Avaamo Launches LLaMB
February 22, 2024

Avaamo released Avaamo LLaMB™, a new low-code framework for building generative AI applications in the enterprise safely, securely, and fast.

Avaamo LLaMB addresses the key challenges in enterprise adoption of Generative AI: eliminating hallucinations, integrating disparate enterprise content, automating cross-enterprise workflows and accommodating any large language model (LLM) the enterprise chooses.

Avaamo LLaMB is the latest in Avaamo’s suite of AI products reinventing how enterprises leverage AI technology to drive business value. Avaamo’s AI technology automates conversations, tasks and workflows and enables seamless self-service experiences across call centers, HR, IT, procurement and patient communication in healthcare. Unlike off-the-shelf LLMs, Avaamo’s LLaMB is purpose-built for the enterprise. The technology is not only safe and secure but comes pre-tuned for employee experience, patient experience, and customer experience use cases. It includes advanced data ingestion and content filtering layer and uses dynamic grounding to incorporate external and evolving information during conversations to avoid hallucinations. LLaMB is the fastest framework for building LLM applications in the enterprise.

LLaMB is built on Avaamo’s generative AI capabilities and includes frameworks for IT, HR, customer service and financial services departments.

“Despite the rapid development of generative AI products and the accompanying hype cycle, the use of generative AI in the enterprise has been mostly experimental and simple retrieval-augmented generation use-cases with a few documents,” said Ram Menon, CEO and co-founder of Avaamo. “Enterprises’ need for security, safety, reliability, scale and trust requires more than what the off-the-shelf LLMs can deliver. We have built our generative AI products from the ground up for the specific and complex needs of the enterprise. Our LLaMB framework is the fastest and easiest way to build, deploy, and manage the LLMs enterprises prefer to reshape and transform their business.”

Avaamo’s LLaMB’s suite of capabilities includes:

- Trust Architecture: LLaMB’s trust layers encrypt all prompts with a zero retention guarantee ensuring out-of-the-box data security with GDPR, CCPA, and SOC2 compliance.

- Dynamic Prompts: This feature eliminates the need for enterprise developers to craft, manage or update prompts or build custom libraries for any of their use cases “

- Data Sync: With 1000’s of out of the box connectors, any data source- structured, unstructured, or semi-structured from enterprise systems can be ingested.

- Data Moderator: Incorrect responses can often be traced back to weak, contradictory, or outdated information. Data moderator scans for these anomalies and offers actionable insights to identify gaps and improve overall quality for better interactions and enterprise-wide use.

The LLAMB framework enables enterprises to build a new class of GenAI applications that can deliver trusted real-time experiences across the organization.

LLaMB for IT automatically resolves IT tickets for employees by finding answers and automating enterprise tasks across all business systems.

LLaMB for HR responds to and resolves HR-related cases instantly tailored to employees’ locations, roles, and access privileges.

LLaMB for Customer Service gives customers personalized omnichannel experiences based on integration with enterprise customer service content and CRM applications.

“Avaamo and Wipro have created novel ways to improve employee experience using GenAI. We have been working together to implement an AI Playbook and have deployed over 40 use cases for 200,000 employees spread over 53 countries,” said Anup Purohit, CIO of Wipro. “By building on Avaamo’s GenAI technology in new and secure ways, we plan to continue our digital transformation journey and further enhance our employees’ experience.”

Share this

Industry News

November 21, 2024

Red Hat announced the general availability of Red Hat Enterprise Linux 9.5, the latest version of the enterprise Linux platform.

November 21, 2024

Securiti announced a new solution - Security for AI Copilots in SaaS apps.

November 20, 2024

Spectro Cloud completed a $75 million Series C funding round led by Growth Equity at Goldman Sachs Alternatives with participation from existing Spectro Cloud investors.

November 20, 2024

The Cloud Native Computing Foundation® (CNCF®), which builds sustainable ecosystems for cloud native software, has announced significant momentum around cloud native training and certifications with the addition of three new project-centric certifications and a series of new Platform Engineering-specific certifications:

November 20, 2024

Red Hat announced the latest version of Red Hat OpenShift AI, its artificial intelligence (AI) and machine learning (ML) platform built on Red Hat OpenShift that enables enterprises to create and deliver AI-enabled applications at scale across the hybrid cloud.

November 20, 2024

Salesforce announced agentic lifecycle management tools to automate Agentforce testing, prototype agents in secure Sandbox environments, and transparently manage usage at scale.

November 19, 2024

OpenText™ unveiled Cloud Editions (CE) 24.4, presenting a suite of transformative advancements in Business Cloud, AI, and Technology to empower the future of AI-driven knowledge work.

November 19, 2024

Red Hat announced new capabilities and enhancements for Red Hat Developer Hub, Red Hat’s enterprise-grade developer portal based on the Backstage project.

November 19, 2024

Pegasystems announced the availability of new AI-driven legacy discovery capabilities in Pega GenAI Blueprint™ to accelerate the daunting task of modernizing legacy systems that hold organizations back.

November 19, 2024

Tricentis launched enhanced cloud capabilities for its flagship solution, Tricentis Tosca, bringing enterprise-ready end-to-end test automation to the cloud.

November 19, 2024

Rafay Systems announced new platform advancements that help enterprises and GPU cloud providers deliver developer-friendly consumption workflows for GPU infrastructure.

November 19, 2024

Apiiro introduced Code-to-Runtime, a new capability using Apiiro’s deep code analysis (DCA) technology to map software architecture and trace all types of software components including APIs, open source software (OSS), and containers to code owners while enriching it with business impact.

November 19, 2024

Zesty announced the launch of Kompass, its automated Kubernetes optimization platform.

November 18, 2024

MacStadium announced the launch of Orka Engine, the latest addition to its Orka product line.