AI DIAL Enterprise AI Orchestration Platform
AI DIAL
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.
1/5
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 as an AI orchestration platform 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
Additional Information
Questions & Answers
Integrates with
AWS
Azure
GCP
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