AI-Powered SQL Analytics

Transform SQL Workflows with AI-Powered Analytics

DataDecipher empowers data teams with intelligent automation, semantic memory, and production-ready SQL generation. Turn natural language into verified queries in seconds.

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10x
Faster Development
99.9%
Query Accuracy
500+
Data Teams
query-builder.sql
1
SELECT customer_id,
2
order_date,
3
SUM(revenue) AS total_revenue
4
FROM orders
5
WHERE status = 'completed'
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GROUP BY customer_id, order_date
Query validated
127ms
Core Capabilities

Everything you need to streamline SQL workflows

Powerful features designed to help data teams work faster, smarter, and more collaboratively.

Intelligent SQL Generation

Transform natural language into production-ready SQL queries with AI-powered semantic understanding.

  • Natural language to SQL conversion
  • Context-aware query optimization
  • Automatic error detection and correction
  • Multi-dialect SQL support

Semantic Memory

Living knowledge graph that learns from your queries, schemas, and historical SQL patterns.

  • Graph-based context retention
  • Automatic schema understanding
  • Historical query analysis
  • Team knowledge sharing

Production Validation

Enterprise-grade verification ensures every query meets your quality and security standards.

  • Automated testing and validation
  • Human-in-the-loop verification
  • Performance benchmarking
  • Security compliance checks

Team Collaboration

Built for data teams with shared context, reusable queries, and institutional knowledge retention.

  • Shared query libraries
  • Collaborative annotations
  • Role-based access control
  • Audit trails and versioning
Simple Process

From connection to production in four steps

Get started quickly with our streamlined onboarding process designed for data teams.

01

Connect

Link your data warehouse

Securely connect your data warehouse in minutes. We support PostgreSQL, MySQL, Snowflake, BigQuery, and more.

02

Analyze

AI understands your schema

Our semantic engine analyzes your database schema, relationships, and historical queries to build a comprehensive knowledge graph.

03

Generate

Smart SQL suggestions

Ask questions in plain English. Get validated, optimized SQL queries with context-aware suggestions and automatic error detection.

04

Deploy

Production-ready outputs

Execute queries directly or export to your workflow. Every query includes validation history, performance metrics, and team annotations.

Measurable Impact

Transform your data team's productivity

Join hundreds of data teams achieving breakthrough results with DataDecipher.

10x
Faster Development

Reduce query development time from hours to minutes with intelligent automation.

99.9%
Query Accuracy

Enterprise-grade validation ensures production-ready SQL every time.

85%
Cost Reduction

Minimize expensive data warehouse queries with optimized SQL generation.

100%
Enterprise Security

SOC 2 compliant with role-based access control and audit trails.

Why teams choose DataDecipher

Comprehensive features designed for modern data workflows

Adaptive Learning

Knowledge graph improves with every query, becoming smarter over time.

Multi-Dialect Support

Works seamlessly with PostgreSQL, MySQL, Snowflake, BigQuery, and more.

Real-Time Collaboration

Share queries, annotations, and insights across your entire data team.

Performance Analytics

Track query performance, costs, and optimization opportunities.

Automated Documentation

Every query comes with context, lineage, and automatic documentation.

Version Control

Full query history with rollback capabilities and change tracking.

Trusted by Industry Leaders

Loved by data teams everywhere

Join hundreds of companies transforming their data workflows with DataDecipher.

500+
Data Teams
1M+
Queries Generated
10x
Avg Speedup
99.9%
Uptime SLA
"DataDecipher has completely transformed how our data team works. What used to take hours now takes minutes. The semantic memory is like having a senior analyst on every query."
SC
Sarah Chen
VP of Data at TechCorp
"The accuracy is incredible. We went from manually reviewing every query to trusting the AI-generated SQL in production. The validation layer gives us complete confidence."
MR
Michael Rodriguez
Lead Data Engineer at DataFlow Inc
"Finally, a tool that understands context. The knowledge graph learns from our queries and gets smarter every day. Our team productivity has increased 10x."
EW
Emily Watson
Head of Analytics at InsightLabs

Trusted by leading data teams

TechCorp
DataFlow
InsightLabs
CloudBase
AnalyticsPro
QueryMaster
Why teams switch

The SQL copilot that retains context like a research partner

Plug in your warehouse, point us at your codebase, and optionally drop in historic SQL. From there the experience is simple: clear intent capture, a computational memory that grows with every interaction, effortless verification, and production-ready SQL delivered with receipts.

System view

How the experience flows without exposing the wiring

Connect your warehouse and repo, and the system orchestrates the rest: intent enters, context is recalled (even from fresh code scans), humans calibrate, and polished SQL exits. Each pass feeds the next.

Intent Intake

Clarify goals

Prompts are translated into structured briefs with unresolved questions surfaced instantly.

Context Memory

Recall semantics

Semantic cues, schema scans, and SQL lineage expand a living graph of your warehouse knowledge.

Human Verification

Validate assumptions

Analysts review suggested signals, teaching the system which paths to trust even when history was sparse.

Adaptive Execution

Ship SQL

Queries are composed, tested, and delivered with context intact and ready to run.

Journey
01

Before day one

Plug in and let the system preload context

Connect your warehouse and, optionally, drop in historic SQL. We index schemas and scan your codebase to propose the first set of trusted joins, even if you start from scratch.

  • Automatic schema + repo analysis suggests candidate filters to confirm
  • Bulk-ingest past dashboards or notebooks when you want to fast-forward
  • Confidence scores highlight where fresh validation helps
02

During collaboration

Deterministic suggestions, no generative guesswork

Recommendations come from semantic similarity and verified SQL. Each approval or tweak instantly teaches the memory, so it grows with you even when day-one context was minimal.

  • Intent briefs surface missing filters or time windows
  • Memory recall presents ranked table ensembles tailored to the question
  • Edits lock in immediately, improving the very next suggestion
03

After handoff

Queries that ship and stay correct

Outputs arrive fully tested with links back to the memory that shaped them. Future questions start from this stronger baseline, compounding accuracy and speed — regardless of where you began.

  • Execution traces confirm every run succeeded
  • Knowledge graph expands with validated outcomes
  • Reusable briefs make institutional knowledge portable
Memory edge

A deterministic memory that compounds with use

No generative AI, no hallucinations. Every improvement comes from compute-driven pattern recognition over your confirmed SQL. Seed it with the query history you already trust, or simply start verifying answers — either way the next session starts from a richer baseline.

  • Backfill old queries to accelerate understanding of business metrics before launch.
  • Automatic drift detection highlights when evolving schemas need a quick confirmation pass.
  • Query outputs ship with provenance so teams can audit, remix, and extend with confidence.

Memory coverage scores trend upward as the system absorbs verified SQL and semantic cues. The curve is computational, auditable, and unique to each workspace.

Chapter 01

Intent, captured with precision

Every conversation starts with understanding the analytical move you want to make — not just the words you type.

We distil natural-language prompts into crisp analytical briefs. Ambiguity, missing filters, and references to earlier work are surfaced instantly, so there is a shared objective before a single line of SQL is drafted.

  • Signals and prior runs are remembered, keeping institutional knowledge in play
  • The brief evolves with your clarifications instead of starting anew each time
Chapter 02

Living memory, mapped to your warehouse

A graph memory quietly tracks how your organisation actually queries data.

Instead of hard-coding joins or assuming filters, we fuse semantic understanding of natural-language intent with the literal SQL that shipped. That hybrid signal keeps the graph aligned with how analysts think and how the warehouse is structured.

  • Embeddings from conversations and historic SQL trace relationships between tables automatically
  • Nodes carry trusted joins, filters, and value heuristics harvested from production usage
  • Codebase sweeps seed the graph when historic queries are absent, so every workspace starts informed
  • Confidence scores highlight which insights are rock-solid and which need another look
Chapter 03

Verification without friction

Humans stay in the loop, but never feel like they are doing the heavy lifting.

Suggested conditions arrive ready for a quick yes/no. Adjustments immediately strengthen the memory, and when context is missing, a lightweight codebase sweep proposes alternatives for you to approve. The result is a feedback loop that keeps getting smarter.

  • Corrections teach the memory, trimming duplicate discovery work next time
  • Auditable reasoning shows which assumptions were accepted, edited, or rejected
Chapter 04

Query craftsmanship on autopilot

Once intent is locked, the system composes, tests, and refines the query on your behalf.

Execution tools inspect schemas, validate edge cases, and iterate until the result runs cleanly. You receive ready-to-run SQL paired with the context that shaped it, so teammates can trust the answer and build on it instantly.

  • Automatic retries and schema introspection catch errors before they reach you
  • Verified context travels with the output, making collaboration effortless
Speed

Shorter paths, sharper decisions

Routine edits glide through in a single pass, while complex asks reuse validated knowledge instead of re-discovering it. Analysts spend time on interpretation, not translation.

  • Latency stays low even as requests grow nuanced
  • The memory trims redundant clarification cycles
  • Teams see first answers faster and iterate sooner
Trust

Transparency engineered in

Every suggestion arrives with a paper trail: why it was proposed, when it was confirmed, and how it ties back to previous insights. That transparency builds organisational trust in automated outputs.

  • Human checkpoints are celebrated, not hidden
  • Memory updates are versioned like code
  • Audits have a living snapshot of the journey

What this means for your team

You bring questions, we bring context — and the system only grows more insightful with every approval, correction, and shipped dashboard.

  • Your warehouse feels conversational without compromising on rigour.
  • Collective knowledge compounds, cutting costs on repeated discovery and review.
  • Stakeholders see both the answer and the reasoning, accelerating sign-off.
Transparent Pricing

Choose the plan that fits your team

Start with a 14-day free trial. No credit card required. Cancel anytime.

Starter

Perfect for small teams getting started with AI-powered SQL

$99/month
Start Free Trial
Everything included:
  • Up to 1,000 queries/month
  • 5 team members
  • Basic semantic memory
  • Email support
  • Community access
  • Query history (30 days)
Most Popular

Professional

For growing teams that need advanced features and collaboration

$299/month
Start Free Trial
Everything included:
  • Up to 10,000 queries/month
  • 20 team members
  • Advanced semantic memory
  • Priority support
  • Private Slack channel
  • Query history (unlimited)
  • Custom integrations
  • Performance analytics
  • SSO authentication

Enterprise

For large organizations with custom requirements

Custom
Contact Sales
Everything included:
  • Unlimited queries
  • Unlimited team members
  • Dedicated semantic graph
  • 24/7 dedicated support
  • Custom SLA
  • On-premise deployment
  • Advanced security features
  • Custom training
  • API access
  • White-label options

All plans include a 14-day free trial with full access

Need a custom plan? Enterprise pricing is tailored to your needs. Contact our sales team

Limited Early Access

Ready to transform your SQL workflows?

Join the waitlist for early access to DataDecipher. Be among the first to experience AI-powered SQL generation with semantic memory.

14 Days
Free Trial
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What happens after you join?

  • Receive an email with your unique early access code
  • Get onboarding materials and documentation
  • Schedule a personalized demo with our team
  • Start your 14-day free trial with full platform access