Get your data
AI-ready, faster.
Flux is Cymonic’s accelerator for agentic data engineering. Describe what you need in plain English and a team of intelligent agents builds it, checks it and keeps it governed. Works on Databricks and Microsoft Fabric: not tied to one platform.
- Runs inside your environment
- People approve every change
- Fully tracked and reversible
The challenge
Slow data work is holding AI back.
Every new request, whether a data source, a report or an AI use case, sets off the same chain of manual work. By the time it finishes, the question has often moved on.
- Connect the source
- Shape the data
- Build the report
- Test every change
- Document what was done
Today
Weeks of effort before anyone sees an answer.
Skilled data teams spend their time on repetitive preparation, and AI and analytics projects wait.
With Flux
Flux does that work, and shows its work.
Your people stay on the decisions that need judgment.
Why Flux changes the equation
Closing the gap between data availability and data readiness.
Flux helps organisations answer the questions that determine AI success, and keep answering them as the data estate changes. Availability is a storage problem. Readiness is a trust problem.
Do we know what data we have?
Flux discovers assets and maps how they relate, so nothing hides in the estate.
Can we trust it?
Quality issues, anomalies and duplication are caught before AI consumes them.
Who owns it?
Ownership and stewardship are identified, so accountability has a name.
What information is sensitive?
Sensitive and business-critical data is classified before it reaches a model.
Is it governed?
Lineage and policy enforcement are automated rather than documented once and forgotten.
Is it ready for AI?
The answer becomes a living fact about your data, not an assumption.
How Flux does it
From a plain-English request to governed, ready data.
Intelligent agents work inside your own data environment, such as your Databricks workspace or Microsoft Fabric. They plan the job, build it, follow your rules, check their own work and ask a person to approve every change.
Flux is a product, not a service.
Rather than treating data engineering as a series of one-off projects, Flux uses intelligent agents across the whole data lifecycle (Discover, Understand, Govern, Improve, Activate) to keep discovering, understanding, governing, improving and activating your data. Continuous, not one-time. The loop never stops running.
- Discover
- Understand
- Govern
- Improve
- Activate
- Plan the jobPlanready
- Build pipeline and tablesBuildbuilt
- Apply your rulesGovernapplied
- Verify quality checksVerifypassed
- Approve the changeApproveyour call
- DeployDeployqueued
What Flux takes care of
Everything your data needs to be AI-ready.
Quality, security and management are built into every asset Flux creates, not added afterwards.
Data quality
- Quality checks and monitoring on every dataset
- Duplicates and anomalies caught early
Sensitivity
- Sensitive data found and labelled automatically
- Business-critical assets classified
Row-level security
- People see only the rows they are allowed to see
- Applied consistently, not by hand
Column-level security
- Protect or mask sensitive fields
- Access follows role and sensitivity
Data management
- Cataloguing, metadata and business context
- Ownership, stewardship and lineage
Governance and compliance
- Policies enforced automatically
- Every action recorded for audit
How it’s different
Built so you can trust it.
Flux is not a chatbot that writes queries and hopes for the best.
It plans before it acts
- A clear plan comes first, before anything is built
- You see the plan before anything touches your data platform
Your rules are built in
- Naming, access and governance rules are applied automatically
- Standards hold on every run, not just the demo
Every change needs approval
- Each change rated by risk and approved by a person
- A clean, reversible path back
Business outcomes
Faster delivery. Lower cost. Provable control.
Flux changes how quickly data becomes usable, what it costs to get there, and how confident you can be in the result.
Weeks of data preparation, collapsed to hours, on the data platform you already govern.
- AI and analytics projects stop waiting on data preparation
- Weeks of manual build collapse into hours
- Lower delivery cost for every pipeline
- No added headcount needed
- Augments the data engineers you already have
- More time for the judgment calls only people can make
- Every action logged and reversible
- A person approves every change
- Improved data quality
- Stronger compliance and protection of sensitive data
- Trusted, governed data for analytics, copilots and agents
- A faster route to the AI frontier
Getting started
From first use case to full rollout.
A short, low-risk path to seeing Flux work on your own data.
- Step 1
Pick the first use case
We review your data landscape with you and choose one pipeline or dashboard backlog worth tackling first.
- Step 2
Set your rules
Your naming standards, access rules and governance policies are set up so Flux works your way from day one.
- Step 3
Prove it in 2 weeks
Flux delivers the use case on your own platform, with goals agreed up front and a person approving every change.
- Step 4
Roll it out
Extend to more data sources and teams, with the same rules and the same approval trail.
See Flux on your data platform.
Tell us about a data or reporting backlog and we will show you what Flux does with it.