Database Intelligence Agent
Athena translates plain English into verified SQL — giving your team direct access to the data they need, with no risk of modifying anything and no SQL knowledge required.
Live session — read-only enforced
▸ Your question
"Show me all claims denied in the last 30 days with denial code CO-97, grouped by provider."
↳ Generated SQL
SELECT provider_name, COUNT(*) AS denied_claims
FROM claims c
JOIN providers p ON c.provider_id = p.id
WHERE c.denial_code = 'CO-97'
AND c.adjudicated_date >= CURRENT_DATE - 30
GROUP BY provider_name
ORDER BY denied_claims DESC;
↳ Results — 847ms
| provider_name | denied_claims |
|---|---|
| Midwest Surgical Group | 142 |
| Central Radiology Assoc. | 97 |
| North Shore Primary Care | 74 |
| + 31 more rows… |
How It Works
Provide your connection string
PostgreSQL, MySQL, SQLite, or SQL Server. Athena connects once and begins schema analysis. Your credentials are never stored after the crawl completes.
Schema is semantically mapped
Athena doesn't just read column names — it generates plain-English descriptions of what each table and column represents, including sample values and relationships.
Ask in plain English
No SQL knowledge required. Write questions the way you'd ask a colleague: "How many active accounts renewed last quarter?" or "List all open defects by severity."
Get results — and the SQL behind them
Results come back as a data table with a plain-English explanation. The generated SQL is always shown. Every query passes a guardrail check before execution.
The Differentiator
At crawl time, Athena generates semantic descriptions of every table — what it contains, what it's used for, how it relates to other tables. Not just the column names.
| Capability | Athena |
|---|---|
| Schema understanding | Semantic index generated at crawl time |
| Domain vocabulary | Business terms mapped to DB objects explicitly |
| Read-only enforcement | Two independent layers — generation + execution |
| Audit logging | Every question and query logged with user + timestamp |
| Result explanation | Plain-English description alongside every query |
| Schema changes needed | None — connects to existing databases as-is |
Use Cases
Healthcare / Insurance
Claims Auditor
"Which providers had the highest CO-4 denial rate in Q3, and how does that compare to Q2?"
Compliance and audit staff get direct access to claims data without writing SQL or waiting on an analyst. Fully logged for audit trail requirements.
SaaS / Product
Product Support Team
"Show me all accounts that triggered the billing error in the last 7 days with more than 5 users."
Support engineers investigate production issues themselves rather than submitting data requests. Faster resolution, less engineering interrupt.
Manufacturing / QA
QA Engineer
"List all defects from line 3 in the last month where root cause is unresolved, grouped by part number."
QA teams query production databases directly during investigations, with zero risk of modifying test records or operational data.
Financial Services
Business Analyst
"How many accounts were flagged for review last quarter, and what percentage were cleared within 5 days?"
Analysts explore data independently, with full visibility into the SQL so results can be verified and reproduced by the data team.
Operations
Operations Manager
"What was the average time-to-resolution for priority-1 tickets by region last month?"
Operational leaders get the metrics they need without going through a BI team for every ad-hoc request.
Engineering
Backend Engineer
"Find all orders in the last 24 hours where payment_status is 'pending' and created_at is older than 2 hours."
Engineers use Athena during incident investigation as a fast, safe interface to production data — without direct database access for the whole team.
Early Access
Athena is in controlled early access. We're working with teams in healthcare, insurance, financial services, and manufacturing who have complex databases and non-technical users who need data.
We connect, crawl, and validate against your schema before you commit to anything. If the accuracy isn't there, we'll tell you.
Tell us about your database and use case. We'll follow up within 2 business days.