Connect AI to your data. Build knowledge that lasts.
Enterprise Data Integration on MCP for the AI Era
Your AI should know your business as well as your best people do.
Architecture
One Protocol, Every Data Source
Plexara connects any AI assistant to your entire data estate through the Model Context Protocol, from warehouses to lakes, metadata to object storage.
AI Assistants
Plexara Enrichment
MCP Connections
Enterprise Data Sources
Portal
Asset Management & Collaboration
Every insight your AI generates becomes a managed, shareable, versioned asset.
Every Dashboard, Report, and Chart in One Place
AI-generated dashboards, reports, and visualizations are automatically saved as versioned assets. Browse by type, search by tag, and preview content directly in the portal.
Observability
Monitoring & Administration
Plexara is not a black box. See exactly what your AI is doing, what it knows, and why.
See Everything, Miss Nothing
Monitor every connection, service, and data flow from a single dashboard. Know exactly which integrations are active, what state they are in, and how your platform is performing right now.
Intelligence
Knowledge & Memory
Your AI gets smarter with every interaction. Plexara captures, governs, and applies domain knowledge automatically.
See Exactly What Your AI Learns
Domain knowledge shared during sessions is automatically captured and categorized. Corrections, business context, data quality notes, and usage guidance are all recorded for admin review.
Governance
Personas, Tools & Access Control
Define who can access what, how your AI behaves for each role, and what resources are available.
Tailor AI Behavior Per Role
Define personas with custom tool access rules, description prefixes, and agent instruction overrides. A regional director sees executive summaries while a data engineer gets raw SQL and lineage details.
The Challenge
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.
The Process
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.
Data Platform Foundation
Don't have a modern data platform? We'll build one.
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.
Semantic Layer & Knowledge Capture
Don't have a semantic data layer? We'll create one. It becomes your AI's training manual.
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.
AI Integration: The Weave
Plexara means interwoven. We take these components and weave them together into the ultimate tool for AI.
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.
Differentiation
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.
Standards
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
MCP: The Next Durable Standard
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.
97M+
monthly SDK downloads
10,000+
active MCP servers
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.
Capabilities
Built for Enterprise Data Integration
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.
Production
Proven in Production Across Industries
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
- Cross-system query orchestration
- 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
- Contextually rich answers without SQL
- No data team intermediation required
Partnership
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.
From the Blog
Latest Insights
The context gap in AI data access
AI agents can execute SQL, but without business context they generate inaccurate queries and untrustworthy results. Not a better model. Better context.
Protocols outlast products
MCP, Trino, and DataHub are open protocols with communities larger than any vendor. Building on protocols, not proprietary platforms, is the durable choice.
How knowledge application turns usage into documentation
Most data catalogs are empty because documentation is a separate task. Plexara inverts this: documentation happens as a byproduct of people using data.
Common questions
Plexara FAQ
The Model Context Protocol is an open standard from Anthropic for connecting AI agents to tools and data. Plexara packages your enterprise data behind a single MCP server with semantic context, persistent memory, and governance, so any MCP-capable client (Claude, ChatGPT, custom agents) can answer questions about your business without bespoke integrations per agent.
Snowflake stores and queries data for human analysts. Plexara sits in front of your existing data infrastructure (Snowflake included) and exposes it to AI agents through MCP, with the semantic catalog, governance, and memory those agents need. Plexara does not replace your warehouse. It makes the warehouse usable by AI without bolting on more vendors.
Plexara ships a governed semantic catalog built on DataHub as a first-class component. If you already run DataHub, Plexara reads from your existing instance. If you do not, the platform deploys one. Other catalogs that expose an MCP server can integrate today through Plexara's MCP gateway, and native support for additional metadata providers is on the roadmap. Every conversation captures new business context as catalog metadata, so the catalog improves with use.
Plexara is a managed, fully-engineered solution priced per deployment based on data sources, expected agent volume, and the support tier you need. No per-seat pricing, no marketplace tier. Contact us with a description of your data landscape and use cases for a concrete quote.
Governance is enforced when an agent calls a tool, not described in a policy document. Personas restrict which tools an agent can see and use. Default-deny applies to anything not explicitly allowed. Every tool call is logged in a single audit stream tied back to a human user. Connections are managed centrally, with key rotation and revocation as one-click operations.
Next
Product Overview
See how Plexara unifies query execution, semantic metadata, and governance into a single MCP server.