Arcentra Systems

Arcentra demonstrations

Enterprise AI.
In action.

A closer look at the systems we build.
From your business challenge to a focused pilot.

Explore the approach

Video walkthroughs coming soon.

Enterprise use cases

Real workflows.
Clear purpose.

Bring AI into everyday work: find answers across company knowledge, review customer documents and investigate business performance using data from your data lake.

Knowledge & operations

Enterprise
Knowledge

For IT, operations and internal support teams

Ask a question across internal documentation and work items. Bring relevant information together in an answer with references your team can open and check.

  • Search company documents and tasks by meaning and keywords.
  • Trace answers to their sources and identify when evidence is insufficient.
  • Support access-aware search using configured source permissions.

Example workflow

A new team member asks how to handle a service incident, finds the relevant runbook and related tasks, and checks the original sources.

Sources: Confluence · Google Drive · Jira · GitLab. Other systems with an available API can also be integrated.

Video walkthrough Coming soon

Onboarding & document review

KYC Document
Intelligence

For onboarding and compliance operations teams

Bring customer-declared information and document evidence into one review. Extract relevant fields, surface inconsistencies and give the reviewer a clear basis for a decision.

  • Extract passport machine-readable data and check its internal consistency.
  • Review capture quality and compare declared details with document evidence.
  • Inspect the checks, record a human decision and retain its audit history.

Example workflow

An onboarding reviewer compares an application with passport and address evidence, investigates a mismatch and records what needs further review.

Designed for deployment within your infrastructure, with human review.

Video walkthrough Coming soon

Data & analytics

Data Lake
Intelligence

For analytics, finance and business operations teams

Turn a business question into an investigation across approved datasets in your data lake. Combine transaction and operational data, compare trends and break down unexpected changes into findings your team can verify.

Example workflow · Data sources and access defined for each pilot.

  • Ask questions in natural language and translate them into queries over selected datasets.
  • Compare periods, channels and customer segments to identify unusual changes in business metrics.
  • Review the findings alongside the underlying queries, source data and assumptions.

Example workflow

A bank’s operations analyst investigates a rise in declined payments. The analysis compares decline rates with the previous period, breaks them down by channel and provider, and highlights which segments account for the increase.

Video walkthrough Coming soon

From vision to production

Your use case.
A working direction.

Start with the problem you need to solve. We will walk through the workflow, discuss the engineering behind it and shape the next step together.

Explore the workflow

Look at the inputs, the system’s role and the result your team needs. Make the business process the starting point.

Look under the hood

Discuss architecture, integrations and deployment. Understand how the system would fit your existing environment.

Define a focused pilot

Agree on a clear scope and success criteria. Give your team something concrete to evaluate before moving forward.

Let’s build what matters

Bring your challenge.
Let’s explore it.

Tell us about your use case. Our engineering team will help define a focused pilot.

Discuss your use case