
See TextQL answer a real business question live on your data.
Cymetrix is a TextQL implementation partner helping enterprises in the USA, India, and global markets deploy an AI data activation layer at scale. We connect your existing data sources, configure governance and access controls, and get your teams live without migrating a single table or hiring additional analysts.
Are you ready to see your own enterprise data answer complex questions in seconds? Schedule a live session with our team. Let us help you unlock the full potential of your existing data infrastructure.
The Problem
Your data is massive.
Your ability to use it isn't.
Modern enterprises operate on billions to trillions
of rows of data spread across warehouses, CRMs,
and internal systems. But turning that data into answers
is still painfully slow.
Every request — no matter how small — joins a queue. Data teams spend days navigating complex schemas, joins, and dependencies across thousands of interrelated tables.
Traditional BI tools demand certified experts, weeks of training, and months of dashboard setup before delivering any value to business users.
Data is spread across warehouses, CRMs, and internal systems. Insights require manually stitching data across Snowflake, BigQuery, Salesforce, and proprietary tools.
By the time answers arrive — after days of back-and-forth — the business has already moved on. Competitive opportunities lost to slower analytics cycles.
The Solution
Built for the scale and complexity
of enterprise data.
plain English into instant insights. Cymetrix handles the full
implementation, including data connections, governance, and
go-live in weeks.
1. Ask naturally, in plain language
Business leaders and data teams can ask complex questions without writing SQL. TextQL interprets intent, not just keywords, understanding what you actually need from your data environment.
2. Understands your entire data landscape
Automatically discovers and maps relationships across thousands of tables and systems. Navigates complex schemas, including undocumented ones, without human guidance.
3. Runs multi-step autonomous analysis
Writes, tests, debugs, and refines queries iteratively until results are accurate. Handles large-scale data workloads that cannot fit on a single machine, running directly at warehouse scale.
4. Works on live, large-scale data.
Analyzes billions of rows directly within your warehouse, with no extraction, pipelines, or pre-processing required. Your data stays where it is, while governance and security remain intact.

What Makes This Different
Autonomous analysis at
enterprise scale.
TextQL behaves like a persistent AI analyst working across
your entire data stack, continuously at scale.
Discovers and maps table relationships automatically, even across poorly documented, legacy, or inconsistent data environments.
Writes, tests, and fixes SQL iteratively until results are accurate. No human debugging required, the system validates its own outputs.
Operates for extended periods to resolve complex, multi-layered questions, not just one-shot queries. Moves from question to root cause, not just dashboards
Handles data that cannot fit on a single machine. Analyzes billions of rows directly in your warehouse — no extraction, no sampling.
Not a replacement — an extension. Reduces analyst backlog, increases data team capacity, and extends the reach of your existing infrastructure.
Billions
Rows analyzed in minutes
Thousands
Analyses run in parallel
Zero
Data migration required
100%
Rows analyzed in minutes
500+
Enterprise Projects Delivered
6 Wks
Average Go-Live Time
3X
Average ROI in Year 1
50+
Enterprise Teams Live
Built for Your Data Stack
Works with what you already have.
No migration. No rip-and-replace. TextQL activates your existing data infrastructure
Cymetrix ensures it's secure, governed, and production-ready from day one.
No data migration required
Queries data in place — directly in your warehouse or database. Your data never moves.
Fully governed & role-based
Every query is traceable. Role-based access controls ensure the right people see the right data — always.
Audit-ready query traceability
Full lineage of every analysis run — who asked, what was queried, what data was accessed. Enterprise compliance built in.
Secure, scalable rollout tailored to your architecture — not a generic SaaS setup.
Connects to your existing systems
BigQuery
Redshift
Databricks
Salesforce
SAP
Oracle
PostgreSQL
dbt
Fivetran
+ More
TextQL works on your data as it is. It doesn't require your data to be clean, well-documented, or "AI-ready." Even messy, complex, legacy environments are supported — the system navigates and learns your schema autonomously.
Who Is This For
Built for data leaders,
data teams, and business executives.TextQL deployed by Cymetrix serves every tier of your organisation — selling
the value to data leaders, proving safety to technical teams, and delivering
impact to business executives.
CDO · Head of Data · VP Analytics
Reduce backlog. Deliver more. Without growing your team.
Data leaders face an impossible equation: growing demand for insights, limited analyst capacity, and constant pressure to prove ROI on a data stack that took years to build. TextQL changes the math.
- 1. Reduce analytics backlog without hiring additional analysts
2. Increase ROI on your existing data infrastructure
3. Deliver faster insights to every business team simultaneously
4. Extend data team capacity — not replace it
5. Full governance and access controls remain in your hands

Data Engineering · BI Teams · Analytics Engineers
Automate the repetitive. Focus on the strategic.
Data engineers and analysts spend too much time on repetitive SQL generation, debugging queries, and answering simple business questions. TextQL handles the routine — so your team handles the complex.1. Automate repetitive SQL writing and query debugging
2. No migration required — works on your existing stack
3. Maintain full control: governance, access, and validation
4. Every query is traceable and auditable
5. Focus engineering time on high-impact architecture work

CFO · CMO · Strategy Leaders
From question to decision — without waiting on reports.
Every critical decision depends on data — but getting answers often takes days of back-and-forth with analysts. With TextQL deployed by Cymetrix, leadership teams move at the speed of the business.1. Ask complex questions in real time — get answers in minutes
2. Insights grounded in live governed data, not static dashboards
3. Understand what caused a change — not just that it changed
4. No dependency on manual reporting cycles or analyst availability
5. Make high-confidence decisions backed by real data

For Business Leaders
From question to decision —
without waiting on reports.
Every critical decision depends on data. Stop waiting days for answers that should take seconds.
Ask complex questions in real time
"What's driving the drop in conversion this week?"
Cross-system root-cause analysis in seconds
"Which regions are underperforming — and why?"
Multi-dimensional analysis across billions of rows
"What changed in the last 48 hours?"
Real-time anomaly detection across all data sources
📊Answers grounded in real data — not assumptions
Insights generated directly from your governed data systems — not static dashboards or reports that were accurate last week.
🔍Go beyond surface metrics
Instead of seeing that a number changed, understand what caused it — across systems, teams, and time periods. Root-cause, not just dashboards.
⚡Make decisions with confidence
No waiting. No back-and-forth. No dependency on manual analysis cycles. Decisions at the speed the business actually operates.
🛡️Trusted, governed outputs every time
Every answer is traceable, auditable, and generated from your governed data infrastructure — not a black box.
Industries We Serve
Built for data-driven teams
across every sector.
Wherever teams make decisions from data, TextQL + Cymetrix replaces slow reporting with instant, conversational insights built for the scale and complexity of your sector.
Cymetrix enables financial institutions to deploy TextQL across risk, compliance, and revenue operations. Teams can query billions of rows of transaction, client, and portfolio data without writing SQL. We deliver governed, real-time analytics across trading desks, relationship management, regulatory reporting, and enterprise-wide financial insights on your existing data platform.
Cymetrix helps healthcare organisations unify patient, clinical, and operational data through TextQL to enable complete care journey analytics. We support population health management, clinical performance tracking, pharma commercial insights, and payer analytics. All running on governed, compliant, real-time data without analyst dependency or SQL bottlenecks.
Cymetrix helps manufacturers connect plant, supply chain, dealer, and operational data through TextQL for complete visibility into production, quality, and distribution. Our solutions enable real-time production analytics, supply chain performance insights, demand forecasting, and IoT data pipelines accessible through plain-language questions across your existing data stack.
Cymetrix enables high-tech companies to unify product usage, customer, and revenue data through TextQL to build a comprehensive analytics layer across their stack. We deliver ARR, churn, expansion, and retention analytics along with product-led growth insights, customer health scoring, and operational efficiency metrics integrated across your CRM and data warehouse.
Cymetrix enables retailers to unify customer, commerce, loyalty, and supply chain data through TextQL to create a complete Customer 360 without analyst queues. We power real-time personalisation, demand forecasting, inventory planning, category and margin analytics, and store performance insights across your existing data infrastructure using conversational, AI-driven querying.
Cymetrix enables logistics and supply chain teams to query operational, fleet, fulfillment, and vendor data through TextQL in real time without manual report generation. We deliver route optimisation analytics, on-time delivery performance, carrier cost analysis, and end-to-end supply chain visibility across distributed data systems through plain-language questions.
How it works
From question to insight
in five steps.
TextQL's AI bridges the gap between business users and complex data. Cymetrix handles the full implementation so it fits your exact data environment from day one.
🙋Question Asked
Business or data team asks in plain language
🗺️Schema Explored
AI maps thousands of tables autonomously
⚙️Queries Written
Multi-step SQL written, tested, refined
📊Analysis Complete
Billions of rows analyzed in seconds
✅Decision Ready
Governed, traceable answer delivered
Common Concerns — Addressed
Questions your data &
leadership team will raise.We've heard every objection. Here's how TextQL — and
Cymetrix's implementation approach — addresses each
one directly.
⚠ Concern
"We already have a sophisticated data stack. Why add another layer?"
Enterprise teams invest years building BI and data infrastructure — adding tools that conflict or duplicate is a real risk.
✓ Our Answer
TextQL is an activation layer — not a replacement.
It sits on top of your existing warehouse and BI layer, querying data in place. No migration, no replacement. Your stack investments are fully preserved and extended.
⚠ Concern
"Our data is messy and not ready for AI."
Complex schemas, undocumented tables, inconsistent naming — most enterprise data environments are far from "AI-ready."
✓ Our Answer
TextQL doesn't require clean data — it navigates messy data.
Unlike traditional AI analytics tools, TextQL autonomously explores and maps your schema — even if it's undocumented, legacy, or inconsistent. Messy data is the environment it was built for.
⚠ Concern
"Will this reduce the importance of our data team?"
Data leaders and analysts are rightly protective of their team's role and value within the organisation.
✓ Our Answer
TextQL extends data team capacity — it doesn't replace it.
By automating repetitive SQL and routine queries, analysts focus on high-impact, strategic analysis. The data team's value increases — their time is spent on the work only they can do.
⚠ Concern
"We're building an in-house solution already."
CDOs and CTOs often have internal AI analytics projects in flight — and are cautious about tools that may conflict with long-term roadmaps.
✓ Our Answer
Get measurable value now while your internal build matures.
Internal builds typically take 12–24 months to reach business-usable results. TextQL with Cymetrix goes live in 6–8 weeks — delivering ROI in parallel, not instead of, your long-term roadmap.
Not sure if your data environment is ready?
Take our free Data Readiness Assessment. In 30 minutes, Cymetrix's experts evaluate your current data stack and tell you exactly what a TextQL deployment would look like — including timeline, ROI model, and governance configuration.
Allied For Success: Our Partnerships
We partner with global technology leaders across CRM, cloud data, AI and integration ecosystems to strengthen our enterprise delivery model.







