Striven is comprehensive business management software that reduces your expenses, enhances your workflows, and simplifies daily operations. Keep your company's information unified, integrated, and actionable.
With more than 20 years of experience in Software Services, we've partnered with over 8,600 organizations across numerous industries to help them create operations that are more protected, streamlined, and beneficial to their clients.
Our mission has always centered on helping people achieve more. Today, that mission drives everything in our software. We provide clear, uncomplicated pricing options and a guarantee you won't find anywhere else. You can begin using it today without spending a dime.
None of our plans include trials, time limits, or binding contracts.
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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, 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
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Cognaize
For the first time, artificial intelligence collaborates seamlessly with experts in specific fields and data analysts to introduce automation tailored for the financial services sector. Enjoy the advantages of continuously enhancing outcomes with every validated document processed. Our innovative platform simplifies the document automation journey, enabling a swift transition from initial idea to live application. You can easily modify workflows and extract insights that empower renowned data scientists with essential training datasets. Moreover, you can effectively incorporate AI models into these workflows to optimize performance, as our system autonomously assesses model outputs against both test datasets and live environments. To uphold rigorous standards concerning data privacy, audit trails, and compliance with regulations such as GDPR, Cognaize can be implemented in various environments including public or private clouds as well as on-premise setups. The software development kit (SDK) provides training data to support your data science team in retraining models and seamless integration, while application programming interfaces (APIs) facilitate the incorporation of Cognaize into your existing databases or downstream applications, ensuring a comprehensive solution for your automation needs. As organizations increasingly rely on AI-driven insights, the need for robust and adaptable systems will only continue to grow.
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ZeusDB
ZeusDB represents a cutting-edge, high-efficiency data platform tailored to meet the complexities of contemporary analytics, machine learning, real-time data insights, and hybrid data management needs. This innovative system seamlessly integrates vector, structured, and time-series data within a single engine, empowering applications such as recommendation systems, semantic searches, retrieval-augmented generation workflows, live dashboards, and ML model deployment to function from one centralized store. With its ultra-low latency querying capabilities and real-time analytics, ZeusDB removes the necessity for disparate databases or caching solutions. Additionally, developers and data engineers have the flexibility to enhance its functionality using Rust or Python, with deployment options available in on-premises, hybrid, or cloud environments while adhering to GitOps/CI-CD practices and incorporating built-in observability. Its robust features, including native vector indexing (such as HNSW), metadata filtering, and advanced query semantics, facilitate similarity searching, hybrid retrieval processes, and swift application development cycles. Overall, ZeusDB is poised to revolutionize how organizations approach data management and analytics, making it an indispensable tool in the modern data landscape.
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