Platform

One platform that does the work of five.

Connect, map, govern, and query every data source in your enterprise estate. Ingestion, ETL, relationship discovery, governed warehouse, and AI querying in one environment. No migration. No new infrastructure.

★ The Platform

Five capabilities. One environment.

Each pillar does a specific job. Together they replace the data stack you currently run across five vendors.

Enterprise Context Graph

One governed map of how every entity in your data estate connects, across databases, documents, and files.

Cross-source relationships Relationship discovery Lineage
Read more

Data Ontology Engine

One agreed definition for every entity, so every system and every agent speaks the same language.

Business glossary Synonyms Versioned definitions
Read more

Verified Query Execution

Every answer is grounded in an executed query, with source attribution, row counts, and a confidence signal. Any result can be escalated to an SME, reviewed, and corrected in a closed loop.

Source attribution Row counts SME review Correction loop

Workspaces & Tools

Curated workspaces with the tools each team needs, provisioned and access-controlled per workspace.

SQL Editor Notebook LLM Chat App Builder

Governance & Deployment

Your data stays in your infrastructure, with PII detection on ingestion and review workflows built for regulated environments.

Deploy in your own cloud PII detection Reviewer role
01The Platform

One platform that does the work of five.

Connect, map, govern, and query every data source in your enterprise estate. Ingestion, transformation, warehousing, governance, and AI querying in a single environment.

Today 5 tools · 5 vendors · 5 invoices · 5 places your data breaks
  • Ingestion Layer Ingestion
    $2.4k / mo owns: Data Eng
  • ETL & Transform Transformation
    $1.8k / mo owns: Analytics Eng
  • Data Warehouse Warehouse
    $6.0k / mo owns: Platform
  • Data Governance Governance
    $1.2k / mo owns: Data Gov
  • BI & Analytics BI / Querying
    $2.6k / mo owns: BI Team
With qwry One platform · one contract · one source of truth
qwry The data intelligence platform
  • 01Ingestion✓
  • 02Transformation✓
  • 03Warehouse✓
  • 04Governance✓
  • 05AI Querying✓
$3.2k/ mo 1contract 1team
5 1
Vendors collapsed into one platform
$ 170k / yr
Average software spend recovered
weeks minutes
Time from raw source to answer
40+
Integrations live, more shipping monthly

Discover

Automated relationship discovery

QWRY samples data across sources, scores relationships, and detects cardinality. MySQL to MongoDB, PostgreSQL to Excel. Confidence-scored. Continuously updated.

Unify

Lake, ETL, and warehouse in one pipeline

Raw data lands in your data lake. Automated ETL transforms it. The warehouse loads with proper schema, indexes, and metadata tracking. End to end, in one platform.

Govern

Workspace permissions, table-level access, SME review loop

Role-based access control extends to both human queries and AI responses. Every answer cites its source and can be escalated to a domain expert. If the SME flags an error, a correction loop updates the answer and logs the change. Compliance-ready audit chain by default.

Query

Plain English or SQL, answers grounded in execution

Ask a question. QWRY generates SQL, runs it against your warehouse, verifies the result, and returns an answer with full source attribution. Any answer can be escalated to a domain expert, reviewed against the underlying data, and corrected — closing the loop rather than just flagging it.

03The Pipeline

From source to answer, in one platform.

Step 01

Connect Your Sources

Point QWRY at your existing databases and files. No migration. No schema changes. Heterogeneous sources welcome.

Relational DatabasesNoSQL & Document StoresFiles & SpreadsheetsAPIs & Data FeedsERP & CRM
Using something specific? Tell us what you run
Step 02

Extract to Your Data Lake

Raw data lands in your S3 bucket or ours. Timestamped snapshots. Full audit history. Original format preserved.

Step 03

ETL and Warehouse

Automated pipeline cleans, transforms, and loads into a unified PostgreSQL warehouse. In your infrastructure if you choose.

Step 04

AI Discovers Relationships

The engine maps every connection across every source. Confidence-scored. Cardinality-typed. Continuously updated on resync.

Step 05

Query in Plain English

Ask anything. QWRY generates SQL, runs it, verifies the result, and returns an answer your business can act on.

Step 06

Work and Share

Chat, SQL editor, and shared workspace today. Notebooks and dashboards in the next release cycle. All in one environment.

04Verified Answers

Every answer is a query you can audit.

Not a sentence we hope is true. QWRY shows you the SQL, the source tables, the row counts, and the execution trail behind every AI response. AI-native does not mean AI-opaque.

Workspace · operations
verified · 247ms
Priya, Ops lead
Priya · Ops lead

Which suppliers shipped late in Q3 across all our warehouses?

qwry · verified answer

Across Q3 2025, 23 suppliers had at least one late shipment across the four warehouses. The top three by volume of late shipments were Supplier A (47), Supplier B (31), and Supplier C (28).

Execution trail VERIFIED
source tables shipments (12,847), suppliers (342), warehouses (4)
relationship shipments.supplier_id → suppliers.id conf 98%
execution time 247ms
query id q_a7f3e9b2
generated at 14:32 GMT, 2025-09-30
Reproducible. Auditable. Cited.

Source attribution

Every answer shows the warehouse tables it queried and the relationships it relied on. If the underlying data changes, the answer changes. No black box.

Execution proof

The SQL behind every answer is preserved, timestamped, and replayable. Your compliance team gets a full chain of custody. Your analysts get reproducible logic.

Access enforcement

Table-level permissions apply to AI responses, not just human queries. If a user cannot see a table, the AI cannot return data from it. Governance is structural, not advisory.

Human-in-the-loop review

Any answer can be escalated to a domain expert with one click. The SME reviews the result against the underlying data and execution trail. If incorrect, a correction is logged, the answer is updated, and the correction feeds back into the system — so the same mistake does not recur.

05Interfaces

Every interface your team needs.

Natural language chat and a full SQL editor ship today. Notebook environment and dashboard builder in the next release cycle. One platform, every workflow, no external BI licence.

Shipping today

Live
Natural Language Chat

Ask any business question in plain English. QWRY generates SQL, runs it against your warehouse, verifies the answer, and returns a result your team can act on. Every response cites its query, source tables, and confidence.

LLM Chat Verified SQL Auto-Explain
SQL Editor

Direct warehouse access for analysts who prefer code. Schema-aware autocomplete, query history, AI-assisted explanation and optimisation. Cross-table joins suggested automatically.

Schema-Aware Query History Read-Only Safety

Next release

In Development
Notebook Environment

Native Jupyter-compatible notebooks with direct warehouse access, preloaded schema context, and Python and SQL interop. No environment setup. No kernel management.

In active development
Dashboard and App Builder

Drag-and-drop dashboards and lightweight data apps for business users. No separate BI licence needed. Embeddable, shareable, scheduled.

In active development

No tool-switching tax

The average enterprise data team switches between four to six tools in a single analysis workflow. Context switches cost hours. Errors compound across tool boundaries. QWRY collapses the entire workflow into a single environment.

Every answer is auditable — and reviewable

In regulated environments, "the AI said so" is not an acceptable audit trail. Every answer QWRY returns includes the underlying SQL, the warehouse tables it ran against, and a timestamp. Any answer can be escalated to a domain expert for review. If the SME identifies an error, the correction is logged and the answer updated — closing the loop rather than just flagging it.

06Outcomes

What changes when your data behaves like one system.

Three things become possible immediately. Each replaces a workflow that costs you weeks today.

Cross-source questions without an integration project

Today

Six weeks of data engineering to join MySQL customers, MongoDB orders, and Excel cost sheets into a single answerable view.

With qwry

A single sentence in plain English. The platform has already discovered the relationships and built the warehouse.

Self-serve for non-technical users, governed at the table level

Today

The data team becomes the bottleneck for every business question. Self-serve attempts produce inconsistent metrics across teams.

With qwry

Governed access by default. Table-level permissions enforced for both human queries and AI responses. Business users ask. The platform respects the boundaries.

Every AI answer auditable back to its source

Today

AI tools return confident sentences with no underlying logic. Compliance teams cannot reconstruct how a number was produced.

With qwry

Every answer cites its SQL, its source tables, its row count, and its execution timestamp. Complete chain of custody, by default.

07Sovereignty

Built for the infrastructure you actually have.

Data residency requirements, sovereign deployment mandates, on-premise constraints, regulated sector controls. The architecture is not an afterthought. Bring your own cloud, your own infrastructure, your own AI model. QWRY processes. You own.

BYOC

Bring Your Own Cloud

All raw data lands in your AWS S3 bucket. Your account, your encryption keys, your audit logs. QWRY orchestrates without touching the data layer.

BYOI

Bring Your Own Infrastructure

Run the warehouse on your PostgreSQL server. On-premise or private cloud. QWRY never holds your transformed data. Your team has direct SQL access throughout.

BYOM

Bring Your Own Model

Plug in your preferred LLM. GPT-4o, Claude, or your own fine-tuned model on your own inference infrastructure. No dependency on a single AI provider.

Architecture  ·  qwry processes. You own everything.
Interfaces
& Agents
What consumes data
Custom Apps
Your Software Mobile API
AI Agents
OpenAI Claude Your LLM
Analyst Tools
Dashboards Analytics Excel
qwry Workspace
Chat SQL Notebooks
qwry
Engine
Open & portable context
Enterprise Context Layer
Verified queries · Cross-source relationships · Auditable answers
Relationship Graph
Governance Layer
Verified Query Engine
Active Schema
Your
Source Systems
No migration required
Databases 9
MySQL PostgreSQL MongoDB MS SQL SQLite Redis MariaDB Oracle Cloud Warehouse
Files 7
Excel PDF CSV JSON XML TXT MD
Source Code 2
Git Zip Archive
CRM & ERP 7+ soon
Salesforce HubSpot SAP Zoho Freshworks Dynamics Tally
An ecosystem that compounds. Eight new connector types in active development: analytics platforms, marketing tools, observability stacks, and more.
Request a connector
Data never leaves your perimeter. qwry orchestrates; you retain control.

Ready to replace your stack?
Start using data.

Talk directly to the engineers who built the platform. We handle the full implementation: source connection, relationship mapping, workspace configuration, and go-live.

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