Internally deployed · your data stays with you

Enterprise AI Analysis You Can Actually Trust.

AMOS deploys directly inside your secure environment to deliver verified reports, spreadsheets, and slides—without letting models control access or calculate numbers.

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Verified answers,
not confident guesses.

Every claim tied to the queries, definitions, and data versions that produced it.

The problem

Where AI analysis quietly fails

Models can already write SQL and explain charts. What enterprises still lack is a layer that controls access, verifies the work outside the model, and keeps every conclusion tied to evidence.

The query runs, but it computes revenue the way you defined it two quarters ago.

Instead

AMOS checks numbers against your current definitions — not the model's memory of them.

A model with broad credentials reads tables the person asking was never permitted to see.

Instead

The model only sees what the person asking is allowed to see — filtering happens before context is assembled.

“Churn rose because of the price change” sounds confident, but nothing supports it.

Instead

Causal claims wait for a human before anything is published.

A number gets questioned and nobody can show where it came from.

Instead

Every number opens back to the query, definition, and data version that produced it.

How it works

The model proposes. AMOS runs the work.

A local agent drafts the plan. It never holds credentials to your systems. AMOS decides what is allowed, executes the analysis with reliable tools, and checks every claim before anything ships.

Data warehouse
Databases & files
Business definitions
Your tools

AMOS

access · policy · verified execution · evidence

Only permitted context

The model sees only what the person asking is allowed to see.

Numbers from tools, not the model

SQL, statistics, and charts run outside the model, with hard limits.

Claims checked and cited

Every material claim is verified and linked back to its evidence.

Packages you can re-run

Reports, charts, and slides — replayable when sources change.

One analysis, verified

One question. A package you can defend.

amos — analysis workspace

question Why did weekly active usage drop in the EMEA region last month?

✓ assembled only the data this person may see

✓ ran four SQL queries outside the model

✓ built charts with deterministic workers

✓ checked twelve claims against evidence

✓ compiled the report and slide deck

→ package ready · one causal claim held for review

Deliverables

What lands on the desk — not in a chat thread.

Ask a question or schedule a recurring analysis, and AMOS returns the same package a careful analyst would deliver — with the working attached.

The answer

  • A direct answer and executive summary
  • Verified findings with stated limitations
  • Assumptions, open questions, and required review decisions

The artifacts

  • Tables and publication-quality graphs
  • A PowerPoint deck and a PDF or HTML report
  • Spreadsheets and machine-readable results

The proof

  • The queries, metric definitions, and data versions used
  • Claim-level citations and freshness information
  • A replayable record, revalidated when sources change

Built for the enterprise

Built to run where sensitive data already lives

Enterprises can't hand a model the keys. AMOS exists so verified analysis can happen inside the walls where that data already is.

Runs inside your environment

Your data, definitions, and permissions stay in your infrastructure. Nothing leaves.

Permissions before the model sees anything

Access filtering happens before context is assembled — not as an afterthought.

Authoritative numbers never come from the model

Deterministic workers produce the numbers. The model proposes the work; it is never the source of truth.

A full trail of what ran

Who asked, what was accessed, what was computed, who reviewed, and what was published — recorded end to end.

Human review where impact is high

Causal claims and other high-stakes judgments wait for approval before publication.

Retention, legal hold, and erasure

When the rules require it, AMOS can hold, revoke, and erase with an audit proof.

Our story

The valuable part was never any one dashboard

It was the workflow that chose the right data, ran the right analysis, verified it, and packaged it for a decision. While studying data analytics at Carnegie Mellon, our founder kept seeing that same workflow across every project — a bank-sponsored next-best-action system, internal tools, analytics engagements. AI tools helped with isolated steps like writing SQL. Nothing existed that a company could trust to run the complete analyst workflow inside its own walls.

AMOS is that missing operating layer. We are four technical founders who write every line of the product ourselves. In our first month we built a working Rust prototype that controls data access, executes and verifies analyses, preserves supporting evidence, and produces reviewable results — pressure-tested with nine data leaders, analysts, and technical experts alongside CMU faculty.

4

technical founders, all writing code

1 month

to a working verified-analysis prototype

9

data leaders and experts interviewed

Looking for design partners

Bring one recurring analyst workflow

If you have a data warehouse, questions that keep coming back, and a team waiting on reports, we'll show AMOS on a workflow like yours.

Request a walkthrough

[email protected]