Building a copilot is not as easy as you think

Steps for building a copilot are not as easy as you think!

The core problems to deliver enterprise copilots are:

  • Enterprise grade copilots are complex and have lots of moving parts.
  • The industry has a skills gap when it comes to filling the roles needed to deliver these complex copilot solutions.
  • The top AI risks (inaccuracy, cybersecurity, compliance, explainability, privacy) are not being mitigated.
  • Delivery of a copilot solution is time consuming, expensive, and frustrating.
An enterprise-grade LLM-powered solution has a lot of moving parts
LLM application architecture Source: https://a16z.com/2023/06/20/emerging-architectures-for-llm-applications
The industry has a skills gap

These solutions require a lot of AI and engineering skills, some of them very new and hard to hire for.

Hard Skills to Hire
  • Natural Language Processing
  • Vector Embeddings
  • Prompt Engineering
  • LLM patterns/architectures
  • LLM performance eval/tuning
  • LLM orchestration frameworks
  • LLM red teaming
Easier Skills to Hire
  • Search indexing
  • Cloud solution development
  • Data platform integration
  • Data security
  • Application UI development
  • DevOps
The top AI risks are not being mitigated

"Few companies seem fully prepared for the widespread use of gen AI--or the business risks these tools may bring."

McKinsey State of AI 2023
Inaccuracy

Is the AI current and accurate?

Cybersecurity

Is the AI hardened against attacks?

Compliance

Does the AI protect sensitive data?

Explainability

Can the AI explain its predictions?

Privacy

Does the AI protect the privacy of users?

It can be a long and frustrating journey
It can be a long and frustrating journey

What is FoundationaLLM?

Building an Enterprise-grade, secure, and trustworthy copilot is very hard… most are at the beginning of this journey and learning the hard way.

Architect and build

FoundationaLLM is a groundbreaking platform to revolutionize how to build and manage, secure, trustworthy, enterprise-grade Copilots.

Take off running

Simplify and Streamline building knowledge management and analytic Copilots, our solution ensures rapid deployment, reducing from 1+ years to just a few months to deployment.

An intelligent mind

Deployed directly within the enterprise cloud subscription, FoundationaLLM offers unparalleled control, ensuring proprietary data remains protected and uncompromised.

1Why is FoundationaLLM needed?

The core challenges to delivering enterprise copilots are:

  • Enterprises want to start quickly with their copilot without compromising security, governance, and data.
  • Enterprise grade copilots are complex and have lots of moving parts.
  • The industry has a skills gap when it comes to filling the roles needed to deliver these complex copilot solutions.
  • The top AI risks (inaccuracy, cybersecurity, compliance, explainability, privacy) are not being mitigated.
  • Delivery of a copilot solution is time consuming, expensive, and frustrating.

2How does it work?

FoundationaLLM deploys a comprehensive and highly configurable copilot platform to a customer's cloud environment in minutes

  • Simplifies integration with enterprise data sources used by agent for in-context learning (e.g., enabling RAG, CoT and ReAct patterns)
  • Provides defense in depth with fine-grain security controls over data used by agent and pre/post completion filters that guard against attack.
  • Hardened solution attacked by an LLM red team from inception.
  • Scalable solution load balances across multiple LLM endpoints.
  • Extensible to new data sources and LLMs.

3FoundationaLLM provides a copilot in a box
FoundationaLLM provides a copilot in a box
FoundationaLLM provides a comprehensive, flexible solution to building a copilot with your choice of models and your data. It enables both course grain and fine grain security, to keep your models grounded only in what the user should be allowed to see.

Would you like to learn more?    Read the docs.