL UI
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DIAL Open Source Map
DIAL Platform
DIAL UI
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DIAL UI

1/6

Benefits

Easy access to several LLMs

Unified access point, with built-in replay and comparison functionality

AI Development Studio

Rich APIs make it easy to integrate custom applications

Data ownership and governance

Integration with most SSO providers to make sure data stays where it belongs

Complex workflow support

DIAL provides “Agent Management Workflows” that allow for complex query routing

Open Source

Source code is free and can be deployed on a client’s infrastructure of choice

Features

  • Unified Access: As an AI orchestrator, DIAL is constantly updated to work with all the latest models from Azure Open AI Services, GCP Vertix, AWS Bedrock, and dozens more – including several Open Source models like Mixtral 8x7B
  • Multimodality: Many of these models now support features like image generation, voice-to-text, and other forms of mixed-media, and AI DIAL integrates with them seamlessly
  • Built-in Libraries: Designed to accelerate the SDLC in enterprises, AI DIAL has several built-in libraries that can assist in developing applications around query generation, RAG, and more
  • Domain Experience: EPAM has deployed AI DIAL to clients across several different business verticals and, as a result, can share recommendations for best-practice implementations for every client
  • Development Flexibility: As it was built with an API-First approach, AI DIAL allows customers to transition their AI-driven applications quickly and painlessly from model to model, without fear of vendor lock or working with outdated LLMs

Use Cases

Economics

Problem Statement:

  • Financial data is difficult to access and queries are challenging to write

Solution Proposed:

  • Use AI DIAL to create a Data Assistant

Achieved Results:

  • We developed StatGPT for AI DIAL

Pharma

Problem Statement:

  • Massive amounts of data need to be processed and searchable

Solution Proposed:

  • Use AI DIAL to replace internal customer’s APIs

Achieved Results:

  • Deployed DIAL on client’s environment and developed PII Masking Application

Customer Ratings & Reviews

4.7

Based on 37 votes

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