
SCIKIQ is one of the most innovative AI-native Data & Intelligence platforms for enterprises, built to make enterprise data AI-ready in weeks, not years.
Recognized by Forrester among leading AI-augmented data platforms, NASSCOM League of 10, YourStory Tech30, Inc42 and DataIQ, SCIKIQ is trusted by leading global enterprises across the USA, India, UK and UAE.
SCIKIQ brings Data Integration, Data Quality, Data Governance, Metadata Management, Data Lineage, Semantic Intelligence, Knowledge Graphs, Conversational Analytics, Generative AI, Data Products and AI Agents together in one unified platform. Unlike traditional data platforms that require enterprises to move or rebuild their technology stack, SCIKIQ works with what you already have. Connect SAP, Salesforce, Oracle, Snowflake, Databricks, AWS, Azure, GCP, data lakes, warehouses and enterprise applications through 200+ pre-built connectors, with no rip-and-replace.
What makes SCIKIQ different is Contextual Intelligence.
SCIKIQ doesn't just connect data; it helps AI understand its business meaning. Its semantic layer combines business terms, KPI definitions, metadata, lineage, ownership, rules, ontologies and relationships to create a trusted foundation for enterprise AI. Business users can talk to their data in natural language, investigate KPIs, discover root causes and generate insights without SQL. Data teams gain enterprise-grade governance, quality, lineage and control. AI teams get trusted, contextual data for building GenAI applications and intelligent AI agents.
Why enterprises choose SCIKIQ
AI-ready in 3–6 weeks | 167+ connectors | 99.9% availability | Multi-cloud | No-code | No vendor lock-in | No replatforming
Proven production deployments across Manufacturing retail, airlines, logistics, BFSI, Healthcare and others
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Plauti is a data quality platform built natively for CRM, designed for organizations that want tight governance, strong security, and practical control over the accuracy of their customer data. Unlike solutions that move data to external servers or require separate platforms, Plauti runs entirely inside your existing CRM infrastructure, so no data leaves your system and no additional security perimeter is introduced.
For Salesforce customers, Plauti covers the end-to-end data quality lifecycle:
Prevent duplicates at the source: Real-time alerts notify users of potential duplicates as they enter records, helping sales, marketing, and service teams keep data clean from the start.
Protect against hidden duplicates: Detect duplicates created by imports, integrations, and APIs to keep inbound data streams aligned with your standards.
Remediate at scale with batch jobs: Run configurable batch processes to find, review, and merge existing duplicates across large data volumes, with full audit trails that support compliance, internal controls, and reporting.
Verify contact information: Check email addresses and phone numbers before they’re saved to reduce bounce rates, improve campaign performance, and support more reliable outreach.
All of this operates on Salesforce’s own infrastructure, using your existing permissions, roles, and security model. There is no separate user login, no data sync lag to manage, and no additional compliance gap to justify to auditors or security teams.
For Microsoft Dynamics 365, Plauti focuses on robust duplicate prevention and control. Admins can configure real-time alerts, leverage API-based detection, run batch processes, and apply cross-entity matching rules to keep accounts, contacts, and leads aligned and consolidated.
Plauti is built for CRM admins, data stewards, and operations teams who need immediate, self-service control over data quality—without waiting for developers, complex projects, or long IT ticket queues.
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Melissa Clean Suite
The Melissa Clean Suite, formerly known as Melissa Listware, is designed to tackle the challenge of inaccurate data within platforms like Salesforce®, Microsoft DynamicsCRM®, and Oracle CRM® and ERP systems. This solution not only verifies and standardizes customer contact information but also corrects and enhances records to ensure that your data remains clean and usable. With the ability to create pristine datasets, it empowers businesses to excel in omnichannel marketing and boost their sales performance.
* Ensure contacts are accurately verified and autocompleted prior to entering the CRM system.
* Enrich records with essential demographic information to enhance lead scoring, segmentation, and targeting strategies.
* Maintain up-to-date and immaculate contact details to facilitate effective sales follow-up and marketing efforts.
* Safeguard the integrity of your customer data through real-time data cleansing at the point of entry or through batch processing.
In an era where data is pivotal for effective customer communication, decision-making, and analytical insights, having clean data is crucial. Neglecting this aspect can result in operational inefficiencies and distortions in understanding customer behavior.
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QVscribe
QRA’s innovative tools enhance the generation, assessment, and forecasting of engineering artifacts, enabling engineers to shift their focus from monotonous tasks to vital path development.
Our offerings automate the generation of safe project artifacts designed for high-stakes engineering environments.
Engineers frequently find themselves bogged down by the repetitive process of refining requirements, with the quality of these metrics differing significantly across various sectors. QVscribe, the flagship product of QRA, addresses this issue by automatically aggregating these metrics and integrating them into project documentation, thereby identifying potential risks, errors, and ambiguities. This streamlined process allows engineers to concentrate on more intricate challenges at hand.
To make requirement authoring even easier, QRA has unveiled an innovative five-point scoring system that boosts engineers' confidence in their work. A perfect score indicates that the structure and phrasing are spot on, while lower scores provide actionable feedback for improvement. This functionality not only enhances the current requirements but also minimizes common mistakes and fosters the development of better authoring skills as time progresses. Furthermore, by leveraging these tools, teams can expect to see increased efficiency and improved project outcomes.
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