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The Tech Panda takes a look at recent tech launches.
Persistent Systems (BSE and NSE: PERSISTENT), a global Digital Engineering and Enterprise Modernization company, launched SASVA, a pioneering manageable and secure enterprise AI platform leveraging Large Language Models (LLMs) and Machine Learning (ML) to accelerate software releases, with faster time-to-market, and improved efficiency. SASVA is derived from the Sanskrit word Shashvatah, meaning timelessness, ensuring continual improvement across the ever-changing software landscape.
Sandeep Kalra, Chief Executive Officer and Executive Director, Persistent, said, “We’re proud to introduce SASVA, a groundbreaking platform that will revolutionize the software engineering and maintenance life cycle. Built using the latest LLM and ML technologies, we will utilize this platform to reduce manual efforts and ensure consistent quality. It delivers significant productivity gains and minimizes technical debt, providing contextual results tailored to each unique organization, industry, and domain. Throughout our over 30-year history, Persistent has led the market in innovation and with the launch of SASVA, we continue to apply the latest cutting-edge technologies to better serve our clients across industries.”
The Why
Traditional software engineering methods rely heavily on time-consuming manual tasks, often leading to technical debt due to dependencies on individual expertise and institutional knowledge. It is difficult to ensure efficiency, reliability, and scalability across the software development life cycle; these challenges are compounded later in the software life cycle when budget and resource limitations also come into play. Despite the advancements in Generative AI-powered platforms, there is a decline in productivity when managing complex projects that entail interdependencies among applications, a common scenario in complex solutions.
SASVA adopts a distinctive method by constructing a comprehensive knowledge base from vast datasets, including millions of code repositories and documents. Hybrid language models enable efficient utilization, with continual secure training on customer data sourced from various platforms like version control, ticketing systems, project management tools, and collaboration platforms. This rigorous process enhances privacy, security, and regulatory compliance, especially for sensitive data.
Features
SASVA will be embedded into software engineering to efficiently address distinct use cases by preventing technical debt in new development, minimizing accumulated technical debt in mid- to late-stage software, and addressing complex scenarios in software sustenance and specialized industries with enterprise scale.
SASVA streamlines the creation of project plans and generates contextual code modifications for seamless review.
In initial engagements, SASVA has reduced release times by an impressive 25% to 35% with improved quality and reduction in technical debt. SASVA enables clients across industries to boost enterprise productivity across different software phases delivering cost and time efficiency with improved quality.
RagaAI, the AI testing company, launched “RagaAI LLM Hub“, its open source and enterprise-ready LLMs evaluation and guardrails platform.
“At RagaAI, our mission is to empower developers and enterprises with the tools they need to build robust and responsible LLMs,” said Gaurav Agarwal, Founder and CEO of RagaAI. “With our comprehensive open-source evaluation suite, we believe in democratizing AI innovation. Together with the enterprise ready version, we’ve created a comprehensive solution to enable organizations to navigate the complexities of LLMs deployment with confidence. This is a game-changing solution that provides unparalleled insights into the reliability and trustworthiness of LLMs and RAG applications.”
Features
With over 100 meticulously designed metrics, it is the most comprehensive platform that allows developers and organizations to evaluate and compare LLMs effectively and establish essential guardrails for LLMs and Retrieval Augmented Generation (RAG) applications. These tests assess various aspects including Relevance & Understanding, Content Quality, Hallucination, Safety & Bias, Context Relevance, Guardrails, and Vulnerability scanning, along with a suite of Metric-Based Tests for quantitative analysis.
The RagaAI LLM Hub is uniquely designed to help teams identify issues and fix them throughout the LLM lifecycle, be it a proof-of-concept or an application in production. From understanding the quality of datasets to prompt templating and the choice of LLM architecture or vectorDBs, RagaAI LLM Hub identifies issues across the entire RAG pipeline. This is pivotal for understanding the root cause of failures within an LLM application and addressing them at their source, revolutionizing the approach to ensuring reliability and trustworthiness.
The RagaAI Platform is already being utilized across industries like E-commerce, Finance, Marketing, Legal, and Healthcare, and the RagaAI LLMs Hub supports developers and enterprises in various LLM applications including chatbots, content creation, text summarization, and source code generation. For instance, one may encounter hallucinations and incorrect outputs whilst developing a customer service chatbot, leveraging RagaAI LLM Hub’s comprehensive metrics, they can pinpoint and quantify the hallucination issue in the RAG pipeline. Additionally, the platform adeptly identifies nuanced customer issues and recommends specific areas within the pipeline for resolution.
The RagaAI LLM Hub helps in setting guardrails, ensuring data privacy and legal compliance, including transparency regulations and anti-discrimination laws. It plays a vital role in promoting ethical & responsible AI practices, such as in sensitive sectors like finance, healthcare, and law. Additionally, it helps mitigate reputational risks by adhering to societal norms and values.
Conversational artificial intelligence (AI) startup CoRover.ai launched CoroAssist, a secure GenAI Information Retrieval System designed to revolutionize how enterprises access and interact with crucial data. Powered by CoRover.ai’s Large Language Model (LLM), BharatGPT, CoroAssist leverages a state-of-the-art LLM-based RAG framework, enabling swift retrieval of accurate, real-time information from reliable sources.
Ankush Sabharwal, CEO of CoRover, expressed, “CoroAssist represents a remarkable leap forward in information retrieval for businesses. It swiftly delivers accurate, role-based information from a variety of reliable sources including websites, documents, videos, ERP/CRM systems, APIs, and more, all with proper references. Utilizing Virtual Assistants fluent in users’ preferred languages, it ensures better decision-making without any hassle. Our system is not only super secure but also built on an industry-specific LLM-based RAG framework, allowing for deployment in less than a day.”
He continued, “CoroAssist is the culmination of our team’s hard work and dedication. I would like to extend my heartfelt thanks to each member of our team for their relentless efforts in bringing this groundbreaking solution to life.”
The Why
The primary objective of CoroAssist is to enhance effectiveness, efficiency, and transparency across the enterprise ecosystem. By providing optimized decision-making tools and preventing reputational, compliance, and financial losses due to a lack of knowledge and timely information, CoroAssist aims to ensure overall success for enterprises in various sectors like banking, healthcare, education, compliance/governance, and more. CoroAssist for banks has already been launched and used.
Features
In a groundbreaking move towards efficient governance, Samba Deputy Commissioner Abhishek Sharma launched eSevak, an AI-based WhatsApp chatbot developed in collaboration with CoRover.ai, India’s leading AI startup at the inauguration of a host of digital services as a part of e-governance. eSevak enables citizens to directly communicate their grievances to department heads, facilitating prompt redressal and ensuring the quality disposal of public issues. This innovative solution promises to revolutionize citizen-government interactions by providing a seamless and accessible platform for grievance redressal.
Deputy Commissioner Abhishek Sharma commended the collaborative efforts of the DIO NIC and the eSevak team at CoRover.ai. He emphasized the transformative potential of digital solutions in empowering citizens and driving inclusive development.
Features
Installation of CCTV cameras across all tehsil offices, the implementation of e-office systems up to the naib tehsildar level, and the digitization of revenue records.
Additionally, a state-of-the-art digital record room equipped with advanced scanning and printing facilities was unveiled, further streamlining administrative processes.
In a strategic development, Zeeve, a prominent Blockchain Infrastructure-as-a-Service platform, launched a new tool ‘Traceye’, for easy, seamless, and cost-effective indexing of blockchain ledger and smart contract data. By supporting numerous blockchain protocols, appchains, and rollups with Shared and Dedicated indexer nodes, Traceye will make the lives of developers and businesses easier than ever. They will spend less time managing self-hosted infrastructure while directly indexing and decoding raw blockchain data
Dr Ravi Chamria, Co-founder and CEO of Zeeve, said, “With Traceye, users need not worry about any data inconsistency or maintenance of their indexer nodes. Developers building across any DeFi applications, metaverse or gaming Dapp, or on-chain data platforms where ledger/smart contract data is essential can use our managed infrastructure nodes without writing complex code for data retrieval and filtering. This allows projects to ship their dApp in days instead of weeks, leveraging custom GraphQL APIs. We’re certain Traceye will provide users with an easy, predictable, and smooth experience for all their blockchain data needs.”
Traceye accomplishes this task by leveraging open-source data indexing protocols like the Graph network and Subquery. Traceye can cater to all major blockchain ecosystems like EVM, Substrate, and Cosmos SDK Chains through these offerings including appchains and rollups. All major Public networks like Ethereum, Polygon, BSC, Gnosis, Fantom, Optimism, Avalanche, Arbitrum, and many more have default support on Traceye.
Features
Droom, an Indian online marketplace for buying and selling used cars, celebrates its 10th Founding Day anniversary by unveiling a suite of groundbreaking products designed to transform the used car industry. These new offerings – MyDroom, AdReach, GoDigital, and Chairman Club – empower consumers, businesses, and dealerships with comprehensive solutions for every stage of the car ownership journey.
“Droom has always been a trailblazer in leveraging AI and technology to disrupt the used car industry,” says Sandeep Aggarwal, Founder & CEO of Droom. ” We are not only pure-play E-Commerce for automobiles but also have built tech products and real IP. With these four products, we are expanding Droom’s charter not only while a transaction is happening but entire lifecycle management and helping enterprises, OEMs, dealers, and advertisers not only on the Droom platform but beyond Droom platform too. We are confident that these solutions will empower our partners and customers, propelling the Indian used car market towards a brighter future”, said Sandeep Aggarwal Founder & CEO of Droom.”
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