AI-native analytics

Eliminate the bottleneck between business and data teams

Business users shouldn’t wait days for a report or a SQL query. MyDataTalk lets them ask questions in plain English and get instant, actionable insights — so faster, data-driven decisions happen without the queue.

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Ask & understand

Talk to your data in plain English

Type a question the way you'd say it out loud. The model writes the SQL, runs it read-only, and explains the answer — so anyone on the team gets to insight without waiting on an analyst.

Natural language to SQL
Ask “what's our churn by plan this quarter?” and get correct, dialect-aware SQL generated and executed for you.
Automatic charts
Line, bar, scatter, and pie charts chosen automatically from the shape of your results — no chart wizard required.
Plain-English summaries
Every result comes back with a grounded natural-language readout of the key numbers, trends, and anomalies.
Vector schema retrieval
Your schema is embedded with pgvector so only the relevant tables reach the model — cheaper, faster, more accurate.
Conversational follow-ups
“Now break that down by region” just works — follow-ups keep the context of the query that came before.
“Why did it change?” diagnosis
Ask why a metric moved and get an automatic attribution — which segments drove the change, and by how much.

Act on what you find

Turn an answer into a decision

Don't just get a number — rank it by impact, put it on a dashboard, watch it on a schedule, and share it where your team already works.

Insights ranked by impact
Save any answer as an insight, scored by impact with a suggested next step — so the most important things surface first.
One-shot AI dashboards
Describe a dashboard once (“a fraud overview”) and every tile is planned, written, and run for you.
Auto-refreshing dashboards
Pin answers as tiles that re-run on a schedule, so your dashboards are current without anyone touching them.
Scheduled alerts
Set a metric to be watched — get notified the moment it crosses a threshold you care about.
Send to Slack, Teams & email
Route insights and alerts to the channels your team already lives in, or send from your own connected Gmail.
Living reports
Turn a set of insights into a narrative report that keeps itself up to date as the underlying data moves.

Grounded in your business

Answers that speak your company's language

Generic SQL doesn't know what “active” means at your company. MyDataTalk does — because it reads your definitions, docs, and domain context first.

Knowledge Hub
Upload notes and documents; relevant context is retrieved and folded into every question automatically.
Domain packs
Built-in vocabulary and metric formulas for Payments, Sales, and Customer Support — so common terms map correctly.
Per-connection business context
Add standing notes to a connection (“revenue excludes refunds”) and every query on it respects them.

Connect anything

Bring your data and your model

Point it at the databases you already run, drop in a spreadsheet, and choose the AI model that fits your budget and accuracy needs.

Postgres, MySQL & Snowflake
Connect the warehouses and databases you already use, and switch between them from a single dropdown.
Spreadsheet & CSV upload
Drag in an Excel file or CSV and query it in plain English immediately — no pipeline, no setup.
Bring your own AI model
Pick the model that fits — fast and economical, balanced, or most capable — curated for your plan.
Query across sources
Select several connections at once; the right one is chosen per question and answered in place.

Secure & governed

Enterprise guardrails on every query

Built for teams that answer to a compliance team. Read-only by design, sensitive data kept out of reach, and every request accounted for.

Read-only by design
Only single SELECT statements run. Writes, DDL, and multi-statement SQL are rejected before they reach your database — enforced at the connection, not just the prompt.
PII & column restrictions
Cardholder and sensitive columns are blocked automatically, and connection owners can put any column off-limits.
Encryption at rest
Database and model credentials are encrypted with AES-256-GCM, with optional envelope encryption backed by AWS KMS.
Full audit trail
Every question, query, and answer is logged — so you can always see who asked what, and when.
Teams, roles & sharing
Organize people into accounts and teams, share connections and models, and control who can manage what.
Abuse-resistant limits
Distributed rate limiting protects your databases and your model spend from runaway or hostile traffic.

Stop waiting on the data backlog

Connect a database or upload a spreadsheet and put answers in your business users’ hands today — in plain English, with the governance your team needs built in from day one.

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