# Plexara > Standards-based data integration for the AI era. Plexara transforms enterprise data into a domain-expert training manual for AI through governed, semantically rich integration via the Model Context Protocol (MCP). Plexara is a product of Deasil Works, Inc. It is not a SaaS tool. It is an engineered solution pairing platform with professional services. Built on open standards (MCP), it provides federated SQL queries, semantic enrichment, knowledge capture, lineage-aware intelligence, persona-based access control, enterprise security, audit logging, object storage integration, and metadata governance. ## Home ### Enterprise Data Integration on MCP for the AI Era Your AI should know your business as well as your best people do. Plexara transforms your enterprise data into a domain-expert training manual for AI. Not through model training, but through governed, semantically rich integration that any AI agent can use today. ### Most Organizations Are Not AI-Ready It is not an AI problem. It is a data problem. - 95% of generative AI pilots are failing, largely due to data infrastructure gaps (Source: MIT) - 15% of enterprises have infrastructure ready for AI (Source: Cisco AI Readiness Index) AI sees rows, not meaning. AI can query your data, but it does not know what the data means. It cannot distinguish deprecated tables from active ones, or identify which columns contain sensitive information. Context lives in people, not systems. Business rules, data ownership, quality caveats: this context exists only as tribal knowledge in people's heads. When they leave, the knowledge walks out the door. The real bottleneck is understanding. The bottleneck is not AI capability. It is the gap between raw data and business understanding. AI needs context to deliver trustworthy answers. Infrastructure was not built for AI. Most data infrastructure was designed for human analysts, not AI agents. Connecting AI to existing systems without semantic context produces unreliable results. ### Three Stages to AI-Ready Data Plexara is both a product and a progressive process. Start where you are, and build toward full AI integration. **Stage 01: Data Platform Foundation.** Plexara begins with implementing a data platform tailored to your data and your business. This is not off-the-shelf. It is an architecture designed around your specific data landscape, built on proven open-source technologies that Deasil Works has deployed and managed for over 25 years. Components may include federated SQL query engines, distributed object storage, data pipelines, and the infrastructure to connect your existing databases into a unified, queryable estate. **Stage 02: Semantic Layer & Knowledge Capture.** We configure a semantic and metadata layer that captures and organizes the business details that often exist only as tribal knowledge: the meaning behind column names, the business rules no one documented, the context that makes data useful. People leave. Context is lost. Institutional memory fades. Plexara turns that tribal knowledge into a durable asset, and that asset becomes context AI uses to give better, more accurate, more trustworthy answers. **Stage 03: AI Integration: The Weave.** Plexara connects your data platform and semantic layer to AI agents through the Model Context Protocol (MCP), the emerging standard for AI-to-data integration. When AI queries your data, it does not just get rows and columns. It gets business context automatically: ownership, quality scores, deprecation warnings, PII tags, glossary definitions, lineage tracking. AI becomes a domain expert on your business. ### What Plexara Is Not - Not a chatbot. Plexara is infrastructure, not a conversational interface. - Not a copilot. It does not compete with Claude, GPT, or any AI model. It makes them all better. - Not a generic MCP connector. It does not blindly execute queries against your data. It ensures AI understands the meaning behind your data. - Not an AI product. AI models evolve rapidly and AI-specific products become outdated immediately. Plexara is integration infrastructure that supercharges the best AI agents of today and tomorrow. - Not proprietary lock-in. Built on open standards being adopted by all major AI providers. ### Protocols Outlast Products The most durable technology investments are protocol-level, not product-level. HTTP outlasted Netscape. SQL outlasted every database vendor of the 1990s. TCP/IP outlasted everything. The Model Context Protocol was created by Anthropic in November 2024, donated to the Linux Foundation in December 2025, and co-founded by Anthropic, Block, and OpenAI. Supporting members include Google, Microsoft, AWS, Cloudflare, and Bloomberg. The ecosystem has grown to 97M+ monthly SDK downloads, 10,000+ active MCP servers, and 300+ MCP clients. Plexara bets on the protocol layer, not the model layer. Integration infrastructure is more durable than any specific AI product. While Plexara currently provides the richest experience with Anthropic's Claude, it is built on standards being adopted by all major AI providers. ### Platform Capabilities Summary - **Cross-System Semantic Enrichment.** Query any data source and automatically receive business context from your metadata catalog. Ownership, quality scores, PII warnings, deprecation notices, and glossary definitions enriched into every response. - **Knowledge Capture & Synthesis.** Domain knowledge shared during AI conversations is captured, reviewed through a governance workflow, and applied back to your metadata catalog. Tribal knowledge stops being a liability. - **Lineage-Aware Intelligence.** Downstream datasets automatically inherit documentation from their upstream sources. AI understands not just what data exists, but where it came from and how it was transformed. - **Enterprise Security.** Fail-closed by default. Comprehensive audit logging captures every interaction. OIDC, API key, and OAuth 2.1 authentication supported. - **Persona System.** Define who can access which capabilities. Analysts get analytics tools. Executives get high-level exploration. Machine-to-machine workflows get governed API access. - **Federated Data Access.** Query across PostgreSQL, MySQL, Elasticsearch, Cassandra, BigQuery, MongoDB, and more through a unified SQL interface. Your AI does not need to know where data lives. - **Composable Architecture.** Built from modular components that can be deployed individually or composed into a unified platform. Start with what you have. Add capabilities as your needs evolve. ### Proven in Production Plexara is not theoretical. It is running in production today. **Retail Analytics.** A multi-tenant retail analytics platform integrating point-of-sale data, inventory management, and revenue reporting across multiple data systems. Five persona types with cross-system query orchestration and live knowledge capture and governance. **Media & Broadcasting.** A media analytics platform spanning six data domains with 141+ cataloged entities, covering video streaming, broadcast ratings, digital analytics, email marketing, audience data, and operational metadata. Non-technical leaders asking natural language questions with contextually rich answers without SQL and no data team intermediation required. ### Plexara + Deasil Works Plexara is a product of Deasil Works, Inc., a technology services company with over 25 years of software development, systems integration, and infrastructure management experience. Deasil Works builds custom data platforms and data warehouse solutions for organizations across media, retail, entertainment, manufacturing, and finance. The Plexara go-to-market pairs the product with Deasil Works professional services. You get both the platform and the expertise to deploy it in your environment. This is not a SaaS tool you configure yourself. It is an engineered solution backed by a team that has been building enterprise data infrastructure for decades. ## Approach ### Standards Over Products Plexara is built on the thesis that the most durable technology investments are protocol-level, not product-level. We build integration infrastructure that outlasts any specific AI model or vendor. ### The AI Readiness Problem The data infrastructure market is consolidating rapidly. IBM acquired Confluent for $11B, Fivetran and dbt Labs merged, Databricks acquired Neon for $1B. Everyone is racing to add AI capabilities, but they are bolting on support as an afterthought. Plexara is different. It is built natively for AI integration from the ground up. Not as an add-on feature. Not as a marketing checkbox. As the core architectural purpose. ### The Composable Platform Plexara assembles modular components into a unified integration layer. Each component can be deployed individually or composed into a complete platform. Start with what you have and what you need. No rip and replace. No big-bang migration. - **Data Querying.** Federated SQL across your entire data estate. - **Metadata Governance.** Ownership, quality scores, and lineage tracking. - **Object Storage.** Distributed storage for any data format. - **Knowledge Capture.** Tribal knowledge as structured intelligence. ### Progressive Implementation **01 Data Foundation.** Build a data platform foundation tailored to your infrastructure: federated query engines, object storage, data pipelines, all connecting your existing databases into a unified estate. **02 Semantic Layer.** Add a semantic layer that captures the business context living in your team's heads: column meanings, business rules, data quality observations, ownership records. This becomes your AI's training manual. **03 AI Integration.** Weave everything together through the Model Context Protocol, connecting your enriched data estate to any AI agent. The result: AI that understands your business as deeply as your best people do. ### Knowledge as a First-Class Citizen Most platforms treat metadata as documentation, something you fill in if you have time. Plexara treats knowledge as a first-class citizen in the data architecture. Domain knowledge shared during AI sessions (corrections to metadata, business context about data meaning, quality observations, usage tips) is captured through a governance workflow. It is reviewed, synthesized, and written back to the metadata catalog. Your organization gets smarter over time. Every conversation makes the next one better. The Knowledge Cycle: AI Session, Knowledge Capture, Review & Governance, Catalog Integration. The cycle repeats continuously. Tribal knowledge becomes structured institutional intelligence. ## Capabilities Each capability delivers business value through technical substance. No vaporware. No marketing abstractions. ### 1. AI Transparency Through MCP MCP is a standard interface between AI models and your data tools. Every tool call is observable, typed, and logged. You bring your own AI model. Plexara governs the data layer, not the intelligence layer. Every tool call is logged before execution with a typed schema describing inputs and outputs. Results come from live data systems and are returned with full provenance. Nothing is hidden, summarized, or transformed outside the audit trail. When any AI fabricates a number, the damage depends on whether you can trace it. Black-box systems make fabrication hard to spot and impossible to diagnose. MCP provides provenance on every interaction. ### 2. Contextual Enrichment Query any data source and receive business context alongside your results. Every response includes ownership, quality scores, PII warnings, deprecation notices, and glossary definitions. When a query executes, Plexara intercepts the result set and cross-references each entity against the metadata catalog. Relevant context is embedded in the response before it reaches the AI agent. No additional queries required. 50-200ms enrichment latency with 5-minute cache TTL. AI stops treating data as anonymous rows and columns. It knows whether a field is deprecated, who owns the data, what the quality score is, and what the business definition means. Automatically, on every query. ### 3. Knowledge Capture, Synthesis & Application Domain knowledge shared during AI conversations (column meanings, business rules, data quality observations) is captured, reviewed, and written back to your metadata catalog. Insights are detected during sessions, then routed through a governance workflow for review. Approved insights become catalog updates applied to the appropriate entities. The process is: capture, review, synthesize, apply. Each AI conversation improves the metadata catalog, which improves the next conversation. Tribal knowledge stops walking out the door. ### 4. Lineage-Aware Metadata Inheritance Downstream datasets automatically inherit documentation, quality indicators, and business context from their upstream sources. Plexara tracks data lineage at both the dataset and column level. When upstream entities are documented or updated, those annotations propagate downstream through the lineage graph. Column-level lineage tracks transformations through renames, aggregations, and joins. PII tags, sensitivity classifications, and deprecation notices propagate automatically. Document a source table once. Every derived dataset picks up the context automatically. ### 5. Persona-Based Access Control Define who can access which capabilities based on roles mapped from your identity provider. Personas map identity provider roles to platform capabilities. Analysts get analytics tools. Executives get high-level exploration. ETL services get pipeline access. Machine-to-machine workflows get governed API endpoints. All controlled through your existing identity infrastructure (Keycloak, Okta, Azure AD). Each persona defines which MCP tools are available via allow/deny wildcard patterns. System prompts and tool hints tell the AI how to behave per persona. Security is the default operating mode, not an afterthought. ### 6. Enterprise Security Fail-closed authentication with OIDC, API keys, and a built-in OAuth 2.1 server. Every request is verified against your identity provider before any tool executes. OIDC tokens are validated against your identity provider with JWKS auto-discovery. API keys authenticate service accounts. The built-in OAuth 2.1 server bridges MCP clients like Claude Desktop to your upstream IdP with PKCE, rotating refresh tokens, and bcrypt-hashed secrets. AI touching production data without enterprise authentication is a breach waiting to happen. Plexara is fail-closed: no anonymous mode, no bypass, no permissive fallback. ### 7. Audit & Administration Every tool call, query, and error is captured in a structured audit system with an interactive administration portal for real-time metrics, searchable events, and drill-down detail. Audit middleware captures every authorized tool call asynchronously with indexed fields for user, tool, timestamp, and status. The admin portal surfaces this as real-time dashboards, searchable event logs with detail drawers, and a tool explorer with dynamic parameter forms. P50/P95/P99 latency, success rates, top tools, top users, and full parameter detail on every interaction. Sensitive parameters (passwords, tokens, API keys) are redacted before storage. ### 8. Federated SQL Queries Query across PostgreSQL, MySQL, Elasticsearch, Cassandra, BigQuery, MongoDB, Hive, and other sources through a single SQL interface. 30+ connectors including relational, columnar, document, search, and object storage systems. A federated query engine routes SQL across data sources. AI agents write standard SQL without knowing where data physically lives. The federation layer handles routing, optimization, and result assembly. Cross-catalog JOINs executed server-side. Your data estate becomes a single queryable surface. No more teaching AI about connection strings, database-specific dialects, or multi-system join logic. ### 9. Object Storage Integration AI agents discover, read, and write files across any S3-compatible backend (AWS S3, MinIO, SeaweedFS, Ceph) with full metadata enrichment on every operation. Nine MCP tools cover the full object lifecycle: list, read, write, copy, delete, and presign. Every read operation is enriched with ownership, quality scores, and PII classification from the metadata catalog. Write access requires explicit opt-in per connection. Unstructured data stops being a black box. The AI finds files by searching for business concepts, reads them with full context, and stores results back, all under the same governance as every other capability. ### 10. Metadata Discovery & Governance Search, browse, and govern your data estate through a centralized metadata catalog. The metadata catalog indexes all connected data sources: schemas, relationships, lineage, and business context. AI agents discover datasets by searching for business concepts rather than technical table names. Results ranked by relevance, quality score, and freshness. AI finds data by meaning, not by memorizing schema names. Ask about revenue and it finds the right tables across systems, with context about freshness, quality, and ownership. As new datasets are registered, they become immediately discoverable. ## Use Cases ### Who Plexara Serves Different audiences, one platform. Plexara meets your organization wherever it is in the data and AI maturity journey. **For Business Leaders.** Ask natural language questions about business performance. Get answers with full context: data quality, freshness, ownership. No SQL required, no data team intermediation. Explore data across departments without technical barriers. **For Data Teams.** Accelerate data governance by capturing knowledge during daily work. Automate metadata propagation through lineage inheritance. Enforce access controls without custom code. Audit every AI interaction with your data. **For AI Integration.** Give AI agents governed access to enterprise data. Ensure AI understands business context, not just raw values. Future-proof with standards-based integration. Support multiple AI providers through one integration layer. ### Industry Applications **Retail / POS Analytics (In production).** Multi-tenant platform integrating point-of-sale data, inventory management, and revenue reporting. Five persona types with cross-system query orchestration. **Media & Broadcasting (In production).** Platform spanning six data domains with 141+ cataloged entities. Non-technical executives asking natural language questions about content performance and audience engagement. **Financial Services (Planned).** Compliance-grade data integration with full audit trails, persona-based access control, and semantic enrichment for regulatory reporting workflows. **Manufacturing (Planned).** Unified data access across operational technology systems, supply chain data, and business intelligence platforms with AI-driven anomaly detection context. ## Services ### Platform + Expertise Plexara is not a SaaS tool you configure yourself. It is an engineered solution backed by Deasil Works, a team that has been building enterprise data infrastructure for decades. ### Custom Data Platforms Deasil Works designs and builds custom data platforms and data warehouse solutions. Over 25 years of experience in software development, systems integration, and infrastructure management. Every platform is architected for your specific data landscape and business requirements. ### Plexara Implementation End-to-end deployment of the Plexara platform, from initial assessment through production operation. This includes data platform design, semantic layer configuration, knowledge capture setup, AI integration, and ongoing support. You get a working platform, not a pile of documentation. - Step 01: Assessment. Data landscape review and platform design. - Step 02: Build. Semantic layer, knowledge capture, AI integration. - Step 03: Operate. Production deployment and ongoing support. ### Managed Services Ongoing platform management, monitoring, and optimization. Deasil Works can operate your Plexara deployment so your team focuses on using the data, not managing the infrastructure. Includes performance tuning, security updates, and capacity planning. ### Industries Served Media & Broadcasting, Retail & E-commerce, Entertainment, Manufacturing, Finance. Deasil Works builds data infrastructure for organizations that treat data as a strategic asset. From media companies managing audience analytics to retailers unifying point-of-sale systems across locations. ## Privacy Policy Effective: February 18, 2026 ### Introduction Deasil Works, Inc. ("Deasil Works," "we," "us," or "our") operates the Plexara platform and the plexara.io website (collectively, the "Service"). This Privacy Policy describes how we collect, use, and protect information when you use our Service. We are committed to protecting your privacy. We do not sell, rent, or trade your personal information to third parties. We do not use your data for advertising purposes. ### Information We Collect We collect information you provide directly when you contact us, request a demo, or engage our services. This may include your name, email address, company name, and job title. When you use the Plexara platform, we process data on your behalf as a data processor. This customer data is stored exclusively for your use and remains under your control at all times. We collect standard server logs and may use analytics tools (such as Google Analytics) to understand website traffic patterns. These tools use cookies to collect anonymous, aggregate information about how visitors interact with our website. ### How We Use Your Information We use contact information to respond to your inquiries, provide requested services, and send relevant communications about the Plexara platform. Customer data processed through the Plexara platform is used solely to provide the services you have contracted for. We do not access, analyze, or use your data for any purpose other than delivering the Service to you. We may access customer data when you explicitly request diagnostic assistance or technical support. Such access is limited to the scope of the support request and is logged for audit purposes. ### Data Storage and Security Customer data is stored in our U.S.-based data centers located in Dallas/Fort Worth, Las Vegas, Los Angeles, Pasadena, Phoenix, and Washington, D.C. All data is encrypted in transit using TLS 1.2 or higher and at rest using AES-256 encryption. We implement industry-standard security measures including access controls, audit logging, intrusion detection, and regular security assessments. Access to customer data is restricted to authorized personnel on a need-to-know basis. We retain customer data for the duration of your service agreement. Upon termination, customer data is deleted within 30 days unless a longer retention period is required by law or requested in writing. ### Cookies and Tracking Technologies Our website uses strictly necessary cookies required for the website to function, such as remembering your display preferences. These cookies do not collect personal information. With your consent, we may use analytics cookies (Google Analytics) to collect anonymous usage data such as pages visited, time on site, and referral sources. This data is aggregated and cannot be used to identify individual users. You can manage your cookie preferences at any time through your browser settings or the cookie preferences panel on our website. Declining optional cookies does not affect your ability to use the Service. ### Third-Party Services We do not sell or share your personal information with third parties for their marketing purposes. We may share information with service providers who assist in operating our business (e.g., hosting, email delivery), subject to confidentiality agreements. The Plexara platform may connect to third-party data sources at your direction. We do not control and are not responsible for the privacy practices of these third-party services. ### Your Rights You have the right to access, correct, or delete your personal information. You may request a copy of the personal data we hold about you by contacting us at support@plexara.io. If you are located in the European Economic Area (EEA), United Kingdom, or California, you may have additional rights under GDPR, UK GDPR, or CCPA respectively, including the right to data portability, the right to restrict processing, and the right to object to processing. To exercise any of these rights, contact us at support@plexara.io. We will respond to your request within 30 days. ### Children's Privacy The Service is not directed to individuals under the age of 16. We do not knowingly collect personal information from children. If we become aware that we have collected personal information from a child, we will take steps to delete that information. ### Changes to This Policy We may update this Privacy Policy from time to time. We will notify you of material changes by posting the updated policy on this page and updating the effective date. Your continued use of the Service after such changes constitutes acceptance of the updated policy. ### Contact Us If you have questions about this Privacy Policy or our data practices, contact us at: support@plexara.io or by mail at Deasil Works, Inc., 121 W. Lexington Drive, Glendale, CA 91203. ## Terms of Service Effective: February 18, 2026 ### Acceptance of Terms By accessing or using the Plexara platform and the plexara.io website (collectively, the "Service"), you agree to be bound by these Terms of Service ("Terms"). The Service is operated by Deasil Works, Inc. ("Deasil Works," "we," "us," or "our"). If you do not agree to these Terms, you must not use the Service. These Terms apply to all visitors, users, and customers of the Service. Additional terms may apply to specific features or services, which will be presented to you at the time of use. ### Description of Service Plexara is a standards-based data integration platform that provides governed, semantically rich data access for AI agents and enterprise applications. The Service includes data federation, metadata management, contextual enrichment, audit logging, and related capabilities. We reserve the right to modify, suspend, or discontinue any part of the Service at any time with reasonable notice. We will not be liable for any modification, suspension, or discontinuation of the Service. ### Customer Data You retain all rights, title, and interest in your data ("Customer Data"). We do not claim ownership of Customer Data and will not use it for any purpose other than providing the Service to you. We process Customer Data solely on your behalf as a data processor. We do not sell, rent, share, or otherwise disclose Customer Data to third parties except as necessary to provide the Service or as required by law. We store Customer Data in our U.S.-based data centers for your exclusive use. We may access Customer Data only when you explicitly request diagnostic or technical support assistance, and such access is limited to the scope of the request. Upon termination of your account, we will delete your Customer Data within 30 days unless retention is required by applicable law or requested by you in writing. ### Account Responsibilities You are responsible for maintaining the security of your account credentials and for all activities that occur under your account. You must notify us immediately of any unauthorized use of your account. You agree to provide accurate, current, and complete information when creating an account and to update such information as necessary to keep it accurate. ### Acceptable Use You agree not to use the Service to: (a) violate any applicable law or regulation; (b) infringe the intellectual property rights of others; (c) transmit malware, viruses, or other harmful code; (d) attempt to gain unauthorized access to the Service or related systems; (e) interfere with or disrupt the integrity or performance of the Service; or (f) engage in any activity that is harmful, fraudulent, or deceptive. We reserve the right to suspend or terminate your access to the Service if we reasonably believe you have violated these Terms. ### Intellectual Property The Service, including all software, documentation, trademarks, and content (excluding Customer Data), is the property of Deasil Works, Inc. and is protected by copyright, trademark, and other intellectual property laws. Subject to these Terms, we grant you a limited, non-exclusive, non-transferable license to access and use the Service for your internal business purposes during the term of your agreement. ### Service Level and Support Service levels, support terms, and maintenance schedules are defined in your service agreement. We will use commercially reasonable efforts to maintain the availability and performance of the Service. We may perform scheduled maintenance that temporarily affects Service availability. We will provide reasonable advance notice of planned maintenance when possible. ### Limitation of Liability TO THE MAXIMUM EXTENT PERMITTED BY LAW, DEASIL WORKS SHALL NOT BE LIABLE FOR ANY INDIRECT, INCIDENTAL, SPECIAL, CONSEQUENTIAL, OR PUNITIVE DAMAGES, INCLUDING BUT NOT LIMITED TO LOSS OF PROFITS, DATA, OR BUSINESS OPPORTUNITIES, ARISING OUT OF OR RELATED TO YOUR USE OF THE SERVICE. OUR TOTAL LIABILITY FOR ALL CLAIMS ARISING OUT OF OR RELATED TO THESE TERMS SHALL NOT EXCEED THE AMOUNTS PAID BY YOU TO DEASIL WORKS DURING THE TWELVE (12) MONTHS PRECEDING THE CLAIM. ### Indemnification You agree to indemnify, defend, and hold harmless Deasil Works, its officers, directors, employees, and agents from and against any claims, liabilities, damages, losses, and expenses arising out of or related to: (a) your use of the Service; (b) your violation of these Terms; or (c) your violation of any third-party rights. ### Governing Law These Terms are governed by and construed in accordance with the laws of the State of California, without regard to its conflict of law provisions. Any disputes arising from these Terms shall be resolved in the state or federal courts located in Los Angeles County, California. ### Changes to These Terms We may revise these Terms from time to time. We will notify you of material changes by posting the updated Terms on this page and updating the effective date. Your continued use of the Service after such changes constitutes acceptance of the revised Terms. ### Contact Us If you have questions about these Terms, contact us at: support@plexara.io or by mail at Deasil Works, Inc., 121 W. Lexington Drive, Glendale, CA 91203.