The trust layer between AI and your Data

Answers your team can trust, in the tools they already use.

Any team, any agent, any data question. Defined once. Trusted everywhere.

ClaudeBusiness performance overview
Write a message…
Also works with ChatGPT ChatGPT Gemini Gemini Copilot Copilot Cursor Cursor LangChain LangChain n8n n8n

Bring your assistant.

Ask from Claude, ChatGPT, Gemini, Copilot, or your own.

Claude Claude
ChatGPT ChatGPT
Copilot Copilot
Custom agent Custom agent
Gemini Gemini
  • Same governed answer, regardless of the assistant.
  • Custom agents you've built. Plug in via MCP.
  • No new tool to learn for the business.

Bring your data.

Snowflake, Postgres, BigQuery, Redshift, Databricks, and more. Ask questions across all your data.

Snowflake Snowflake connected
Postgres Postgres connected
BigQuery BigQuery connected
Redshift Redshift connected
Databricks Databricks connected
MySQL MySQL connected
Oracle Oracle connected
  • Connect a new warehouse in hours, not months.
  • Queries run on your existing warehouse. Nothing copied, nothing moved.
  • Uses your existing read replicas, roles, and credentials. Nothing new to provision.

Turn answers into action.

Inside the tools your business already runs on. Slack, Gmail, Notion, your CRM.

Slack #sales-leadership Posted · just now
M

Maya 12:05

Q3 slip alert: 3 deals, $1.42M ARR at risk.

Acme (Negotiation) · Globex (Proposal) · Initech (Negotiation).

AE huddle on calendar Friday 2pm. PIPE-RECOV tickets opened. Breakdown below.

Linear PIPE-RECOV-218 Created · just now

Re-engage Acme Manufacturing: negotiation slip

R @r-kapoor · Due Fri · P1
  • • ARR at risk: $640K
  • • Last contact: 12 days ago
  • • Slipped 3 days into Q3
Calendar Invites sent

Q3 forecast review: NA segment deep-dive

Fri, May 23 · 2:00–2:45pm PT

M
C
R
S
CRO, RVP-NA, Sales Ops · 5 invited
Gmail Draft Ready to send

To: cfo@acme-mfg.com

Subject: Re: Q3 commit, proposed renewal terms

Acme team. Here are the renewal terms we discussed, plus the SMB-cohort context. Happy to walk through Friday after the…

Slack Slack Gmail Gmail Notion Notion Linear Linear Salesforce Salesforce Google Drive Google Drive

Update the deal, send the customer reply, brief the exec, without leaving the conversation. Your team gets the answer and acts on it in the same place. Powered by MCP.

Autonomy you can trust.

Agents that query and act on their own, with no one approving each step.

Agents you build runs 24/7
n8n n8n
LangChain LangChain
CrewAI CrewAI
OpenClaw OpenClaw
Agami Governed access
  • Scoped to your semantic model, with row and column policies
  • Budget held: 142 / 500 queries
  • Writes allow-listed. Everything logged to audit
  • Off-policy write blocked at the gate
Your data
Snowflake Snowflake
Postgres Postgres
BigQuery BigQuery
Redshift Redshift
Databricks Databricks
MySQL MySQL
Oracle Oracle
  • Built in n8n, CrewAI, OpenClaw, or your own stack. Governed the same way.
  • Rules enforced in the tool, not the prompt. Read scope, write limits, cost ceilings.
  • Every query and action traced, scored, and replayable.

Trust at every layer.

Context, Security, Performance, on every question before it touches your data.

Surfaces Ask anywhere
Claude ChatGPT Gemini Copilot Cursor LangChain n8n OpenClaw
Trust Layer
Context Security Performance
arr.yaml auto · vetted

metric arr = SUM(mrr) × 12

grain account · fx usd

filters account_is_deleted = FALSE

account_is_deactivated = FALSE

account_is_test = FALSE

segments region · product_line · tier

vetted_by John Smith · 2026-03-15

Q2 ARR pacing +14% above plan.

Q2 ARR $92.6M
vs plan +14%

NA $42.8M · EMEA $31.2M · APAC $18.6M

Your data Query in place
Snowflake Postgres BigQuery Redshift Databricks MySQL Oracle

A team of agents for trusted answers.

Agents build your semantic layer, answer questions on it, ship and watch it, and keep it accurate. Your team reviews, approves, and owns it. Live in days. Accurate from day one.

Build agent

Build

The Build agent reads your database, or your existing dbt and LookML, and drafts the whole semantic layer. Tables, definitions, metrics.

  • introspected 52 tables
  • drafted 38 measures
  • 4 / 4 validators passed
Your team reviews and publishes. Days, not a quarter-long modeling project.
Analytics agent

Analytics

The Analytics agent answers questions in plain language with SQL, a chart, and a short insight, using the definitions your team approved.

  • "How is gross margin trending?"
  • mapped to your gross-margin metric
Your team trusts the numbers, because nothing is guessed.
DevOps agent

DevOps

The DevOps agent ships the layer through your CI and monitors every answer in production, grading quality and flagging regressions.

  • shipped v14 through your CI
  • graded 1,240 answers
  • flagged 96 below threshold
Your team sees regressions before your users do.
Improve agent

Improve

The Improve agent turns those scores and feedback into tested fixes. Each one is impact-tested before anything ships.

  • clustered 3 failure patterns
  • proposed + impact-tested a fix
You approve in a click. Quality climbs with use instead of decaying into a backlog.

Deploy your way.

Same definitions. Local, Teams, or Enterprise.

Local

Open source

On your machine. Open source, Apache-licensed. Free.

GitHub

Teams

For teams

On Agami’s hosted infrastructure. Shared across your team, fully managed.

Talk to us

Enterprise

For enterprise

On a dedicated tenant just for you. Compliance-grade controls.

Talk to us

Tell us your hardest question.

A 30-minute conversation with the founders. We come prepared with how Agami would land on your stack.