Covasant

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Covasant delivers AI-driven Service‑as‑Software solutions to streamline enterprise operations and accelerate digital transformation. Their platform integrates intelligent engineering, cloud architecture, cybersecurity, and compliance tools into cohesive workflows. Key service areas include: Intelligent Engineering & App Modernization: AI-powered software development and legacy system modernization for faster deployment, fewer manual processes, and improved agility Cloud Engineering & FinOps: Secure, multi‑cloud infrastructure design, application and data migration, cost governance, and sustainability monitoring across AWS, Azure, GCP, and private clouds covasant.com Cybersecurity & XDR: 24/7 threat detection, incident response, managed XDR, and compliance support to proactively defend against evolving cyber threats covasant.com Compliance & Risk Management (konaAI): ML-augmented monitoring for fraud, bribery, sanctions, ESG, and financial risk—including real-time alerts and ERP integration Agentic AI Integration: Partnership with Botminds enables rapid deployment of intelligent agents for autonomous, context-aware process automation across sectors like healthcare, BFSI, manufacturing, and media

Auraa

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Auraa is Covasant's Databricks-native, agent-driven data platform which is the fastest path to AI-ready data on Databricks. With its conversational AI capabilities in natural language, enterprises can use agents to discover various data sources, build pipelines, enforce data quality, and register everything in Unity Catalog autonomously, from day one. Auraa eliminates pipeline code, engineering backlog, and months of manual configuration. While creation of a datalake on Databricks usually takes more than 18-24 months, Auraa onboards the first source in under 15 minutes, deploys the first use case within hours, and shrinks the overall deployment timeframe to about 8-10 weeks, and reduces the overall implementation cost by upto 70%. Auraa treats every data engineering decision as structured, versioned, governed metadata rather than fragile hand-coded pipelines. Auraa ensures Databricks lakehouse is reproducible, auditable, and continuously improvable by agents The data foundation platfom and services comply with ISO 42001, 27001, 27701, and other data security and privacy requirements such as HIPAA and GDPR in agentic solutions built by the company

CAMS (Covasant Agent Management Suite)

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CAMS is positioned as an AI agent lifecycle management platform for enterprise agent development and oversight. It includes three components: an agent studio, an agent registry and marketplace, and a control tower. he agent studio serves as the development and configuration environment. It is used to design, test, and refine agents, including the definition of objectives, workflows, and integrations with enterprise systems. The studio incorporates core services and data tools to support the creation and configuration of digital workers. These include: Document intelligence to convert documents into JSON files to be used in agents RAG builder to support the creation of retrieval augmented generation systems Ingestion advisor to optimize data being ingested into the digital workers Data quality tools to assess the data for accuracy and consistency AutoML for support in developing machine learning platforms Pre-trained industry models. Agents use MCP-based protocols to interact with other agents and external services. Users can configure and manage MCP servers within the platform. The studio includes a playground environment for testing, where users can inspect prompts, sub-agents, and connected knowledge sources. Covasant is developing additional regression-testing capabilities to evaluate agent behavior across prompt variations, including monitoring for hallucination. Before release, agents are validated in an agent test bench that simulates production scenarios to review performance, reliability, and policy adherence. The environment includes monitoring, guardrail checks, and parameter tuning.

SalesPulze

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SalesPulze is Covasant's meeting intelligence product that transforms every Microsoft Teams or a Zoom conversation into structured, actionable data, automatically, with zero manual effort. Built on the CAMS platform, it addresses a critical enterprise requirement of gaining insights relating to decisions taken, risks generated, and commitments given during the meetings. SalesPulze operates across three intelligence layers: Portfolio Intelligence (Sales Intel Hub): A real-time command center giving leadership visibility into KPIs, blockers, task completion, and meeting hygiene across the entire organization Series Intelligence: Tracks patterns across recurring meetings, making execution gaps, and recurring blockers visible before they compound Meeting Intelligence: Every meeting produces a structured brief including a Decision Ledger, sentiment score, risk signals, auto-translated transcripts, and strategic insights generated by agentic AI The Meeting Prep Pack, automatically generated before each session, extracts prior decisions, open actions, and AI-generated risk flags so that participants walk in prepared, and are not catching up on discussion points. SalesPulze ingests meeting transcripts from every region and level of your sales hierarchy and runs agents across them to surface competitive signals, message adoption, regional gaps, and early attrition indicators. Designed for large organizations where ground-level intelligence rarely reaches leadership. Customers across FMCG, banking, and manufacturing have seen task completion rates jump from 61% to 89%, compliance lag drop from 6.3 days to same-day visibility, and a 2.3x improvement in execution health. SalesPulze is typically deployed and made live within 2–3 weeks. It is SOC 2 Type II, GDPR, and HIPAA compliant, making it enterprise-ready for regulated industries out of the box.

ARIIA(Agentic Reasoning Intelligence and Insights Assembly)

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Covasant’s ARIIA platform pulls data from multiple data sources through 200+ pre-built connectors, builds a structured internal representation using a combination of structured storage, a vector store for entity relationships, and a knowledge graph for cross-entity patterns. On top of that sits a reasoning and rules engine which together form the reasoning layer much needed for the AI agents. Covasant offers this platform as a service, and also offers professional services for enterprises in data management, automated data discovery, metadata integration, ETL/pipeline generation, data quality management, governance policy enforcement, and data ingestion for RAG use cases. The suite supports multi-format data and aims to improve automation and performance in data pipelines. It has various features now built in within the platform.