Your teams are making decisions without the full picture. The data exists but it is sitting in disconnected systems with no one to join the dots. QWRY.ai does that automatically, across every source you already have.
QWRY's AI engine samples, compares, and scores relationships across heterogeneous sources — MySQL to MongoDB, PostgreSQL to Excel, structured to unstructured. Confidence-scored. Automatically updated. No other platform does this.
Every AI-generated answer is verified by running the actual SQL query against your warehouse. Not a confidence score. Not an estimate. A verifiable result. Because your warehouse is structured, every claim can be proven.
Ingestion, ETL, data lake, warehousing, relationship governance, AI querying — all under one roof. Replace Fivetran, dbt, Airflow, Atlan, and your BI tool simultaneously. The TCO math is straightforward.
Chat, notebooks, SQL editor, dashboards — QWRY ships the entire analytics layer. No Tableau. No separate Jupyter server. No BI licence. The workspace is not an add-on. It is the product.
QWRY samples data across sources, calculates overlap percentages, detects cardinality, scores confidence, and presents a complete relationship map — automatically, every time you sync. What used to take a data engineer weeks of manual mapping takes QWRY minutes.
Better-funded competitors will arrive in your vertical. The organisations that embed unified data intelligence now will be structurally harder to displace. Data platforms that become the system of record create compounding advantages. The time to act is before the race gets crowded.
Point QWRY at your existing databases and files. No migration required. No schema changes needed.
Raw data lands in your S3 bucket or ours. Timestamped snapshots. Full audit history. Original format preserved.
Automated pipeline cleans, transforms, and loads into a unified PostgreSQL warehouse. In your infrastructure if you choose.
The engine maps every connection across every source. Confidence-scored. Cardinality-typed. Continuously updated on resync.
Ask anything. QWRY generates SQL, runs it, verifies the result, and returns an answer your business can act on.
Use chat, notebooks, SQL editor, or dashboards — all in one workspace. Share verified insights directly with stakeholders, no exports required.
No rip-and-replace. QWRY reads from your existing systems — databases, files, documents — and unifies them without touching your source infrastructure.
MySQL
Transactional databases, e-commerce backends, operational records, and web application data.
PostgreSQL
Analytics databases, internal platforms, and complex relational data with advanced query needs.
MongoDB
Document stores, product catalogues, user event logs, and flexible-schema application data.
Snowflake
Cloud warehouses already in use — bring them in alongside your other sources.
Oracle DB
Enterprise financial and operational systems running on Oracle infrastructure.
SQL Server
Windows-based enterprise applications, government systems, and Microsoft ecosystem backends.
Excel / XLSX
Finance models, procurement sheets, and legacy exports that live outside formal systems.
PDF Documents
Contracts, invoices, regulatory filings, and policy documents — extracted and made queryable.
CSV Files
Data exports from any system — survey results, billing extracts, sensor readings, open data.
Google Sheets
Collaborative spreadsheets used for reporting, planning, and shared operational data.
Salesforce
Customer records, pipeline data, activity logs, and account history from the world's leading CRM.
HubSpot
Marketing, sales, and service data — contacts, deals, campaigns, and support tickets.
Zoho CRM
Popular among Indian enterprises — leads, accounts, contacts, and sales pipelines.
Freshworks
Customer support, CRM, and ITSM data from one of India's leading SaaS platforms.
SAP
Finance, procurement, HR, and supply chain data from the dominant enterprise ERP platform.
MS Dynamics
Microsoft's ERP and business applications covering finance, operations, and supply chain.
Oracle ERP
Oracle Fusion and E-Business Suite data — financials, HR, projects, and procurement.
Tally / Busy
India's most-used accounting platforms — ledgers, vouchers, inventory, and GST data.
Google Analytics
Web traffic, conversion funnels, user behaviour, and campaign performance data.
Mixpanel
Product analytics, event streams, and user journey data for digital products.
Amplitude
Retention, engagement, and growth data from product analytics pipelines.
Tableau
Published extracts and data sources from existing Tableau deployments.
REST API
Pull data from any HTTP/REST endpoint — internal microservices, third-party platforms, custom backends.
GraphQL
Query-driven API sources from modern data platforms and headless applications.
Webhooks
Event-driven data streams from payment gateways, IoT platforms, and real-time triggers.
QWRY ships with every interface your team needs — natural language chat, Python notebooks, a SQL editor, and live dashboards. No BI tool. No separate notebook server. No additional subscription. One platform, every workflow.
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.
For analysts who prefer code we have a native Jupyter-compatible notebook with direct warehouse access, preloaded schema context, and Python/SQL interop. No environment setup. No kernel management.
Turn verified queries into shareable dashboards and lightweight data apps. No Tableau. No Power BI licence. Built for business users who need answers, not tools to master.
The average enterprise data team switches between 4–6 tools in a single analysis workflow. Context switches cost hours. Errors compound across tool boundaries. QWRY collapses the entire workflow — from raw data to shared insight — into a single environment. The question is asked and answered in the same place it is acted upon.
In regulated environments, "the AI said so" is not an acceptable audit trail. Every answer QWRY returns includes the underlying SQL query, the warehouse table it ran against, and a timestamp. Your compliance team gets a full chain of custody from question to answer. AI-native does not mean AI-opaque.
Whether your team runs on Python, SQL, dashboards, or plain English — QWRY has a native interface for each. No compromise. No additional configuration.
DPDP Act 2023, CERT-In mandates, RDSS compliance, MeitY procurement requirements — the architecture is not an afterthought. Bring your own infrastructure, your own cloud, your own AI model. QWRY processes. You own.
All raw data lands in your AWS S3 bucket. Your account, your encryption keys, your CloudTrail logs.
Run the warehouse on your PostgreSQL server — on-prem or private cloud. QWRY never holds your transformed data.
Plug in your preferred LLM. GPT-4o, Claude, or your own fine-tuned model. No dependency on a single AI provider.
AT&C loss analytics, tamper detection, demand forecasting. RDSS and NEP 2026 aligned. Unify SCADA, billing, metering, and grid data in one warehouse.
Cross-product customer intelligence, risk aggregation, regulatory reporting. On-prem capable. DPDP-compliant. No data leaves your perimeter.
Agentic project management, multi-department data integration, MeitY-aligned procurement. Built for the complexity of government data environments.
ERP, MES, and IoT data unified. Supply chain visibility, production analytics, and quality correlation across heterogeneous plant systems.
Customer, order, product, and supplier data connected automatically. Operational intelligence without a team of data engineers maintaining manual pipelines.
| Capability | QWRY.ai | Hevo + dbt + Atlan | Hex Technologies | Databricks |
|---|---|---|---|---|
| Cross-database relationship discovery | ✓ Native AI | ✗ | ✗ | ✗ |
| Heterogeneous source unification (SQL + NoSQL + Files) | ✓ | ✓ (3 tools) | ✗ | Partial |
| Bring Your Own Infrastructure | ✓ Full BYOI | ✗ | ✗ | Partial |
| Bring Your Own Cloud (data lake) | ✓ | ✗ | ✗ | ✓ |
| Bring Your Own Model | ✓ | ✗ | ✗ | ✗ |
| Verified AI answers (executable SQL) | ✓ | ✗ | Partial | ✗ |
| On-premises deployment | ✓ | ✗ | ✗ | ✗ |
| Ingestion + ETL + warehouse + AI in one platform | ✓ | ✗ (3+ tools) | ✗ | ✗ |
| Indian enterprise / regulated sector focus | ✓ | ✗ | ✗ | ✗ |
| Estimated TCO vs assembled stack | 30–60% lower | Baseline | Higher | Higher |
We are based in Delhi NCR, India. When you engage QWRY, you get direct access to the engineers and product architects who built the platform — not a support queue. We handle the full implementation: data source connection, cross-source relationship mapping, workspace configuration, team onboarding, and go-live. Every deployment is tuned to your organisation's data vocabulary, regulatory environment, and operational workflows.
We are selectively onboarding consultants and domain experts across industries as design partners. If you advise organisations on data, operations, or digital transformation and you recognise the fragmentation problem when you see it, we want to speak with you directly.