Ecommerce
Challenge
Sales data sits in separate systems, so simple merchandising questions wait on analysts.
How Alfario helps
A cross-database semantic layer links brands, products and sales for plain-English answers with a trust score.
Alfario — A Lightweight Fabric for Analytics, Reliability & Intelligent Operations
Turn existing enterprise data into trusted AI-ready answers
A faster path from datasets to a governed data dictionary, to a managed semantic model and ontology, without replacing your current data platform.
Book a free demo callHow it works
From your databases to a trusted answer, in four steps
Your data
Existing databases
AI suggestions
For definitions, metrics, relationships, hierarchies, ontology and readiness conditions
Establish governance
- Your team approves and owns it
- Tailored access
- Policy enforcement
Trusted answer for
Dashboards, queries, AI agents
What it does
One lightweight fabric, three jobs done at once
Alfario governs your data, checks that it's trustworthy, and keeps the whole layer running, so every dashboard, query and AI agent draws from the same reliable source.
01
Analytics
Governed dashboards and plain-English answers for business users, without waiting in the analyst queue.
02
Reliability
Readiness checks and a trust score on every answer, so teams know when the data behind it is solid.
03
Intelligent Operations
AI agents, scheduled jobs and Git-based releases that keep the data layer running with less manual work.
The problem
The challenges Alfario was built to solve
Data scattered across legacy and modern databases makes it hard to deliver answers teams can trust, and heavyweight platforms that promise governance and AI usually come with a migration, a dedicated platform team and months of rollout. In the meantime, most teams live with:
!01
Slow answers
Every new business question waits in the analyst queue.
!02
Untrusted metrics
The same KPI is defined differently across teams, with no visibility into data quality.
!03
Siloed data
Critical data sits across Postgres, SQL Server and cloud warehouses with no unified view.
!04
Unsafe AI
LLMs answer confidently from data nobody has validated.
!05
Forced migration
Teams on Postgres and dbt are told to rebuild their stack before they can unlock governance and AI.
Recognize these challenges in your team?
See how Alfario solves them on your own data.
The solution
One governed data fabric, no migration required
The platform connects to your legacy and modern databases where the data already lives, using AI to draft documentation, metric definitions and the context AI needs. Your team reviews, approves and owns this shared semantic layer, giving business users, dashboards and AI agents consistent, governed answers while reducing manual effort and dependence on analysts.
Fast, governed answers
AI drafts dashboards and definitions in days, not months, so business users stop waiting in the analyst queue.
One metric, everywhere
Every KPI is defined once in the data dictionary, with the SQL and data quality behind it visible to everyone.
A single semantic layer
Link Postgres, SQL Server and cloud warehouses into one governed view, without moving or duplicating data.
AI you can trust
Every answer carries a trust score, and AI-generated logic is reviewed by a person before it goes live.
No forced migration
Alfario works with the databases and tools you already run, including Postgres and dbt, with no platform switch required.
What this looks like day to day
How teams actually work with Alfario
Draft with AI, approve as a team
AI proposes metrics, relationships, and hierarchies from your schema.
Modeling moves faster, and nothing goes live without an owner.
One data dictionary & ontology implementation
Definitions, default aggregations, and hierarchies live in one governed place.
Every report and agent speaks the same business language.
Answers you can verify
Ask in plain English or use the Explorer, which shows the exact SQL behind each number.
Check AI answers against deterministic SQL before anyone relies on them.
Safe change control
Promote definitions from dev to production through Git, with support for lower environments such as test and staging.
Downstream numbers never shift without review.
Why it's different: Built for rapid exploration and practical adoption: a guided workflow, human review of AI-generated logic, and deployment options including customer-managed cloud or on-premises containers. It can complement existing enterprise platforms.
Fits what you already run
Connects to the databases you have, deploys where your data already lives
Works with
Postgres
SQL Server
Oracle
BigQuery
Snowflake
Databricks
Deploys on
C
Complere cloud
Fully hosted, the fastest way to start.
Your Azure, AWS or GCP account
Runs inside your own cloud environment.
On premises
Self-hosted in your own containers.
Already running Postgres, Snowflake or Databricks?
Start with the databases you have today. No migration needed.
Who it's for
Built for the people who need answers and the people who keep data trustworthy
Analysts and data teams build knowledge bases, define metrics and set quality rules, with AI doing the heavy lifting.
Business users ask questions in plain English and get governed answers with a trust score, without writing SQL.
Every team gets a role that fits, from full control to read-only oversight.
admineditorvalidatorviewerauditor
Where it fits
What Alfario can do in your industry
Want to see Alfario in your industry?
We'll walk you through a use case built around your data.
Trust by design
Your data stays in your database, under your controls
No copies, no silent changes, and a read-only role for whoever needs to check our work.
No data copies
Queries are pushed down to your database, and knowledge bases materialize as views in a schema you control.
Access control
Admin, editor, validator, viewer and auditor roles, with row-level and dimension-level security.
Auditability
Every agent query is logged, and a read-only auditor role can review everything.
Human in the loop
AI-generated SQL, charts and rules are approved by a person before release.
Your choice of AI model
Use the model provider your security team has approved.
Sensitive data flags
AI automatically flags likely PII and PHI fields.
Safe change control
Definitions move from dev to production through Git, so downstream numbers never shift without review.
Compliance
SOC 2 certification in progress.
FAQ
Frequently asked questions
Does my data leave my database?
Your source data stays where it is. Queries are pushed down to your database, and knowledge bases materialize as views in a schema you control. Alfario stores only metadata such as descriptions, rules and settings.
Which data sources are supported?
Postgres, SQL Server, Oracle, BigQuery, Snowflake and Databricks, all linkable in one semantic layer.
Do business users need to know SQL?
No. They ask questions in plain English, while analysts can write SQL with AI assistance and review in the Explorer.
How is the trust score calculated?
From the readiness checks on the underlying data. Low scores are flagged so users know when not to rely on an answer.
Can I bring my own LLM?
Yes. Register models from OpenAI, Anthropic or Google and switch between them per question.
How is this different from replacing our current platform?
Alfario adds a governed semantic layer, quality checks and AI answers on top of the databases you already run, without a migration or a dedicated platform team, and can complement a larger platform if you add one later.
Trusted By
Complere Infosystem is a multinational technology support company that serves as the trusted technology partner for our clients. We are working with some of the most advanced and independent tech companies in the world.
Contact Info
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