An AI-powered conversational layer that sits on top of your existing databases and translates natural language questions into accurate, secure queries — in real time. No SQL. No tickets. No waiting.
Database Agent connects directly to your database infrastructure and enables anyone in your organisation to ask complex analytical questions in plain English — and get accurate, structured answers instantly. Not a chatbot. Not a dashboard. A direct interface to your actual data.
The bottleneck is not your database. It's the layer between your data and the people who need it.
The average data team handles hundreds of ad-hoc query requests per month. Most are simple. All of them take time. Every time a product manager needs a number, they write a Slack message. Every time a sales lead needs a segment, they file a ticket. Every time an executive needs a trend, they wait.
Database Agent connects directly to your database infrastructure and enables anyone in your organisation to ask complex analytical questions in plain English — and get accurate, structured answers instantly.
You ask: "What were our top 10 products by
revenue last quarter, broken down by region?"
Database Agent understands the intent,
constructs the precise query, executes it securely, and returns the answer — along with the underlying SQL
logic, so your team stays in control.
What were our top 10 products by revenue last quarter, broken down by region?
| Product | Region | Revenue |
|---|---|---|
| Enterprise Suite | MENA | $842,000 |
| Data Platform | Europe | $731,500 |
| AI Agent Bundle | North America | $698,200 |
| Analytics Pro | APAC | $512,800 |
If the answer is in your database, Database Agent can surface it — in real time, with no approximation, no hallucinated data, fully auditable query logic.
Database Agent handles the full spectrum of business intelligence queries: trend analysis, cohort comparisons, aggregations, joins across multiple tables, time-series lookups, and custom segmentation. If the answer is in your database, Database Agent can surface it. No approximations. No hallucinated data. Query logic is transparent and auditable.
Enterprise databases are not monolithic. Some connections are encrypted, some are not. Database Agent supports both SSL and non-SSL configurations, adapting to your existing infrastructure without forcing a migration or a security compromise. Every connection is scoped, credentialed, and logged.
Use the REST API to embed conversational data access inside your internal tools, dashboards, or customer-facing products. Or access the agent through the interactive interface for ad-hoc exploration. Both modes. Same security model. Same accuracy.
Role-based access control scoped to database objects. Query sandboxing — the agent cannot modify, delete, or write data. Full audit trail covering every question, every query, and every response. Multi-tenant isolation ensures organisation data is never mixed or exposed.
Link Database Agent to your database via secure credentials. SSL and non-SSL supported. Works with PostgreSQL, MySQL, and other major engines. Setup takes minutes, not sprints.
Select your LLM provider, set access controls, and define which schemas or tables are in scope. Your team only sees what they are authorised to see.
Your team asks questions in plain English through the interface or via API. Database Agent constructs the query, executes it, and returns structured answers — with the SQL for full transparency.
Get started immediately. Database Agent manages the infrastructure, handles LLM routing, and scales with your usage. Ideal for teams that want production capability without operational overhead. Data in transit is encrypted. Data at rest is isolated per organisation.
For organisations with strict data residency requirements, regulatory constraints, or zero-tolerance policies on external data transmission — Database Agent deploys entirely within your infrastructure. Your database. Your LLM. Your network. Your audit logs. No data leaves your environment. Period.
Stop triaging ad-hoc requests. When every stakeholder answers their own questions, analysts focus on modelling, pipeline architecture, and strategic analysis.
Ship with conviction. Product managers who can query their own data make faster decisions, write sharper specs, and stop guessing about user behaviour. Funnel analysis, retention cohorts, feature adoption — ask the question, get the answer.
The dashboard shows what someone decided to measure. Database Agent answers what you actually need to know. Ask the exact business question, drill down in real time — without waiting for a weekly report.
Procurement, finance, HR, logistics — every operations function sits on top of structured data they cannot directly access. Database Agent puts the query layer in their hands without creating a security risk.
BI tools show what someone already decided to visualise. Database Agent answers questions no one thought to build a dashboard for.
Text-to-SQL tools generate queries. Database Agent manages context, handles ambiguity, validates outputs, and presents answers — with the query visible so you can trust the result.
Every other tool in this space bets on one model. Database Agent supports five providers because the intelligence landscape is still moving.
Read-only by default. Role-scoped. Auditable. Deployable in an air-gapped environment. Built for organisations where data access is a compliance event.
| Database Compatibility | PostgreSQL, MySQL |
| LLM Providers | OpenAI, Google Gemini, Groq, OpenRouter, Ollama |
| Connection Security | SSL / TLS encrypted + non-SSL support |
| Access Modes | REST API, Interactive Web Interface |
| Deployment | Multi-tenant SaaS, On-premise (self-hosted) |
| Access Control | Role-based, Schema-scoped, Audit-logged |
| Query Type | Read-only by design (SELECT operations only) |
| Authentication | API key-based, SSO integration (enterprise tier) |
No. Database Agent is read-only by design. It generates SELECT queries only. No INSERT, UPDATE, or DELETE operations are possible through the agent interface. This is a hard architectural constraint, not a setting.
Database Agent shows the generated SQL with every response. Your team can validate the query, not just the answer — building trust incrementally rather than asking you to take accuracy on faith.
Database Agent reads your schema at connection time and constructs queries against your actual table and column names. No training, no fine-tuning, no manual mapping required. Complex schemas work out of the box.
Yes. Ollama support is native. Deploy any Ollama-compatible model locally and configure Database Agent to route all inferences through it. No data leaves your environment at any point in the pipeline.
ChatGPT does not have access to your database. It generates SQL based on a schema you paste in — stale schema, no execution, no real answers. Database Agent connects live, executes real queries, and returns real results. The difference is a description of an answer versus the actual answer.
Give every person in your organisation direct, secure access to the answers already sitting in your database.
