APPLIED AI & ANALYTICS
Put intelligence inside a workflow where it changes the work.
DataLux applies analytics, retrieval and AI to decisions and workflows with a defined source of truth, a human context and a measurable job to do.
Discuss an AI-enabled workflow ↗WHERE WE APPLY IT
Use AI where the source, action and failure mode can be named.
Knowledge retrieval
Give users source-backed access to policy, product, operational or client information without separating them from the workflow.
Document-driven workflows
Extract, classify and route information where manual reading is a meaningful constraint.
Analytical decision support
Combine internal data, external context and models into repeatable views that support a specific decision.
Workflow automation
Use agents and automation for bounded tasks with explicit tools, permissions and escalation paths.
BUILT BY DATALUX
Keep the answer connected to the source.
Ivy was designed around source-backed information retrieval inside an operational application, with navigation for chat, calls, data flows and user management.
That structure matters: AI becomes more useful when the system around it knows what the user is doing, what information is authoritative and when the answer needs a human check.
See Ivy →EVALUATE BEFORE YOU SCALE
A convincing prototype proves the workflow, not just the model.
Grounding
Can the response be tied back to the right source material?
Task success
Does the capability reduce effort or improve the decision it was introduced for?
Controls
Are permissions, escalation and audit expectations explicit?
Operating fit
Can the team use it inside the systems and responsibilities they already have?
START WITH THE INITIATIVE
Move the initiative from decision to working capability.
Bring us the objective, constraints and current environment. We can help define a credible first scope and determine whether DataLux is the right team to deliver it.