Agentic Architecture

Beyond simple retrieval.

DataMind AI classifies user intent in milliseconds, routing complex queries to specialized agents. Query databases, automate tasks, and fetch documents through a single stream.

DataMind Robot

Intent Stream

Real-time classification.

Vector Fetch

Instant context retrieval.

Agent Flow

Smart query orchestration.

See it in action

DataMind at work

Watch how we classify intents and route agents in real-time. No smoke and mirrors, just pure performance.

DataMind AI Demo Thumbnail
Acme CorpNexus LabsFinanceOSMeridianCipher AIVeritasLoopholeStratosTechAcme CorpNexus LabsFinanceOSMeridianCipher AIVeritasLoopholeStratosTech

How it works

One query. The right action.

Every message is classified, routed, and executed automatically — from question to real-world action in milliseconds.

A

Understanding your query

Intent Classification

The AI router analyses your natural language query in milliseconds, identifying whether you need a database lookup, email automation, spreadsheet analysis, document retrieval, or a multi-step workflow.

B

Right agent, every time

Smart Agent Routing

Based on classified intent, your query is dispatched to the specialised agent — SQL Agent, Email Agent, CSV/Excel Agent, RAG Knowledge Agent, or Workflow Orchestrator. No manual selection needed.

C

Real actions, not just text

Action Execution

The agent takes real action — queries your live database, reads your spreadsheet, searches through uploaded documents, or sends that email. Results are computed from your actual data sources.

D

Answer + proof of action

Structured Response

You receive a natural language answer, the intent classification, the action taken, source citations, and latency — all in one structured JSON response through a single API call or the Playground.

SQL Agent
Email Agent
Excel Agent
RAG Agent
Workflow Agent
< 60ms
Agent response time
5 agents
Specialised handlers
4 inputs
File formats supported
1 API
Single endpoint for all

Capabilities

Five agents. One platform.

Each agent is purpose-built for its domain. You never choose — the system routes automatically.

SQL & Database Agent

Natural Language → SQL

Ask questions about your database in plain English. The agent generates and executes the SQL, then returns a clean readable answer.

Example
# Natural language → SQL executed automatically
User:  "Which customers spent over $5k last month?"

SELECT customer_id, name, SUM(amount) as total
FROM orders
WHERE order_date >= '2024-11-01'
GROUP BY customer_id
HAVING total > 5000
ORDER BY total DESC;

Email Workflow Agent

Automation

Send emails, draft messages, and automate recurring reports — all from chat or the API.

Send weekly report to marketing@co.comSent ✓
Draft a follow-up for all open ticketsDrafting…

CSV & Excel Agent

Spreadsheet AI

Upload Excel or CSV files. Ask analytical questions and get human-readable answers backed by the actual data.

.xlsx.xls.csv.tsv

"Which region had the highest return rate in Q3?"West (8.4%), vs avg 5.1%

Knowledge Retrieval Agent

RAG

Semantic search over your uploaded documents — PDFs, text, JSON. Returns grounded answers with source citations.

"What's our policy for late deliveries?"policy.pdf, §4.2

Multi-step Workflow Agent

Orchestration

Chain multiple agents together. One query can retrieve data, run SQL, summarise it, and send the result via email — planned and executed automatically.

Retrieve data
Run SQL
Summarise
Send email

Playground

Chat with your entire business context

Test your agent before shipping. Ask anything — the system shows which agent handled it, the reasoning steps it took, and the sources it cited.

Streaming SSE responses — see it think in real time

Pipeline steps shown inline — router, agent, result

Citations and confidence scores for every RAG answer

Scoped per workspace — isolate projects cleanly

Live demo — pipeline steps

U

What was our revenue last quarter?

For developers

One API for every agent

Send a natural language query and get back a structured response — the intent, the action taken, and the answer. The same endpoint handles RAG, SQL, emails, and workflows. Integrate into your product in minutes.

Streaming SSE for real-time token output

Single REST endpoint — all agents behind one URL

Built-in examples in cURL, JavaScript, Python

JWT auth, workspace-scoped, production-ready

cURL · The same endpoint for everything
# Ask in plain English — the agent figures out the rest
curl -X POST https://api.datamind.ai/query \\
  -H "Authorization: Bearer YOUR_TOKEN" \\
  -d '{ "question": "Send the Q3 report to Sarah", "workspaceId": "ws_xyz" }'

# Response — action taken, not just text
{
  "intent":      "email_workflow",
  "action":      "email_sent",
  "to":          "sarah@company.com",
  "answer":      "Report sent to Sarah with Q3 summary.",
  "latency_ms":  61
}
Infrastructure & Deployment

Want this power in your own stack?Self-HostedCustom Integration

Due to high infrastructure costs of Vector DBs and LLMs, this live demo is limited. If you're looking to integrate DataMind AI's intent routing into your systems, let's collaborate.

Who We Are:

We build pipelinesAgentic routing that feel intelligent.

From intent to execution.Sub-millisecondBuilt to scale

Start Building.