Product Architecture

How Vizkraft Works

The Cognitive Void: A unified intelligence layer that bridges your raw data systems to human-readable insights through Model Context Protocol (MCP).

The Data Flow Ecosystem

LIVE_STREAM_ACTIVE

Data Sources

Postgres, Snowflake, S3, APIs

MCP Connectors

Unified Model Context Protocol abstraction

Vizkraft AI

Context-aware reasoning engine

Output

Interactive Dashboards & Real-time Charts

Deep Reasoning

The Neural Query Engine

Unlike traditional SQL-based tools, Vizkraft doesn't just run queries. It understands your business logic. Our engine maps your technical schema to semantic business concepts, allowing for queries that understand "Customer Churn" instead of just "Table.DeletedAt".

Schema Awareness

Auto-indexing of table relationships and metadata tags.

Context Understanding

Maintains state across complex multi-step analysis sessions.

vizkraft_query_log.sql

01 SELECT date_trunc('month', o.created_at),

02 count(DISTINCT o.user_id) AS active_users,

03 sum(o.total_amount) / count(DISTINCT o.user_id) AS arpu

04 FROM orders o

05 JOIN users u ON o.user_id = u.id

06 -- [AI Context] Calculating LTV trends for Q3...

Execution optimized via MCP Layer (34ms)

The Multi-Agent Protocol

The Neural Query Engine is orchestrated by three distinct autonomous agents working in a synchronized protocol to deliver high-fidelity data intelligence.

The Semantic Agent

First responder in the stack. Responsible for translating natural language into technical intent.

CONTEXT_PARSER_ACTIVE

Map: "churn" → table.users.status('cancelled') Awareness: Q3 Fiscal calendar active

The Logic Agent

The technical architect. Validates SQL syntax and ensures absolute query integrity.

SQL_VALIDATOR_INIT

Validate: JOIN_PERMISSIONS = OK Optimize: INDEX_SCAN(orders.created_at)

The Synthesis Agent

Final validation layer. Cross-references results with historical patterns.

PATTERN_CHECK_SUCCESS

Anomaly: -2% vs Mean (Within Range) Verdict: Insights ready for delivery

MCP Connector Architecture

Unified Querying Interface

MCP allows Vizkraft to treat your entire stack—from legacy databases to modern SaaS APIs—as a single, searchable knowledge base.

ElasticsearchDynamoDBSalesforceBigQuery

Zero Latency

Direct protocol-to-protocol communication with no intermediate ETL.

Privacy First

Data remains in your source; Vizkraft only stores semantic metadata.

Stop waiting on engineering for reports.

Most of our customers were ops or CS leads who'd been blocked for weeks. They booked a demo, connected their database in 10 minutes, and never looked back.